Guiding for Principles for data-driven IT Transformation

From MIKE2 Methodology

There 10 key Guiding Principles that summarise the MIKE2.0 Solution for IT Transformation.

Contents 1 Principle #1: Take a Data-Driven Approach to IT Transformation 2 Principle #2: Keep the vision at the “Vision Level 3 Principle #3: Involve both IT and the Business to establish the initial vision 4 Principle #4: The Technology Backplane is Key 5 Principle #5: Investigate & Fix DQ Problems Early 6 Principle #6: Align Data-Focused Projects into an Overall Programme 7 Principle #7: Use Standards to Reduce Complexity 8 Principle #8: Build a Metadata-Driven Solution 9 Principle #9: Move to a Organisational Model focused on Information Development 10 Principle #10: Use a detailed, method-based approach

Principle #1: Take a Data-Driven Approach to IT Transformation

In organisations undergoing significant technology change, the problem isn’t whether the new applications can provide the required functionality, its often the data.

Principle #2: Keep the vision at the “Vision Level

Establish the Blueprint and never start from scratch – use best practice frameworks. Keep things at a strategic level while still following a diligent approach to requirements.

Principle #3: Involve both IT and the Business to establish the initial vision

Work collaboratively and iteratively and define an approach for continuous implementation and continuous communications throughout the programme.

Principle #4: The Technology Backplane is Key

The information management and infrastructure capabilities needed to migrate from legacy environments and move to future state implementations should be brought “out front” on every project

Principle #5: Investigate & Fix DQ Problems Early

More times than not data issue identified late in testing have caused project delays through an 11th hour “fire fight”. Start with data profiling to identify high risk areas in the early stages of the project.

Principle #6: Align Data-Focused Projects into an Overall Programme

Migration capabilities are not primarily about the design of data in databases or focused on the movement of data in OLTP transactions – it also involved data for analytical purposes – align these programmes.

Principle #7: Use Standards to Reduce Complexity

One of the most important things than can be done is to develop a set of open and common standards related to data, integration and infrastructure.

Principle #8: Build a Metadata-Driven Solution

Metadata is pervasive across through data migration environment and is the key to reducing complexity and promoting reusability across infrastructure. Vendor solutions in this space are now finally coming together as applications, information management and integration tools now become “metadata aware”.

Principle #9: Move to a Organisational Model focused on Information Development

Build an Information Management Organisation that is structured in the most efficient manner to deliver solutions for the business.

Principle #10: Use a detailed, method-based approach

The MIKE2.0 Methodology provides an open source approach for Information Development. The nature of the open source approach allows it be used with any other method, architecture or technology.