We partner with enterprises in adoption of Data-Driven digital transformation customized for them. We offer Data Science & Predictive Analytics, Data Management & Business Intelligence as a service for the clients riding on information revolution.
Data Science as a Service (DSaaS)
We blend the power of most cutting-edge Statistical Modelling, Machine Learning & Data Mining techniques with years of domain knowledge & experience to help you improve your top & bottom line of business goal with:
Supply Chain Analytics
Social Media Analytics
Data Management as a Service (DMaaS)
We help enterprises to blueprint the most relevant data strategy by designing ETL, Data Warehouses, Master Data & Big Data adoption strategy to move into next level of growth story fuelled by Data Science & BI.
Big Data Management
Master Data Management
Business Intelligence as a Service (BIaaS)
We assist to monitor all your business KPIs at your fingertips, over a single visual platform, powered by Power BI or Tableau or Qlikview. Move away from spreadsheet based offline MIS reports to real time cloud based & mobile friendly paginated reports 24x7
Cloud & Mobility
MAINTAINING PROFITABILITY OF THE EXISTING ENTERPRISE CLIENTS
CHALLENGE OF INVENTORY MANAGEMENT ACROSS DISTRIBUTION CENTERS
DETECTION OF REDUNDANT PROMOTION
One of the large manufacturers in Central Europe faces the problem of maintaining profitability of its existing enterprise clients and the challenge arises when defining the contracts & service level agreements with new clients that ensures both profitability & customer experience.
One of the largest healthcare & life sciences clients in South Asia were facing a challenge of Inventory Management across the distribution centres that is synchronized with Retail & Institutional market demand which leads to stock-outs & over-stocks causing revenue loss & working capital leakage.
One of the Largest Indian FMCG company were facing a challenge of with huge client base scattered across the vast expanse of the country, multiple promotional channels and marketing campaigns, exploiting the immense opportunities was proving to be a challenging task. The company was losing on the revenue.