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FINANCE I MICROSOFT
The document outlines Microsoft's strategies for digital transformation in finance, emphasizing the integration of Power BI and Azure Machine Learning to improve data analysis and operational efficiency. It highlights the challenges of decentralized finance systems, the push for standardization through initiatives like 'corefinance', and the company's commitment to using technology for better corporate performance and decision-making. Additionally, it showcases various applications of IoT and data analytics across different sectors, including healthcare and banking, demonstrating Microsoft’s efforts to drive insights and innovation.
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FINANCE I MICROSOFT
- 2. Digital Transformation in Finance George Tsichlisgeorgt@microsoft.com Lars Bo Granath larsbg@Microsoft.com Microsoft Denmark Using technology to drive corporate performance and transformation
- 4. Sources: IMF, Gartner,IDC, CSI Market, Microsoft analysis
- 9. Microsoft Finance Vision $85.3B FY16Revenue ~450K Partners 114K Employees $425B Market Cap 7/26/16 119 Subs 4 Regional Operating Centers Finance Vision
- 10. The Finance Journey@ Microsoft Convert Data to Info with Power BI Productivity and collaboration tools Insights from Azure Machine Learning MS Solutions Operational Efficiency Process simplification and automation Outsource non-strategic activities Efficient C&C “OneFinance” Single master data source Consistent Taxonomies Input controls to increase data quality “CoreFinance”
- 11. “Core Finance” initiativeunlocked our data 11 • Independent work streams in silos • Strong cultural resistance to standardization Flexibility at the Edge Finance has agility Self Service BI Discipline at the Core IT Retains Control Single Master Data Source Standard Corporate BI Consistent Taxonomies Microsoft Culture drove…. challenges in reporting/analytics.. which led to a new BI Strategy Inconsistency: Definitions, hierarchies, metrics & KPI’s 75% analyst time spent collecting & compiling data 78% reports created in “offline environments” 350+ decentralized Finance Tools and Systems ~$30M annual spend on “shadow applications”
- 12. “CoreFinance” drove efficiencyin our organization 12 Headcount flattened, while business grows in revenue and complexity 0 200 400 600 800 1.000 1.200 1.400 1.600 1.800 2.000 0 10 20 30 40 50 60 70 80 90 100 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 EMPLOYEES REVENUE($B) Microsoft Revenue and SMSG Finance Employees Finance FTEs MSFT Revenue Core Finance
- 13. Power BI: Empowersus to analyze data and create executive dashboards
- 14. Azure Machine Learning:Providing MS Finance powerful new insights and predictions Central Finance Team Treasury Sales Finance Segment Finance Consumer Product Group Microsoft Consulting Services
- 16. Apps Big Data& Analytics Comprehensive BI Streaming IoT Social Modern Data Warehouse Foundation for Digital Transformation – Modern Data Warehouse Big Data Storage CRM ERP Business Analyst BI Users IT Pro Operational Data Store + other data sources LOB Finance Web
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- 19. How can youuse technology to improve your corporate performance? Improve compliance & communications across the organization Empower faster, more reliable and secure self- service Predict and advise more accurately Discover new sources of revenue growth and innovation
- 20. Næste skridt BesøgMicrosoft Experience Center og få en interaktiv oplevelse af det nye arbejdsliv med de nyeste teknologier Deltag i en workshop, hvor du med udgangspunkt i din virksomheds data kan få bygget et dashboard, der kan give ny indsigt Mød Microsoft til en dialog om, hvordan teknologi kan bidrage til din virksomheds transformation Lad vores eksperter hjælpe dig med at bygge dine digitale strategi:
- 21. Thank you –lunch is ready!
- 23. Moving from actionto insights Reduced development time and cost by 80% by gathering and analyzing data more efficiently and increasing automation across the company. Click to learn more Building efficiency with IoT “Smart Connected Chillers” initiative collected approximately 14 million records each day to inform more efficient building equipment. Filtering the signal from the noise Used analytics to discover actionable insights around fuel usage, predictive maintenance and stop unscheduled delays. Click to learn more
- 24. Data transforms beveragebusiness Increased the actionable insight pulled from company data across all areas of the company by deploying Microsoft Azure Machine Learning. Click to learn more Connecting the unconnected Gathered data from sensors and systems to create valuable business intelligence and shift from reactive to proactive maintenance. Click to learn more
- 25. A growing bank'snew approach Leveraged company wide data to predict how likely customers are to go to other financial institution and drive better product features. Click to learn more Fast, friendly, and reliable banking Developed a complete business intelligence suite to track company data in under a week in order to drive up engagement and accounts sharehold. Click to learn more
- 26. How Glasgow isreinventing itself Developed apps to help citizens use services and business find growth opportunities using data from IoT sensors across the city. Click to see more The Internet of (Farm) Things Deployed IoT sensors in different farms to learn how to optimize use of Maryland’s 93,000 acres of the farmland and maximize production. Click to see more
- 27. Creating proactive, personalized healthcare Usingdata from blood-pressure cuffs, pulse oximeters, and other devices, staff know to respond before the patient knows something is wrong. Click to see more Transforming healthcare with faster access By capturing and analyzing data recorded in medical charts, staff were able to improve treatments techniques by tracking return visits. Click to see more Building a connected hospital Reduce medication delivery times and inventory costs by connecting dispensary devices with electronic medical records. Click to see more