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Making the numbers talk: Achieving transparency through data visualisation

Making the numbers talk: Achieving transparency through data visualisation. 6th Annual Business Intelligence Summit. Agenda. Introductions Inventory Forecasting – the business problem The Solution – before Business Intelligence Business Intelligence – what it provided to Z

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Making the numbers talk: Achieving transparency through data visualisation

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  1. Making the numbers talk:Achieving transparency throughdata visualisation 6th Annual Business Intelligence Summit

  2. Agenda • Introductions • Inventory Forecasting – the business problem • The Solution – before Business Intelligence • Business Intelligence – what it provided to Z • Added Value – extensions to the solution • Outcomes & Benefits – some unexpected results • The Start of a Journey - ZWise

  3. Clive Trott 1994 2002 1975 2011

  4. Inventory Forecasting The Business Problem

  5. Inventory Forecasting – refined products Yesterdays Inventory Todays Inventory Cargo Receipts Production Sales Iterativecalculation

  6. Inventory Forecasting – actual Data Regular 1st November 2012 Premium Diesel Actuals AVGAS JET 31st December 2012 BFO LFO Forecasts HFO 30th April 2013 Bitumen (45-55) Bitumen (180-200)

  7. The Solution Before Business Intelligence

  8. Excel and the Manual Process • Forecast data updates provided weekly (or more) • Multi tab Excel spreadsheet • Some ‘Excel smarts’ for data updates • Excel graphs built over data • Issues • People messing with formulae and data • No consistency in graphs • No ability to add value

  9. Excel WorkbookDemo

  10. Business Intelligence What it provided for Z

  11. The New Solution • Phase 1 • Automated retrieval of industry data • Automated loading of data into a new data warehouse • Provision of existing graphs • Phase 2 • Inclusion of Z specific data sources • Addition of further Inventory Forecasts • Addition of different visualisation

  12. NewInventory Forecasting SolutionDemo

  13. Added Value Extensions to the Solution

  14. More to the Stock story • Not just Refined Products • Intermediates • Crude • Predicting future voyages • Refined Products • Crude • Scenario Planning • What-if

  15. Inventory ForecastingSolution AdditionsDemo

  16. Outcomes & Benefits Some unexpected results

  17. Outcomes and Benefits • Consistent and unified view of Inventory data • Ability for all of Z to view Inventory data • Stocks team • CEO • Simplified Weekly Stocks meetings • Staff Optimisation • Cross Business Unit benefits • Treasury • ROI within 6 months

  18. The Start of a Journey ZWise

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