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Data Warehouse: Reporting Limitations & Primary Benefits

Data Warehousing: The Compelling Business Case
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Outlining the data and reporting limitations as well as the primary benefits of a Data Warehouse and reporting project.

The Data & Reporting Limitations

The next step is to identify the current data and reporting limitations that exist in the organization.  The examples below show compelling reasons why it is cumbersome to obtain the necessary information.

  • Data is hosted on various systems which make silos of information.  It is time consuming to get the data and compile it. Some of the data comes in forms of Excel spreadsheets or PowerPoint presentations. There is no easy way to get access to the data and it requires intensive manual processing to gather the data and create reports. There is no ability to perform custom analysis or drill down capabilities.
  • Central place to view the data required for reporting and analysis.
  • No automated ways to get reports, no dashboards are available.
  • Reports are all Excel based, spreadsheets silo and skew the information.
  • No ability to do a quick analysis or “what if” modeling.
  • Insufficient data on:

o   Content performance is unavailable

o   International content scheduling.

o   Assets at different levels, file usage.

The Primary Benefits of the Data Warehouse and Reporting Project

The benefits of a Data Warehouse are to provide information quality, transparency, consistency, and accuracy.  By taking unstructured data and transforming it into integration and synthesis of relevant information, you have now provided a compelling business case for building a Data Warehouse.

  • Empowerment to business users, providing tools for custom reporting and data extraction
  • Better decisions due to better access to information.
  • Improved security and tighter control of the data.
  • Reduction in administrative overhead through the simplification of processes.
  • Allowing resources to focus on analysis rather than transactional issues.
  • Timely access to business decision information.
  • Elimination of a significant amount of manually created Excel spreadsheets.
  • Provide the ability to support critical business intelligence initiatives.
  • Learn usage, perform trending using accurate data.
  • Ability to perform quick analysis of data.
  • Reduction in manual reconciliations.
  • Establish a “single source of the truth” for data that users can access easily.
  • All reporting manual processes will be moved to the Data Warehouse.

This article is intended to provide thought provoking ideas for developing a business case for building an analytical engine.

Implementation of a comprehensive repository / Data Warehouse will enable changes in the business measurements, changes in business processes, and initiate changes to operational systems to supply new data to the Data Warehouse.  Without a compelling business case, it will be impossible to achieve executive level approval.

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