Concordia is an AI and Machine Learning data mapping and harmonization platform that enables faster & automated data integration from multiple sources. It allows data sets to converse with each-other for accelerated data to decision transformation.


Concordia’s mission is to democratize data usage across the enterprise by enabling faster data-to-decision transformation and reducing the effort and time that goes into data integration & manipulation. To make this happen, Concordia brings together decision intelligence with AED (AI, Engineering and Design).

  • Concordia

    Artificial Intelligence

    • Data cleansing & mapping including profiling, standardization, matching, and enrichment.
    • Collaborative and pre-built algorithms.
    • The feedback loop ensures the platform learns with every user interaction.
  • Concordia


    • Automated routing of data.
    • Big data architecture to support faster processing.
    • Pre-built connectors for SAP HANA, API, SFTP, Data lake, share-point, etc.
    • Containerized modules for scalable adoption.
  • Concordia


    • Role-based user interfaces.
    • Alerts & nudges for compliance and process.
    • Output can be integrated with any visualization tool.

Our Differentiator


Delivering at scale for business

Any Scale

Million of records with ease

  • Large scale engagement for 900 country-category combinations
  • Up to 2 million rows can be processed
  • Up to 100 GBs of data can be processed

Any Number

And type of fields

  • Name (Product/store), address, description, size, variant, flavors, organization, lat/long, etc.
  • Up to 100 columns/attributes handled & processed with ease.
  • Structured text, unstructured text, Number, Date, Hyperlink, Yes/No.

Any Model

And deployment option

  • Ability to move the capability in-ouse and remove the dependency on partners.
  • Flexible engagement models (License, Managed service).
  • Multiple deployment options (on-premise, private cloud, Fractal managed systems, etc.)

Use Cases

  • Master Data Management: Validate, enrich, and report updates to master data through a collaborative, team-based cloud UI powered by advanced AI algorithms.
  • Accelerated Analytics: Clean, map, transform & harmonize data from multiple data sources quickly to enable 360-degree analytics & visualization.
  • Self-serve Analytics: Democratize data lake by creating self-service analytics ecosystems, accelerating digital transformation, and data harmonization by reducing the turnaround time by 50%.
  • Data Quality check: Manage data for consistency, completeness, and accuracy through outlier detection & identification of anomalies & automated cleaning of past records using AI.
  • Order-to-cash management: Always-on recommendation system for creating & maintaining master data related to order, shipment, invoices & payment records for seamless payments process.
  • Image & Video data management: Data lake enabled by Fractal’s Image & Video Analytics services to store, merge and unify structured & unstructured data for a complete view of the business.

Case Study


Data Harmonization

Find how data synchronization and analysis platform, Concordia lead to an overall improvement of 50% in turnaround time for a Fortune 500 company.


Explanatory videos

Nexus: Reducing data to decision time for your business
Concordia: Harmonizing data for your business

Our Expert

  • Our expert: Raj Nigam, Engagement Manager

    Raj Nigam

    Engagement Manager

  • Raj Nigam leads consulting & delivery of analytics programs in Supply chain, business intelligence and ecommerce for Fortune 500 CPG clients globally. He comes up with 10+ years of experience with specialization in implementing scaled machine learning solutions, Master data management & automated data-to-decision transformation.

    Raj has done his B.Tech in Chemical Engineering from IIT Delhi and has keen interest in use of AI in data transformation, technical analysis driven trading & reading.

Ready to learn more?