- Data Center
- Data Warehousing
Data in production systems are typically fragmented, inconsistent, and scattered across various incompatible hardware and software platforms. While the need for high quality, actionable information is increasing, organizations often find themselves with mountains of data and very little information. Many organizations are drowning in data but starving for information.
As systems are built, organizations often take a "one-step-at-a-time" approach. This results in information system "islands" with inconsistent and often inaccurate data - making decision support difficult, if not impossible. Data Warehousing merges these islands to create a unified data repository. In essence, data warehouses provide a consolidated, subject-oriented, and time-variant companywide view.
As systems are built, organizations often take a "one-step-at-a-time" approach. This results in information system "islands" with inconsistent and often inaccurate data - making decision support difficult, if not impossible. Data Warehousing merges these islands to create a unified data repository. In essence, data warehouses provide a consolidated, subject-oriented, and time-variant companywide view.
Why should I start a data warehouse
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Data Warehouses are one of the most promising technologies to come out of IT in the past decade. More and more businesses are realizing the tremendous advantages of starting a data warehouse. A study conducted with 62 data warehouse projects showed that the projects, on average, produced a 321% ROI, with an average pay back period of 2.73 years. So why do data warehouses show such tremendous return?
- Decision support
- Customer relationship management
- Supplier relationship management
- Improved data analytics
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