David Taylor, Pimp my spreadsheet, FAST LANE BI Let’s Get Started! David Taylor, Pimp my spreadsheet, FAST LANE BI Pimp my spreadsheet, bring numbers to life with Power BI~ We’ll have a few slides and a then jump into a couple of demo’s where this actually happens. And I’ll leave you with links to all resources and content so that you can work with the same files yourself if you wish. And if you do, then you’ll also have my contact information if you need any follow-up support.

Introduction – David Taylor BEng. Dip Fin Fellow FINSIA Owner / Senior Consultant – FAST LANE BI Microsoft partner program member since 2014 MPN Competency: Power BI for data analytics Certified in FAST financial modelling for Excel Successfully consulting to industries incl. Telco, Healthcare, Financial services, Property Email: david.taylor@fastlanebi.com Twitter: @saxhigh Blog: fastlanebi.com LinkedIn: https://www.linkedin.com/in/david-taylor-bb22242 I’m a freelance consultant. May business is called FAST LANE BUSINESS INTELLIGENCE. My business has been a Microsoft partner since 2014 and has MPN competency in Power BI for data analytics My consulting work has another stream – Excel financial modelling. As a finance professional I have certification in a modelling standard called FAST. Industry specialization for me has been Telecoms, Healthcare, Financial services and Property. My day job looks like this… I engage with business decision makers as a trusted advisor about if and how these tools and techniques might be applied in their business. The help them by either doing that work, directing it or training their own analysts to do so. 2 | The 1st EVER #SQLSatLA on June 10th 2017 Microsoft Technology Center

What you’ll learn.. Excel financial modeling Power BI on top of Excel Best practice guidelines Practical use-case example spreadsheet Power BI on top of Excel Excel process steps to export to Power BI Create a results table for one scenario Create and run a Macro to re-run the model many times Collect all results into a single consolidation table Power BI Desktop steps Get data from Excel consolidation table Create a report with visualizations Publish the report and link in app.powerbi.com You will learn to combine Excel and Power BI to bring your numbers to life. Let’s look a best practice financial modelling – so if you build a spreadsheet you might choose to follow a standard to make it easier to read, modify and use in future. Next you’ll learn how to pimp it with Power BI 3 | The 1st EVER #SQLSatLA on June 10th 2017 Microsoft Technology Center

Why Pimp my spreadsheet?.... 1 2 3 Appreciate the business context – Clearly & quickly communicate with visualisations Discover insights – Graphically explore a single scenario using drill downs Make better decisions sooner – Interact using slicers to learn the commercial dynamics of multiple scenario options simultaneously Q. Give me three reasons why it may be worth Pimping a spreadsheet? \\\\\\ Interactive answers (repeated) ////// A. Power BI brings brings number to life. Pictures help to communicate (“a picture tells a thousand words” will reveal the business context in a glance) Exploration interactively reveals business insights within a single scenario. Interacting with slicers and filters helps you to learn about what really matters and where your risks may lie. Pimping can do this by putting all of the options at your fingertips to try out or compare. So one set of 3 reasons are these [slide] A picture tells a thousand words – Clearly & quickly communicate with visualisations Discover insights – Graphically explore a single scenario using drill downs Make better decisions sooner – Interact using slicers to learn the commercial dynamics of multiple scenario options simultaneously …bring numbers to life The 1st EVER #SQLSatLA

Audience? Analyst Executive When to pimp? Audience? Financial Model (one scenario at a time) Excel Storyboard (static) PowerPoint Showcase Workshop Discover (all scenarios) PowerBI Analyst Executive Q. When to pimp? A. When managers rather than analysts are the audience. When decision makers need to choose between alternatives or better understand behaiviours like risks. Eg. Need to say either Stop a business, grow a business, outsource or insource, centralise or de-centralize. Q. Spreadsheets can model one option at a time. When is a spreadsheet a financial model? When is it just a spreadsheet? A. Financial models have inputs, outputs, calculations and will mimic real world situations using numbers. For example – How much income will a parking garage make? How about a Power Plant which generates electricity and sells it onto the electricity grid? The 1st EVER #SQLSatLA

Financial Models Q. What is a financial model?... A. Not just any spreadsheet. Mimics a real world commercial situation via calculations Q. What is the FAST modelling Standard? A. Guidelines to good financial model design Supported by companies incl. Flexible: models must be easily adaptable when new information becomes available Appropriate: models must faithfully reflect key business assumptions and avoid unnecessary detail Structured: maintaining model integrity over time relies on rigorous consistency Transparent: to make models easily understandable, calculations must be simple and clear The 1st EVER #SQLSatLA

Decision – Invest? Risks? Inputs Assumptions Scenario selector Financial model Business rules Calculations Results Income Expenses The 1st EVER #SQLSatLA

Paste results into consolidation table End to end steps Inputs Assumptions Scenario selector Financial model Business rules Calculations Results Income Expenses Paste results into consolidation table Copy results table Set scenario selector Run scenario #1 Optimistic Run scenario #2 Likely Run scenario #3 Worst case Consolidation Table Optimistic Likely Worst case Income Expenses Would a financial model assist this decision maker? The 1st EVER #SQLSatLA

Script ' CollectResults Macro ' Sheets("Consolidation").Select     Range("B3").Select       Range("ResultCollection").ListObject.ListRows.Add (1)     Range("ResultCollection").ListObject.ListRows.Add (1)        Sheets("Results").Select     Range("B2").Select     Range("Results[#All]").Select     Selection.Copy     Selection.PasteSpecial Paste:=xlPasteValues, Operation:=xlNone, SkipBlanks _         :=False, Transpose:=False The 1st EVER #SQLSatLA

Guidelines for Financial Models The “F.A.S.T.” Standard Flexible: models must be easily adaptable when new information becomes available Appropriate: models must faithfully reflect key business assumptions and avoid unnecessary detail Structured: maintaining model integrity over time relies on rigorous consistency Transparent: to make models easily understandable, calculations must be simple and clear The 1st EVER #SQLSatLA

Guidelines for good modeling The 1st EVER #SQLSatLA

Hypothetical case study - BIOMASS Your client is considering the acquisition of a small biomass fuelled energy from waste (EfW) plant in Prague. Your team have been commissioned to prepare a financial model forecasting the performance of the plant. The 1st EVER #SQLSatLA

Energy from waste – 5 key sensitivities to profit Tip fee? ($/ton received on arrival) Arrival rate? (tons/hour) Treatment / storage cost? ($/ton paid monthly) Plant size? (tons/hour) Waste quality? (energy/ton) The 1st EVER #SQLSatLA

BIOMAS operating performance report https://app.powerbi.com/view?r=eyJrIjoiODEzOGU0MmMtM2VlZi00MzI2LWE0ZDktODAzZDNkZTZiM2UyIiwidCI6IjBlODFjMThmLWRiMTgtNGM0NC1hYWU0LWM4MzhkZTI5ZGEzMiIsImMiOjEwfQ%3D%3D The 1st EVER #SQLSatLA

Summary At the end of this session, you should have learned: Where and how Power BI and Excel Make better decisions more often – Interact to easily see commercial dynamics 15 | The 1st EVER #SQLSatLA on June 10th 2017 Microsoft Technology Center

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Questions? Email me at david.taylor@fastlanebi.com Or tweet me @saxhigh Thank you! 17 | The 1st EVER #SQLSatLA on June 10th 2017 Microsoft Technology Center

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