IIBA Membership has Benefits!

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1 IIBA Membership has Benefits! Webinars Exclusive Access to Experts, Authors and Professionals Online Library Hundreds of books Worth $ annually Online Business Analysis Competency Assessment Free self assessment of your BA skills BA Connection Newsletter Latest in Business Analysis news BABOK Guide and Competency Model Quick Tips for Better Business Analysis CBAP and CCBA Free access to Business Analysis Standards Monthly tips to make your job easier Discount Exam Fees (C) International Institute of Business Analysis 1

2 Business Intelligence and Analytics November 21, 2013

3 Vision and Mission The world's leading association for Business Analysis professionals Develop and maintain standards for the practice of business analysis and for the certification of its practitioners IIBA is an international not-for-profit professional association for business analysts. 3 I n t e r n a t i o n a l I n s t i t u t e o f B u s i n e s s A n a l y s i s

4 Tom Karasmanis IIBA Product Manager Tom Karasm anis is a Senior Consult ant w it h 25 y ears' experience in I nf orm at ion Technology, including roles as a Business Archit ect, Business/ Sy st em s Analy st, Project Leader, Technical Archit ect, and Sof t w are Engineer. He has w orked in f inancial serv ices, publishing, healt hcare, public sect or and t elecom m unicat ions. Tom serv ed as Chief Archit ect of t he I I BA f rom 2009 t o He is current ly I I BA Product M anager of Bei ng a BA: Techni cal Excel l ence and Vendor Showcase. Tom is a m anagem ent consult ant in business archit ect ure and business analy sis, assist ing organizat ions t o build or im prov e t heir BA pract ices. He speaks regularly at int ernat ional conf erences. Tom holds a Bachelor of Applied Science in Chem ical Engineering f rom t he Univ ersit y of Toront o and is act iv e in t he business analy sis and business archit ect ure com m unit ies. 4 I n t e r n a t i o n a l I n s t i t u t e o f B u s i n e s s A n a l y s i s

5 Outline Introductions and Housekeeping 12:00 Vendor Presentations 12:05 Sparkling Logistics 12:05 Sandhill Consultants 12:25 Questions and Answers 12:42 Close 12:59 5 I n t e r n a t i o n a l I n s t i t u t e o f B u s i n e s s A n a l y s i s

6 Question and Answer How to Ask Questions Use the Question box to ask questions. Selected questions w ill be answ ered at the end, but you can ask at any time. Include the vendor s name if you w ant a specific vendor to respond. Shor t, specif ic questions, please! IIBA Host Tom Karasmanis Carole-Ann Matignon Don Soulsby 6 I n t e r n a t i o n a l I n s t i t u t e o f B u s i n e s s A n a l y s i s

7 BUSINESS INTELLIGENCE (BI) AND ANALYTICS (&A) 7 I n t e r n a t i o n a l I n s t i t u t e o f B u s i n e s s A n a l y s i s

8 What is Business Intelligence (BI)? A set of theories, methodologies, processes, architectures, and technologies that transform raw data into meaningful and useful information for business purposes Large amount of information Analyze mostly internal, structured data and business processes 8 I n t e r n a t i o n a l I n s t i t u t e o f B u s i n e s s A n a l y s i s

9 What is a Data Warehouse? Often BI applications use data gathered from a Data Warehouse or a Data Mart A Data Warehouse is a copy of analytical data that facilitates decision support Not all data warehouses are used for business intelligence Not all business intelligence applications require a data warehouse 9 I n t e r n a t i o n a l I n s t i t u t e o f B u s i n e s s A n a l y s i s

10 Components of BI Data integration Data quality Data warehousing Master data management Text and content analytics 10 I n t e r n a t i o n a l I n s t i t u t e o f B u s i n e s s A n a l y s i s

11 Why BI? Apply to Measurement (metrics) Analytics (mining, analysis, modeling) Enterprise reporting (strategic, not ops) Collaboration platform (data sharing, EDI) Knowledge management Get the most value out of information Executive decision support 11 I n t e r n a t i o n a l I n s t i t u t e o f B u s i n e s s A n a l y s i s

12 BI Portals (Access) Often primary interface Characteristics Usable Content Rich Clean Current Scalability Customization Value Oriented 12 I n t e r n a t i o n a l I n s t i t u t e o f B u s i n e s s A n a l y s i s

13 BI Challenges Unstructured data (access, formats) Terminology standardization Volume of data many sources Search formats, efficiency, relevancy Approach Metadata aid for search, etc. 13 I n t e r n a t i o n a l I n s t i t u t e o f B u s i n e s s A n a l y s i s

14 Sparkling Logic SMARTS Data-driven Decision Management Carole-Ann Matignon, CEO and Co-Founder

15 Topics Introduction to Sparkling Logic and SMARTS Challenges in Operationalizing Business Intelligence and Analytics Solutions to Challenges Conclusion

16 Sparkling Logic Decision Management technology company Based in the Silicon Valley Founded in 2010 Named Cool Vendor 2012 by Gartner Mission: Deliver the Next-Generation Decision Management System that truly empowers Business Analysts

17 SMARTS Decision Management Automates operational decisions Empowers business analysts to author, experiment, improve, and manage decision logic

18 SMARTS Data-Driven Decision Management Decision Modeling Decision Performance Decision Deployment Rule Induction Data Rule Elicitation Rule Authoring

19 Decision Management Challenges Difficult to understand decision logic Organizational barriers between Data Group, IT, Business Time required to develop and deploy analytic models Using multiple tools (BRMS, Analytics Workbench, etc) makes it harder to automate decisions Hard to experiment with and measure the impact of different decision strategies

20 SMARTS solves these problems Decision logic represented as business rules Collaborative platform for all decision stakeholders Induce business rules from historical and/or pooled data and integrate into decision logic Measure business impact with KPI s and metrics Execute simulations and compare alternative decision strategies

21 Define Vision and Goals

22 Author Decision Logic

23 Elicit Business Rules from Use Cases

24 Induce Business Rules from Data

25 Measure Business Impact

26 Define and Execute Experiments

27 Create Working Prototypes Incrementally build the decision logic Review business outcomes with project stakeholders and users Refine decision strategy based on feedback Gather Feedback Measure Results Requirements Design and Implement Test and Simulate

28 Conclusion Define vision and goals Combine business rules with analytics Measure business results Compare alternative decision strategies Fast cycle of prototype, feedback, redesign Collaborate with team members and stakeholders Deploy

29 Questions? Sign up for a SMARTS trial Read our blog Subscribe to our newsletter Attend our next webinar twitter.com/ SparklingLogic linkedin.com/company/ SparklingLogic facebook.com/s parklinglogic

30 November 21, 2013 Business Intelligence and Analytics. Testing the Business Intelligence Hypothesis SANDHILL Don Soulsby Sandhill Consultants

31 Who we are: Sandhill Consultants Sandhillis a global company servicing the modeling community Data, Process and Message Modeling Educators & Architects Standards Framework Training & Services Technical Support BIReady, Data Modeling Experts Don Soulsby Corporate Enterprise Architect and Data modeler Information Management Product Manager Enterprise Architecture, Business Intelligence Consultant Industry speaker and thought leader SANDHILL

32 Business Intelligence Requirements What information would you like to have? W5 + 1 Why? When? What? Who? Where? How? PURPOSE PERIOD PRODUCT PERSON PLACE PROCESS SANDHILL

33 Dimensional Analysis Design Qua rter Month Week PERIOD Sea son Brand Group Servi ce Product PRODUCT PURPOSE The BI Hypothesis VP Director Cus tomer Type Manager Compa ny PERSON PARTY MEASURE $$$$$$ Country Provi nce City PLACE How Reported PROCESS SANDHILL

34 Business Intelligence Hypothesis HYPOTHESIS: I have a Logistics Problem So I want to see Inventory by Customer by Product by Day SANDHILL

35 Concurrent Engineering Data Modeling Tool Business More Change Business Domain Conceptual Model Enterprise Set of Standards Analysis & Design Domain Logical Data Model Data Warehouse Automation Tool Technology Domain Physical Data Model SANDHILL

36 Continuous Insight!? TIME CONFUSED? INTRIGUED? DELIGHTED! MORE? PERIOD SANDHILL

37 SANDHILL How Can We Help?

38 THANK YOU Don Soulsby Robert Lutton SANDHILL

39 Question and Answer How to Ask Questions Use the Question box to ask questions. Selected questions w ill be answ ered at the end, but you can ask at any time. Include the vendor s name if you w ant a specific vendor to respond. Shor t, specif ic questions, please! IIBA Host Tom Karasmanis Carole-Ann Matignon Don Soulsby 39 I n t e r n a t i o n a l I n s t i t u t e o f B u s i n e s s A n a l y s i s

40 Contact Information Register for more webinars on the Learning and Development page of our website under Webinars. Carole-Ann Matignon Sparkling Logic Don Soulsby Sandhill Consultants International Institute of Business Analysis 40