Data Governance: Privacy, Security, Records Retention and More

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1 Data Governance: Privacy, Security, Records Retention and More Rebecca Bolnick ADE Chief Data Officer ASCUS Student and Finance Meeting 11/21/2014

2 Key Issues 1. What is Data Governance and why is it important? 2. What are the key concepts of Data Governance and Best Practices you need to know? 3. What are some steps you can take to create a successful Data Governance strategy?

3 Key Issues 1. What is Data Governance and why is it important? 2. What are the key concepts of Data Governance and Best Practices you need to know? 3. What are some steps you can take to create a successful Data Governance strategy?

4 In a World without Data Governance Has this ever happened to you? Funding denied due to erroneous data Lost instructional time because of late data Letter Grade negatively impacted because of enrollment error Time wasted cleaning up the same data issues year after year

5 What is Data Governance? Data Governance: An organizational approach to data management, formalized as a set of policies and procedures that encompass the full life cycle of data

6 What is Data Governance? Goals of a Data Governance Program: Enable better decision-making Protect the needs of data stakeholders Train management and staff to adopt common approaches to data issues Build standard, repeatable processes Reduce costs and increase effectiveness through coordination of efforts Ensure transparency of processes

7 Key Issues 1. What is Data Governance and why is it important? 2. What are the key concepts of Data Governance and Best Practices you need to know? 3. What are some steps you can take to create a successful Data Governance strategy?

8 The Pillars of Data Governance Data Governance Measure Results of Data Governance Information Lifecycle Management Master Data Management Data-Driven Decisions Metadata Management Data Quality Data Privacy and Security

9 Governance Pillars: Data Quality Having data that is fit for purpose. Benefits Build trust in your data Accuracy in reporting and data-driven decisions Time and cost savings by removing redundant data storage Reduce time spent on manual data reconciliation

10 Governance Pillars: Metadata Data about the Data. Business data glossary Technical data dictionary Operational Data Dictionary Data lineage

11 Governance Pillars: Masterdata Management BEFORE AFTER Registrar Acad. Coaches Finance Registrar Acad. Coaches Finance Masterdata

12 Governance Pillars: Privacy and Security Legal and public expectations of data privacy Do the right people have the right access to data? (and how do you know?) User management (ADEConnect federation) Not all data are equal; define privacy classifications FERPA and ARS; understand your obligations Protect against data loss, data corruption, hacking Really, you are a target Do you know where your data is? Do you know if it s safe? Training is key; negligent staff are the top cause of data breaches

13 Governance Pillars: Information Lifecycle Management A systematic, policybased approach to data collection, use, retention, and deletion. Benefits Improved timeliness in reporting Improved system performance through the process of archiving unused data

14 Governance Pillars: Data Analytics Put Your Data to Work for You! Use quality data in classrooms and schools to inform policies, strategic direction, instruction and decide what students need to increase learning. -With Governance, set policies and procedures to ensure everyone gets the same answers, reduce redundancy, and align efforts to goals Benefits Cost saving in analytics (system and people) Improved system performance of production servers Data consistency across divisions Improved decisions

15 Key Issues 1. What is Data Governance and why is it important? 2. What are the key concepts of Data Governance and Best Practices you need to know? 3. What are some steps you can take to create a successful Data Governance strategy?

16 Data Governance- One Approach Conduct Governance Maturity Assessment Create a roadmap for areas needing improvement Implement Data Governance Committees Kickstart workgroups in all Governance Pillars Measure Governance benefits and improve

17 Governance Maturity Evaluation Evaluate where your organization is, and where you want to be Identify areas of weakness, pressure points, or strengths that can be built upon

18 Gartner Governance Maturity Model

19 Governance Maturity Exercise 10 minutes

20 Conclusions and Wrap-Up

21 Risks and Pitfalls to Avoid Lack of interest or knowledge Disinterested or disengaged executive sponsorship Members of the data governance council who don't care Resistance to change Ignorance about data governance Getting everyone on the same bus Limited authority/power of the data governance council Poor communications through the organizational hierarchy Taking the right approach Scope is too wide ("big bang") or too narrow Piecemeal execution without a clear road map and defined release cycles Not showing the value No measurable deliverables Lack of or a poor reporting framework Low value due to incorrect priorities

22 Recommendations Things you should do: Obtain solid leadership sponsorship Tie benefits to real goals Obtain stakeholder buy-in Focus on governance and process Continuous improvement Things to Avoid: Lack of shared vision and commitment Viewed purely as an IT effort Separate data quality efforts Weak or disjointed metrics Don t boil the ocean Technical goals masquerading as business goals

23 Putting it into Action Monday Morning Identify your champions Conduct maturity assessment to identify critical needs Develop your roadmap Next 90 Days Form workgroups to focus on your organization s top 3 critical data governance needs Establish a system to measure the benefits of data governance (e.g. time savings, number of duplicates or errors) Next 12 Months Reevaluate maturity Measure and communicate benefits and successes of governance across the organization Evolve your strategy to address new issues or tackle the next in line

24 Recommended Resources PTAC Data governance checklist EdFacts data collection process www2.ed.gov/about/inits/ed/edfacts IBM Data Governance Unified Process by Sunil Soares

25 ADE Data Governance, Privacy, and Security Team Rebecca Bolnick Chief Data Officer Carrie O Brien Chief Privacy Officer Carrie.O Ed Jung Chief Technology Officer Shyam Sunder Chief Security Officer

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