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Business Intelligence

Business Intelligence. Advantages & Risks. Business Intelligence (BI) Systems are focused on evaluating large quantities of data so conclusions are easily understood and tools are interactive. Enterprise Resource Planning (ERP) Systems vs. BI. Business Intelligence.

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Business Intelligence

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  1. Business Intelligence Advantages & Risks

  2. Business Intelligence (BI) Systems are focused on evaluating large quantities of data so conclusions are easily understood and tools are interactive. Enterprise Resource Planning (ERP) Systems vs. BI Business Intelligence

  3. Makes large data comprehendible • Allows end users to run reports without relying on their IT department • Monitors events in real-time • Provides predictive models • Analytical comparisons based on past events and real-time events • Offers visual interpretations of data BI Functions

  4. Get detailed descriptions of clients and customers’ combined with industry-specific events in order to predict demand • Assess catastrophic events using predictive modeling • Monitor productivity to pinpoint processing efficiencies • Identify business trends • Make business decisions based on past and real-time events Advantages & Outcomes

  5. Information from data warehouses is manipulated by various software applications and presented to end users through dashboards, or in spreadsheets, and various other forms. Software as a Service (SaaS) can be used as an alternative to building a data warehouse. This web-based, on-demand service is an option for small and mid-size businesses. Open source extract, transform, and load (ETL) applications so data modeling can be completed in-house. How is this done?

  6. Oracle • Oracle Essbase, OLAP • Business Intelligence Publisher, interactive dashboard • Scorecard and Strategy Management Microsoft • SQL Server • Data Integration BI Tools

  7. Datawatch • Monarch Professional, evaluate, organize, and integrate structured + unstructured data Open Source BI Tools

  8. Data Analytics in Use

  9. Data Analytics in Use

  10. What types of tools does the company need in order to meet their end goals? • Which tools can they afford? • Do they have a data warehouse? If not, is it feasible to build one? Implementation of BI

  11. Loss of data integrity during implementation, creation of data warehouses • Ethical issues not yet addressed by regulations • Profiling: Behavior, interests, habits • Inadvertently disclosing confidential information • Re-identification • Compliance/Regulations • Google • Re: ISACA, COBIT, examples • Cost/Benefit Risks

  12. Ethical Issues – Have clear ‘Terms & Conditions’ • Re-identification - Substitute identifiable information, such as customer name with a customer number • Implementation risks to data integrity – Outline a solid plan for implementation and have tests & checks along the way to ensure integrity • Compliance/Regulations – Be aware of the data your BI tools are gathering and storing. Make sure that keeping this information is legal. • Cost/Benefit – Is the payoff for your company size and industry type essential or worth it? You can pay for on-demand services before deciding to undertake larger projects Mitigating Risks

  13. Residual Risks

  14. http://www.zdnet.com/4-forces-changing-the-face-of-business-intelligence-7000013950/http://www.zdnet.com/4-forces-changing-the-face-of-business-intelligence-7000013950/ http://www.oracle.com/us/solutions/business-analytics/business-intelligence/foundation-suite/overview/index.html Sources

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