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Very few organizations, large or small, have a well-defined data strategy.
In most organizations, the value of data is not well understood. Data is considered the province of the department that creates it and this data is often jealously guarded by that department.
Data is usually addressed on a piecemeal basis. Rarely do organizations work from the big picture and as a result suboptimize solutions, introduce programs which may have an deleterious effect on the overall enterprise, and cause inconsistencies that result in major efforts for interfacing or develop systems that can not be easily integrated
Not having a data strategy is analogous to a company allowing each department and each person within each department to develop their own chart of accounts. The chaos without a data strategy is not as obvious, but
the indicators abound: dirty data, redundant data, inconsistent data, and users who are becoming increasingly dissatisfied with the performance of IT.
Without a data strategy, the people within the organization have no guidelines for making the decisions that are absolutely crucial to the success of the IT organization.
A data strategy should result in the development of systems with less risk and a higher success rate. It should also result in much higher quality systems. A data strategy provides a CIO with a rationale to counter arguments for immature technology, and competing data strategies which are inconsistent with existing strategies.
You Will Learn How to:
- Capitalize on your data asset
- Get control of your data
- Determine which data is important
- Provide an appropriate organization to support the data
- Sell the data strategy to your management
- Plan and implement a data strategy in your organization.
This course is geared toward individuals who are:
- Data stewards
- Data owners
- DBA managers
- Application developers
- CTOs
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