Enterprise Data Warehouse (EDW)


Enterprise Data Warehouse (EDW) is a system used for reporting and data analysis, and is a core component of business intelligence (BI). DWs are central repositories of integrated data from one or more disparate sources. They store current and historical data in one single place and are used for creating analytical reports for knowledge workers throughout the enterprise. The data stored in the warehouse is uploaded from the operational systems through refined ETL processes.

Anantics supports various data warehousing creation and maintenance phase activities so that customers have the best analytical solution for their business requirements. Our professionals practice how a data warehouse fits into the overall strategy of a complex enterprise, how to develop data models useful for business intelligence, and how to combine data from disparate sources into a single database that comprises the core of data warehouse.

Big Data


Anantics brings expertise in Big Data solutions design and implementation, and helping our customers in delivering the values among all 3 Vs (Volume, Velocity and Variety) for data perspective. Big Data is not an IT-owned decision it’s a business-owned decision, i.e. what does an organisation need to know to be more effective in executing its strategy and business model to maintain competitive advantage in an ever-more complex and competitive business landscape.

With a rich heritage from information management and analytics, we know how to design and build planning and analytics services that make businesses more agile. We provide education and deliverables to our clients through our integrated solutions, encompasssing platform infrastructure, data integration, data access interface and visualizations. Our solutions equip senior managers where Big Data demonstrates the potential to drive competitive edge.

Big Data Analytics


Anantics brings content mining and analytics solution, which transforms complex and timeconsuming manipulation of web-scale data resources into a fast and intuitive process. Users can harvest sentiments from Twitter feeds, blogs, news reports, CRM systems, and other sources, and combine them with demographic and regional data to better understand market traction and opportunities.

Our solution provides great utilities for data experts, including:
  • Out-of-the-box structured and unstructured analytics
  • Drag-and-drop to create content workflows
  • Hadoop-enabled for big data scalability
  • Functional widgets that can be configured for individual analysis needs
  • Open-source search indexing of complex, faceted metadata

ETL Capabilities


Anantics brings deep expertise in ETL processes for data warehousing and provides following professional services:

  • Data Extraction - gathering data from multiple heterogeneous sources
  • Data Cleaning - finding and correcting the errors in data
  • Data Transformation - converting the data from legacy format to warehouse format
  • Data Loading - sorting, summarizing, consolidating, checking integrity, and building indices and partitions
  • Refreshing - updating from data sources to warehouse