95% of businesses cite the need to manage unstructured data as a problem for their business.(Source: Forbes)
80-90% of the data we generate today is unstructured.(Source: CIO)
97.2% of organizations are investing in big data and AI.(Source: New Vantage)
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.
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.
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.
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.
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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