August 21, 2008
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Methodology

Our methodology has been formulated over many years of implementing business intelligence, Performance Management and Data warehousing solutions. It was developed by the principal Grant Paisley, the current chair of the Sydney SQL Server User Group and an MS MVP for SQL Server with enormous experience in delivering the right results with innovative design across a diverse customer base.

Project Plan

We work with you to clearly understand the key aspects and objectives, both business and technical, of the overall project. We agree on roles and responsibilities and identify key personnel and sponsors. We document this and confirm it prior to commencing work.

Set Up / Preparation

As required, we supply, set up, configure or install. We can advise your IT department on requirements and potential re-use or re-purposing of existing assets.

Data Source Analysis and Design

We take the results of the project plan and research the scope of data at your company. We summarise a proposed solution. We focus the design on responsive end user analysis whilst maintaining flexibility.

Scope of Work

Our report includes best estimates of the overall time to implement the application. Both parties must agree before we proceed to application development.

Application Development and Implementation

Based on our agreed approach, we configure and integrate the various MS tools to deliver the solution. Our data migration is managed to work with your schedules so that you do not have to suffer unnecessary downtime.

Knowledge Transfer

During the implementation, and based on our customers’ resources, we train staff in maintenance and ongoing application development.

User Acceptance Testing and Sign Off

We are focused on delivering a solution for the business users, so we obviously encourage feedback and UAT (based on scope) near completion of our project. Both user representatives sign-off on the project.

Integrate the services

We ensure all your applications are integrated to support your business processes, sharing and re-using data as required.
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