BI+A Conference 2018
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Raquel Seville, a CEO and expert in BI implementation, shares strategies to improve ROI and user adoption, emphasizing the importance of user confidence and agile data governance. Key lessons include involving subject matter experts for insights, focusing on business-led requirements, and addressing data complexity for different user groups. She advocates for iterative approaches to AI and predictive analytics while maintaining a strong emphasis on data governance over technology.
BI+A Conference 2018
- 1. Raquel Seville CEO - Caribbean, BI Brainz How to improve ROI & User Adoption for your BI Implementation
- 2. How to improve ROI & User Adoption for your BI Implementation Raquel Seville BI+Analytics 2018 | Huntington Beach, California
- 3. About Raquel ➔ Big Data Nerd: I have been working with massive volumes of structured and unstructured data for over a decade ➔ Analytics Wrangler: I am keen on BI user adoption and having the right tools, talent and processes to ensure maximum ROI ➔ Blogger: I blog all things data at www.exportBI.com ➔ Author: SAP OpenUI5 for Mobile BI and Analytics ➔ SAP Mentor ➔ Foodie, Travel Addict @QuelzSeville
- 4. BI user adoption strategies Improving user engagement Lessons Learnt Questions Key Points to Take Home What I’ll Cover
- 5. Marketing promotions, sales leads and customer engagement campaigns outsourced 10+ days turnaround time for internal project or product business cases Lack of confidence in BI and end users resort to building their own BI environment Introduction & Overview The Customer
- 6. Business case turnaround reduced to 48 hours Savings upwards of 500k by not outsourcing BI silos removed and DWH now single source of truth Introduction & Overview
- 8. Pulling all data into the DWH assuming that users will use proved false Focus on a data governance strategy that is agile and continuously improving “Build it and they will not come”
- 9. Users did not have confidence in data Host workshops, conferences, create newsletters and get feedback to improve Focus on user buy-in
- 10. Subject Matter Experts (SMEs) were not involved initially SMEs and domain users helped to guide data analysis and exploration, their feedback and input was critical to success Rely heavily on Subject Matter Experts (SMEs)
- 11. IT decided on data and reports for DWH Made the switch to business led requirements and visual storytelling Ask the business for input
- 12. Focus was having all the latest tools Some tools do not fit all use cases. Moved to using Tableau for Data viz and exploration, BOBJ for operational reporting. Develop a use case for new tools
- 13. Self-service BI was not utilized - too complex Classified user groups (Power Users, Analysts, Operational) and aligned self-service complexity to user groups alongside training Self-service is valuable when users are educated
- 14. Some BI staff members were talent and culture misfits Trained and promoted internal talent with existing knowledge of the business and its operations Hire and promote the right people from Day 1
- 15. Some vendors did not deliver on expectations and fit company culture Renegotiated some contracts and insourced some projects Outsource with caution
- 16. Predictive and artificial intelligence projects dragged on for months and years with no deliverables Changed focus to small tangible wins using AI. Find a specific problem and build a hypothesis to test, narrow and discard weak leads. Do bite sized integration of AI and predictive analytics
- 17. Cloud DWH conflicted with industry regulations Structured regulated data moved to on-premise location, while unstructured unregulated data stored in cloud Find the true alignment for cloud vs. on-premise
- 18. Data lakes are now swamps. Focus on data governance instead. Business should drive data focus, not IT. Champion and educate users - be your own CMO! Approach AI iteratively by finding a specific problem, develop a hypothesis and test. Repeat. Key Points to Take Home
- 19. Connect with me E: raquel.seville@bibrainz.com M: +1 876 438 4392 Li: linkedin.com/in/raquelseville/ @quelzseville