Data Warehousing

What is Data Warehouse?

The term data warehouse was coined by William H. Inmon, who is known as the Father of Data Warehousing. Inmon described a data warehouse as being a subject-oriented, integrated, time-variant and nonvolatile collection of data that supports management's decision-making process.

A data warehouse is constructed by integrating data from multiple heterogeneous sources that support analytical reporting, structured and/or ad hoc queries, and decision making.

How can we help?

We are Data & Analytics Company who understands data & issues surrounding the sourcing and publishing of the data. While working on numerous projects across multiple banks & Institutes, we have developed Thought Leadership, Frameworks and Accelerators which can be leveraged to reduce the TCO and Time to Market new Products.

We help our clients to build a reconciled, traceable and well understood data store & an analytical engine.


  • Strategy, Architecture, Process Mapping, Process Reengineering, Product selection, Centre of Excellence, Utility Creation and Outsourcing.

Data Model & Metadata Management

  • Conceptual, Logical and Physical Data Modelling
  • Reference Data Modelling

Data Management & Governance

  • ETL ( Informatica, Hadoop, Ab-Initio) & Data Integration
  • Data Quality & Master Data Management
  • Governance/Audit Frameworks

Reconciliations & Control Framework

  • Exception Management Framework
  • Technical and Operational Reconciliation ( ETL, IntelliMatch, TLM)

Implementation and Customization

  • Implementation & design of Enterprise Data Warehousing solution on both Teradata and Big Data platforms
  • Design and implementation of functional or divisional data marts
  • E2e Solution design & Data Architecture

Our Development Methodology