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).
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
Engineering
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
Design
Role-based user interfaces
Alerts & nudges for compliance and process
Output can be integrated with any visualization tool
Customer challenges
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-house 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 an order, shipment, invoices & payment records for a 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
Explanatory videos
Our expert
Raj Nigam
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.