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The 3rd Wave of Analytics for Finance

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Presented by Agilos at the Accounting & Finance Digital Summit on February 22nd, 2019.

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The 3rd Wave of Analytics for Finance

  1. 1. The 3rd Wave of Analytics for Finance 22 February 2019 Edwin Willems Marketing Director – Agilos Director Managed Services Edwin.Willems@agilos.com
  2. 2. 2 The world before Data Analytics…
  3. 3. 3 And you only wanted this page here 30 years ago – Finance Reporting was like this…
  4. 4. 4 Static Report Spreadsheet Reporting And was revolutionised by Spreadsheets… Good old Lotus 123 !
  5. 5. 5 The 1st Wave of Data Analytics
  6. 6. 6 20 Years ago, Data Analytics looked like this … Simple Dashboards You needed… - An OLAP Cube expert - A SQL expert - Lots of training - Lots of patience !
  7. 7. 7 Today – we have moved on … Modern dashboards are Fast, Easy to build, Easy to use From Financial Planning & Analysis… to Expense Management… and Cash-Flow & Balance Sheet Analysis
  8. 8. 8 So the 1st Wave of Data Analytics was all about… Dashboards Internal looking analysis focused on the past and present
  9. 9. 9 The 2nd Wave of Data Analytics
  10. 10. 11
  11. 11. 12
  12. 12. 13 Today – we want to answer (next) questions with data, quickly and easily
  13. 13. 14 Defining data literacy The ability to read, work with, analyze and argue with data
  14. 14. 15 We’re in a state of illiteracy of business decision makers 24% Source: Qlik Data Literacy Surveys, August 2017 - February 2018 of C-level executives 32% of 16-24 year-olds 21% WHO IS DATA LITERATE?
  15. 15. 16 Individual Assessment • Short, 10-question online assessment • Find out your data persona • Get prescriptive training roadmap • FREE at qlik.com/getdataliterate Online survey to assess your skills
  16. 16. 17 So, the 2nd Wave of Data Analytics is about “Self Service” data analysis that is easy to do and easy to use
  17. 17. 18 The 3rd Wave of Data Analytics
  18. 18. 19
  19. 19. 22 DATA
  20. 20. 24 Data • Analytics in the cloud will be the norm • Hybrid • Big Data is just data • Challenge is not size, but combining it with other data • Single view of data • = one view, ≠ one place
  21. 21. 25 POINT OF DECISION
  22. 22. 27 Analytics delivered to the point of decision • On your desktop, tablet, smartphone • to your employees, customers, partners • Embedded everywhere • in your processes & applications • in your websites (intranet, extranet)
  23. 23. 28 AUGMENTED INTELLIGENCE CONVERSATIONAL ANALYTICS AI
  24. 24. 31 AI – will make Analytics more human, not less • Cognitive engine • Augmented intelligence from machine learning • to generate insights on the fly • so people can focus on actions and outcomes • Help the user to become more data literate • Chat bot technology to interact with analytics • Find insights and transform them in natural language
  25. 25. 32 Short demo
  26. 26. 33 Incorporated in July 2009 • Mix of Business and IT skills • 500+ Customers, amongst them 8 of the 10 largest Qlik customers in BeLux • 65,000+ hours design/development experience ü Organization • 35 employees • 15 Business Consultants • 10 Certified Qlik developers ü Qlik Elite Partner ü EMEA Solution provider of the year OUR MISSION To help businesses to become more competitive and agile through a smarter and better use of their data.
  27. 27. 34 Customer Agilos On premise IT BI developers Business users Agilos Qlik Managed Service BI developers Business users
  28. 28. 35 Where are you? www.linkedin.com/company/agilos Edwin Willems edwin.willems@agilos.com info@agilos.com www.agilos.com

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