Fractal Analytics

Fractal Analytics
Type	Incorporated
Industry	Analytics, Predictive Analytics
Founded	2000
Headquarters	United States Locations: United Kingdom, Singapore, India, UAE, Canada, Italy
Products	Customer Genomics , Concordia, Cascade
Services	Customer lifecycle management analytics, Price optimization, Marketing mix management, Multi-channel attribution, Risk analytics, Supply chain analytics
Revenue	Confidential
Number of employees	about 700
Website	Fractal Analytics

Fractal Analytics is a global provider of predictive analytics and decision sciences, helping companies: (a) Understand, predict and shape consumer behavior through advanced analytics; (b) Improve effectiveness of marketing, pricing and supply chain management; (c) Harmonize data, tell visual stories and forecast business performance. Fractal serves Consumer Packaged Goods, Financial Services, Insurance, Retail, Technology, Life Science and Telecommunication industries.

History

Fractal Analytics was co-founded by R K Reddy, Pradeep, Nirmal, Srikanth and Pranay who met at the Indian Institute of Management (IIM) Ahmedabad, India in the year 2000. Two of the co-founders R K and Pradeep left Fractal in 2007 and Nirmal left in 2009. Today it is being run by Srikanth and Pranay.

Business lines

Fractal Analytics serves Fortune 500 companies in CPG, Financial Services, Insurance, Retail, Technology, Life Sciences and Telecommunication industries.

Solutions

Fractal Analytics offerings are divided into five key solutions:

Customer Insights and Analytics, featuring Customer Genomics for personalized targeting
Pricing Analytics, featuring Pincer for insurance price optimization
Marketing Analytics for more effective marketing mix, media and promotions management
Forecasting and Business Intelligence, featuring Concordia data harmonization that creates clean, organized and consistent data as inputs into visual storytelling dashboards and predictive models
Global Analytics Partnership (support in-house centralized analytics team or real-time/right-time business intelligence), bringing an experienced team of data scientists, analysts and consultants to help in-house teams scale analytics, drive implementation and foster a data-driven decision culture.