Digital Analytics services fall into two categories:
Business Intelligence and Data Warehousing: This is a core traditional application of our data and analytics services, and still a critical execution challenge for many of our clients.
Predictive and Actionable Analytics: This involves the use of data, its visualization and then making the data actionable to deliver business outcomes. Increasingly, we are utilizing data internal and external to a company to deliver transformational results.
NIIT Technologies supports both the traditional and new digital data analytics needs of an enterprise. We have capabilities in the following technologies:
Cross-industry Digital Analytics Solutions
- Big Data Technologies—Hadoop Ecosystem, Mahout, Spark, and Impala
- Data Visualization Tools—Data warehousing
- Data Integration—Extract, Transform, Load (ETL)
- Industry-specific Business Analytics Solutions
- Consulting and Assessment
- Business Intelligence/Data warehousing Solution Implementation
Industry-specific Digital Analytics
Our focus on select industry verticals, including Travel and Transportation, Banking and Financial Services, Insurance, and Manufacturing and Distribution has helped us create differentiation through specialization. NIIT Technologies’ understanding of businesses has helped our clients make intelligent decisions by deploying automated, transparent, and integrated information management systems across the value chain.
Our technology expertise and business understanding ensures business transformation through actionable business intelligence.
Digital Foresight is a proprietary NIIT Technologies approach, platform, and framework, which integrates internal company data, external public data from commercial sources, social media, and advanced predictive analytics capabilities to deliver the business outcomes.
Digital Foresight provides a leadership framework for representing NIIT Technologies’ analytics point of view, with Data and Analytics as one of the five core pillars of our digital strategy to deliver Digital Operating Models (DOM).