Web Data Services A Complete Guide - 2020 Edition. Gerardus Blokdyk. Читать онлайн. Newlib. NEWLIB.NET

Автор: Gerardus Blokdyk
Издательство: Ingram
Серия:
Жанр произведения: Зарубежная деловая литература
Год издания: 0
isbn: 9781867458845
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Are customer(s) identified and segmented according to their different needs and requirements?

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      120. What is in scope?

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      121. What Web data services services do you require?

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      122. What is a worst-case scenario for losses?

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      123. How do you keep key subject matter experts in the loop?

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      124. What is the worst case scenario?

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      125. Have specific policy objectives been defined?

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      126. How do you gather the stories?

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      127. How do you manage changes in Web data services requirements?

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      128. What are the core elements of the Web data services business case?

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      129. Is there a clear Web data services case definition?

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      130. Who is gathering information?

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      131. Have all of the relationships been defined properly?

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      132. Is special Web data services user knowledge required?

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      133. What intelligence can you gather?

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      134. What are the requirements for audit information?

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      135. Has a high-level ‘as is’ process map been completed, verified and validated?

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      136. Are approval levels defined for contracts and supplements to contracts?

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      137. How are consistent Web data services definitions important?

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      Add up total points for this section: _____ = Total points for this section

      Divided by: ______ (number of statements answered) = ______ Average score for this section

      Transfer your score to the Web data services Index at the beginning of the Self-Assessment.

      CRITERION #3: MEASURE:

      INTENT: Gather the correct data. Measure the current performance and evolution of the situation.

      In my belief, the answer to this question is clearly defined:

      5 Strongly Agree

      4 Agree

      3 Neutral

      2 Disagree

      1 Strongly Disagree

      1. How are measurements made?

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      2. Why do the measurements/indicators matter?

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      3. What is your Web data services quality cost segregation study?

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      4. What are your primary costs, revenues, assets?

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      5. When a disaster occurs, who gets priority?

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      6. What harm might be caused?

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      7. Which Web data services impacts are significant?

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      8. What are the operational costs after Web data services deployment?

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      9. Does the Web data services task fit the client’s priorities?

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      10. What does your operating model cost?

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      11. Are you aware of what could cause a problem?

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      12. Is the cost worth the Web data services effort ?

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      13. What is the root cause(s) of the problem?

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      14. Who should receive measurement reports?

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      15. What users will be impacted?

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      16. What drives O&M cost?

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      17. Do the benefits outweigh the costs?

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      18. Was a business case (cost/benefit) developed?

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      19. Will Web data services have an impact on current business continuity, disaster recovery processes and/or infrastructure?

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      20. What is your decision requirements diagram?

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      21. How do you verify if Web data services is built right?

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      22. What are the costs and benefits?

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      23. How frequently do you verify your Web data services strategy?

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      24. The approach of traditional Web data services works for detail complexity but is focused on a systematic approach rather than an understanding of the nature of systems themselves, what approach will permit your organization to deal with the kind of unpredictable emergent behaviors that dynamic complexity can introduce?

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      25. What are hidden Web data services quality costs?

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      26. Do you effectively measure and reward individual and team performance?

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      27. What are the costs of reform?

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      28. What are the strategic priorities for this year?

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      29. How do you measure variability?

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      30. What is the total cost related to deploying Web data services, including any consulting or professional services?

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      31. Do you have a flow diagram of what happens?

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      32. Did you tackle the cause or the symptom?

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      33. What methods are feasible and acceptable to estimate the impact of reforms?

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      34. Why a Web data services focus?

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      35. What causes extra work or rework?

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