2012: Facts ‘n’ Data was incorporated as a Private Limited Company registered with Registrar of Companies, New Delhi with the mission of making Scientific Decision making accessible to organisations of all size across functional areas. It was incorporated by professionals with >25 years of experience (at the time of inception) given the acute paucity of trained manpower, systems and appetite for experimentation. 

2013: StatLabs – a Statistics R&D unit established within Facts n Data with the objective of R&D in Statistics, Mathematics and Operations Research. It was observed that from the date of publication of a Research it takes 25-30 years to make the research usable for corporates. StatLabs cuts this time short to 3-4 years. StatLabs keeps a tab on latest academic activities and finds business use cases of these techniques so that they can be made available to clients within 3-4 years. To date, Facts ‘n’ Data has ~30 algorithms to its credit.

2015- “Facts ‘n’ Data” gets registered as a Trademark.

2016: “StatLabs” registered as Trademark. 

2020: Realising that almost 40-65% time of any Advanced Analytics project is spent on Data Cleansing, the team developed a Data Cleansing tool that saves 85% of data cleansing time so that the time saved can be better utilised for analysis. 

2021: The team also developed a Credit Rating tool that augments and merges data from multiple resources and irons out anomalies in multiple credit reports to do behavioural segmentation of users based on historical data. This, in turn, can be used by BFSI sector to assess risk based on different user segments and pick the segments based on their appetite and business objectives.

2022: The team develops a recommender engine for D2C brands providing them with real-time recommendations on corrective actions to boost their sales. This led an Amazon.com reseller to boost sales from US$4.1 Mn p.a. to ~US$ 59.7 Mn in a span of 16 months!

To date: The team has worked on >80 clients on over 600 projects across 14 industry verticals. Some indicative projects include Marketing Analytics tool development, e-Commerce sales booster, establishing Social Media war room.

Spread Scientific Decision Making at all levels across organizations of all sizes to enable “Best, Fastest Data driven Decisions” in the context of relevant Facts.