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Transforming to a Data-Driven Operations Model

Transforming to a Data-Driven Operations Model. Denise Asplund. Director, Operations. October 16, 2014. Introduction/Context Goal, Part I Goal, Part II Build, Buy, Partner Creating a Data Culture Visualization—as Critical as the Data I tself Phase II, Data Strategy

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Transforming to a Data-Driven Operations Model

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  1. Transforming to a Data-Driven Operations Model Denise Asplund Director, Operations October 16, 2014

  2. Introduction/Context Goal, Part I Goal, Part II Build, Buy, Partner Creating a Data Culture Visualization—as Critical as the Data Itself Phase II, Data Strategy Where the Data Led Us What Data Doesn’t Solve Agenda

  3. Introduction/Context

  4. Goal, Part I Innovation Efficiency

  5. Goal, Part II

  6. Build Buy Partner

  7. Creating a Data Culture Every dollar of GDS OPEX is an indirect line item in a BG/TG P/L To ensure accurate and equitable indirect expenses, all time in GDS is accounted for in Clarity 78% of GDS are direct allocations to the BGs & TGs $ $ $ $ $ Finance provides final OPEX $ $ $ $ 22% of GDS are calculated allocations to the BGs & TGs GDS runs $ against code $ $ Which has allowed us to negotiate appropriate services We have defined and quantified the units of work and the number of deliveries for each BG/TG We now know the GDS allocation to each BG/TG by function Which in turn allows us to achieve our vision of leading through the delivery of innovative services and technologies

  8. Visualization

  9. Phase II, Data Strategy

  10. Where the Data Led Us Quality

  11. An Operating Model isn’t a funding model Data can’t fix centralization created without broad-based consensus A data-driven operating model only highlights inconsistent processes Operational hygiene must be rigorously maintained What Data Doesn’t Solve

  12. Questions?

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