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Watson Analytics Presentation
- 1. Watson Analytics Fabian Au Digital Sales Specialist, Watson Analytics fabianau@sg.ibm.com +65 96751500
- 2. Watson Analytics Everyone can be a “Citizen” Data Scientist
- 3. What is Watson Analytics Cloud based Self-Service Business Intelligence & Smart Data Discovery tool
- 4. Watson Analytics Enhance, Scale, and Accelerate human expertise. Targeting a wide range of complex challenges
- 5. Self-Service Business Intelligence Approach to data analytics that enables business users to access and work with corporate information
- 7. Watson Analytics Business user led analytics 1 change can improve everything 10’s of insightful discoveries … 100’s of new questions asked each day ? ? ? ? ? Complementary nature of Watson Analytics and Enterprise Analytics platforms Analytic platforms and database sources Advanced user and IT managed analytics
- 8. Value of self- service BI customers receive Employees can do analysis on their own IT team can focus on mission critical issues Eliminate corporate decision fatigue Reactive to proactive corporate culture Increase departmental collaboration
- 9. Great companies are….. 5.4 times more likely to use analytics over intuition 2 times more likely to say that it is a differentiator 3 times more likely to be more sophisticated analytics users
- 10. Limited understanding of how to use analytics to improve the business Lack of bandwidth due to other mission critical items Lack of analytics and technical skills within LOB Too much time is spent in data preparation and acquisition Leveraging self-service analytics still faces many obstacles
- 11. How does Watson Analytics help you?
- 18. Large FMCG Company Financial Analytics Business Case Customer wanted a more efficient method to understand how their different product line are doing as compared to competitors, how various distribution channels are doing and to monitoring their inventory levels to help gain insights into pricing and profitability of the product for better financial planning and budgeting. Benefit - Reduce time taken in data preparation and acquisition - Generated useful and more accurate insights for planning and budgeting by allowing line of business to do their own analysis. - Gain visibility of the most profitable products to enhance growth strategy. Case Study
- 19. Business Case Customer have a huge centralized data warehouse and want their employee and customers (who mainly are business users) to be able to access these data using a simple to use and intuitive platform so that it allows them to do analysis on their own. Benefit -Increase value in their existing offering to their customers. -Providing their customers with access to data in a shorter time. -Increase the productivity of their project managers Large Consulting Firm Watson Analytics as a Service Case Study
- 20. Where can Watson Analytics be used? Prioritizing Accounts Receivable Employee Retention Helpdesk Case Analysis Campaign Planning and ROI Warranty Analysis Customer Retention Finance HRITMarketing OperationsSales
- 21. Where can Watson Analytics be used? Prioritizing Accounts Receivable Employee Retention Helpdesk Case Analysis Campaign Planning and ROI Warranty Analysis Customer Retention Finance HRITMarketing OperationsSales
- 22. “How can I make sure I target the hottest leads to plan for my upcoming campaign? How can I increase the value of the customers I already have? How can I create more successful campaigns in the future?” Lisa Hay, Marketing Manager
- 23. Watson Analytics shows Lisa what good leads look like so she can understand why they are more likely to buy. She can then target leads and prospects with a higher likelihood of becoming a sale to boost revenue. She no longer has to waste time or resources pursuing leads that go nowhere. Opportunity ranking Lisa Hay
- 24. Customer Value Lisa Hay Watson Analytics reveals the attributes that drive profitability and indicates customers who meet identified profitable profiles. Lisa can provide those customers with targeted recommendations—no matter how they interact with Lisa’s company. This can lead to increased conversions and greater customer value.
- 25. Watson Analytics uses predictive analytics to show Lisa which customers respond to various campaigns. She can also see the likelihood that customers will respond. Lisa can then increase the success of her campaigns by making the right offer to the right customer at the right time through the right channel. Better marketing campaigns Lisa Hay
- 26. Watson Analytics analyzes and predicts customer behavior to shows Lisa which customers are at risk of leaving and why. She can then make targeted offers designed to convince them to stay, increasing retention and customer profitability. Customer Retention Lisa Hay
- 56. Quick start intuitive interface Key business driver insights Dashboard and storytelling authoring Natural language dialogue Easy data upload and Refinement capabilities Single Interface … Explore > Predict > Assemble
- 57. Thank You!