Requirements for Business Analytics
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- Nigel Allen
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1 Forward Thinking for Tomorrow's Projects Requirements for Business Analytics Sponsored by: Joy Beatty Vice President of SeiLabs
2 Sponsor: DigiBytes.com "Tech Solutions One byte at a time! Webinars White Papers Case Studies E-Books DigiBytes.com is the digital library of solutions for business and technology professionals consisting of on-demand resources such as webinars, white papers, case studies, and more. 2
3 Joy Beatty, CBAP Vice President of Research and Development Seilevel Role: Develop new elicitation and modeling methodologies, build business analysis centers of excellence, train industry BAs, work on projects as a Business Architect Community contributions: Member of the IIBA BABOK v3 Core Team Industry PC for IEEE Requirements Engineering Co-chair for Requirements Engineering Education and Training Workshop Previous IIBA Austin Chapter VP of Education IREB team member Co-Author: Visual Models for Software Requirements with Anthony Chen Software Requirements, 3 rd Ed. with Karl Wiegers 3
4 Agenda Big data and analytics overview Analytics requirements approach What can I do immediately? 4
5 Big data and Analytics have taken over It s right, I run Right again, I just published one of these Never bought them on this site, but I eat them all the time I am one of these Yes, I need that Most of what we do is about visualization 5
6 Ages ago the Internet was a game-changer Looked up people in a phone book Were connected to a wall when calling Rented a movie cassette Folded the map Used library cards Mailed memos Bought CDs 6
7 The Internet led us to Big Data Internet Big Data Analytics 7
8 Companies are revolutionizing operations Big Data and Big Data and Analytics are Analytics are today s game today s game changers changers 8
9 Analytics is coming to a project near you! Over 90% 90% of of F500 F500 organizations are are using using business analytics analytics 9
10 Poll question? Are you and your company working on analytics projects? 1. Absolutely, we have lots of analytics projects 2. We are, and I get to work on them 3. Yes, but I m not working on them myself 4. I m not really sure 5. No we re not 10 Sponsored By
11 BA s need new skills for these projects Understand big data and analytics Elicit analytics requirements Guide organizations to innovative analytics 11
12 The data scientist role BAs still get to lean on these experts! 12
13 What are business analytics projects? Analysis Decisions Action 1 Action 2 Action 3 Action 4 Business analytics projects lead to better and faster decision-making 1 13
14 More descriptive More predictive The analytics spectrum Optimizations from predictions What-if scenarios Forecast models Statistical analysis Criteria-triggered alerts Ad hoc reports Standard reports 14
15 Big Data Defined Volume Variety Velocity
16 Data is boring, but executive interest increasing Data drives decisions! 16
17 Intelligence sums up big data possibilities 17
18 Play the part of a car salesperson AAA-AUTO SALES 18
19 Match the car buyer to the car Eco-Friendly Hybrid Mini-Van Motorcycle Truck Sports Car 19
20 But what about Jack? Sports Car Truck Motorcycle Mini-Van Eco-Friendly Hybrid 20
21 What if you had data from facebook? Jack Jack Rockefeller My 45 th birthday! Patty Rockefeller posted a new photo. Rockefeller Construction Ferrari Fast 2 Furious I Dream in Audi Healthy. fresh. Good for you % organic, local groceries straight from the farm to you. You and 121,568 other people like this. Briar Rose Awww. love his soccer photos! He looks just like his daddy. 304 Jane Jetson When is their next game? 21 Sponsored By
22 And linked in data? Or text data? Does Tesla finally have competition? Audi debuts it s first eco-friendly sportster. Jack Rockefeller Founder & CEO Rockefeller Construction Construction Rockefeller Construction ABR, DPR Construction, Caterpillar 500+ linkedin.com/jackrockefeller Dream Cars Austin Get the car you really want this year. Motivate your employees Does your team need inspiration? We know what to do. Show off your brand E-promos is offering 30% off t-shirt printing all week! 22 Sponsored By
23 Jack s choice AAA-AUTO SALES 23
24 Big data will continue to change our lives 24
25 Big data and analytics overview Analytics requirements approach What can I do immediately? 25
26 Analytics in Your Organization Analytics Project Checklist Big data initiative funded Analytics package purchased Package installed Done? Business Processes? Configuration rules Business Rules Data requirements Integration requirements Requirements lead to successful analytics solutions 26
27 Why are requirements for complicated? Why are requirements for analytics solutions complicated? Business process changes? Business rule changes? New customers? Transform experiences? Information usage? 27
28 Requirements process for analytics projects Prioritize work using decisions Define information usage Specify data needs Define analyses on data 28
29 Prioritize the requirements Traditional projects BUSINESS OBJECTIVES Analytics projects BUSINESS OBJECTIVES FEATURES DECISIONS REQUIREMENTS REQUIREMENTS 29
30 Identify the decisions executives want to make Interview and brainstorm with executives Decisions within processes Decisions made from reports 30
31 An example analytics project Customer walks by store scan area Scan customer s face Match customer face to profile Select video ad Display video ad Update data based on response 31
32 Example decision for our scenario Which video ad should I display when the shopper is at a specific location? 32
33 Model the decision requirements What question? Allowed answers? Data inputs? Knowledge needed? Other decisions first? Model these in a Decision Requirements Diagram 33 Sponsored By
34 Adapted from Taylor Decision Requirements Modeling for Analytics Projects, 2013 Sponsored By Decision Requirements Diagram Video ads Advertising policies Customers Which video ads? Customer comfort with personalization Customer buying history Store traffic levels Facial scan Who is the customer? Which products for ads? Products Business decision Legal policies for personal information Seasonal trends Input data Knowledge source 34
35 Decision Tree Generic male ad Male Gender? Female or unknown Generic female ad No Custom ad A Customer recognized? Yes Personal customer data exist? A No Generic ad Yes Holiday season? No Yes Customer category? C B Custom ad B Custom ad C Custom holiday ad 35
36 Decision Table 36
37 How are analytics results used? By people By systems 37
38 How are analytics results delivered to people? Delivery mechanism Format Flexibility 38
39 Any different than reporting requirements? 39
40 Data requirements for analytics Sources Storage Management and Governance Extraction 40
41 Data sources Questions Where is data? What attributes? Will sources change? Examples #1 Source images from social media profiles #2 Today use: Facebook, LinkedIn, Twitter 41
42 Data storage Questions Volume of data? Volume growth plans? Examples #1 150K customer records have facial images #2 Images increase at a rate of 10x/quarter 42
43 Data management and governance Questions Standardize data sets to store? Data security? Archive or destroy old data? Examples #1 Encrypt data per legal policies #2 Store for 12 months 43
44 Data extraction Questions Speed expectations? Real-time or batched? Examples #1 Display video ad within 3 seconds 44
45 Big data structure (or lack thereof) Structured Semi-structured Unstructured 45
46 Define requirements data transformation Data Analysis Results! 46
47 What do we know? There are known knowns. These are things we know that we know. There are known unknowns. That is to say, there are things that we know we don't know. But there are also unknown unknowns. There are things we don't know we don't know. Donald Rumsfeld 47
48 What time-frame do you want to analyze? Timeframe being analyzed Past Present Future What insights about the past are you looking for? What do you need to understand about the current situation so you can act immediately? What kinds of predictions or decisions do you want to make? 48
49 Creative thinking outside the box Decisions? Example solutions Tool capabilities 49
50 Evolutionary by nature Dream state Ask question Data Analytics Results Make decision Done Reality Ask question Different Different Data data Analytics Results?? Make decision Ask new question 50
51 Dealing with the evolution in requirements Start somewhere? How much will it change? A little bit A lot 51
52 Big data and analytics overview Analytics requirements approach What can I do immediately? 52
53 Remember People don t look at data for fun, they use data to make decisions 53
54 Requirements models for analytics projects Requirements Model Report Tables Display-Action-Response models Process flows/user stories Decision Requirements Diagram* Decision Tree Decision Table When to Use Simple views of the data Interactive dashboards Modeling decision scenario, identifying decisions High-level view of key decisions Detailed decision logic Detailed decision rules Find more about these at: 54
55 Watch for pitfalls! Effects might be real-time! Incorrectly automated decisions! Prioritizing the wrong analytics 55
56 Read more about big data and analytics Software Requirements, 3 rd Edition (Wiegers and Beatty 2013) Visual Models for Software Requirements (Beatty and Chen 2012) Requirements for Analytics whitepaper at Taming The Big Data Tidal Wave: Finding Opportunities in Huge Data Streams with Advanced Analytics (Franks 2012) Analytics at Work: Smarter Decisions, Better Results (Davenport, Harris, Morrison 2010) Business Analysis for Business Intelligence (Brijs 2013) Decision Requirements Modeling for Analysis Projects (Taylor 2013) James Taylor ( International Institute of Analytics ( Harvard Business Review ( 56 Sponsored By
57 Sponsor: DigiBytes.com Topics: Agile Methodology Requirements Process Management Webinars White Papers Case Studies E-Books Big Data Find more at library.digibytes.com 57
58 Joy Beatty Seilevel, Inc. S search: Joy Beatty, 58
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