• Provide a Business Reporting Services Compass that lets you know where you are and provides you input decision making
  
• Make Business Technology Reporting Maintenance Engineering Happen by providing:
  ||||||||> a Value Add Reporting Services Contribution as a Continuous Productivity Improvement, CPI, business process
  ||||||||> Training and hands-on on Report Life Cycle stages
  ||||||||> Top Quality Informative Reports for Management Decision Making & Support
  ||||||||> 'User Owned' Top Quality Reliable and Dynamic Datasets including Metadatasets
  ||||||||> Documented metric & Data Valadation Device processes to pass the Quality Data Pedant Test.

AGG is an independent trainer, consultant and bespoke report developer and is not affiliated with any of the above. Throughout this site trademark names, logos and quotations where used are only in a reference fashion with no intention of infringement.

References include:

Michael Porter's Value Chain (Use the 'Back to' to return here) - Porter's Value Chain highlights the 'Hand-offs'|'Transitions' as the process moves from person to person - The GAP. Each time this occurs there is a probability of a Quality loss. By minimising these 'Hand-off'|'Transition' GAPs, especially in the technical support services area, a greated Quality of Service Delivery can be achieved. Another reason for DOITY, Doing IT Yourself and Making Quality Reporting Happen.
For Government, the Margin morphs into Cost Effective Savings during the 'hand-offs'.

Porter's Monitor Group - It should be pointed out that Porter's 1980's forecast for each service delivery function to be a 'mom & pop franchise' by 2020, is still an interesting focus while Microsoft points to ubiquitous Business Intelligence by the same date.

Pareto Principle - the 80 | 20 Rule. 80% of the Business is generated by 20% of the customers.

• In computer science and engineering control theory such as for electromechanical energy converters, the Pareto principle can be applied to optimization efforts. For example, Microsoft noted that by fixing the top 20% most reported bugs, 80% of the errors and crashes would be eliminated.

• CogniTech's Effectiveness Benchmarking research from Kay Redditt and Dr Tom Lodahl found that on average 80% of the Effectiveness of Service Delivery from the Technical Support Staff to the Business Unit Staff was dependent on how well the two teams worked together.

• It could thus be inferred that where a Business Unit Staffer was also skilled in all aspects of Report Writing and Development that they instantly become 80% Effective as they are Doing the IT part themselves.

The 'Businessing' of IT by Real Decisions Corporation, RDC - 'if you are not measuring IT you are not managing it', now part of Gartner. While Benchmarking IT Service Delivery efficiencies, RDC defined Quality as Doing the Right Things (Effectiveness) Right (efficiency). The Big E and the small e of Technical Services Delivery Quality. For Business Reporting Quality it is a matter of Doing the Right Report Delivery Services Things Right.

Balanced Scorecard, BSC - The Balanced Scorecard refers to 'missing measures'. These are the Effectiveness Metrics rather than efficiency metrics.

Vincent Lombardi Time - If you are later than 15 early for a meeting you are late.

IBM - 'THINK'

Computer Sciences Corporation - 'MAKE IT HAPPEN'

Microsoft - 'Doing More with Less'

Less is More - "I am sorry this is such a long letter, but I did not have the time to write a short one." -- Mark Twain. The Report IS the short letter as much time is spent in the Report Stages.

Moore's Law

The 7 Layers of OSI, Open Systems Interconnection.

Inmon vs. Kimball - An Analysis - The Quality of large amounts of Data Warehousing decision making data is discussed:

• ' THE LESS DISCUSSED DIMENSION: PROCESS - The one dimension that has been ignored, stressed by several experts, is the “process”. For some reason, corporate processes have been treated as if they are not influential factors to the “analytics”.

• STILL AN UNCONQUERED SCIENCE Despite the great efforts from Inmon, Kimball, and the Others, the world of Data Warehousing is still facing great challenges. Even in 2005, after 14 years of Inmon explaining the concept, more than 50% of today’s data warehouse projects are anticipated to fail [Robert Jaques]. In - fact, Ted Friedman, a Principal Analyst in Gartner wrote in 2005, “Many enterprises fail to recognize that they have an issue with data quality. They focus only on identifying, extracting, and loading data to the warehouse, but do not take the time to assess the quality.” '