Business Intelligence


Decision makers require data from all directions.Huge volumesof data from wide varieties of sources, is being collected and analyzed. Technology using fordata visualization should enable them to see analytical results presented using charts and graphs and all key indicators displayedwill help to takedecisions whenever required.

Data Visualization paradigms includes

  • Integrating with portal
  • Dashboards, Scorecards, What-if analysis
  • Analytical reporting, Real time reporting
  • Self-service reporting
  • Mobile BI Compatibility of visualizing data
  • Big data compliance
  • Enable integration with various platform providers


Dashboard & Apps

  • Powerful environment to build interactive and visually appealing analytics
  • Rich set of controls: buttons, list boxes, drop-down, crosstabs, charts…
  • Use custom code to extend and build workflows

Design Studio

  • Premium Alternative to BEx Web App Designer
  • Design studio for power users to create purpose-built OLAP analysis & planning apps
  • Mobile support
  • Customer- and SAP-delivered content
  • Supporting SAP BW & SAP HANA sources
  • BO Dashboards (aka Xcelsius)
  • QlikView
  • Tableau



Information super high way flooded with data from heterogeneous sources, which helps to maximize the revenue, optimize the process cost, and enhance overall quality. It helps business to share, store and secure information. The way organization manage their data mainly depends on below given services.

  • Data Cleansing & ETL
  • Data Quality
  • Data Modeling
  • Data Integration
  • Data Migration
  • Data Maintenance & Meta Data Management


Enterprise rely on data analytics and Management Information Systems to drive better decision-making systems and improve business performance. Data is considered as confidential and important asset of any organization. To tap the power of this asset, we need to have proper/right choice of processes and technologies to collect, process, integrate, analyze and visualize the data to drive business goals.

  • Patterns recognition to predict in historical data-Data Mining
  • Sentimental analytics, Competitive intelligence and Unstructured data analysis
  • Forecasting the demand
  • Prescribes Optimization methods for generating maximum value addition
  • Business Process Simulations – provides a dynamic view of the business's future by leveraging statistical and business process simulations
  • Predictive maintenance

The Core Competency includes:-

  • Quickly build formatted reports on any data source
  • Secure distribution of reports both internally and externally
  • Minimize IT support costs by empowering end usersto easily create and modify their own reports
  • Enhance custom applications with embedded reports
  • Business Reporting Tools: SAP Business Objects, QlikTech, OBIEE, IBM Cognos, MS BI, Tableau etc.

Self-service, Predictive analysis

Lumira / Predictive Analysis, QlikSense,Tableau

  • Discover trends, outliers and areas of interest in your business
  • Adapt to business scenarios by combining, manipulating, and enriching data
  • Tell your story with self-service visualizations and analytics
  • Forecast and predict future outcomes

Analysis, Edition for OLAP

  • Dedicated Ad-Hoc OLAP client for business users to analyze OLAP data and share it with others
  • Seamless interoperability between designer and ad-hoc client
  • Supporting SAP BW & SAP HANA sources + 3rd party OLAP

Analysis, Edition for Microsoft Office

  • IT / Developers, Data Analysts, Business Users
  • Excel-based OLAP analysis
  • Excel-based BI applications
  • Live PowerPoint presentations
  • Supporting SAP BW & SAP HANA sources