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Master Your Data. Master Your Business
Informatica MDM aims to provide organizations with a comprehensive understanding and management of master data, addressing issues such as data duplication, inconsistency, and lack of visibility across departments. The document highlights the importance of mastering data to improve business processes, reduce costs, and enhance decision-making, showcasing Informatica's solutions that allow for effective governance, cleansing, accessing, and resolving data across various domains. With a proven track record and widespread adoption among leading companies, Informatica MDM emphasizes the necessity of maintaining accurate, reliable, and timely data to support critical business operations.
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Master Your Data. Master Your Business
- 2. Informatica MDM Master YourData. Master Your Business. Suresh Menon Vice President, Product Management – Information Quality Solutions May 1, 2015
- 3. 3 • Data notstandardized • 4 people across 4 departments have 6 different answers • Data suffers from duplication • Did they get this service 4 times, or was it entered 4 times? • (No, 2 people went twice to see 2 different devices) • Hierarchy not universally understood • This supplier is not approved due to parental ownership (China), but we’ve been sourcing material without traceability for 3 years. • Data linkage and lineage does not exist • Who is the data steward ? • What is the approval process to fix the data ? Why do we need Master Data Management?
- 4. 4 Companies The Hard Truthis That Data Degrades • 240 businesses will change addresses • 150 business telephone numbers will change or be disconnected • 112 directorship (CEO, CFO, etc.) changes will occur • 20 corporations will fail • 12 new businesses will open their doors • 4 companies will change their name Source: D&B, US Census Bureau, US Department of Health and Human Services, Administrative Office of the US Courts, Bureau of Labor Statistics, Gartner, A.T Kearney, GMA Invoice Accuracy Study • 5,769 individuals in the US will change jobs • 2,748 individuals will change address • 515 individuals will get married • 263 individuals will get divorced • 186 individuals will declare a personal bankruptcy Individuals Master data changes at rate of 2% per month. Products • On average 20% duplicates in product data • 90% of new product introductions fail • Retailers lost 40 billion or 3.5% of total sales lost each year due to item info inefficiencies • 60% error rate for all invoices generated • Global Data Sync will realize 30% lower IT costs In one hour… In one hour… In one year… Compounded, 2% monthly change is 27% per year, 61% in two years, 104% in three years!!!
- 5. The Information Challenge Howto Synthesize and Govern Data Across Silos and Providers? 5 Application LegacyCloud Computing Unstructured Third Party Data CITIZENLOCATION PROVIDER ENTITYPATIENT PATIENTCITIZEN LOCATIONPROVIDER ENTITY Data Governance ? Waste, Fraud, and Abuse Food & Drug Testing & Safety Education Other MissionsHealthcare Management
- 6. The Information Challenge Howto Synthesize and Govern Data Across Silos and Providers? 6 Application LegacyCloud Computing Unstructured Third Party Data CITIZENLOCATION PROVIDER ENTITYPATIENT PATIENTCITIZEN LOCATIONPROVIDER ENTITY No View of Interactions 3 No View of Relation- ships 2 No Single View 1 Data Governance ? Waste, Fraud, and Abuse Food & Drug Testing & Safety Education Other MissionsHealthcare Management
- 7. MDM Improves CriticalBusiness Processes MDM STUDENTS INSTITUTION PROVIDER LOCATION Application LegacyCloud Computing Unstructured Third Party Data Impact Healthcare Outcomes Ensure Consumer Protections Improve & Shape Public Policy Detect & Stop Waste, Fraud, & Abuse Interact Across Agencies
- 8. Advanced Insight DrivesImproved Outcomes in… 8 Waste, Fraud, and Abuse Food & Drug Testing & Safety Education Other MissionsHealthcare Management •Understand educational best practices, risk factors, impactful programs, •Improve drug tracking •Secure food chain •Track clinical trials •Automate and improve patient identification •Track all payers •Establish Health Information Exchange •Single view of veterans, soldiers •Uncover wasteful spending •Implement Do Not Pay •Detect financial crimes •Provide 360- degree of benefits & services •Cross-Agency intelligence data mgmt •Streamline procurement and maximize discounts
- 9. 400+ Customers, Morethan 50% are Fortune 500 % Global 500 companies Introducing Informatica MDM Informatica Intelligent MDM empowers organizations to deliver business value with complete and accurate views of business-critical master data – data about customers, products, suppliers and locations – as well as a trusted view of all customer relationships and their interactions across the enterprise. Stellar Track Record Proven in Numerous Deployments 3+ Months Customer Deployments #1 in Customer Loyalty – 9 years in a row 35+ Industries Banking, Insurance, Life Science, Healthcare, High Tech, Oil & Gas 100+ Business Solutions Total Customer Relationship Asset Data management
- 10. Master Data Management Operational Analytical CIF Legacy Systems Data Warehouse DataMarts Portal/ Dashboard Business Intelligence Legacy Systems Applications Applications Legacy Third Party Data Cleanse Deliver Discover Recognize Resolve Relate Access Master Data Deliver Timely, Trusted, Relevant Master Data Model 1 2 3 4 5 6 7 8 How Does Informatica Help Customers with Master Data Management? Govern9
- 11. Informatica MDM CoreCapabilities Govern Cleanse Model Access Resolve Recognize Discover Relate Deliver Address Standardization Integrated Data Quality Open Cleanse Architecture Deterministic & Fuzzy Logic Internationalization Merge Trust Framework Party & ProductParty Product All Data Sources Batch or Real-time All Data Formats BPM Workflows Data Stewardship Unmerge Sync Business Interaction 3 1 2 4 5 6 7 9 8 Proactive Monitoring Monitoring & Scorecard Profiling Analysis Discovery Dynamic Data Masking Embedded DI Google Like Search Composite Objects & Services Single or Multidomain Customer Product Metadata Content Configuration History Lineage Match Survivorship Validation Rules Federate
- 12. Discover Key requirements forsuccess: • Discover and document all anomalies in the data • Catalog issues in completeness, conformity, consistency, accuracy, duplicates, dependencies • Determine master data model Discover Data Profiling
- 13. 1313 Data Profiling 1 3 Uniqueness Datatype Nulls Min/Max • InformaticaAnalyst Tool • Part of MDM User Screens • Non-technical tool for identifying data issues Discover • Collaboration
- 14. Model Model Master Data Management Key requirements forsuccess: • Multiple types of data domains (Customer/Party, product & service, agreement, organizational unit, channel, finance/accounting, asset, reference tables) • Limit data model complexity to business needs, consequently rapid implementation and lower maintenance overhead • Robust metadata tracks all history, linage & cross references • Configure driven approach to delivering master data as per the context of identified consumers
- 15. Access Key requirements forsuccess: • Access master data from variety of internal and external sources of maser data • Ability to on-board data both in batch and real-time • Simplified development and administration powered by enterprise grade performance and scalability • Interoperable metadata and reusable business rules Access Data Integration
- 16. Cleanse Key requirements forsuccess: • Integrated data cleansing and data enrichment capability during data onboarding • Address standardization • Data monitoring and reporting • SOA based access to DQ rules • Conditional Formatting • Validation rules • Data Conversion, Noise removal, Transformation • Open cleanse architecture Cleanse Data Quality
- 17. 1717 Rules – BuildOnce, Deploy Anywhere 1 7 • Visual Mapping • No coding • Create rules or leverage existing • Informatica Data Quality (IDQ) • Cleanse, Standardize, and Validation Rules • For incoming source data or inputs through user screens Cleanse
- 18. 1818 1 8 Data Scorecards • Graphicalviews of your source data’s quality • Shows point-in-time and over a period to show trending • Allow for proactive notification when data quality is impacted or changes • Reporting capability You set the metric levels See trends over time
- 19. Recognize RECOGNIZE Recognize Master Data Management Key requirementsfor success: • Identify candidates for matches across multiple systems based on configurable rules • Determine match, non-match based on user defined thresholds • Queue questionable matches for manual review • Easy to search and locate master data, apply post search filtering • Ability to offload large volume, process intensive matching and linking to Hadoop Louis Valdes RECOGNIZE CRM ERP Luis Valdez
- 20. 2020 Informatica MDM Hub CoreCapabilities: Recognize • Identify candidates for matches across multiple systems based on configurable rules • Determine match, non-match based on user defined thresholds • Queue questionable matches for manual review RECOGNIZE the entity accurately across multiple systems Resolve • Out of the box capability • Non-technical configuration of match rules and rule sets Recognize
- 21. Resolve Products: •Informatica MDM Key requirementsfor success: • Automated and manual support for merging records into ‘golden profile’ based on matching thresholds. • Survivorship of reliable and trusted data at the cell level, based on configurable rules • Persist history and lineage of changes enabling users to view complete life cycle of golden records RECOGNIZE Resolve Master Data Management Luis Valdez Louis Valdes RESOLVE CRM ERP Luis Valdez
- 22. 2222 Informatica MDM Hub CoreCapabilities: Resolve • As necessary, matched records are merged to a “golden record” • The most reliable attributes are selected to survive, at the cell level, based on configurable rules • All history and lineage of changes is kept RESOLVE United TechXREF Pratt and W Sys A RESOLVE data conflicts among the systems into a trusted source of truthLycoming Sys B Resolve • Automates merge resolution to reduce match effort • Out of the box data steward screens and workflow process
- 23. 2323 Informatica MDM Hub Assemblingthe Best Version of Truth Address 57 rue du Foubourg 6th and Marquette 123 Main St City Paris Minneapolis New Haven Zip 75003 55405 State MN CT Company Name IXIS CIB Mitsubishi Coatings GE Medical SFA_ID # 21399 50382 62098 Ticker Symbol WFC GE SIC Code 6021 6021 3511OHM Rating Baa AAA Aaa Country US US FR Bank Name Union Materials. General Electric IXIS Corporate & Investment Bank Account # 30803850041 00510464002 91713850028 As of Date 8/26/1950 6/15/1978 4/30/1953 Liquid Assets $190,157 $383,522 $559,934 Equity $3,342 $40,666 $109,354 Total Assets $207,059 $481,741 $673,342ORCL Fin ADDR1 Elm and Carlton Streets 123 Main Street 57, rue du Foubourg CITY Minneapolis New Haven Paris ADDR5 50423 14263 75003 ADDR4 MN CT FULLNAME Union Bank of California General Electric Company IXIS Material Echange SWIFT # 308-03-8500 005-10-4640 917-13-8500 COUNTRY USA USA FranceFixed Assets Liquid Assets $190,157 $190,157 $383,522 Equity $3,342 $3,342 $40,666 Public Y Y Y Credit Rating AAA- AA- AAA Domicile France USA USA Party Name IXIS Corporate Private Equity 3M General Electric Company As of Date 1/31/2006 3/27/2006 4/15/2006 Total Assets $207,059 $207,059 $481,741 Industry 6021 6021 3511 Golden Record Resolve
- 24. 2424 RELATE Informatica MDM Hub CoreCapabilities: Relate • Bring together relationships from different applications and systems • Create and manage a rich set of multiple hierarchies for different purposes • Maintain history and lineage of relationship changes Luis Valdez Julia Smith Employed by Spouse RELATE people, locations, products, and organizations from different sources Clinical Mgmt Luis ValdezXREF Relate
- 25. Deliver Key requirements forsuccess: • Publish reliable master data to both operational and analytical systems • Gain an unified view of master data and related transactional data • Deliver master data to business applications built for data intensive business processes. • Identify risks before they harm with proactive monitoring of master data Deliver Data Services Master Data Management Data Integration
- 26. Composite Object Composite Services BaseObject Business Object Applications Entity 360 Portal UI Applications MDM Powered Apps Composite Objects and Composite Services EJB & REST based Interfaces Composite Object Base Object Business Object
- 27. Entity360 – DataDetails View Callouts – Important, time-or context- sensitive data surfaced to user MDM Match Candidates list view Related MDM Children list view Callouts – Important, time-or context- sensitive data surfaced to user Images and rich media associated with MDM Entity displayed in view Data view
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- 29. Govern Key requirements forsuccess: • Enable collaboration among business data stewards and line of business users via configurable workflows • Allow data stewards to quickly resolution matching records • Merge duplicates and manage hierarchies • Track master data lineage and history • Continuous monitoring of master data quality and DQ scorecards • Protect personal and sensitive master data to reduce risk of data breach Louis Valdes Govern Master Data Management Data Quality
- 30. 3030 The history showsa change in ownership at a point in time.
- 31. 3131 Dashboards Help YouMonitor Progress (Data…Service…Risk – this is an ongoing process)
- 32. 3232 Modify, Manage, andMonitor Apply • Standardization & Validation • Matching & Consolidation • Exception Management • Data Lineage • Scorecards AdministratorManager AnalystSteward Architect Developer
- 33. 3333 Modify, Manage, andMonitor Apply • Standardization & Validation • Matching & Consolidation • Exception Management • Data Lineage • Scorecards Manager AnalystSteward
- 34. Collaborators Embedded BPM Single Step Approval SingleStep Review & Approval Multi Step Approval Match & Merge Review Process Notifications Approval Un Match Review Process 24 Hr Timeout Workflow Options Data Steward Analysts Business Steward IT Leaders Notifications Timeout Steps Automated Re-routing Parallel Approval
- 35. 3535 Data Model Flexible BusinessModel-driven MDM • Flexible approach to data model • Automatically generated services • Configurable user interface, workflow Flexible, Client-driven MDM (Informatica) An adaptive approach that relies on configuration based on unique requirements Adapting to Your Requirements Citizen Organization Agency Services User Interface
- 36. 3636 Data Model Flexible BusinessModel-driven MDM • Flexible approach to data model • Automatically generated services • Configurable user interface, workflow •Changes regenerate services, UI •Lower TCO Flexible, Client-driven MDM (Informatica) An adaptive approach that relies on configuration based on unique requirements Adapting to Your Requirements Citizen Organization Agency - Servicer Services User Interface Remediator A
- 37. Enhancing Big Datawith trusted Master data Big Data Relationship Management +Master Data Management Data lake Accumulo MDM creates context for big data Master data provides trusted information and links/aggregates seemingly unrelated information Big Data enriches MDM Big data provides new insights from non-traditional sources to enrich master data
- 38. Big Data RelationshipManagement 38 Data Source1 Big Data Relationship Management 2 Services3 PC BDE HDFS Fuzzy Index
- 39. Recognized Industry Leaderby Analysts 39 Fastest Growing MDM Vendor MDM Revenue Growth: Informatica (+27.5%), IBM(+10%), Oracle(+10%), SAP(-12%), Tibco (-10%) MDM Customer Growth: Informatica (+75), IBM (+60), Oracle (+33), SAP (Not Reported), Tibco (+21) - Source: Gartner MQ for MDM of Customer Data 2014
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