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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

-. . . history of intelligence test what is intelligence ? theories of intelligence intelligence tests te performance and culture-fair tests st administration positive aspects

-. how to avoid analysis paralysis and create a competitive advantage. richard vaughn suporn jantastoo rajesh gopalsamy. business 2005: hostile environment. profit pressure vicious competition empowered consumers

Practices of Business Intelligence

-Tamkang university. (data mining for business intelligence). practices of business intelligence. 1022bi05 mi4 wed, 9,10 (16:10-18:00)

Data Mining Business Intelligence

-. . . .

-. budgets, forecasts and business plans. business plans. business plans. need to be employed by anyone who is in business set a strategy for future growth and can be used to attract investors and loans. they arent

-. a business strategy is an integrated set of plans and actions designed to enable the business to gain an advantage over its competitors, and in doing so, to maximize its profits. business

(4) IT Strategy, Business Processes, and ERP IT ?? , ????? ERP

-The networked economy: information management, strategy, and innovation : , , . (4) it strategy, business processes, and erp it

(4) IT Strategy, Business Processes, and ERP IT , ERP

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Business Analytics for Managers – Taking Business Intelligence Beyond reporting

-All the way from strategy to data sources, this book will give you guidance on how to work with data warehouse information. read more at business

The CDW Data Lifecycle – Internals, Data Flows, and Business Intelligence

-. (closet skeletons version) richard pham enterprise architect oit corporate data warehouse architecture richard.. cdw informatics and

Building Enterprise Bussines Intelligence

-. hendro subagyo , m.eng. bi architecture and component . data warehouse business analytics automated decision tools data mining business performance management dashboards visualization tools.

SAP BO Business Intelligence Platform 4.0 Auditing Auditing in BI 4.0

-. confidential . lesson objectives. after completing this lesson, you will be able to: describe what auditing is describe how to configure and troubleshoot auditing

-Intelligence reasoning. your implicit theories of intelligence. 1986 expert definitions adaptation to environment basic mental processes reasoning, problem solving, decision making metacognition .

-. chapter 4. emotional intelligence. daniel goleman (1995) iq scores account for only about 20% of success draws from howard gardners interpersonal intelligence. emotional intelligence. self-awareness ongoing

-. business intelligence. learning outcomes. explain the problem associated with business intelligence. describe the solution to this business problem describe the three common forms of data-mining analysis? compare


-. author. michael e. porter is the c. roland christensen professor of business administration at harvard business school and director, institute for strategy and

Chapter 3 Databases and Data Warehouses Building Business Intelligence

-Chapter 3 databases and data warehouses building business intelligence. presentation overview. business intelligence the relational database model database management

30 critical lessons for global SAP NetWeaver Business Intelligence project teams

-. dr. bjarne berg . what well cover . introduction scoping the sap netweaver bi project getting the project started – project plans execution

-. gavin watson platform ssp: . the it balancing act the challenge of managing value and cost. reduce cost and complexity. deliver business needs. microsoft vision and strategy

Msc in Business Intelligence in Dundee

-Jon reade co-founder, business what ? what is business intelligence? business what ? what is business intelligence? roots in military intelligence business

-E-commerce: impacting the way we do business october 1-2, 2001, nashville tn bob smith associate professor/extension specialist dept. of wood science and forest products virginia tech outline why the internet

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