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Best practices for data management system implementations

23 Apr 2009 | SearchDataManagement.com

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When it comes to data management system implementations, many things can go wrong. Too many organizations fail to design a comprehensive plan for the project and follow the plan throughout various implementation stages. As a result, many implementation projects miss deadlines, cost the organization too much money and in the end, the system may even fall short of user expectations. How can organizations set up for success with data management implementations? How can they get the right people on board for the project? Are consultants a must? How long will the project take?

Looking for answers to questions like these, SearchDataManagement.com turned to consultant and author Phil Simon, who has been involved in numerous system implementations and recently wrote a book about avoiding implementation pitfalls.

In this 17-minute podcast, listeners will learn:

  • What the most common system implementation mistakes are and how to avoid them (0:38)


  • What must happen ahead of time to prepare for a system implementation (2:10)


  • When companies should consider hiring an outside consultant to assist in the implementation process and when it is worth the investment (3:26)


  • When to consider a phased implementation strategy as opposed to a full-blown implementation (5:00)


  • The various stages of system implementation, how to approach each one and who should be involved in each stage (7:50)


  • How long a implementation will usually take and what factors can affect the length of a system implementation (12:35)

  •   Best practices for data management implementations 

       Related resources on data management implementations 

      About the ...


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    speaker
     

    Phil Simon is a seasoned independent systems consultant, a public speaker and the author of the recently released book, Why New Systems Fail. In 2002, after six years of related corporate experience, he started his company with the intent of optimizing organizations' use of different technologies.

    With his extensive knowledge of many applications, Phil has cultivated over twenty clients from a wide variety of industries including healthcare, manufacturing, retail, telecommunications, education, and the public sector. He has worked with many different organizations that use enterprise systems in many different ways. As a result, he simultaneously brings both breadth and depth to the table.

    Phil is a graduate of the Cornell University (MILR, School of Industrial and Labor Relations) and Carnegie Mellon (B.S., Policy and Management). He lives in Northern New Jersey, USA. You can email him at phil@philsimonsystems.com or reach him through his website, philsimonsystems.com.




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