bi & integration

Data Integration for Business Intelligence

In this technology-driven world, the data comes from multiple sources. The influx of data can seem overwhelming, if not properly utilized. The only way to extract real insights from these raw inputs is through integration.
Properly integrated data has a deep impact on all business processes, such as sales, vendor acquisition, business intelligence, etc. Implementing this level of integration enables businesses to make continuous improvements to their products and services.

Business intelligence

Business intelligence (BI) is one of the most significant data integration use cases. An effective BI process incorporates everything starting from predictive analytics to reporting and operations management. But this sort of comprehensive analytics framework requires integrated enterprise data to identify process inefficiencies, missed opportunities, and other improvement areas.

The Growing Need for Business Intelligence in Retail:

In the retail industry, the right data at the right time can help you make more informed, data-driven decisions. Since retail businesses manage an enormous amount of data i.e. from supplier data to customer buying behavior, employee information to inventory details – every interaction and data point offers an opportunity to make your retail business more 

efficient and successful. In the retail industry, the right data at the right time can help you make more informed, data-driven decisions.

BI data integration approach

A globally distributed workforce requires 24/7 real-time access to business insights based on up-to-date data.
Further, many organizations are facing setbacks because traditional approaches to implementing ETL create a patchwork of legacy and duplicate work with bad data quality.
Our platform provides BI solutions that include AI & ML ability with real-time integration. We have developed a cloud-based advanced analytics solution that integrates ERP data with 

commodity market data and applies artificial intelligence to identify cost reduction opportunities in procurement and supply chain processes.