The IBM DataFirst Method Fueling your data-driven transformation

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1 The IBM DataFirst Method Fueling your data-driven transformation Ethel Mahoney Services Offering Manager, Data Science and Business Analytics

2 Deliver accelerated results for your business objectives with data and analytics Business is moving rapidly Data and Analytics are the key to differentiation Rapid business outcomes are your path to success ü Aligning data and analytics to the desired speed of the business ü Driving digital transformation and new business models ü Enabling compliance ü Becoming more resilient to future needs while reducing operational cost 2

3 Data Can t Be an Afterthought You can t have Artificial Intelligence (AI) without an Information Architecture (IA) * AI But how do you deliver accelerated results to your business with AI and data? Machine Learning Advanced Analytics Information Architecture Hybrid Data 3

4 You need a data-centric approach to accelerate business results and to be more resilient to future needs Leverage data as a strategic asset, building for the future instead of Focusing on immediate tactical projects and postponing strategic data design 4

5 Data and Analytics Strategy A data strategy connects your business plan and priorities to your data and analytics requirements. This strategy is the foundation for responding to future needs and, in turn, lowering ongoing costs. Data Can t Be an Afterthought! Business Outcomes Technology Enablers 5

6 Focus is Key to Accelerated Results Actionable Sprints Anchored to a Business Objective Time-constrained (2 weeks or less) With owners, objectives, and measures Supported by reusable assets, platforms, and real-world expertise Iterate, Adapt, and Expand based on lessons learned Prioritized for near-term results 6

7 A Roadmap provides strategic context to minimize startovers Future-State Roadmap Anchored to a Business Objective High-level objectives and sequencing Context for future goals as we focus on immediate actions (next steps) Continuously refined and adapted to business needs and priorities Foundation for accelerated production and continuous innovation with data and analytics. 7

8 The Path to Accelerated Results with Data and Analytics 1-week engagements ½ - 1 day Data Strategy Data Topology Common Data & Governance GDPR, DataLake Align to Your Business Objectives and Priorities Focus & Plan Continuously refined Architecture, Roadmap, and Action Plan Adapt, Expand, and Iterate Sponsorship and Alignment to Business Initiatives Discovery Workshop or as part of Design Engagement Analytics MVPs, ICP4Data Step 4: Path to Accelerated Production and Transformation 1-8 week engagements Adapt and Evolve with Business Needs and Lessons Learned Step 1: Start with Your Business Initiatives and Path to Results Step 2: Develop Actionable Use Case for Accelerated Results with a Strategic Roadmap and Action Plan Step 3: Deliver Accelerated Results with Your Users, Your Data, and Our Combined Expertise 8

9 IBM DataFirst Discovery Workshop The DataFirst Discovery Workshop is the first step to accelerated results with data and analytics. GOALS AND OBJECTIVES In this collaborative working session, we take a selected business objective, identify an area of focus, and develop: an actionable use case a high-level design / architecture a high-level roadmap and action plan to deliver accelerated results with data and analytics CLIENT PARTICIPANTS Executive Sponsor Line of Business Lead IT or Business Intelligence Lead Enterprise Data Architect Data Subject Matter Experts SITE REQUIREMENTS Conference room for participants White board and markers Sticky Note Pads and markers Projector, Screen and Laptop connection 9

10 Full-Day Discovery Workshop Agenda The DataFirst Discovery Workshop is the first step to accelerated results with data and analytics. Client led Joint activity IBM led 9:00-9:15 Introductions and Objectives 9:15-9:30 DataFirst Method approach 9:30-10:30 10:30-10:45 *BREAK* 10:45-12:00 12:00-1:00 *LUNCH* Business objectives Business view: short and long term perspective Key must have requirements to achieve objectives Perceived pain points / gaps in aligning to requirements or objectives As-is architecture Users, data sources, data flows, systems, and dependencies Organization and team structure Identifiable technology / Infrastructure pain points 1:00-2:15 2:15-2:30 *BREAK* 2:30-3:45 Use Case and Focus Proposed Use Cases in support of business objective Use Case Selection and Focus To-be architecture Desired future capabilities in context of business objective Alignment to business goals Users, data, capabilities and components 3:45-4:15 Roadmap and Priorities 4:15-5:00 Action items and next steps 10

11 Half-Day Discovery Workshop Agenda The DataFirst Discovery Workshop is the first step to accelerated results with data and analytics. Client led Joint activity IBM led 8:30-8:45 Introductions 8:45-9:00 Objectives and DataFirst Method approach 9:00-9:30 Business objectives 9:30-10:00 As-is architecture in context of business objectives 10:00-10:30 Focus and use case validation 10:30-11:00 To-be architecture in context of business objectives 11:00-11:30 Roadmap and Priorities 11:30-12:00 Action items / Next steps GOALS AND OBJECTIVES In this collaborative working session, we take a selected business objective, identify an area of focus, and develop: an actionable use case a high-level design / architecture a high-level roadmap, and action plan Client participants Executive Sponsor Line of Business Leader(s) IT or Business Intelligence Lead Chief Data Officer or Enterprise Data Architect Data SMEs for each Line of Business 11

12 IBM Analytics IBM DataFirst Method IBM DataFirst Method Example Analytics use cases across 3 platforms Hybrid Data Management Unified Governance & Integration Data Science & Business Analytics Data Warehouse for Business Intelligence Governed Data Lake Grow, retain, satisfy customers Data Platform for Operational Analytics Enterprise Data Warehouse Offloading Mitigate and manage risks Data Lake for Data Exploration Event Driven Systems 360-Degree Information-Driven Insight with Intelligent MDM Meeting Regulatory and Compliance Needs Increase operational efficiency Build new business models 12

13 The Path to Accelerated Results with Data and Analytics 1-week engagements ½ - 1 day Data Strategy Data Topology Common Data & Governance GDPR, DataLake Align to Your Business Objectives and Priorities Focus & Plan Continuously refined Architecture, Roadmap, and Action Plan Adapt, Expand, and Iterate Sponsorship and Alignment to Business Initiatives Discovery Workshop or as part of Design Engagement Analytics MVPs, ICP4Data Step 4: Path to Accelerated Production and Transformation 1-8 week engagements Adapt and Evolve with Business Needs and Lessons Learned Step 1: Start with Your Business Initiatives and Path to Results Step 2: Develop Actionable Use Case for Accelerated Results with a Strategic Roadmap and Action Plan Step 3: Deliver Accelerated Results with Your Users, Your Data, and Our Combined Expertise 13

14 Putting it All Together: IBM DataFirst Design Engagements Roadmap and Design for the Users, Use, and Flow of Data Business Outcomes Data Strategy Connect Your Business Plan and Outcomes to your Data and Analytics Requirements Data Topology & Data Flow Common Data & Governance Data Lake Design Architecture, Design and Planning for Hybrid Deployment Technology Enablers Roadmap and Design for Classification, Re-Use, Governance and Compliance of Data 14

15 IBM Analytics Services IBM DataFirst Method Four unique Design Engagements Data Strategy Design Engagement Data Topology Design Engagement Common Data & Governance Design Engagement Data Lake Design Engagement Client Roles Chief Data Officer Enterprise Data Architect Data Subject Matter Experts Client Roles Enterprise Data Architect Data Engineer / Data Integration Architect Data Subject Matter Experts Client Roles Chief Data/Compliance Officer Enterprise Data Architect Data Subject Matter Experts Client Roles Enterprise Data Architect Information Security Lead(s) Business Intelligence Lead Infrastructure (IT) Lead(s) You receive: Learning, Design Document, High-Level Roadmap and Action Plan Activities Maximize effective usage of data by segmented personas Determine appropriate data platforms and data domains (on prem, public, private) based on business objectives and usage Provide detailed analysis of current data architecture Create a logical to be data architecture Roadmap for how to phase in data strategy Activities Leverage IBM Design Thinking concepts to align zones of related users of data and analytics Analyze data set types (those current and those being considered) Articulate volumes, transactions, query types, and integration requirements Articulate desired outputs Map workloads Articulate data sets, tables, and structures Define workflow: ingestion, transformation, persistence, uses Activities Develop processes, business rules and infrastructure for ongoing governance Develop data domain definitions and metadata management Develop governance architecture practices and standards Define how to measure, monitor and manage data quality Articulate effective global compliance and regulatory support infrastructure Define stewardship and metrics Activities Articulate detailed planning for secure Data Lake deployment Define processes for data acquisition, data lake management, and user consumption Define integration with data from on prem, public, and additional external sources Define security, availability architecture Articulate required extensions IBM Cloud / Introduction to IBM DataFirst Method / July 7, 2018 / 2018 IBM Corporation 15

16 Overview of the IBM DataFirst Method WHY DataFirst? Accelerate results with data and analytics Start with a focused use case anchored to a business objective to demonstrate short-term results and build longerterm value Address new challenges to transform Approach: Benefits: Aligning data and analytics to the desired speed of the business Driving digital transformation and new business models Enabling compliance Becoming more resilient to future needs while reducing operational cost You Get: Understanding that data matters Anchored to a business need Focus and collaborate within the context of a strategic roadmap to deliver accelerated results Your subject matter experts bring knowledge of business IBM brings global lessons learned, reusable assets, and real-world expertise Use Case Definition Design / Architecture Strategic Roadmap Action Plan Accelerated Results for Your Business Objectives Paving The Road To Cloud & Production 16

17 IBM Analytics Services IBM DataFirst Method Retail Driving better customer insight to increase the effectiveness of customer loyalty programs. Solution After spending time identifying the business challenge the Analytics Services Team along with one our trusted Partners proposed the creation of a Contextual Relevancy Engine. Value Data Strategy and Data Topology Provides sales associates with a list of targeted customers to call every day for example those with a higher conversion rate. Provides data to the Curators to customize marketing campaign content based on relevant data such as weather, location etc. 17

18 Accelerating results with Data and Analytics Understanding that data matters Anchored to a business need Focus and collaborate within the context of a strategic roadmap to deliver accelerated results Your subject matter experts bring knowledge of business IBM brings global lessons learned, reusable assets and real-world expertise Paving the path to production and transformation data-analytics-field-guide/ 18

19 IBM Cloud / DOC ID / Month XX, 2018 / 2018 IBM Corporation 19

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