Business Intelligence Susan Doniz Firka Associate Director Business Intelligence Procter & Gamble.

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Presentation transcript:

Business Intelligence Susan Doniz Firka Associate Director Business Intelligence Procter & Gamble

Agenda What is BI? Why BI? How is BI being used in industries? Where are the challenges? Q&A

What is Business Intelligence? DATAKNOWLEDGEACTION

How does it work? ExecutiveExecutive Causal Measures of KPIs Strategies & Best Practises Key Performance Indicators (KPIs) Seamless link Ad Hoc Objectives Transactional Reporting Seamless link OperationalOperational Detect Explain

Prework required Streamlined Processes Timely & Complete Info. Simple & Intuitive Tools Intelligence Engines

Simple & Intuitive Tools Dashboards Provide “One-Stop Shopping” to deliver key information to decision-makers Simple Graphical interface to flag issues & opportunities Role-based information and modules Eliminate information clutter by eliminating “in-control” data

Information week 2006

Why invest in BI? Bottomline 81% Executives 2 state that timely, high quality easy to access data would increase profits 23% of companies use causal models 1: Of those Return on Equity and Assets are 5 & 3% more respectively of those that do not use causal models 1 Harvard Business Review Survey 2 CIO Insight

Predictive Business Management “Rear-View Mirror” Driving “Windshield- View” Driving “Jedi-like” Driving (React before it Happens Hurricane Prediction “A hurricane just hit..” …circa 1900 “We predict a hurricane will hit the North Carolina coast in 48 to 72 hours.” … circa 1965 “We predict that 10 hurricanes will hit the Atlantic coast next year. Here are the approx. dates and strengths for each.” … circa 2004 Business Mgmt Explain React Predict Reporting What Happened? Focus on Key Business Drivers Predict the Future & Act

Predictive Business Management “Rear-View Mirror” Driving “Windshield- View” Driving “Jedi-like” Driving (React before it Happens Hurricane Prediction “A hurricane just hit..” …circa 1900 “We predict a hurricane will hit the North Carolina coast in 48 to 72 hours.” … circa 1965 “We predict that 10 hurricanes will hit the Atlantic coast next year. Here are the approx. dates and strengths for each.” … circa 2004 Business Mgmt “We missed our forecast due to a $20MM hit from FPLC.” “Looking at our initiative pipeline, we do not have sufficient volume to meet our FY05/06 profit goals.” “We can act and respond proactively to events because we see indications of what will happen next year.” Explain React Predict Reporting What Happened? Focus on Key Business Drivers Predict the Future & Act

Benefits Power user community freed up … … from the mundane and enabled to leverage their intellect and experience in discovering knowledge and solid strategies. Power user community freed up … … from the mundane and enabled to leverage their intellect and experience in discovering knowledge and solid strategies. Corporate IQ grows … …as intelligence building ways are captured and propagated across company and knowledge is preserved Corporate IQ grows … …as intelligence building ways are captured and propagated across company and knowledge is preserved Decision makers attention gets focused … … on the few areas where the biggest problem or opportunity exists despite of the future “raw” data complexity explosion Decision makers attention gets focused … … on the few areas where the biggest problem or opportunity exists despite of the future “raw” data complexity explosion

How Business use BI scorecards Information week 2006

Example: Scorecards

Key Business Drivers Dashboard Example 1. Executive looks at OGSM measures on their Cockpit in portal OGSM Measures Volume 107 NOS +3% Share 35 Profit +6% TSR +18% Position +3% EPS $3.91 ! ! Details Details 2. Double-click on profit shows that Realization/SU is the issue Realization/$ Volume Realization/SU GBU Profit Drivers 3. Double-click on Real/SU shows the control chart.

Ease of Use/Skill Development Critical to define the ‘WHO’ : Prime Prospect User Use of KPIs

Data Quality Start with KPIs Amount of data/standardization of data High Level endorsement of Single version of the truth and Reward systems Garbage in = Garbage out

Challenge : ROI

Who are the leaders in the BI space?

Questions?