Web Data Services A Complete Guide - 2020 Edition. Gerardus Blokdyk

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      99. How did the Web data services manager receive input to the development of a Web data services improvement plan and the estimated completion dates/times of each activity?

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      100. What is the scope of the Web data services effort?

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      101. Has the Web data services work been fairly and/or equitably divided and delegated among team members who are qualified and capable to perform the work? Has everyone contributed?

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      102. What would be the goal or target for a Web data services’s improvement team?

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      103. Do the problem and goal statements meet the SMART criteria (specific, measurable, attainable, relevant, and time-bound)?

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      104. Have the customer needs been translated into specific, measurable requirements? How?

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      105. Has your scope been defined?

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      106. What defines best in class?

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      107. Who defines (or who defined) the rules and roles?

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      108. What scope to assess?

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      109. Are there any constraints known that bear on the ability to perform Web data services work? How is the team addressing them?

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      110. The political context: who holds power?

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      111. Is there any additional Web data services definition of success?

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      112. How do you build the right business case?

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      113. What customer feedback methods were used to solicit their input?

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      114. Is Web data services currently on schedule according to the plan?

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      115. Why are you doing Web data services and what is the scope?

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      116. What was the context?

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      117. Has anyone else (internal or external to the group) attempted to solve this problem or a similar one before? If so, what knowledge can be leveraged from these previous efforts?

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      118. What are the Web data services use cases?

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      119. 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

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