1. Delivering Best-Practice Analytics through Analytics Center of Excellence (ACE) Hari Khamandula, DAKE @DakeACE

2. About Dake Solutions Is a Dake Group company Head Quartered in Johannesburg, South Africa Presence in Africa, Middle East, Asia and North America Specialises in Analytics, Business Intelligence, Operational Efficiency Serving utilities industry for over 15 years

3. Workflow and Operational Efficiency 1 2 3 4a4b 5 6 Analytics Real Time Typical Workflow © DAKE

4. Whats wrong with a Big Bang Approach? Define Requirements Create Blue Print Estimate Cost Motivate Budgets Assign Resources Create Detailed Design Ensure Quality BuildBuild © DAKE

5. Why not a Technology Driven Approach? ABCDEFGH ABdK CDEX You Vendor 1 Vendor 2 © DAKE

6. Why is Traditional Warehousing not the complete answer? Read Transactional Data Analyse transactional structures Model them into dimensional structures Build ETLs to transform the operational Data Store the volumes of Data Tune for performance Identify data patterns Run analytical calculations Present predictions © DAKE

7. Why cant the IT department alone service it? Request Service Report Typical IT Department Not Enough © DAKE

8. ACE - Analytics Center of Excellence driven by the Common Sense Business Approach Focused Team Structured Governance Defined Processes Apt Technologies © DAKE

9. Functional Overview Scalable Infrastructure Robust Framework Data Scientists Models Operational Systems © DAKE

10. Team Structure © DAKE

11. Architecture Overview DATA HUB (CIM Compliant) Operational Reporting Engine (ORE) Workflow Orchestration Engine (WOE) Data Warehouse Warehouse Administration Console (WAC) Meta Data Repository (MDR) Business Intelligence Engine (BIE) © DAKE

12. Case Study 1 Workflow Automation

13. The Challenge Papers driven Process Low transparency Over 20,000 users across the nation Regulatory targets

14. Approach National survey Analyse data Propose process changes Automate workflow Define performance indicators Accumulate data Manage Change Establish Analytics stream Define processes for continuous improvement © DAKE

15. Efficient Workflow Setup © DAKE

16. Case Study 2 Substation Automation

17. The Challenge Isolated device level substation data OT structures different to the IT structures Large volumes of real-time data Lack of communication within the grid

18. Common Substation Setup DeviceDevice DeviceDevice DeviceDevice Monitoring Devices Data Collector Device Level Monitoring and Control © DAKE

19. Data Server Setup DeviceDevice DeviceDevice DeviceDevice Monitoring Devices Data Collector Device Level Monitoring and Control InterfaceInterface Data Server All Substation Level Data All Substation Level Reporting © DAKE

20. The potential DAKE Substation Information Services Services Selective Object Level Data Rules Configuration Object Communication Setup (Rules Configuration) ALERTALERT © DAKE

21. Extending the potential… DAKE Substation Information Services (SDK) DAKE Substation Information Services (SDK) Rules Configuration ALERTALERTALERTALERT ALERTALERTALERTALERT INFOINFOINFOINFO INFOINFOINFOINFO © DAKE

22. Extending it further! ALERTALERTALERTALERT ALERTALERTALERTALERT ALERTALERTALERTALERT ALERTALERTALERTALERT Situational Awareness Centre INFOINFOINFOINFO INFOINFOINFOINFO INFOINFOINFOINFO INFOINFOINFOINFO © DAKE

23. Case Study 3 Situational Awareness Center

24. Visualization © DAKE

25. Use Case 1 WeatherAlert DAKE ACE Platform Modelled Analytical Data Equipment Impact Maintenance Impact Customer Impact GIS Visualisation © DAKE

26. Use Case 2 CoalSupply DAKE ACE Platform Modelled Analytical Data Customer Impact GIS Visualisation Generation Info Industrial Impact Revenue Impact © DAKE

27. Use Case 3 EquipmentFailures DAKE ACE Platform Modelled Analytical Data Interruption Impact GIS Visualisation OperationalMaintenance © DAKE

28. Thank you Questions? Visit: http://ace.dake.co.za