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BUSINESS INTELLIGENCE
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UST Global’s Business Intelligence services enable decision makers to derive sustainable value from their critical business data-by converting them into actionable information.
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Data Management |
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| Stages that Comprise the Critical Path |
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| 1. Foundation |
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Develop technical and organizational foundations through:
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In-depth analysis of 'as is' status and 'to be' scenarios |
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System and process consolidation |
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Well defined criteria for success |
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Detailed gap analysis—what is possible today versus tomorrow |
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Definition of roles and responsibilities; such as for master data management (MDM) and business process management (BPM) |
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Development of in-house expertise for future process and technology maintenance |
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Establish firm lines of data ownership—both pre and post federation |
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| 2. Improvement |
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| Identify failure points and develop correction plans by: |
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Developing business processes and technical solutions |
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Instituting failure point resolution strategies |
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Maintain and improving failure point resolution strategies and DM policies/procedures |
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| 3. Flexibility |
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| Adapt and improve existing processes and policies by: |
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Refocusing and revisiting newly-implemented and 'to-be' implemented processes and policies (a 'lessons learned' process) |
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Preparing for follow-on stages/phases and new technologies |
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Leveraging the modularity of recently-installed processes for development of process-chains in new, perhaps unthought-of ways |
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| 4. Innovation |
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| 'Stay ahead of the curve' by: |
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Aligning external and internal innovation |
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Bringing 'lessons learned' to next stages and planning for follow-on technologies |
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Institutionalizing 'life-cycle betterment' through continuous improvement programs |
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Thought Leadership
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The four stages that comprise the critical path of data management are:
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Foundation |
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Improvement |
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Flexibility |
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Innovation |
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