Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

Bob minchin presentation


Published on

Published in: Business, Technology
  • Be the first to comment

  • Be the first to like this

Bob minchin presentation

  1. 1. Information Governance and Change Forum21 September 2011IMPLEMENTING AN INTEGRATEDINFORMATION MANAGEMENTSTRATEGY Bob Minchin Manager Network Data Ergon Energy
  2. 2. Ergon Energy? Electricity Distributor, Retailer and Generator? Customers 680,000? Operating area over one million square kilometres? Employees 4,600? Powerlines 150,000 kilometres? Power poles 1,000,000? Generation 55MW gas-fired power station on grid? 33 stand-alone power stations? Asset base $8.7 billion.? CAPEX 2009-10 $670M? OPEX 2009-10 $490M
  3. 3. Issues for Ergon Energy - past and present? Ergon Energy formed from 6 small distributors in 1999 ? Huge amount of organisational change ? Silos common – to isolate from the “instability” of change elsewhere in the business? Data low priority until a report needed or a crisis arose ? Expedient solutions “within the silo”? Asset Management demands quality asset information for efficiency ? Energy conservation / Smart Grid challenges? Customer service is more effective when based on ? Knowledge of assets ? Linking of customer information to the physical world? Thinking is maturing rapidly under pressure from the Australian Electricity Regulator, Owner
  4. 4. Today’s discussion – 4 topics1. Integrating information held across disparate repositories and organisational silos into a single system2. Creating and implementing a organisation wide taxonomy/ unified metadata3. Assessing the risks and governance issues of information in the cloud4. Responding adequately to constant organisational and technological changes
  5. 5. 1. Integrating information held across disparate repositories and organisational silos into a single system? Activities are often so diverse and complex that there is no single system that will host all of the tasks ? Datastores tied to systems? Managing a collection of datastores in an integrated fashion requires ? care about data mastering ? understanding data flows within individual repositories and across interfaces, timing ? robust business processes that create, modify and use data? Metadata, Lineage of data? Integration activities are never conducted in a “greenfield” situation ? Existing problems in data architecture, systems ? Imperfect business processes ? (Legacy) data quality? How do we create the time and space ? ? get the basic architectures and processes right ? fix the system defects ? conduct the data cleanse
  6. 6. 2. Creating and implementing a organisation wide taxonomy / unified metadata? There is only one choice here (Do you agree?) ? avoid the huge amount of effort sorting out the conflicts and misinterpretations that will become a weekly or even daily occurrence.? Understand what your business does (with data) ? Build and maintain a logical data model ? Multi-user concept? Business-wide glossary ? Clear, accessible definitions improve efficiency, reduce errors ? Maintain the glossary? Manage it – connect to all continuous improvement programs, projects, move close to the leading edge of the business ? Implement the discipline of effective governance for information management ? Collect and maintain metadata ? Reports must be included ? Supported by organisational structure / accountabilities
  7. 7. 3. Assessing the risks and governance issues of information in the cloud? Outside the “corporate fence” – basic security concerns? Legal issues related to the physical location of data ? some multinational corporations providing these cloud storage services are at a higher level than the governments of the world (in terms of their ability to control access by third parties to your information) ? do the hosting companies have acceptable business and ethical standards ?? Performance issues related to data transfers may impact the architectures of both systems and data? Use of cloud-based application servers and storage provides an opportunity for an imaginative rethink of requirements ? backups, availability ? version management ? updating philosophies and process? Effective technical audit may be a challenge
  8. 8. 4. Responding adequately to constant organisational and technological changes? Changes to KPI’s drive managers’ behaviours ? maintaining effective stewardship of data as individuals cope with structural alterations to the business, new faces, training ? information is usually well down the list of priorities ? External pressures can change KPI’s ? Fight back - implement measures to scorecards (applies also to points 1 and 2)? Organisational culture plays a key role ? determines the instinctive responses of individuals (including managers at all levels) to situations and questions that have not been previously encountered? Externally driven changes can have deep impacts on our data ? e.g. energy conservation programs, demand management, new sources of generation such as PV ? we require quality data that can be taken into mainstream business enabling the expected benefits to be delivered (e.g. planning, operations) ? Governance structures must extend wider in the business and link with external initiatives from government (who are starting to realise that disjointed data gets in the way of benefit realisation)
  9. 9. Questions …