By: John Mancini on May 21st, 2010
8 Ways Information Management and IT Governance Will Support Each Other
Information Governance | Intelligent Information Management (IIM)
1. "IT doesn't matter."
When Nicholas Carr published this statement in the Harvard Business Review in 2002, there was an outcry from the IT pundits. Obviously, the fear of becoming irrelevant seemed exaggerated. Today we know Carr was right. He realized that we should talk about services and information, delivered based on our requirements fitting the needs of the business and other stakeholders such as employees and clients, instead of concentrating our energy on running bulky machines heating up the environment and driving up the electricity bill. So the T in IT is becoming less important. Typical IT Governance initiatives are still focused on in-house IT installations and software development; this will have to change. IM can support this.
2. IM will allow IT Governance to leave the conformance niche.
Although many IT Governance experts might strongly disagree, IT Governance is still a very defensive and cost- and risk-oriented topic. Coming mainly out of the auditor scene, IT Governance always came up short on the "value" side of the equation. If “Management is the balancing act between Conformance and Performance decisions," IT-Governance clearly addressed only the conformance side.
The five cornerstones of IT Governance: Risk management, Business/IT alignment, Value Delivery, Resource Management, and Performance Measurement (ITGI definition) have not been treated equally. Business/IT alignment -- one of the goals IT governance tried to accomplish -- was never really a core issue. Consultants stuck with the old risk and control focus. IM can help to change this view.
3. It's the fuel that powers the engine - it's information that creates value.
Information as a production factor has seen growing importance for some years. But things are changing faster than ever. Realizing that true business benefits will be created by having the right information in the right place, the importance of cloud computing and outsourcing services has grown. Business and other stakeholders should be in focus.
In many organizations, it was the IT department that controlled the use of data -- a world upside down! Information Management is the key to better Business/IT alignment. Due to the decoupling of information and the technology to process it, the information owners are the new chiefs. IT Governance needs to adapt this view and focus more consequently on the business benefits of I. Many organizations won’t produce software or run hardware any longer, so the ITG domain models need to change. This will allow ITG to become a more business-oriented topic.
4. Storage costs will be one of the drivers for better IT Governance.
Whereas all typical IT costs have come down, the cost of storage in total is increasing. This is true for the HW cost, but even more for the data management cost: If the management of data costs ten times the HW cost, data management is becoming a factor that directly affects the bottom line and shareholder value. Eliminating stovepipes and building a data highway are key components of an information strategy and need to be supported by IT Governance. The optimized management of data will become one of the more important drivers for value delivery.
5. Measure, measure, measure.
One key lesson we’ve learned from implementing ITG also be applied to IM. Maturity models are very useful tools to implement IM/ITG and to measure the success of the implementation. However, monitoring is key. Measuring the right things means to measure not only the amount of concrete you transport to the construction site (typical KPI) but also measure what has been built (typical KGI = Key Goal Indicator). Use only a few indicators, but track them permanently and with persistence.
6. Forget “best practice," use “adapted” or “optimized” instead.
One of the biggest misunderstandings when talking about maturity levels is the widespread (or consultant driven) idea that a higher maturity level means it’s better for your organization. This is nonsense because the level to be achieved depends solely on your organization and the goals deduced from the business you’re in. So in certain domains, a level 2 maturity might more than enough, whereas in other domains, a 3 can be minimum.
This also means: Get rid of best-practice thinking. A focus on optimized practice thinking enables you to create the maximum benefit for your organization. Challenge standards and frameworks and adapt them to your needs.
7. IM must be governed.
If information is put in the hands of the business, the educated and controlled handling of this vital resource is key to the success of the organization as a whole. So Information Governance -- the subset of IM which takes care of all the conformance aspects -- needs to be harmonized with the domain control objectives for this area.
Therefore, an information management strategy is key, and life cycle management a must. Coordination and governance of data spread throughout the cloud is not an easy challenge. Relying on the over-potent search engine will fail, so better tackle the challenge now!
8. IT Governance 2.0.
The next generation of IT governance will move away from in-house, IT-shop centric controls and must focus on cloud computing, the lifecycle of data, social media, and the integration of data from a dozen different sources.
Security, privacy, and control will remain very important topics, so will cost issues and resource management. But because costs are more transparent and resources calculable, business/IT alignment will be even more in focus. The significance of your internal IT shop is decreasing -- the governance and control aspects must be concentrated on delivering services and less on software development or things like disaster recovery and physical security. However, a slavish implementation of so-called “best practice” standards will not support your business. Only optimized practice will empower your organization.
About John Mancini
John Mancini is the President of Content Results, LLC and the Past President of AIIM. He is a well-known author, speaker, and advisor on information management, digital transformation and intelligent automation. John is a frequent keynote speaker and author of more than 30 eBooks on a variety of topics. He can be found on Twitter, LinkedIn and Facebook as jmancini77. Recent keynote topics include: The Stairway to Digital Transformation Navigating Disruptive Waters — 4 Things You Need to Know to Build Your Digital Transformation Strategy Getting Ahead of the Digital Transformation Curve Viewing Information Management Through a New Lens Digital Disruption: 6 Strategies to Avoid Being “Blockbustered” Specialties: Keynote speaker and writer on AI, RPA, intelligent Information Management, Intelligent Automation and Digital Transformation. Consensus-building with Boards to create strategic focus, action, and accountability. Extensive public speaking and public relations work Conversant and experienced in major technology issues and trends. Expert on inbound and content marketing, particularly in an association environment and on the Hubspot platform. John is a Phi Beta Kappa graduate of the College of William and Mary, and holds an M.A. in Public Policy from the Woodrow Wilson School at Princeton University.