“Big Data” was all the rage in 2012. Everyone from your company’s president, to President Obama to a passerby on Main Street had something to say about it. Whether any of them could actually define the term was another matter; not even the experts seem to agree on what it means.

2012 at a Glance

We spent the year interviewing and listening to vendors and early adopters talk about Big Data. We knocked on the doors of both brick and mortar firms whose businesses aren’t web-based and on those that are — Linkedin, Eventbrite, Kaggle and Match.com are just a few examples.

And while the latter group spoke of pushing the envelope with Hadoop and machine learning, the others were dazed by all the Hadoopola — they were excited by Big Data’s possibilities, but not yet ready to implement meaningful enterprise-wide strategies, to invest in the required technologies, to hire data scientists and so on.

It’s worth noting that some of these firms did run Big Data pilots, but that’s as far as they got. “Big Data is really, really hard,” many of them told us.

That’s why we say that history will show that 2013, not 2012, was the year of Big Data. It will go down as the year in which companies talked less about it and began to adopt and reap real benefits from it.

And though we’re tempted to make bigger, but more specific predictions, we’re going to leave them to the experts in the market.

The Predictions

We asked them one simple question, “What’s your prediction for Big Data in 2013?” Here are the best of their largely unedited answers. It’s a lengthy read, but interesting, mind-bending and provocative.

Dig in!

John Schroeder, CEO and CoFounder, MapR
  • Revenue generating use cases (of Big Data) will trump cost saving applications.
  • Hadoop will pull away from the other Big Data analytics alternatives.
  • Hadoop expertise is growing rapidly, but a shortage of talent remains.
  • SQL-based tools for Hadoop will continue to expand.
  • HBase will become a popular platform for BlobStores (BLOB=binary large objects).
  • Hadoop will be used more in real-time applications.
  • Hardware will become optimized for use with Hadoop.
  • HBase emerges as attractive platform for lightweight OLTP.

Laura Teller, Chief Strategy Officer, Opera Solutions Wall Street is going to use Data Equity to Value Companies

As the year goes on, Wall St. is going to increasingly use “data equity” to value companies, much as they have used brand equity in the past. A company’s ability to gather and leverage large amounts of exclusive forms of data will form a new axis in computing a company’s long-term value. New fortunes will be made with this equation.

Big Data Apps will be a major trend in 2013

Big Data helps us finds new and different answers, but with Big Data’s impact spreading across many markets, industries and fields of research, the answers also require new ways of asking the right questions.

In 2013, the real money will not be in data management platforms like Hadoop and NoSQL, or in how a business collects and processes data. Because most businesses will be naturally hesitant to rip and replace database and storage infrastructures that took years and often hundreds of millions to build, true innovation won’t take hold there. The real emerging market and money, or innovation in this case, will be in Big Data applications — custom applications that help quickly answer domain-specific questions.

Herb Cunitz, President, Hortonworks Emergence of vertically aligned Apache Hadoop “solutions”

As the keynote of Hadoop Summit last year, Geoffrey Moore characterized Apache Hadoop as currently crossing the chasm and that we would know it has landed on the other side and is enjoying adoption by the mainstream when vertical solutions arise.

As more and more companies gain success we will see patterns and solutions arise that are custom-fit for a challenge found in a particular industry. As the system integrators and consultants become more and more expert on Apache Hadoop, they will wrap solutions in packages and we will see the emergence of these vertical solutions. Facilitating the growth of this ecosystem is a core strategy at Hortonworks.

David Jonker, Head of Big Data Strategy, SAP

In-memory computing will become a cornerstone technology in every Big Data project where timeliness is key; the vendors who have not yet announced an in-memory capability will finally get on the bandwagon. The ‘killer use case’ will revolve around personalized consumer experiences in the ‘bricks and mortar’ world as companies look for any and every competitive edge.

Privacy and other social issues related to Big Data will start to get more airtime by the end of 2013 as the public begins to understand how much information enterprises collect and can access about an individual.

Ben Werther, Founder and CEO Platfora

I predict the emergence of the ‘Data Reservoir’ as the big data architecture that leading enterprises will embrace in 2013. The Data Reservoir model is increasingly central to the thinking of many large banks and Internet companies — rather than do painful manual integration between data warehouse silos, the Data Reservoir allows you to feed a copy of all interesting data into a unified Hadoop-based repository. This is the foundation for much more agile exploration, discovery and analysis in 2013.

Sanjay Mehta, Vice President of Product Marketing, Splunk   The Big Data Conversation will Shift

In 2013, the attention surrounding Big Data will shift from focusing on the enormity of data and infrastructure technologies, to the specific uses of Big Data and new applications/ways to harness it. Basically, we will hear and see more proof to rationalize Big Data software.

Cars.com, for example, increases revenue, defends its website and enhances the user experience by analyzing data across the organization with Splunk Enterprise. Next year, more users like Cars.com will talk about the results of Big Data and the business decisions driven by analyzing an increasing amount of machine-generated big data — this is what Splunk calls operational intelligence.

Srikanth Velamakanni, Co-founder and CEO, Fractal Analytics
  1. At least one major IPO and a couple of Instagram/YouTube style acquisitions. Splunk will face pressure due to heightened expectations.
  2. Talent shortage will become more acute and pose a real threat to some companies’ growth prospects.
  3. Rise of AI within Analytics space. The fields of computer science, AI, machine learning and game theory will play a greater role in Big Data Analytics.
  4. Rise of personal (self) analytics. More and more companies will provide data to consumers in a way they can analyze to control their behavior and personal life.
  5. Companies will develop clearer privacy policies and give consumers more control of their sharing. A specific segment of consumers would emerge that actively manage what they share with who.
  6. Big Data analytics will see more applications across industries. More companies will exceed Big Data management capabilities and seek external expertise.
  7. A significant increase in mobile analytics. Mobile push analytics will change how consumers consume information and buy things.
  8. More intelligent devices and appliances will emerge with a significant degree of embedded analytics.
  9. More focus on real time analytics although I don’t expect much progress within the year.
  10. Analytics product companies that can’t handle large data volume, variety or velocity will struggle to survive.
Steve Hillion, Chief Product Officer, Alpine Data Labs
  1. Commercial distributions of Hadoop will begin to dominate. As more organizations begin to take Hadoop seriously, they will want to pay for fully-supported commercial versions. And as those commercial versions gain maturity, we may see some consolidation, perhaps even an acquisition of Cloudera as the big players vie for leadership in big data.
  2. Greater Maturity in BI. As the traditional BI vendors get their offerings working on the latest SQL interfaces into Hadoop, and as newcomers like Datameer and Platfora push the envelope, there will be a clash that ultimately benefits the consumer. Beyond basic BI, vendors will support more advanced visualizations and novel ways of exploring big data.
  3. Hadoop will find its identity as the sandbox for data science. This year, Hadoop has struggled to get beyond simple batch processing and to realize its potential as a platform for advanced analytics. For those that want to go beyond batch, and beyond basic reporting, organizations such as Think Big Analytics, SAS and Alpine Data Labs will finally allow everyday users to get deep insights from their big data.
  4. Data Warehouse move to the cloud. While larger organizations remain tied to their on-premises warehouses, smaller companies and early adopters will move more and more of their data assets into the cloud.
  5. Challenges to Hadoop will begin to appear. Users will reach a point of frustration with performance limitations, version chaos, and the myriad different standards and interfaces. Rival technologies and platforms will leverage HDFS as a substrate while moving beyond the performance limitations of Hadoop — and consequently there will be a push for greater innovation in all of the big data platforms.

“Big Data” was all the rage in 2012. Everyone from your company’s president, to President Obama to a passerby on Main Street had something to say about it. Whether any of them could actually define the term was another matter; not even the experts seem to agree on what it means.

2012 at a Glance

We spent the year interviewing and listening to vendors and early adopters talk about Big Data. We knocked on the doors of both brick and mortar firms whose businesses aren’t web-based and on those that are — Linkedin, Eventbrite, Kaggle and Match.com are just a few examples.

And while the latter group spoke of pushing the envelope with Hadoop and machine learning, the others were dazed by all the Hadoopola — they were excited by Big Data’s possibilities, but not yet ready to implement meaningful enterprise-wide strategies, to invest in the required technologies, to hire data scientists and so on.

It’s worth noting that some of these firms did run Big Data pilots, but that’s as far as they got. “Big Data is really, really hard,” many of them told us.

That’s why we say that history will show that 2013, not 2012, was the year of Big Data. It will go down as the year in which companies talked less about it and began to adopt and reap real benefits from it.

And though we’re tempted to make bigger, but more specific predictions, we’re going to leave them to the experts in the market.

The Predictions

We asked them one simple question, “What’s your prediction for Big Data in 2013?” Here are the best of their largely unedited answers. It’s a lengthy read, but interesting, mind-bending and provocative.

Dig in!

John Schroeder, CEO and CoFounder, MapR
  • Revenue generating use cases (of Big Data) will trump cost saving applications.
  • Hadoop will pull away from the other Big Data analytics alternatives.
  • Hadoop expertise is growing rapidly, but a shortage of talent remains.
  • SQL-based tools for Hadoop will continue to expand.
  • HBase will become a popular platform for BlobStores (BLOB=binary large objects).
  • Hadoop will be used more in real-time applications.
  • Hardware will become optimized for use with Hadoop.
  • HBase emerges as attractive platform for lightweight OLTP.

Laura Teller, Chief Strategy Officer, Opera Solutions Wall Street is going to use Data Equity to Value Companies

As the year goes on, Wall St. is going to increasingly use “data equity” to value companies, much as they have used brand equity in the past. A company’s ability to gather and leverage large amounts of exclusive forms of data will form a new axis in computing a company’s long-term value. New fortunes will be made with this equation.

Big Data Apps will be a major trend in 2013

Big Data helps us finds new and different answers, but with Big Data’s impact spreading across many markets, industries and fields of research, the answers also require new ways of asking the right questions.

In 2013, the real money will not be in data management platforms like Hadoop and NoSQL, or in how a business collects and processes data. Because most businesses will be naturally hesitant to rip and replace database and storage infrastructures that took years and often hundreds of millions to build, true innovation won’t take hold there. The real emerging market and money, or innovation in this case, will be in Big Data applications — custom applications that help quickly answer domain-specific questions.

Herb Cunitz, President, Hortonworks Emergence of vertically aligned Apache Hadoop “solutions”

As the keynote of Hadoop Summit last year, Geoffrey Moore characterized Apache Hadoop as currently crossing the chasm and that we would know it has landed on the other side and is enjoying adoption by the mainstream when vertical solutions arise.

As more and more companies gain success we will see patterns and solutions arise that are custom-fit for a challenge found in a particular industry. As the system integrators and consultants become more and more expert on Apache Hadoop, they will wrap solutions in packages and we will see the emergence of these vertical solutions. Facilitating the growth of this ecosystem is a core strategy at Hortonworks.

David Jonker, Head of Big Data Strategy, SAP

In-memory computing will become a cornerstone technology in every Big Data project where timeliness is key; the vendors who have not yet announced an in-memory capability will finally get on the bandwagon. The ‘killer use case’ will revolve around personalized consumer experiences in the ‘bricks and mortar’ world as companies look for any and every competitive edge.

Privacy and other social issues related to Big Data will start to get more airtime by the end of 2013 as the public begins to understand how much information enterprises collect and can access about an individual.

Ben Werther, Founder and CEO Platfora

I predict the emergence of the ‘Data Reservoir’ as the big data architecture that leading enterprises will embrace in 2013. The Data Reservoir model is increasingly central to the thinking of many large banks and Internet companies — rather than do painful manual integration between data warehouse silos, the Data Reservoir allows you to feed a copy of all interesting data into a unified Hadoop-based repository. This is the foundation for much more agile exploration, discovery and analysis in 2013.

Sanjay Mehta, Vice President of Product Marketing, Splunk   The Big Data Conversation will Shift

In 2013, the attention surrounding Big Data will shift from focusing on the enormity of data and infrastructure technologies, to the specific uses of Big Data and new applications/ways to harness it. Basically, we will hear and see more proof to rationalize Big Data software.

Cars.com, for example, increases revenue, defends its website and enhances the user experience by analyzing data across the organization with Splunk Enterprise. Next year, more users like Cars.com will talk about the results of Big Data and the business decisions driven by analyzing an increasing amount of machine-generated big data — this is what Splunk calls operational intelligence.

Srikanth Velamakanni, Co-founder and CEO, Fractal Analytics
  1. At least one major IPO and a couple of Instagram/YouTube style acquisitions. Splunk will face pressure due to heightened expectations.
  2. Talent shortage will become more acute and pose a real threat to some companies’ growth prospects.
  3. Rise of AI within Analytics space. The fields of computer science, AI, machine learning and game theory will play a greater role in Big Data Analytics.
  4. Rise of personal (self) analytics. More and more companies will provide data to consumers in a way they can analyze to control their behavior and personal life.
  5. Companies will develop clearer privacy policies and give consumers more control of their sharing. A specific segment of consumers would emerge that actively manage what they share with who.
  6. Big Data analytics will see more applications across industries. More companies will exceed Big Data management capabilities and seek external expertise.
  7. A significant increase in mobile analytics. Mobile push analytics will change how consumers consume information and buy things.
  8. More intelligent devices and appliances will emerge with a significant degree of embedded analytics.
  9. More focus on real time analytics although I don’t expect much progress within the year.
  10. Analytics product companies that can’t handle large data volume, variety or velocity will struggle to survive.
Steve Hillion, Chief Product Officer, Alpine Data Labs
  1. Commercial distributions of Hadoop will begin to dominate. As more organizations begin to take Hadoop seriously, they will want to pay for fully-supported commercial versions. And as those commercial versions gain maturity, we may see some consolidation, perhaps even an acquisition of Cloudera as the big players vie for leadership in big data.
  2. Greater Maturity in BI. As the traditional BI vendors get their offerings working on the latest SQL interfaces into Hadoop, and as newcomers like Datameer and Platfora push the envelope, there will be a clash that ultimately benefits the consumer. Beyond basic BI, vendors will support more advanced visualizations and novel ways of exploring big data.
  3. Hadoop will find its identity as the sandbox for data science. This year, Hadoop has struggled to get beyond simple batch processing and to realize its potential as a platform for advanced analytics. For those that want to go beyond batch, and beyond basic reporting, organizations such as Think Big Analytics, SAS and Alpine Data Labs will finally allow everyday users to get deep insights from their big data.
  4. Data Warehouse move to the cloud. While larger organizations remain tied to their on-premises warehouses, smaller companies and early adopters will move more and more of their data assets into the cloud.
  5. Challenges to Hadoop will begin to appear. Users will reach a point of frustration with performance limitations, version chaos, and the myriad different standards and interfaces. Rival technologies and platforms will leverage HDFS as a substrate while moving beyond the performance limitations of Hadoop — and consequently there will be a push for greater innovation in all of the big data platforms.

“Big Data” was all the rage in 2012. Everyone from your company’s president, to President Obama to a passerby on Main Street had something to say about it. Whether any of them could actually define the term was another matter; not even the experts seem to agree on what it means.

2012 at a Glance

We spent the year interviewing and listening to vendors and early adopters talk about Big Data. We knocked on the doors of both brick and mortar firms whose businesses aren’t web-based and on those that are — Linkedin, Eventbrite, Kaggle and Match.com are just a few examples.

And while the latter group spoke of pushing the envelope with Hadoop and machine learning, the others were dazed by all the Hadoopola — they were excited by Big Data’s possibilities, but not yet ready to implement meaningful enterprise-wide strategies, to invest in the required technologies, to hire data scientists and so on.

It’s worth noting that some of these firms did run Big Data pilots, but that’s as far as they got. “Big Data is really, really hard,” many of them told us.

That’s why we say that history will show that 2013, not 2012, was the year of Big Data. It will go down as the year in which companies talked less about it and began to adopt and reap real benefits from it.

And though we’re tempted to make bigger, but more specific predictions, we’re going to leave them to the experts in the market.

The Predictions

We asked them one simple question, “What’s your prediction for Big Data in 2013?” Here are the best of their largely unedited answers. It’s a lengthy read, but interesting, mind-bending and provocative.

Dig in!

John Schroeder, CEO and CoFounder, MapR
  • Revenue generating use cases (of Big Data) will trump cost saving applications.
  • Hadoop will pull away from the other Big Data analytics alternatives.
  • Hadoop expertise is growing rapidly, but a shortage of talent remains.
  • SQL-based tools for Hadoop will continue to expand.
  • HBase will become a popular platform for BlobStores (BLOB=binary large objects).
  • Hadoop will be used more in real-time applications.
  • Hardware will become optimized for use with Hadoop.
  • HBase emerges as attractive platform for lightweight OLTP.

Laura Teller, Chief Strategy Officer, Opera Solutions Wall Street is going to use Data Equity to Value Companies

As the year goes on, Wall St. is going to increasingly use “data equity” to value companies, much as they have used brand equity in the past. A company’s ability to gather and leverage large amounts of exclusive forms of data will form a new axis in computing a company’s long-term value. New fortunes will be made with this equation.

Big Data Apps will be a major trend in 2013

Big Data helps us finds new and different answers, but with Big Data’s impact spreading across many markets, industries and fields of research, the answers also require new ways of asking the right questions.

In 2013, the real money will not be in data management platforms like Hadoop and NoSQL, or in how a business collects and processes data. Because most businesses will be naturally hesitant to rip and replace database and storage infrastructures that took years and often hundreds of millions to build, true innovation won’t take hold there. The real emerging market and money, or innovation in this case, will be in Big Data applications — custom applications that help quickly answer domain-specific questions.

Herb Cunitz, President, Hortonworks Emergence of vertically aligned Apache Hadoop “solutions”

As the keynote of Hadoop Summit last year, Geoffrey Moore characterized Apache Hadoop as currently crossing the chasm and that we would know it has landed on the other side and is enjoying adoption by the mainstream when vertical solutions arise.

As more and more companies gain success we will see patterns and solutions arise that are custom-fit for a challenge found in a particular industry. As the system integrators and consultants become more and more expert on Apache Hadoop, they will wrap solutions in packages and we will see the emergence of these vertical solutions. Facilitating the growth of this ecosystem is a core strategy at Hortonworks.

David Jonker, Head of Big Data Strategy, SAP

In-memory computing will become a cornerstone technology in every Big Data project where timeliness is key; the vendors who have not yet announced an in-memory capability will finally get on the bandwagon. The ‘killer use case’ will revolve around personalized consumer experiences in the ‘bricks and mortar’ world as companies look for any and every competitive edge.

Privacy and other social issues related to Big Data will start to get more airtime by the end of 2013 as the public begins to understand how much information enterprises collect and can access about an individual.

Ben Werther, Founder and CEO Platfora

I predict the emergence of the ‘Data Reservoir’ as the big data architecture that leading enterprises will embrace in 2013. The Data Reservoir model is increasingly central to the thinking of many large banks and Internet companies — rather than do painful manual integration between data warehouse silos, the Data Reservoir allows you to feed a copy of all interesting data into a unified Hadoop-based repository. This is the foundation for much more agile exploration, discovery and analysis in 2013.

Sanjay Mehta, Vice President of Product Marketing, Splunk   The Big Data Conversation will Shift

In 2013, the attention surrounding Big Data will shift from focusing on the enormity of data and infrastructure technologies, to the specific uses of Big Data and new applications/ways to harness it. Basically, we will hear and see more proof to rationalize Big Data software.

Cars.com, for example, increases revenue, defends its website and enhances the user experience by analyzing data across the organization with Splunk Enterprise. Next year, more users like Cars.com will talk about the results of Big Data and the business decisions driven by analyzing an increasing amount of machine-generated big data — this is what Splunk calls operational intelligence.

Srikanth Velamakanni, Co-founder and CEO, Fractal Analytics
  1. At least one major IPO and a couple of Instagram/YouTube style acquisitions. Splunk will face pressure due to heightened expectations.
  2. Talent shortage will become more acute and pose a real threat to some companies’ growth prospects.
  3. Rise of AI within Analytics space. The fields of computer science, AI, machine learning and game theory will play a greater role in Big Data Analytics.
  4. Rise of personal (self) analytics. More and more companies will provide data to consumers in a way they can analyze to control their behavior and personal life.
  5. Companies will develop clearer privacy policies and give consumers more control of their sharing. A specific segment of consumers would emerge that actively manage what they share with who.
  6. Big Data analytics will see more applications across industries. More companies will exceed Big Data management capabilities and seek external expertise.
  7. A significant increase in mobile analytics. Mobile push analytics will change how consumers consume information and buy things.
  8. More intelligent devices and appliances will emerge with a significant degree of embedded analytics.
  9. More focus on real time analytics although I don’t expect much progress within the year.
  10. Analytics product companies that can’t handle large data volume, variety or velocity will struggle to survive.
Steve Hillion, Chief Product Officer, Alpine Data Labs
  1. Commercial distributions of Hadoop will begin to dominate. As more organizations begin to take Hadoop seriously, they will want to pay for fully-supported commercial versions. And as those commercial versions gain maturity, we may see some consolidation, perhaps even an acquisition of Cloudera as the big players vie for leadership in big data.
  2. Greater Maturity in BI. As the traditional BI vendors get their offerings working on the latest SQL interfaces into Hadoop, and as newcomers like Datameer and Platfora push the envelope, there will be a clash that ultimately benefits the consumer. Beyond basic BI, vendors will support more advanced visualizations and novel ways of exploring big data.
  3. Hadoop will find its identity as the sandbox for data science. This year, Hadoop has struggled to get beyond simple batch processing and to realize its potential as a platform for advanced analytics. For those that want to go beyond batch, and beyond basic reporting, organizations such as Think Big Analytics, SAS and Alpine Data Labs will finally allow everyday users to get deep insights from their big data.
  4. Data Warehouse move to the cloud. While larger organizations remain tied to their on-premises warehouses, smaller companies and early adopters will move more and more of their data assets into the cloud.
  5. Challenges to Hadoop will begin to appear. Users will reach a point of frustration with performance limitations, version chaos, and the myriad different standards and interfaces. Rival technologies and platforms will leverage HDFS as a substrate while moving beyond the performance limitations of Hadoop — and consequently there will be a push for greater innovation in all of the big data platforms.

Multi-Media Productions (USA), Inc. is pleased to announce that Fractal Analytics, the most global provider of analytics, will be airing on 21st Century Business on Fox Business Network

Successful companies know analytics is the key to harness the power of Big Data to turn customers into fans and drive more profitable decisions. Companies want to understand consumer behavior more completely so they can build products that customers’ love. To decode this behavior, companies are turning to experienced analytics companies to help them transform their data into insights that drive customer and shareholder value.

JL Haber, Vice President of Programming at Multi Media Productions, added, “Fractal Analytics is well positioned to create substantial value for businesses that seek growth and compete more effectively through analytics. Their ability to design, build and implement breakthrough analytics across industries makes them a natural fit for our show. We are excited to have them as a guest on our program.”

The segment includes a field report by Fractal Analytics’ client Agustin J. de Dios who shares how Kimberly Clark uses analytics to better understand customer perception of their billion dollar brands.

“Kimberly Clark is a great example of a leading company that uses analytics to define market and customer-centric strategies. We help them understand what drives demand to optimize and forecast the bottom-line impact of their product, promotion and pricing decisions,” says Srikanth Velamakanni, co-founder & Chief Executive Officer, Fractal Analytics.

About 21st Century Business

21st Century Business is an award winning targeted business show that is independently produced by Multi-Media Productions. The show provides its business viewers an in depth opportunity to find solutions to the industry problems from some of the top business leaders from across the world. Each exclusive segment is taped in our state of the art South Florida Studio Once selected, companies are able to present their story and solutions to industry problems in an exclusive way that sets their company apart from the others. With more than 6,000 companies participating on over 600 shows, 21st Century Business continues to be the premier and targeted outlet for the latest business stories.

21st Century Business airs on various national cable networks that are viewed by over 100 million viewers nationwide as well as internationally via DirecTV and Dish Network. The show can also be viewed through video on demand via http://www.21cbtv.com . The 21CBTV Series is also available at more than 27 prestigious college universities, including Carnegie Mellon University, Howard University, Dartmouth College and Georgetown University.

For specific market-by-market air dates and times, please e-mail [email protected] For more information, please visit http://www.21cbtv.com .

This information was brought to you by Cision http://www.cisionwire.com

About Fractal Analytics

We believe analytics is critical to deeply connect with consumers to earn customer loyalty, make better incremental decisions, and ultimately improve lives. Fortune 500 companies partner with Fractal to solve problems with breakthrough analytic solutions, set up analytical centers of excellence, and drive the implementation of data driven decisioning.

We help businesses: (a) Understand, predict and influence consumer behavior; (b) Improve marketing, pricing, supply chain, risk and claims management; (c) Harmonize data, visualize information, build dashboards and forecast business performance.

For more information: www.fractal.ai

Careen Foster
510.229.2166
[email protected]

Sharmila Shah
91.22. 4067.5800
[email protected]

WASHINGTON, Nov 13, 2012 (BUSINESS WIRE)

Fractal Analytics, the most global provider of analytics, has announced that Saurabh Mittal has joined them as Senior Vice President, Consumer Packaged Goods and Retail.

Announcing this, Srikanth Velamakanni, co-founder and Chief Executive Officer added, “Saurabh’s hands-on experience working with Fortune 500 CMOs and CIOs in social media innovation and customer experience will bring tremendous value to Fractal Analytics and its clients. Saurabh is a recognized industry expert who will drive innovation and strengthen our client relationships.” Saurabh commented, “I am excited to be part of Fractal Analytics’ high energy environment. I will be a thought partner of Fractal’s key and emerging clients and will work closely with Fractal Sciences to deliver client value.” Fractal Sciences is Fractal’s innovation arm working on advanced Big Data and machine-learning problems to deliver a scalable computation infrastructure, advanced algorithms and analytics consumption platforms to Fractal’s clients.

Saurabh is based out of Fractal Analytics’ Delhi office. Saurabh brings more than 15 years of experience consulting with global clients in North America, Latin America, Europe and Asia. Before Fractal, Saurabh was a senior leader and global head of the Customer Experience consulting practice at Wipro. He earned an MBA from University of Oxford where he was a British Chevening Scholar and received his engineering degree from IIT Delhi.

About Fractal Analytics

We believe analytics is critical to deeply connect with consumers, earn customer loyalty, make better decisions to reduce waste, and ultimately improve lives. Fortune 500 companies partner with Fractal to build breakthrough analytic solutions, set up analytical centers of excellence, and create a culture of data driven decisioning.

We solve problems, operationalize solutions to drive results, and ultimately drive change in organizations towards fact-based decisioning. We help businesses: (a) Understand, predict and influence consumer behavior; (b) Improve marketing, pricing, supply chain, risk and claims management; (c) Harmonize data, visualize information, build dashboards and forecast business performance.

This information was brought to you by Cision http://www.cisionwire.com
SOURCE: Fractal Analytics

Careen Foster
510.229.2166
[email protected]

OR

Sharmila Shah
91.22. 4067.5800
[email protected]

Copyright Business Wire 2012

Fractal Analytics’ CEO Srikanth Velamakanni shares the pain and passion of what it takes to grow a successful company. What it does: Helps companies understand their consumers and use analytics to make the most of marketing and other expenditures. HQ: San Mateo. 2011 revenue: $12.8 million. Employees: 25 in U.S. and 350-plus outside U.S. Founded: 2000. Source of startup capital: $600,000 from angel investors, as well as about $50,000 contributed by the founders and friends. Background: Worked for two investment banks. Graduated with a B.S. in electrical engineering from Indian Institute of Technology’s Delhi campus. Earned an M.B.A. from Indian Institute of Management. Age: 38. Residence: Foster City. Web site: fractal.ai Big picture How’s business: We are growing at about 100 percent per year at this time. We are very capital-efficient. Biggest challenge for your business: Our clients are very global, and they expect us to serve them globally. There are some challenges associated with running a global business that is not a billion dollars in size. What’s going to change at your company in the next year: We will be much more IP-rich, and we are expanding our global team dramatically. We should be also raising some major private equity capital. Hiring: Our U.S. team will grow from 25 to about 85 in the next 12 months. Business moves Reason for starting business: My co-founder and I were working for investment banks. We didn’t find that meaningful. Most difficult part of decision: I really didn’t have any precedent in my entire family history. There was a lot of family resistance. Biggest misconception: Just because you’re the best analytics guy out there doesn’t mean you’re the best guy to run an analytics business. I had to reinvent myself. Biggest business strength: Our hiring acceptance rate has been 1.8 percent. We are very careful about who gets on board. Biggest business weakness: We are not a strong recruitment brand in every part of world. Our biggest challenge is how to scale up the U.S. team. Biggest mistake: We have made so many mistakes that I sometimes wonder why we survived. We stayed too focused in a market that was not right for us. We took too long to expand globally. Smartest move: We are investing in the way of the future: big data. Biggest worry: I don’t want to underplay our hand as this market is exploding. What do you wish you had known from Day 1: We were probably the first player to provide analytics to clients globally. If I had known that it would be this exciting, I would have made a bigger investment. Work routine Most challenging task: Meeting with clients in the many parts of the world where they are interested in working with us. Favorite task: Driving innovation. Least favorite task: I find it challenging to drive everybody to focus on all the initiatives and track them on a regular basis. Source of support in a business crisis: My wife (and) my co-founder. Dreams Key goal yet to achieve: We have a target of being a $100-million business two years from now. We want to be in a lot more countries across the globe. Five-year plan: We should be a business that can potentially go public. First choice for new career or venture: Private equity. Personals Most-admired entrepreneur: Jeff Bezos. Favorite pastimes: I read approximately 40 to 50 books in a year. Favorite book: “Made to Stick,” by Chip and Dan Heath. Favorite film: “Pulp Fiction.” Favorite restaurant: Greens. What’s on iPod: 400 audio books.   Download full article

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By Sainul Abudheen

The analytics vertical weathered the 2008 economic slowdown to evolve as the most attractive segment in the Indian knowledge process outsourcing (KPO) sector in 2011, according to a study by ValueNotes, a market intelligence and consulting firm.

Among the pure play analytics companies, MuSigma topped the Service Provider Evaluation ranking in 2011, with Fractal Analytics and Active Cubes enjoying the second and third positions, said the report titled “Analytics: Financial Performance Review”. Manthan Systems and Vehere came in the fourth and fifth places.

MuSigma recently raised funding to the tune of $108 million led by private equity firm General Atlantic. This is the biggest private equity investment till date in the emerging market for analytics services, and follows Mu Sigma’s April 2011 round of $25 million, led by Sequoia Capital.

Among others, Manthan Systems is backed by Norwes Venture Partners and Fidelity Growth Partners.

ValueNotes surveyed 12 pure-play analytics companies with operations in India. The top five were selected on the basis of their performance on 10 key financial parameters in the fiscal year 2011.

“The key differentiator between the top 5 pure-play analytics companies and their counterparts is that the latter’s performance on employee-based metrics was weak with low revenue per employee and net profit per employee,” Arjun Bhuwalka, project manager at ValueNotes, told Techcircle.in.

Bhuwalka, however, added that overall KPO firms are performing well in the current economic climate: “All the sub-segments’ total income increased in the period 2007 to 2011; pure-play analytics had the highest 5-year CAGR of 39 per cent though LPO (Legal Process Outsourcing) was not far behind at 30 per cent.”

Since 2009, revenue growth slowed down across all KPO sub-segments, except for analytics. Pure-play analytics firms took measures in 2007 to improve profitability and overall performance, and have seen their financial performance improve despite the poor economic environment.

According to Bhuwalka, the biggest challenge for Indian enterprises in Big Data is related to infrastructure and talent. “Big Data consumes a lot of storage, bandwidth and processing speed, and adequate infrastructure will be needed to support its demand. Shortage of skilled workers will be one of the biggest concerns in Big Data as more than a million trained managers and analysts will be needed over the next three years.”

India needs to adopt newer technologies like storage visualisation, fluid data and multi-tiered data storage to efficiently manage data storage, he said. Another critical need is to improve the physical infrastructure and leverage the cloud emerging tools such as the cloud.

“The 2008 global financial crisis, in fact, boosted demand for analytics services rather than dampening it. Companies affected by the crisis have adopted data analytics to identify, predict and mitigate business risks witnessed by the crisis. Analytics is heavily outcome based and focused, which helps buyers justify their ROI on outsourcing analytics to improve their performance across functions,” said the ValueNotes’ project manager.

If you look at Fractal Analytics’ website, you will see a video commercial of smiling young adults extolling it as “happening” and “vibrant” place to work.

This is by design. From its start in Mumbai in 2000, Fractal’s co-founders, former analysts at the big Indian bank ICICI, realized their growth depended on one thing: talent. A specialized mix of capabilities including mathematics knowledge, problem-solving prowess and communications skills to work with the consulting firm’s clients in a range of industries. That the company has been working on this for 12 years—since just before technology analyst Doug Laney first cited the big data trend and long before reports and surveys citing a talent gap means that Fractal has learned some important lessons as it has grown to approximately 450 people in India and four other countries including the U.S.

Fractal Analytics on Recruiting and Training Top Analytics Talent

Pranay Agrawal,
Executive Vice President of
Global Client Development

Pranay Agrawal, a Fractal Analytics co-founder who is executive vice president of global client development, says the lessons are straightforward: Stick to the top universities. Pick people who not only have talent but also share your values. Invest in their training—repeatedly. And recognize their success.

“Our philosophy, as a company, is that we’re growing a talent pool, number one, where our clients are, which is in the US, in Europe. But we are also growing our talent pool in India where, at this point of time, about 80 to 90 percent of our people are,” says Agrawal, who adds the company hopes to open a training center in the U.S. within a year.

In the past year, Fractal’s recruiting campaign showed the company is choosy. It hired only about 100 people this year, or 2 percent of the 6,000 applications it received. In the interview below, edited for clarity and brevity, Agrawal discussed his company’s approaches to recruiting and training.

Data Informed: What is the philosophy behind your recruiting process?

Pranay Agrawal: I think it’s now amply clear… that businesses have realized that they want to leverage data and analytics. One of the key ingredients of being able to successfully implement analytics programs is the talent.

Therefore, using a global talent pool is not a choice. We have to access talent today wherever the talent is available. Thankfully, we live in a time where, because of technology and communication, it is possible to do that very effectively.

Fractal Analytics’ University Relationships

Fractal Analytics has relationships with several Indian universities. Here are some of the academic institutions in India where Fractal searches for engineering, economics, statistics and management graduates.

  • Indian Institutes of Technology.
  • Indian Statistical Institute.
  • Delhi School of Economics.
  • Mumbai University.
  • Chennai Math Institute.
  • Indian Institute of Management.
  • Bajaj Institute.
How do you overcome the competition for these top graduates?

Agrawal: We believe that the data and analytics evolution has just started. We are very well‑positioned to be one of the companies that will be recognized for changing the way business is done using data and analytics. This is an opportunity for these people to be part of this process, to be part of this entire revolution of data and analytics.

The second thing is that the work itself, we believe, is very compelling. It provides an opportunity to not just leverage your technical skills, but also really make an impact on your client’s bottom‑line, top‑line, and so on.

It’s not very often that you can get work which is interesting. Both from a technical standpoint, it’s intellectually challenging; at the same time, you’re able to see a very immediate impact on your client’s business, which is extremely satisfying.

Of course, there are hygiene factors that you should take care of. You have to offer competitive salaries. You have to offer a great work environment. That is something without which you don’t have a play. If you’re not competitive on the salary side, if the office culture or organization is not that great, then you don’t even have the right to play, and people are going to go elsewhere.

Because you’re drawing so many different types of degrees ‑‑ engineering, statistics, economics, management ‑‑ what is your training program like, where you can bring everyone up to speed to about the same place?

Agrawal: When people join us straight out of university, we have what we call an induction training program. Training and development, it’s a very, very big part of our organization. We believe it is integral to our success and a very strong part of our strategy. We have, within Fractal, Fractal Academy of Analytics, which is exclusively focused on training our people. There is a head for this academy, and that head reports straight to the head of human resources.

When people join the company, they go through various training programs. One is a training program on our values, our culture, our Fractal way of work, because we want the people to imbibe the Fractal culture, and the way we do things, so that there is a certain way which we have developed the organization. We want people to operate in that manner, so that we continue to build and develop that culture of excellence and openness within the organization.

On the technical side, our training program includes modules on areas such as tools, the various tools that are used for analysis, the data and modeling techniques, the statistical techniques, the machine learning techniques, and so on.

The third is the area of domain expertise. And then there is an additional area of soft skills, which is around communication, business etiquette, cultural sensitivity, how to make presentations, and things such as those.

If you think about the total skill set that is required to be effective in this business, number one is the area of techniques, the machine learning statistical analysis techniques. Number two are the tools. Three is domain expertise. You need to understand your client’s business because without that, you’d be applying data and statistics in vacuum.

Three is the ability to communicate this back to your client very effectively in a language that they understand, the entire soft skill of communication, of working with the team, of working with the client.

What are some of the challenges that Fractal sees with administering such a crucial training program for new employees?

Agrawal: Number one is that you need great training material and you need good trainers. You need people who can really train people. They may know the stuff, but do they have the right skill set to train the people?

We have & spent a lot of time and resources in creating the training materials. A lot of it is because we have been in the business for this long and … we have been doing so many different kinds of assignments & so that certainly helps.

It is important that the trainers keep getting feedback on the programs. Every training session that is conducted, it gets rated by all the people that attend it. The scores are public. The trainers get the score. Everyone gets to see the scores.

People have very specific and pointed feedback that they get back from the people that are attending the program, which tells them what went well, what did not go well, and how they can improve on that.

One challenge is that you have to balance the amount of time that people spend in getting trained, that people spend on training other people versus the demands of your clients.

We have made a very conscious choice that we have to invest for the long term. We have carved out that time out of people’s schedules to be part of this program of getting trained and training other people because, really, it’s all about the knowledge. Without the knowledge we will be obsolete very quickly. For us, it’s not a choice. We really have to do that and we make that investment.

Email Staff Writer Ian B. Murphy at [email protected]. Follow him on Twitter @IBMurphyatDI.

Fractal Analytics, a leading provider of predictive analytics, announced today that Inc.com recognizes them among the highest growth private companies in the United States. The 2012 Inc. 5000 list honors Fractal Analytics for their proven growth, 177% since 2008 – ranking #114 among Business Products and Services providers, #73 in San Francisco, and #1647 nationwide. This achievement places Fractal Analytics among elite companies such as Microsoft, Zappos, and Oracle, who previously made the list.

Fractal Analytics attributes their success to: a) global expertise across industries, countries, data and consumer behavior, b) advanced proprietary analytics solutions built to scale, and c) great place to work culture that attracts and retains top analytics talent. Over 30 Fortune 500 companies depend on Fractal to make better incremental decisions and enhance customer loyalty, based on structured and unstructured data from over 180 countries.

Pranay Agrawal, co-founder and Executive Vice President commented “This honor validates the important role Big Data and analytics play to change the way companies do business. It is no surprise that our clients’ evolution to implement more data-driven decisions makes them thought leaders within their company and industry. We believe analytics is coming of age and expect substantially more growth as we expand our client partnerships to solve their tough decision challenges.”

About Fractal Analytics

We believe analytics is critical to deeply connect with consumers to earn customer loyalty, make better incremental decisions, and ultimately improve lives. Fortune 500 companies partner with Fractal to solve problems with breakthrough analytic solutions, set up analytical centers of excellence, and drive the implementation of data driven decisioning.

We help businesses: (a) Understand, predict and influence consumer behavior; (b) Improve marketing, pricing, supply chain, risk and claims management; (c) Harmonize data, visualize information, build dashboards and forecast business performance.

For more information: www.fractal.ai

Careen Foster
510.229.2166
[email protected]

Sharmila Shah
91.22. 4067.5800
[email protected]

How India is building its analytics talent

Bangalore: Analysts have to combine expertise in math mostly statistics and probability,calculus and econometrics — with business knowledge.While Indias traditional strength in math makes available plenty of people with math skills,that does not automatically translate into analytic skills.

Global executive search firm Heidrick & Struggles estimates that India has 50,000 highly qualified analytics professionals.But demand is running at five times this number, says C K Guruprasad,consultant for the technology practice at the firm.

Consulting firm McKinsey estimates that India would need 2 lakh data scientists in the next few years.The extent of hiring for analytics can be gauged from the fact that a single company,Wipro,already has as many as 8,000 people in analytics functions,as per a Heidrick & Struggles report.

Companies are finding different ways to address the talent shortage.Mu Sigma has established what it calls the Mu Sigma University to create a pool of analytics talent.Deepinder Dhingra,head of products & strategy at Mu Sigma,says the company recruits engineering and management talent from campuses and puts them through a three-month mini MBA programme.The company today employs about 2,000 analytics professionals.Fractal Analytics has the Fractal Analytics Academy that seeks to create and leverage learning opportunities to institutionalize analytics.It is a forum to encourage the exchange of information and knowledge,develop domain expertise,and technical and soft skills.Fractal has also designed a series of courses that encapsulates the knowledge that it has developed over the years.

IBM is working with 500 universities in India to embed analytics in their curricula,says the report by Heidrick & Struggles.Redwood Associates started in 2007 as a specialized training facility for analytics and has since trained over 10,000 students.Guruprasad says a large pool of experienced analytics leaders is moving back to India and that would raise awareness and assist in the build-out of talent for analytics teams.While they may not directly solve the immediate talent crunch in terms of the required numbers,these executives will be both a short-term and longterm investment as they help groom others, he says.

Indian corporates too will increasingly require analytics services.Vanitha Narayanan,managing partner for global business services in IBM India,points out that there are many use cases that are unique to India.Telecom companies with massive subscriber numbers need analytics to understand how they can offer customized services to keep their subscribers from moving to competitors.Cell towers in India are today the biggest consumers of diesel after the Indian Railways.So telecom companies need to understand the best way to optimize power management for cell towers.

Avendus Capital executive director Amit Singh says that as the industry matures,Indian analytics service providers will move towards providing more complex services like model development,services based on proprietary IP,and consultative offerings.They will also expand offerings beyond traditional verticals, he says.

IN HIGH DEMAND

Consulting firm McKinsey estimates that India would need 2 lakh data scientists in the next few years Companies are finding different ways to address the talent shortage IBM is working with 500 universities in India to embed analytics in their curricula Mu Sigma has created a pool of analytics talent Fractal Analytics Fractal has designed a series of courses that encapsulates analytics over the years

Fractal Analytics, a leading provider of predictive analytics, shared best practices in applying Big Data to define more precise target marketing at IIRUSA’s 12th Annual Shopper Insights in Action event. The event was held in Chicago and was attended by nearly 600 consumer insights marketers, predominantly from consumer packaged goods and retail segments.

Hari Hariharan, Vice President of Analytical Solutions and Business Development at Fractal Analytics presented a session entitled: “Intelligent Customer Targeting to drive Engagement and ROI.” Hariharan shared tips and metrics to help retailers drive higher response, brand loyalty and potentially $200-$800 million in incremental revenue.

With today’s ever-expanding technology, consumers are becoming more demanding of how companies interact with them, expecting more personalized attention than ever before. In this customer-centric world, companies that expect to grow must build lasting relationships with their customers or face extinction. Yet many marketers are unable to fully integrate customer needs into target marketing strategies and often fail to capture relevant metrics or drive campaigns using a scientific test and learn methodology. Hari Hariharan shared an example of an advanced target marketing approach for a leading retailer that helped them refine product assortment, pricing, promotion and target messaging.

According to Hariharan, “Fractal Analytics’ Customer DNA represents the latest advance in target marketing analytics using a supervised learning form of machine-learning that enables marketers to drive more customer-centric campaigns. We can now decode consumer digital fingerprints by evolving our understanding of their behavior over time, across channels, transactions, social networks, and data derived from other sources. Marketers can now design more precise personalized connections that fit the consumer’s needs and preferences.”

For more insights on Hariharan’s presentation, download the copy of presentation from Fractal’s website at www.fractal.ai/newsandevents/events/147.html.

About Fractal Analytics

We believe analytics is critical to deeply connect with consumers, earn customer loyalty, make better decisions to reduce waste, and ultimately improve lives. Fortune 500 companies partner with Fractal to build breakthrough analytic solutions, set up analytical centers of excellence, and create a culture of data driven decisioning.

We solve problems, operationalize solutions to drive results, and ultimately drive change in organizations towards fact-based decisioning. We help businesses: (a) Understand, predict and influence consumer behavior; (b) Improve marketing, pricing, supply chain, risk and claims management; (c) Harmonize data, visualize information, build dashboards and forecast business performance.

For more information:

www.fractal.ai

Careen Foster
510.229.2166
[email protected]

Fractal Analytics, a leading provider of Big Data predictive analytics, announced today a breakthrough analytics solution that redefines the way marketers engage with consumers. Customer DNA is an advanced machine-learning solution that drives extreme personalization and relevance to increase affinity and loyalty based on a deeper understanding of each customer’s preferences. The solution has been implemented by a national retail group to enhance target marketing, store promotions, assortment and pricing.

Customer DNA infers consumer personality traits and preferences from behavior across multiple channels and from multiple data sources such as business transactions, consumer provided information, social networks and third party information. The Big Data that drive Customer DNA are processed by Hadoop for speed and efficiency. The solution applies an advanced scientific approach to continuously update and reassess what the system understands about consumers – based on what they buy, how they prefer to shop, how and when they respond to seasonal promotions or discounts, as well as how they express themselves in social networks.

Natwar Mall, SVP, Fractal Sciences at Fractal Analytics, said, “Customer DNA will bring back the personalized service experience that was delivered previously only by ‘mom & pop’ stores. It will help large organizations maximize revenue by targeting shoppers with efficient one-to-one message and offer interactions across campaigns and customer touch points.”

Mall added, “Data, science and technology are converging to create unprecedented opportunities to build breakthrough solutions for companies. In response to the high demand from companies that need to deliver a high ROI from Big Data analytics, we developed an advanced analytics organization called Fractal Sciences. Staffed by our best and brightest, Fractal Sciences’ mission is to apply the latest scientific advances and find new synergies across disciplines to bring more cutting-edge solutions to solve key market issues. The Customer DNA solution is among this team’s latest key wins.”

The Customer DNA model is designed to support both Business- to-Consumer and Business-to-Business organizations for retail as well as consumer goods, hotel and entertainment, financial services, insurance, airlines, and direct distributers. In addition to personalized marketing, the solution supports merchandise planning, product assortment and inventory management.

About Fractal Analytics

We believe analytics is critical to deeply connect with consumers, earn customer loyalty, make better decisions to reduce waste, and ultimately improve lives. Fortune 500 companies partner with Fractal to build breakthrough analytic solutions, set up analytical centers of excellence, and create a culture of data driven decisioning.

We solve problems, operationalize solutions to drive results, and ultimately drive change in organizations towards fact-based decisioning. We help businesses: (a) Understand, predict and influence consumer behavior; (b) Improve marketing, pricing, supply chain, risk and claims management; (c) Harmonize data, visualize information, build dashboards and forecast business performance.

For more information: www.fractal.ai

Careen Foster
510.229.2166
[email protected]

Sharmila Shah
91.22. 4067.5800
[email protected]

SAN MATEO, Calif., Jun 28, 2012 (BUSINESS WIRE)

Fractal Analytics a leading provider of predictive analytics, today announced the availability of presentation copies from recent Big Data and Predictive Analytics events held in Orlando, San Francisco and London. Roughly 1,600 Big Data and analytics professionals attended the three events to learn and share the latest innovations and uses of Big Data technology.

At the three events, Fractal Analytics presented on 1) how to get started with Big Data; 2) how to measure the effectiveness of social media; and 3) the 2020 vision of how businesses will move toward analytics

On June 12-16, 2012, Fractal Analytics was invited by its technology partner, Information Builders, to present at their Users Conference Summit 2012 held just outside Orlando, Florida. Deepak Ramanathan, Vice President, Global Consulting for Financial Services and Insurance at Fractal Analytics, presented “Squeezing more insights from big data”. Deepak shared his experience working with companies to get started with Big Data by diagnosing business needs and prioritizing these with an integrated analytics approach to ensure business goals are achieved. Click here for a copy of the presentation.

On April 24-26, Fractal Analytics was invited to present at the Social Media & Web Analytics Innovation Forum by IE Group in San Francisco. Rebecca Schlachter, Director of Advanced Analytics at Fractal Analytics, presented “Measuring, Evaluating and Predicting the Social Consumer” where she shared her perspective on how social media analytics goes beyond measuring sentiment to measure the business impact across selected Key Performance Indicators for all social media and website activities. The solution’s dynamic visualization dashboard shows relationships between each activity and business metric such as ecommerce sales. Download a copy of presentation here.

On April 18-19, 2012, Fractal Analytics and one of their key clients co-presented “The world of payment and business intelligence – A peek into the future”, at two Big Data Analytics conferences hosted by The IE Group in London – Predictive Analytics Innovation and Big Data Innovation.

Sankar Narayanan –Vice President, Client Servicing at Fractal Analytics highlighted four trends shaping Business Intelligence as we approach 2020: 1) a shift from static reporting to predictive and accessible analytics enabling better real-time decisions, 2) need to link analytics investment to business direction and bottom-line results, 3) a T3 (Talent, Tangible, Trust) business maturity scorecard to measure internal collaboration and ensure the power of data is realized, and 4) the convergence of technology to support anytime, anywhere connections between consumers and businesses. To learn more about insights shared during the conference, download a copy of the presentations here.

Prior presentations are available for download here, which will also carry future event presentations. For example, Hari Hariharan, Vice President of Advanced Analytical Solutions at Fractal Analytics will present a new approach to personalize target marketing at the IIR Shopper’s Insights in Actions event in Chicago during July 18-20. Click hereto learn more about this event.

About Fractal Analytics

We believe analytics is critical to deeply connect with consumers, earn customer loyalty, make better decisions to reduce waste, and ultimately improve lives. Fortune 500 companies partner with Fractal to build breakthrough analytic solutions, set up analytical centers of excellence, and create a culture of data driven decisioning.

We solve problems, operationalize solutions to drive results, and ultimately drive change in organizations towards fact-based decisioning.

We help businesses:

  1. Understand, predict and influence consumer behavior;
  2. Improve marketing, pricing, supply chain, risk and claims management;
  3. Harmonize data, visualize information, build dashboards and forecast business performance.

This information was brought to you by Cision http://www.cisionwire.com

SOURCE: Fractal Analytics

Careen Foster
510.229.2166
[email protected]

Sharmila Shah
91.22. 4067.5800
[email protected]
Copyright Business Wire 2012

Fractal Analytics announced the departure of its co-founder and Chief Architect, Nirmal Palaparthi. He will continue to support the company’s growth as a member of the Board of Directors of Fractal’s Singapore entity.

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