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Business Intelligence Strategy. Paul Hawking SAP Mentor Victoria University. SAP University Alliance Program (UAP). Background. University. SAP. SAP User Group. SAP Academic Program Director Research Industry Reports Best selling author ERP Systems and Business Intelligence
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SAP University Alliance Program (UAP)
1. Likely to seek and measure tangible benefits, such as reduced cost and increased revenue.
2. Emphasis on integrating, optimizing and using analytics to drive improved business performance.
3.Extend systems throughout their organization and implement across a range of functions.
5.Aggressively use information and analytics to improve decision making.
Implement strategy through process, then continuously improve process effectiveness and efficiency
Non aligned strategy with corporate strategy
Incomplete information with limited ability to drill down to support detail
Poorly integrated processes with areas of duplication and inefficiency
Limited flexibility, absence of consistent data management
Different definitions used across the business
Complex transformations of non standard source data
Reliance on Excel and manual processes to produce data
Time spent on validation and reconciliation rather analysis
Multiple point solutions with minimal integration
Where are we now?ASUG Business Intelligence Maturity Model
Measuring BI Success and Value (McDonald 2004)
Create a formal, continuous process for measuring success and value generated
Identify and measure results of each project phase
Establish realistic goals and expectations based on capability / maturity
Overall Success of the BI Initiative
Assuming you need a BI strategy, or to update an existing one, there are five key areas of consideration:
BI Roadmap for use as a start-up to a BI strategy implementation project.
Stakeholder Management – getting the right people involved at the right level.
Architectural Blueprint – how the BI estate will look and operate.
Capability Improvement – what needs upgrading, re-developing or decommissioning
Implementation Planning – how to approach implementing the roadmap to take you from here to there.
No Business Sponsor, IT executive in charge
Limited Users – mainly managers and executives
Data Inconsistency and stove-piped systems
Get funding for finance related BI initiatives from senior executives
Define metrics to analyze specific departmental or functional performances
Find out requirements for dashboards
Establish a balanced portfolio of standards
Business objectives drive BI and performance management systems
Deploy an Enterprise metrics framework
Governance policies are defined and enforced
Look to extend the BI application to supplies, customers and business partners
Determine how to use BI to support evolving business objectives and strategy
BICC should look at integrating BI Analytics with the business processes
Funding from business units on a project-by-project basis
Specific set of users is realizing value
Successful focus on a specific business need
Increase BI initiative scope across multiple departments
Find BI investment and commitment for non-financial data such as sales and product
Look for integrating the data and consolidate disparate analytic applications
Create an enterprise wide metrics framework
Use of BI is extended to suppliers and customers
Analytics are inserted into and around the business processes
Information is trusted across the company
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