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Advisory Services
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Advisory Services
Our extensive experience allows us to provide advisory services that maximize the success of the clients BI/DW project. We will assess the viability of your project regardless of where it is in the project lifecycle. We then recommend improvements, take corrective actions if called for. In the long-run, help maximize the success of your BI/DW projects. The advisory services are primarily business focused and technology agnostic.
Our Advisory Services include:
BI / DW Readiness Assessment
The Readiness Assessment approach examines the following critical areas:
- Business Needs Assessment
- Organisational Assessment
- Information Architecture Assessment
- Technical Architecture Assessment
- Project Planning and Methodology Assessment
BI and DW Project Assessment
Our BI/DW assessment will examine the project along the following dimensions:
- Business / Organisation / IT
- Project Plan
- Integration/ Processes / Quality
- Data / Metadata
- Deliverables
Fitness-to-purpose Evaluation
Identify the right technology tools to meet the business challenges keeping TCO at acceptable levels over a period of time, including
- Data capturing tools
- Data cleansing tools
- Data Consolidation tools
- Data storage tools
- Information dissemination tools
- Hardware Infrastructure
Solution Architecture
Plan and Design a technical architecture
- Aligned to the business needs
- Scalable for future needs
- Scalable across various functions within the enterprise
- Scalable across multiple entities within the group
- Easily Maintainable
Data Quality Assessment
This service is aimed towards
- Identifying key business rules within the assigned scope,
- Identifying current data quality issues
- Recommend an implementation strategy
BI System / Project Audit
Some of the questions/ queries that may get answered are:
- Is the business getting the most from your BI investment
- The business has changed since the BI solution was implemented
- The current solution is not giving the right information at the right time
- Poor data quality is undermining business confidence in the BI output
- Make the BI solution available to a broader audience and understand what changes are required to be made.
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