Business Analytics

Business Analytics services provide a foundation for insight and analysis to help you make more insightful business decisions, take bold action, and execute quickly.

Querying and Reporting

Implementation comprising interactive dashboards, scorecards, on-demand reporting, budgeting and planning, scenario modeling and mobile solutions

Online Analytical Processing. (OLAP)

  • Easily define a multidimensional model with advanced analytic calculations
  • Productively deliver rich analytics to any reporting and analysis tool using simple SQL
  • Transparently improve summary queries against tables using cube-based materialized views
  • Combine OLAP data with any other data in your Database - including spatial, data mining, XML, documents and more
  • Leverage your existing Database expertise and software investment

Decision analytics

Our decision sciences process consists of four stages:

Assessment and evangelize - In this first phase, our experts work to understand your competitive landscape, assess business issues and drivers, and help you envision the future of the business you want to be.

Discovery and strategizing - In the second phase, our experts research IT drivers, map existing and planned projects to business issues, and prioritize short-term and long-term goals.

Architecting - In the third phase, our experts take a deep look at IT infrastructure to design the best strategies to integrate data and business processes with existing and new technologies and solutions.

Developing roadmaps - In the final phase, our experts analyze technical approaches, prioritize recommendations, and propose various solutions.

Descriptive analytics

We create a comprehensive design and implementation process that includes the following activities:
  • Offer this backward-looking approach for finding forward looking business trends
  • Focus on category descriptions and comparisons
  • Review requisites for use cases
  • Review existing hardware and recommend changes, if required
  • Detect and describe patterns
  • Design and develop a procedure for loading data from different sources
  • Design and execute a concrete system for data storage, schema and partitioning
  • Design and model a process for data integration
  • Design and execute explicit data processing jobs
  • Discrete assignment of individual data set members based on similarities and differences