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