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Master Data Management Aligning Data, Process, and Governance Donna Burbank Global Data Strategy, Ltd Master Data Management Aligning Data, Process, and Governance Donna Burbank Global Data Strategy, Ltd. April 23rd , 2020 Follow on Twitter @donnaburbank Twitter Event hashtag: #DAStrategies Copyright Global Data Strategy, Ltd. 2020 Simplifying Advanced Data Workloads with NoSQL Data Management for Modern Data Demands David Jones-Gilardi Developer Advocate @DataStax NoSQL and Cassandra: Foundational Capability LEGACY DATA REAL-TIME, DISPARATE, INTEGRATION STREAMING, EVENTS SILO’D DATA 2 Modern Data Diversity and Complexity LEGACY DATA REAL-TIME, DISPARATE, INTEGRATION STREAMING, EVENTS SILO’D DATA DATA SECURITY / UNPREDICTABLE HYBRID, MULTI, SOVEREIGNTY SCALE INTER-CLOUD 3 Modern Data Brings Workload Complexity > Traditional Siloed Today’s Related Data and Data and Workload Complex Management Workloads Data Management Evolution { : } 1980’s 2000’s 2020’s So, how do we solve for mixed workloads? How complex is your query? • Simple - Single Partition/Single Index Lookup, Single Iteration • Complex - Full Scan, Large Aggregation, Unknown Iterations • In between - Multiple Partition/Indexes, Aggregations, or Multiple Iterations How fast do you need it? • Machine Time < the time it takes to interrupt a user process • Human Time < time a user will wait • Offline Time is Everything else 6 Mixed Workload Coverage – Customer 360 Queries 1. Find me Dave Offline 2. Find me all people with similar fast Analytics 5 names to ‘Dave’ 3 3. Tell me if there are duplicate Daves Human 4. Find how Dave and Jenn are fast DSE 4 connected Graph 5. Find how influential Dave is in Response time CQL Search my application 2 Machine 6. Show Dave what songs are 6 fast 1 trending for anyone with the same preferences while he Stream Processing looks for a song to play in his Simple Complex mobile app New Opportunities BLENDED WORKLOADS AT SCALE WITH DATASTAX Recommendation Law Fleet Fraud IoT Systems Enforcement Management Anomaly detection Act on sensors Your preferences Bad actor identification Vehicle tracking and connected and analyze and your network’s and criminal and path components the network preferences network activity optimization Manage Seamlessly with one Database Graph, Analytics, Search, Advanced Security, Stream Processing, In-memory Engine 8 Simplified Data Complexity SINGLE CLOUD A Single Data Platform Mixed Workloads at Scale Scale apps for complex HYBRID ON data & workloads with CLOUD PREMISES ease Real-time Intelligence Access the full value of your ever-changing data Multi-DC, Multi- Platform Deployment and MULTI- / INTER-CLOUD operations wherever 9 you choose to deploy Learn about Cassandra and TinkerPop today! academy.datastax.co m @DataStaxDevs datastax.com/download s @DataStax 10 Thank you Master Data Management Aligning Data, Process, and Governance Donna Burbank Global Data Strategy, Ltd. April 23rd , 2020 Follow on Twitter @donnaburbank Twitter Event hashtag: #DAStrategies Copyright Global Data Strategy, Ltd. 2020 Donna Burbank technology. In past roles, she has served in She has worked with dozens of Fortune 500 key brand strategy and product companies worldwide in the Americas, management roles at CA Technologies and Europe, Asia, and Africa and speaks regularly Embarcadero Technologies for several of the at industry conferences. She has co- leading data management products in the authored two books: Data Modeling for the market. Business and Data Modeling Made Simple with ERwin Data Modeler and is a regular As an active contributor to the data contributor to industry publications. She can management community, she is a long time be reached at Donna is a recognised industry expert in DAMA International member, Past President [email protected] information management with over 20 years and Advisor to the DAMA Rocky Mountain Donna is based in Boulder, Colorado, USA. of experience in data strategy, information chapter, and was awarded the Excellence in management, data modeling, metadata Data Management Award from DAMA management, and enterprise architecture. International. Her background is multi-faceted across Donna is also an analyst at the Boulder BI consulting, product development, product Train Trust (BBBT) where she provides advice management, brand strategy, marketing, and gains insight on the latest BI and and business leadership. Analytics software in the market. She was on She is currently the Managing Director at several review committees for the Object Global Data Strategy, Ltd., an international Management Group’s for key information information management consulting management and process modeling company that specializes in the alignment of notations. business drivers with data-centric Follow on Twitter @donnaburbank Global Data Strategy, Ltd. 2020 Twitter Event hashtag: #DAStrategies 2 DATAVERSITY Data Architecture Strategies This Year’s Lineup • January 23 Emerging Trends in Data Architecture – What’s the Next Big Thing? • February 27 Building a Data Strategy - Practical Steps for Aligning with Business Goals • March 26 Cloud-Based Data Warehousing – What's New and What Stays the Same • April 23 Master Data Management – Aligning Data, Process, and Governance • May 28 Data Governance and Data Architecture – Alignment and Synergies • June 25 Enterprise Architecture vs. Data Architecture • July 22 Best Practices in Metadata Management • August 27 Data Quality Best Practices • September 24 Data Virtualization – Separating Myth from Reality • October 22 Data Architect vs. Data Engineer vs. Data Modeler • December 1 Graph Databases: Practical Use Cases Global Data Strategy, Ltd. 2020 3 What We’ll Cover Today • Master Data Management (MDM) provides organizations with an accurate and comprehensive view of business-critical data such as Customers, Products, Vendors, and more. • While mastering these key data areas can be a complex task, the value of doing so can be tremendous – from real-time operational integration to data warehousing & analytic reporting. • This webinar provides practical strategies for gaining value from your MDM initiative, while at the same time assuring a solid architectural and governance foundation that will ensure long- term, enterprise-wide success. Global Data Strategy, Ltd. 2020 4 MDM is Part of a Wider Data Strategy A Successful Data Strategy links Business Goals with Technology Solutions “Top-Down” alignment with business priorities Managing the people, process, policies & culture around data Leveraging & managing data for strategic advantage Coordinating & integrating disparate data sources “Bottom-Up” management & inventory of data sources Copyright 2020 Global Data Strategy, Ltd Global Data Strategy, Ltd. 2020 5 www.globaldatastrategy.com What is Master Data? Definition • Master Data is the consistent and uniform set of identifiers and extended attributes that describes the core entities of the enterprise including customers, prospects, citizens, suppliers, sites, hierarchies and chart of accounts (sic). • Master data management (MDM) is a technology-enabled discipline in which business and IT work together to ensure the uniformity, accuracy, stewardship, semantic consistency and accountability of the enterprise's official shared master data assets. - Source Gartner Global Data Strategy, Ltd. 2020 6 What is Master Data? Real-world examples The $1M cheese slice The $2M baby bottle The “dead” living organism Which Dr. Smith is credentialled Which Michael Jones is the How do we define Regions, Markets, for heart surgery? high-net worth customer? Locations, Catchments, Sites, etc.? Global Data Strategy, Ltd. 2020 7 What is Master Data? What is Reference Data? Master Data Reference Data Address Line 1 Address Line 2 One person’s Master Data is City another person’s Reference Data… vs. State How do we define Regions, Markets, AL Locations, Catchments, Sites, etc.? AK AR AZ CA CO ..etc. Global Data Strategy, Ltd. 2020 8 … but Don’t make this overly Pedantic … Global Data Strategy, Ltd. 2020 9 Understanding Your Customer A 360 Degree View through Data Address = Pontresina, Switzerland Occupation = Ski Instructor Purchased €500 in outdoor gear in 2015 Member of Loyalty Program since 2010 100% of purchases online Stefan Krauss Age = 31 Top Finisher in Engadin Ski Marathon 2010-2015 Prefers Text Message Global Data Strategy, Ltd. 2020 10 Understanding Your Customer A 360 Degree View through Data Address = Zurich, Switzerland Occupation = Banker Purchased €3.500 in outdoor gear in 2019 Member of Loyalty Program since 1990 75% of spending is while Stefan Krauss on holiday Age = 62 Football Fan 100% of spending in store Global Data Strategy, Ltd. 2020 Prefers Physical Mail 11 Transaction Data vs. Master Data Consider the following retail transaction data Customer Date Product Code Price Quantity Location Stefan Kraus 1/2/2017 Scarpa Telemark Ski Boot SC1279 €250 1 St. Moritz, CH Donna Burbank 1/5/2017 Scarpa Telemark Ski Boot SCU1289 $150 1 Boulder, CO Stefan Kraus 1/2/2017 North Face Down Jacket NF8392 €450 1 Zurich, CH Stefan Kraus 1/2/2017 Garmin Sports Watch GM29384 €200 2 Zurich, CH Wendy Hu 3/4/2017 Prana Yoga Pant PN82734 $51 5 New York, NY Joe Smith 4/1/2017 Garmin Sports Watch GM29384 $150 1 Albany, NY Transaction Data Master Data • Describes an action (verb): E.g. “buy” • Describes the key entities (nouns), e.g. Customer, Product, • May include measurements about the action: (Who, When, Location What, How Many, Where, How Much, etc.) • Provides attributes & context for these nouns • E.g. Stefan Kraus, 1/2/2017/, Scarpa Telemark Ski Boot, St. • e.g. Wendy Hu, age 25,
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