PDF-Data Management Maturity (DMM)

SM model Frequently Asked Questions FAQs CMMIInstitute is proud to announcethe Data Management Maturity DMM model to enable organizations to improve data management practices across the full spec. Tina Erwee. Senior consultant. Microsoft Consulting Services . Session Code: ARC203. Key take-. aways. What is ALM and why is it important. The different maturity levels. What discipline areas are covered. Background. Data . Governance . Defined. Data Governance Maturity . Models & Assessments. Data . Governance . Frameworks. Next Steps. Data Governance . Basics to Consider. Reading & Resources. 2. Strategy, Operations and Change. Navigating between destiny and reality. Chapter overview. An inspiring strategy. Operational reality. Credibility of change. Justifying the project. Project classifications. and Lean Six Sigma (LSS). USC . CS510 Lecture. Rick Hefner, Ph.D.. Northrop Grumman Corporation. Rick Hefner, Ph.D.. Northrop Grumman Corporation. Background. All companies try to maintain their competitive advantage. Kathy Schwalbe, Ph.D., PMP. April 29, 2009. schwalbe@augsburg.edu www.kathyschwalbe.com. 2. Presentation Background. Most of the information in this presentation is based on reviewing the literature for examples for my latest books. Rich Berthelsen, JD, CPCU, AIC, ARM, AU, . ARe. , MBA. RIMS – April 2014. Overview. Exam Basics – What to Expect. Test-Taking Tips. Review of Sections Students Find the Most Challenging. What to Expect on the Exam. Rich Berthelsen, JD, CPCU, AIC, ARM, AU, . ARe. , MBA. RIMS – April 2014. Overview. Exam Basics – What to Expect. Test-Taking Tips. Review of Sections Students Find the Most Challenging. What to Expect on the Exam. Data Program Self-Assessment. A. methodology, guide and tools . to help agencies answer four . key questions:. Do we have the right data to make good decisions and meet reporting requirements? . A . Framework for Measuring Program Success. Jonathan Avila. Chief Accessibility Officer, SSB BART Group. Mary Smith. Executive Account Manager, SSB BART Group. Agenda. What is a Maturity Model?. The Digital Accessibility Maturity Model (DAMM). ESIP Summer Meeting, Durham. July 19, 2016. Shelley Stall. AGU Assistant Director, . Enterprise Data Management. sstall@agu.org. 2. AGU’s position statement on data affirms that . “Earth and space sciences data are a world heritage. Stage 1. Stage 2. Stage 3. Stage 4. Stage 5. Reporting is: . Enterprise wide. Processes are: . Optimized. Focus is: . Business Opportunity. Reporting is: . Incomplete. Processes are: . Isolated. Focus is: . Client. . Rating. Adobe. Comments. Leadership. Strategy. Solution. People. Process. Product. The. . following. . lists. . highlight. . some. . specific. . high-level. . points;. . they. . are. %. Tricyclic. . terpanes. / (. Tricyclics. + 17. . Hopanes). %. . /(. . +. . -. Hopanes. (C30)). %Ts/(. Ts+Tm. ). 18. . /(. . +. . ).. oleananes. %20S/(20S+20R)-. steranes. Data Program Self-Assessment. A. methodology, guide and tools . to help agencies answer four . key questions:. Do we have the right data to make good decisions and meet reporting requirements? .