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    Data Warehouse
    Enable Data Analytics To Drive A More Effective Data Strategy
    52%

    Of respondents identified the need for “faster analytical processing” as an important element of their data warehouse roadmap.

    76%

    Businesses are currently investing more in analytics infrastructure such as data platforms and data warehouses

    53%

    Of IT managers and executives believe that hybrid or multi-cloud data warehouses are becoming more significant

    Our Approach
    Our Approach
    Data Warehousing Services We Offer
    Data Warehouse Strategy & Consulting
    Data Warehouse Strategy & Consulting
    • Assessment of Data Sources and existing Infrastructure
    • Data Integration, Accessibility & Migration Requirements
    • Data Warehouse Workload Estimation & Costing
    • DWH Platforms & Tech-stack - On premise, Cloud or Hybrid
    Data Warehouse Development
    Data Warehouse Development
    • Conceptualizing a Data Model based on business Objectives
    • Identification & Extraction from Data Sources (E)
    • Data Cleaning and Transformation to improve quality (T)
    • Loading the data into a centralized repository (L)
    Data Warehouse Optimization
    Data Warehouse Optimization
    • Diagnostics Report of the existing DWH Setup
    • Resolving Modeling issues to improve query response time
    • Enabling best practices for Master Data Management
    • Data Cube and Marts assessment
    Data Warehouse as a Service
    Data Warehouse as a Service
    • Eliminating your burden to implement and maintain a DWH.
    • Flexible, scalable and Secure Data warehouse storage.
    • Experts Support for Data Migration and Cleaning.
    • Pay-only for what you-use.
    Data warehouse Support
    Data warehouse Support
    • Data Warehouse Administration & Governance.
    • Data Warehouse Capacity and Storage Management.
    • Prioritized DWH Support and Ticket Resolution.
    • Task monitoring & utilization of field-tested data warehouse processes.
    Data Warehouse Migration
    Data Warehouse Migration
    • Migration Services from on-premise to Cloud DWH and vice-versa.
    • Assistance and Migration assessment for best DWH Platform.
    • DWH Migration Framework to safeguard against downtime.
    • Keeping the Data and Business Logic intact.
    Client Success Stories
    Consumer Electronics Giant Streamlined Warehouse Management For Unrivalled Efficiency And Profitability
    Consumer Electronics Giant Streamlined Warehouse Management For Unrivalled Efficiency And Profitability

    Leading businesses stay relevant through incremental improvement in their processes. This century-old Consumer Electronics company had a knack for evolving with the market.

    View Case study
    Airport Concessionaire Optimizes Data Management With QlikView
    Airport Concessionaire Optimizes Data Management With QlikView

    Our client is India's Largest Airport Concessionaire. They strive to provide world-class infrastructure & facilities. To meet the customer's requirements more effectively...

    View Case study
    Global Alcoholic Beverages Firm Resolves Sales Data Challenges With Microsoft Azure And Power BI Stack
    Global Alcoholic Beverages Firm Resolves Sales Data Challenges With Microsoft Azure And Power BI Stack

    Our client is a leading beverage multi-national, famous for some iconic alcoholic labels & brands. The Indian division of the company was facing difficulties in data accumulation.

    View Case study
    Data Warehousing Technologies we work on
    FAQ

    With a good Data Warehousing Strategy, you can efficiently and effectively mine data to have a competitive advantage. With data warehouse services you can store, filter, extract and analyze large collections of data from unlimited sources.

    We conduct a detailed Discovery Workshop in the preliminary phases to assess all your data needs to give personalized optimal solutions. With our Expertise in Data Warehouse Services, we analyze your present and future needs to provide optimal solutions for your budget.

    The benefits of Data warehousing in an organization are extensive. Data warehouses are generally chosen when the sources of data are large and the data is required for analysis rather than transactional purposes. With our detailed Discovery process, we can help you choose according to your requirements.

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