Data governance, Information security strategy

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Data governance, Information security strategy

  1. 1. DATA GOVERNANCE
  2. 2. Definition <ul><li>Refers to ‘the exercise of decision making and authority of data related matters’. </li></ul><ul><li>It is not a hardware/software/manpower solution. </li></ul><ul><li>It mainly brings together cross functional teams to identify data issues that affect the company as a whole. </li></ul><ul><li>Requires communication between business and IT. </li></ul>
  3. 3. <ul><li>In simple words, data is one of the most important intangible assets of an organisation. </li></ul><ul><li>If lost, it becomes irreplaceable </li></ul><ul><li>Information Week study found that the average company’s data volumes nearly double every 12 to 18 months </li></ul><ul><li>According to the latest statistics, data breaches in 2008 increased 47% from 2007. </li></ul>
  4. 4. <ul><li>Imagine a situation where you lose all your data due to a virus attack …. </li></ul><ul><li>Imagine the loss of reputation of your company due to data loss… </li></ul><ul><li>These potential disasters necessitate the inclusion of Data governance </li></ul>
  5. 5. Data Experts <ul><li>Data Owner </li></ul><ul><li>Data Steward </li></ul><ul><li>Data Architect </li></ul><ul><li>Data Modeler </li></ul><ul><li>Data Analyst </li></ul>
  6. 6. The Beginning… <ul><li>Data gov. gained importance since Sept 9/11 attacks. </li></ul><ul><li>The Enron fraud scandal of Nov 2001 along with Worldcom & other fraudulent accounting practices, led to a number of governmental regulations and requirements. </li></ul><ul><li>These new rules mandated financial reporting of public companies and required auditing firms to be objective & independent of their clients. </li></ul>
  7. 7. Initial Struggles <ul><li>Data gov. has been around for quite some time, but without its present terms. </li></ul><ul><li>Companies tried to align & formulate data policies around cross-functional databases in 1970s, but to no avail </li></ul><ul><li>Premature abandonment of attempts at data gov., along with a disillusioned viewing of data governance only as ‘data’ resulted in its failure. </li></ul>
  8. 8. Reasons for its Initial Failure <ul><li>Lack of data stewards result in their unlikeness to single handedly carry out a data governance effort. </li></ul><ul><li>Data gov. councils simply fade away – start with a bang & end with a whimper </li></ul><ul><li>Executive involvement recedes soon. </li></ul><ul><li>Enlisting people before proper definition of processes & outcomes of governance. </li></ul>
  9. 9. Organizational Challenges… <ul><li>Vague authority and accountability </li></ul><ul><li>Ineffective planning </li></ul><ul><li>Poor expectations management </li></ul><ul><li>Unclear or ineffective communications </li></ul><ul><li>Absence of decision-making protocols </li></ul><ul><li>Lack of perceived value </li></ul>
  10. 10. When does the need arise for DG? <ul><li>When the organisation gets too large </li></ul><ul><li>When the organisation gets too complicated </li></ul><ul><li>When the Data Architects and other related groups need a cross-functional program to support them </li></ul><ul><li>When Regulation, contractual or compliance requirements call for formal Data gov. </li></ul>
  11. 11. Goals of a Data Gov Program <ul><li>Ensure transparency of process </li></ul><ul><li>Protect needs of stakeholders </li></ul><ul><li>Reduce Operational friction </li></ul><ul><li>Reduce Costs & Increase Effectiveness </li></ul><ul><li>Enable better decision making </li></ul><ul><li>Train management & staff </li></ul><ul><li>Build standard, repeatable processes </li></ul>
  12. 12. Principles <ul><li>Integrity </li></ul><ul><li>Transparency </li></ul><ul><li>Auditability </li></ul><ul><li>Accountability </li></ul><ul><li>Stewardship </li></ul><ul><li>Checks & Balances </li></ul><ul><li>Standardization </li></ul><ul><li>Change Management </li></ul>
  13. 13. Focus Areas of Data Gov <ul><li>Data governance with a focus on: </li></ul><ul><li>Policy, Standards & Strategy </li></ul><ul><li>Data Quality </li></ul><ul><li>Privacy, Compliance & Security </li></ul><ul><li>Architecture Integration & Analysis </li></ul><ul><li>Data Warehouse & BI </li></ul><ul><li>Management Alignment </li></ul>
  14. 14. Data Governance Process
  15. 15. Benefits.. <ul><li>Improved business-IT alignment </li></ul><ul><li>Balanced decision-making and authority </li></ul><ul><li>Consistent and open processes </li></ul><ul><li>Value realization </li></ul>
  16. 16. New Best Practices In Data Gov. <ul><li>Begin with a Key initiative – get buy in from executives for critical data governance support </li></ul><ul><li>Make the (better-qualified) Data steward the Change agent </li></ul><ul><li>Data governance & data Management are bi-directional </li></ul>
  17. 17. Contd.. 4. Change the influencers, not the leaders. Also, the chair is not the executive sponsor 5. Manage the Data Lifecycle & Maintian transparency 6. Engage the Right Vendors can help streamline data governance policies better.
  18. 18. Case Study 1 - World Health & Relief Organization <ul><li>Collects data from its own efforts and conditions from 98 countries </li></ul><ul><li>WHRO realised structuring the data needed </li></ul><ul><li>WHRO built a KM system based on MS Sharepoint </li></ul><ul><li>System had strong ROI </li></ul>
  19. 19. <ul><li>Expected to generate tens of millions of dollars and man-hours </li></ul><ul><li>Promise of actionable & shareable information on the health and economic conditions of the world’s poor </li></ul><ul><li>Challenge was to make experts, field workers, stakeholders to agree to these standards. </li></ul><ul><li>(according to the Data Governance Institute) </li></ul>
  20. 20. References <ul><li>http://www.datagovernance.com/ </li></ul><ul><li>http://www.datagovernancematters.com/ </li></ul><ul><li>http://datagovernanceblog.com/ </li></ul><ul><li>Data Governance Conference Europe, 2009 </li></ul><ul><li>Data Governance Annual Conference, 2009 </li></ul>
  21. 21. Contd. <ul><li>Moseley, Marty “Keys to Data Governance Success: Teamwork and an Iterative Approach”, Information Systems Control Journal, 2008. </li></ul><ul><li>Dyche, Jill “A Data Governance Manifesto: Designing & Deploying Sustainable Data Governance”, 2007. </li></ul>
  22. 22. Vasanthi Nagappan
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