DataDimensions – a disruptive technology framework that address all four quadrants of data management landscape –
Acquire virtually anything IoT Data, Unstructured PDFs, Web Data, News, Structured Data
- Data Aggregation & Transformation
- Power of traditional ETLs and newAge ELT's
- Big Data Driven Storage Layer
- Inbuilt BI layer to generate insights
- Integration with leading BI players like Tableau, Spotfire, Qlik View etc.
Statistical & Deep/Machine Learning Driven Insights

Customers can choose either composite offering of DataDimensions to reduce cost of implementing four standalone pieces to address their data management landscape or individual components to address any one of the needs.

Layered architecture of DataDimensions helps in satisfying customer requirements as per their needs rather than forcing entire suite on them.

Focus on Integration : DataDimensions will enhance and augment your current systems with no need to replace what you already use.

Artificial Intelligence and Big Data Analytics
Business User Driven Data Aggregation

Data acquired from different sources is aggregated/grouped under a single category. This functionality enables similar kind of data to be viewed under a common category.

This aggregated data is stored under a single structure in hadoop cluster. Data storage structure is defined on-the-fly, depending on category and sub category defined through administrative masters. No manual/predefined data structure creation is required.

Also it enables disruption free simplified integration with internal data assets of organization.

DataDimensions’s dynamic workflows coupled with AI and machine learning establish a centralized ecosystem for managing distributed complex datasets to bootstrap real time analytics and reporting.

Business User Driven Personalized Transformations

DataDimensions enables user to personalize structured data, along with the capability to Interact and collaborate with heterogeneous data, with the help of simplified and easily adoptable transformation engine in the framework.

  • Real time personalized data transformation
  • Customized data sets for personal, restricted and public utilization
  • Define once and utilize again
  • Interoperability with all data sources
  • Moving from ETL to personalized ELT
  • Multiple transformations on single source of truth
  • Utilization of same raw organizational data assets/information
    from multi-business units perspective
Enabling Actionable Intelligence

The framework supports predictive models to help your team make better and faster data-driven decisions. Leveraging the DataDimensions framework, your company will make better and faster data-driven decisions, react to real time events, identify trends and opportunities as they occur, quantify and evaluate risk, and ultimately improve profitability.

Monetize Data by combining power of your enterprise data & external data
Empowering Deeper, More Insightful Analytics

Make better and faster data-driven decisions
React to real time events, identify trends and opportunities as they occur

Quantify and evaluate risk, and ultimately improve profitability

Addresses today’s challenges of reporting and advance analytics requirements:

  • Low user acceptance and dependency on technology team
  • Multiple versions of truth
  • Offline reporting