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Lean business processes are important - in order to create efficiencies, processes must be streamlined. Process and information go hand in hand. Information is built off of data and is put into the context of experience to create knowledge; which in turn leads to improved decision making. Making decisions blindly (without knowledge or supporting facts) or with partial knowledge, or by gut feel, or based on myth are dangerous. For ARRA and Recovery.com to succeed, it will be critical that the right data foundation be implemented so that the evolution from data to knowledge and empowerment becomes real. Most often, this occurs as an evolution rather than a big-bang event.
However process modification streamlines the Federal government and its agencies, it will not necessarily accomplish the goal of improving Recovery.com nor provide detail around the ARRA investment the Federal government is making in the country's future. That said, there is a symbiotic relationship between process management and information management and most importantly data management. Give individuals access to the right, reliable, and accurate data when its needed in the form that its needed and processes must change. The data will always tell the truth.
Having worked at a leading data warehouse company for the past 10 years, I have seen many implementations fail because the business was unwilling to recognize the process change that was needed. They implemented a system based on their historic view of what data warehouses are meant to do as a result of a limited functionality of some data warehouses available on the market that were being used for analysis but designed as a transactional system. Similarly, I have seen many leading companies succeed when they adopted a powerful database technology and understood the value that insight would bring and did modify internal processes to support available when making a decision within minutes meant, vs typically hours or weeks later when the complete data became available.
Data is complex. Management of data is complex. Many have pointed out on this web site that variability of data formats, structures, users and usage will add to that complexity. The government, therefore, will need to implement a 9-step process:
1. Identify the project's goals and objectives; what are the success measures?
2. Identify the data that's needed to fulfill those goals and objectives; then identify goals and objectives you haven't considered yet and the data that's needed for those.
3. Identify the ability to collect the data, the type of data, the timing of the data and the sources of data; Identify the gaps in the data
4. Identify the users and uses of that data - in the short term, mid-term, and long term; what questions will be asked of the data?
5. Plan for the unexpected
6. Identify the platform for the data that's scalable, and a structure that's flexible, so that the platform can change and grow as the users and uses change and grow - with minimal investment of resource and capital
7. Identify the ways to access the data, how to display it, how to ensure data that should be secure is secure
8. Continue to monitor and grow the platform and users and uses over time
9. Annually review the success metrics of the project and adjust as necessary
As the "centerpiece of the President's commitment to transparency and accountability," Recovery.gov must be reliable, fact-based and timely. And it must be built on a solid foundation that facilitates process change and provides confidence to the public, the policymakers, and the president.
Comment from
mon351
at
Teradata Corporation
on
May 02, 2009