Clarity helps. We facilitate.

Data cleansing & predictive analytics solutions to empower your marketing
Understanding Credit Algorithms as an opportunity cost

Success now depends on timely, critical decisions, based on data at hand.

Empower your business decisions with clean, Augmented Data, available to you in a user friendly format

Optimise your inventory management & supply chain movement with retail analytics.

We empower your business

Offer the best experience to your customers across all channels with 360-degree Customer One View.

CRM analytics service

Next Generation Data Analytics

A multi-disciplinary approach to leverage on concepts of streams such as Statistics, Mathematics, Operations Research, Natural Language Processing, Artificial Intelligence, Machine Learning Algorithms and an expertise over SAS family of tools.

Customer One View 360 data model

Advanced Text
Mining

We analyse large amounts (Few Hundred of GB to TB’s) of qualitative data such as social media data/ transliteration of call centre conversations/ client emails using SPSS Text Modeler, SAS Text Miner and some capabilities developed.

predictive analytics service

Marketing
Research

As all the data needed to take a decision is often not available, to plug the data availability gaps, Market Research is often needed. To this extent, Facts ‘n’ Data® also does Market Research to capture and analyse data to fill these gaps.

retail analytics service

Data Cleansing Tool

We have developed a proprietary algorithm that cleanses (real-time or historical) data. As an example, 50 Mn records with 165 variables of various kinds (email Ids, Spatial (Longitude-Latitude) data, PIN or ZIP codes, Mobile Numbers, 9 Social Media Handles, Demographic and other information.

top data analytics companies in india

Credit Rating Tool

Banks & NBFC's rely on credit score provided by various credit bureaus in India to judge a borrower's credit worthiness. A credit score for the same person throws some challenging stats by the credit bureau. Instances of same person being stated of a different gender in the same report.

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