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Data Warehouses require enormous investments of your enterprises resources. This four-phased approach to creating a solid business plan will this major outlay for a Data Warehouse is justified.
The Data Warehouse Business Plan Template will help you establish a clear scope and direction for your data warehouse (DW) program, as well as identify potential pitfalls and risks.
The steps that are outlined in the business plan can be broadly categorized as:
This business plan will also be an invaluable tool for communicating project status and deliverables to both sponsors and end users – a necessary step for driving adoption to enable better decision making and reduced costs.
The attached Zip file includes:
Chapter 2 focuses on answering questions faced by individuals interested in using storage or database technologies to solve their Big Data problems. ... More >>
In this excerpt, Neef focuses on doing business in the Big Data world, including the scope of projects already underway, the primary drivers behind initiatives, and how Big Data is changing both the organization and c-level leadership roles. ... More >>
The chapter excerpt focuses on how effective data architecture must lay out the life cycle of data, from definition to capture, storage, management, integration, distribution, and analysis. ... More >>