Open Framework, Information Management Strategy & Collaborative Governance | Data & Social Methodology - MIKE2.0 Methodology
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Prepare for Data Re-Engineering Deliverable Template

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This article is a stub. It is currently undergoing major changes as it is in the very early stages of development and is only a placeholder. Please help improve MIKE2.0 by adding to this article.
This deliverable template is used to describe a sample of the MIKE2.0 Methodology (typically at a task level). More templates are now being added to MIKE2.0 as this has been a frequently requested aspect of the methodology. Contributors are strongly encouraged to assist in this effort.
Deliverable templates are illustrative as opposed to fully representative. Please help add examples to this template that are representative of the proposed output.

In the Prepare for Data Re-Engineering task, the team prepares for Data Re-Engineering by ensuring that at least high level information requirements have been established, data extracts are available and the software development environment is ready. Data Profiling is typically a pre-requisite to this task, as it helps to quantitatively understand the data quality issues that exist beforehand and plan appropriately. Generally the same process for acquiring extracts for can be followed for Data Investigation


Preparing for Data Re-Engineering


In this activity, results are reviewed from Data Investigation, priority data sets are identified and the high level requirements are reviewed. The identification of data quality issues is typically the output of a data profiling exercise, which has quantitatively identified the key data quality issues.


Key Steps in the Process

Step 1 – Review Results from Data Investigation Recommendations
Objective: In this task, the results of the Data Quality analysis work are reviewed in preparation for Data Re-engineering.
Input: Completion of Data Investigation
Go-Ahead on Data Re-Engineering project
Process: Review Detailed and Summary Data Quality Report findings
Output: Any issue with Data Quality Report Findings
Step 2 - Provide Extract Requirements
Objective: Identification of source extract files that will be moved to the staging area for Data Re-Engineering.
Input: Scope for Data Re-Engineering
Process: Refer to Data Investigation Process on Data Sourcing
Output: Extract Files loaded into staging environment


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