UIM - Unified Information Management

Objective

The sole objective of Unified Information Management system is to provide a platform to transform the way enterprises manage data.

‘DATA TO ACTIONABLE BUSINESS INSIGHTS IN A COST EFFECTIVE WAY USING ALL DATA’

The unified information management system follows a multi-stage approach for the data to pass through and arrive at actionable insight.

Big Data Strategy

Data Sources Layer

The primordial first step in data strategy is to identify operational data sources to know what you have and measuring it against what you need to answer the critical questions you want help with. You may have everything already or might need to establish new sources.

Data Storage Layer

Big Data based data repository gathered from disparate sources. New sophisticated systems and tools are required to address the explosion in volume of data generated and stored by companies. Our Big Data eco-system comprises of tools such as Hive, HBase, etc covering nosql and newsql.

Data Processing and Analysis Layer

Ability to process data for actionable business insights employing tools to perform the following:

- - Aggregate and consolidate data

- - Create OLAP on big data

- - SQL Query Engine interface for Data scientists

- - Advanced Analytics using R

Data Output Layer

Insights derived through the analysis are available for people who can take action to benefit from them. Simple and Intuitive output (particularly if your decision-makers don’t have a background in statistics) is essential, and this output can take the form of reports, charts, figures and key recommendations. The key objective of the Unified Information Management's is to empower business users in as many as KPIs which can be utilized in taking action based on the analysis that the system has carried out so far.