Getting a Return On Intelligence

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New Zealand Oracle Users Group Conference

Getting a

Return On Intelligence

Chris Lines

Eagle Technology Group Limited

February 2003

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Presentation Information (Hidden Slide)

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Author: Chris Lines

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Company: Eagle Technology Group Ltd

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Contributor(s):, John Kreisa

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Presentation title:

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Getting a Return On Intelligence

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Presentation abstract:

Dashboards and management cockpits are on the top of the executive agenda as senior executives struggle to answer the question, "How is my business doing today?"

Enterprise Performance Management (EPM) is a strategic use of BI to measure and monitor business performance from the executive level down to the line level, and horizontally across the business using best practice business me thodologies. In this session learn more about the performance management, current bus iness drivers, and how Business Objects analytics provides the engine to enhance corporate

performance.

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Agenda

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Top business challenges in 2003

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Enterprise Performance Management

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The Business Objects Solution

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Conclusion and Q & A

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Getting a ROI

“How is my business doing today ?”

If you were to ask the question

Would you expect a sensible answer ?

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Too Much Data, Too Little Insight

“The typical big company now owns some 400

applications, few of which were designed to share

information with each other….”

“Analyze This” Forbes

April 1, 2002

Information overload continues to be a huge issue for organizations of all sizes. This starts at the application level and works its way up. Large companies have 400+ applications and none of them were ever designed to share information – not with the end user, not with each other.

New Zealand owns approx. 73 Applications

We begin to see why EAI has become such an important technology set

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Too Much Data, Too Little Insight

“…Every nine months the amount of data doubles

as they store records about customers, inventory

and employees – and most of that data goes to

waste….”

“Analyze This” Forbes

April 1, 2002

The amount of data an enterprise generates doubles in less than a year. Data in all departments: sales, marketing, supply chain management, logistics, goes to waste. This is the enterprises collective intelligence –

‘locked away’

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Too Much Data, Too Little Insight

“…IBM figures companies use less than 1% of

their data for analysis.”

“Analyze This” Forbes

April 1, 2002

Worse, there is no ability to analyze what is important. There is no ability and no time to get the insight required.

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The Cost

“Enterprise employees may lose as many as

three hours per day on often futile information

hunts, causing the top 1,000 U.S. companies to

lose $2.5 billion annually.”

“Capturing Enterprise Expertise”

Basex, April 2002

Fortune 1000 companies will waste $7.5 billion

this year due to difficulty in accessing

information.

IDC, 2002

Information overload has a huge cost to business. Decision makers spend all of their time trying to find information, only to come up empty, frustrated and further behind.

Think of the productivity that could be gained if there is was proactive way to deal with information. How much better would your organization perform? What would be the business impact if each person in the organization could pick up just one more hour per day?

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Who Owns The Problem?

“People like to say ‘management made me do

it.’ (in reality) We are all management.”

Jim Kilts - Chairman and

CEO Gillette. Fortune

January 2003

This is a quote from Jim Kilts, CEO of Gillette, a packaged goods leader known best for health and beauty products including the razors that most people use. He is in the process of driving Gillette through world wide reorganization to restore fiscal health and profitability in the business.

His point here is that everyone owns the problem of delivering f or customers, solving problems and driving results. There is no excuse for not being on track, not performing, and not having all activities supporting the goals and objectives of the business. Everyone has their key metrics, responsibilities and role in the organization. Everyone needs to deliver results

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The State of BI Affairs

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Typically, organizations have a

multitude of non-integrated

business systems

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Each system has its own

unique view of the business

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The picture gets even more

complex as companies grow,

merge, and acquire

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The result:

A patchwork of BI systems

The BI Patchwork

The BI patchwork

As BI rises in strategic importance, organizations find themselves needing to standardize across all departments. When inspecting their existing BI investments they find a patchwork of BI implemented across the organization.

In many cases, they will have Brio in one department, Cognos in another department and Business Objects in a third. This creates a disintegrated view of the business and means that each department has their own unique view of the data. From a business perspective this means that cross departmental meetings and decisions are bogged down by data accuracy conversations instead of accelerated by driving the business forward against one version of the truth, or one consistent definition of the data.

As companies grow, this situation becomes even more complex, and customers continue to find a patchwork of BI solutions across their organization.

Anecdotes

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Value of Enterprise Analytic Applications

The BI Patchwork

Common BI Framework Enterprise Analytic Applications

Insight h

Attain deeper

business insight

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Create a more

collaborative

work environment

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Achieve a 360° view

of the business

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Deliver greater

business value faster

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One version of the truth

Enterprise Analytic Applications are just that… enterprise in scope. With the enterprise analytic applications you gain insight not only into one department but across the entire organization.

Analogy

Business problems are rarely departmental in scope. For instance a revenue problem may span multiple departments from sales, to product marketing, to manufacturing, to shipping, and to finance even HR. So to solve that problem, users need analytic applications that span the whole chain of interdependencies. As a result, they would get a 360 degree view of the business and would be able to make decisions in collaboration with other departments.

The most important benefits one receives with enterprise analytic applications are the standardization of the capabilities across the user base and the ability to drive decisions against one version of the truth, one definition of a SKU, a customer, a supplier, revenue, margin etc. This way the organizations spends 100% of the time making decisions as oppose to debating data validity.

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Aligning Business, Technology and Return

“IT Trends 2003” Keith Gile ,

Giga Research, December 2002

“As companies attempt to leverage the investments

made in customer relationship management (CRM),

supply chain management (SCM), and enterprise

resource planning systems(ERP), the need for an

integration mechanism becomes as important as the

analytics.”

Critical to driving performance in getting all the investments in technology to pay for themselves and show more return for the business. That means two things:

1. All the big enterprise applications – ERP, CRM, SCM need to be wrapped in a way that information can captured, digested, and shared to drive better performance. There has to be a way to integrate.

2. Analytics are required to make sense of not just data moving and activity happening, but to understand why and deliver better insight.

Success in tackling this problem will enable you to better address your top business challenges and drive better performance across departments, business units, teams and the entire enterprise

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The Top Business Challenges in 2003

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Delivery for key customers

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Drive cost out of the business

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Connect strategic goals to actual performance

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Align business operations with IT

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Leverage existing infrastructure

Let’s take a look at the top business challenges for 2003 – discussion on each Delivery

-On time -As requested Cost

-Supplier costs

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Agenda

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Top business challenges in 2003

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Enterprise Performance Management

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The Business Objects Solution

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Conclusion and Q & A

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Enterprise Performance Management (EPM)

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Defined: The application of BI, metrics, and

methodologies to improve enterprise performance

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Why now?

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Downturn driving focus on operational dashboards

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Need for increased financial transparency and control

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Plethora of corporate self-help methodologies

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Acceptance of balanced scorecard concepts

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Desire to see real return on ERP/CRM investments

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Enabling infrastructure in place (DW, ERP/CRM)

Definition – BI, metrics, and methodology to improve performance.

Note that they should be able to use their budget or forecasting system, EPM systems should be agnostic. This about performance across the enterprise – all roles, all levels, executive level to line level and horizontally across departments. (not just finance).

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EPM Process Benefits

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Monitor

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Track the business automatically

q Against a basket of critical questions

q Through the customer life cycle

q Over time h

Interpret

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Easily interpret business status

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Measure the impact over time

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Act

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Automate appropriate action

q When the business changes

Incorporating business process and workflow, users want to…

Automating

The Analysis

Process

Analytic applications:

•Monitor and deliver domain-specific, and often industry-specific intelligence. Manufacturer Building Products might want to monitor What’s On intelligence ie Building Permit applications from various councils within a region simply as a benchmark for growth or a District Health Board may wish to monitor drug usage or uptake from the likes of Pharmac.

•Are designed to answer strategic business questions that often require interpretation of trend histories

•Serves up relevant information to users what they want, how they want, and when they need it the most, allowing them to take the appropriate action or make the best business decision.

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Requirements for Performance Management

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Close the loop between strategy & execution

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Connect goals to metrics to owners

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Move from metrics management to rapid action

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Increase speed & access to critical data

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Right time vs. real time

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Executive level to line level

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Analysis of impact

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Insight into business activity and projected results

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Trend monitoring and and root-cause analysis

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Rapid return

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Integrate existing hardware, software, systems

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Show ROI in months

Success in meeting the business challenges requires a strategic approach to performance management

You have to close the loop between strategy and execution by connecting goals to metrics to owners

Increase business velocity by getting the right information to the right people at the right time, across the organization. From the executive level to the line level, and horizontally across all departments, everyone needs access

Provide analysis of impact to understand not just what happened, but why. Manage to exceptions at the executive level, with the capability to drill down and understand the root cause and fix the problem

And it has to show rapid return. The requirement is to leverage the systems already in place to get dashboards up rapidly, show business return and then provide analytics depth. The ROI needs to show immediately.

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EPM Process Flow

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EPM is a process

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Strategies produce goals

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Goals drive metrics

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Goals and metrics have

owners

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Analyze exceptions & impact

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Decide what to do

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Set new goals

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Take action

Process drives performance across the enterprise

Enterprise performance management is a process (not a product) t o optimize and improve results across the organization. We help drive the process across departments and up and down thru the organization.

Strategies drive goals (To achieve our target, we need to launch a new product and improve sales performance by 10% vs. last year)

Goals drive metrics (To achieve our sales target, we need the northern region to improve 5% quarter on quarter and the southern region 8% quarter on quarter…We need consistent 80% line capability to meet our efficiency target)

Goals and metrics have owners: (Sales person productivity of X, 90% satisfaction on all customer calls to the call center) Need to analyze exceptions: If sales falls below a target, or a supplier fails to ship, everyone gets alerted

Make decisions: Rapidly understand what is happening and why, t o drive new decisions (change supplier, start new marketing campaign, offer a specific discount a product, etc)

Take action: Resetting thegoals in the process

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Step 1 – Mapping Goals, Metrics and Owners

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Performance metrics

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Key performance metrics vs. all performance metrics

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Audience rolls and information requirements

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Dashboards for executives

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Advanced analytics for power users

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Interactive reports

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Consistent with methodology

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Selection and connection of metrics

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Conforms to methodology

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BSC, Six Sigma, EVA, etc

Personalized delivery of metrics to proactively manage and

optimize business delivery

The first step is to decide what metrics are important and attach them to goals. Methodology plays a roll here, but it starts with what are the key performance indicators that should have priority.

It is also critical to understand audience and user requirements. Executives may only need a dashboard while other users may need more advanced analytics.

The roll of methodology is important to determine these requirements. Dashboards and scorecards should be consistent with performance methodology from the top of the corporate level on down.

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Metrics To Monitor And Manage

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Dashboards & Scorecards

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Key performance indicators (KPI)

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Stop-lights, speedometers, graphics, charts

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Reports

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Alerts & updates

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Interactive and drillable reports

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Historical perspective

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Actual to target

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Historical insight

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Proactive & predictive management

Proactive access to key indicators

Once KPIs are determined, IT can configure graphics configurations and displays for end users

They can also determine what reports and alerts are required and who has access.

Some users may be allowed the ability to drill in and get more information, especially if they are already users of a specific reporting and analysis tool such as Business Objects.

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Step 2 – Managing the Metrics

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Dashboards and Scorecards

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Customized by user community

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Monitor and visualize

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Charts, graphs, histograms

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Predictive capability

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Time -series analysis

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Centralized IT control

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Catalogs of key metrics

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Centralized user management, security, activity

Personalized delivery of metrics to optimize organization

performance

Once the set up work is done, dashboards and scorecards are ready to go live. They should be capable of being customized by role, department and level in the organization, as well as by how the information is to be used.

IT need to be able to maintain centralized control of metrics through a cataloguing capability – to maintain one version of the truth. Most importantly they should be able to control who has access, making sure that it is consistent with internal security requirements. They should also be able to monitor activity over to time to understand user needs.

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Step 3 – Driving Analysis

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Analyze exceptions

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Determine cause

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Root cause & historical

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Examine impact

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Week, month, year

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Plan vs. actual

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Assess alternatives

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Dynamic, flexible, iterative process

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Individuals and groups

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Shared insight across teams

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Provide annotation and feedback

Insight and context to make decisions

With dashboards, management can analyze by exception to make faster decisions and take immediate action.

Business managers can drill in to the problem to understand what is happening and to look at impact. Alerts and analysis capability needs to be available across the business so that teams can share information with each other, track progress and drive results.

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Analysis - Understanding Impact

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Enterprise analytic applications

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Robust package analytics to deliver insight

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Customer behavior, revenue cycle, inventory turns,

workforce management

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Custom analytic development

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Flexible tools, set to business definitions

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“Use Customer X requirements to determine delivery in full”

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Reporting and distribution

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Drill down to provide root-cause analysis

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Custom report generation for business users

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Dynamic report generation and publishing

Understanding not just what happened, but why

Analysis means more than dashboards, it means advanced analytics. These may be custom designed or may come as a part of analytics that incorporate best practice methodologies such as Six Sigma, BCG, SCOR and others – these methodologies will be available for all major areas of the business – from customer behavior analysis through supply chain.

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Step 4 – One Truth From All Data

Sales Mkt. Ops Fin HR SCM

Source Data/Systems

Data from all source systems provides a single management view

With custom dashboards and analytics for all departments

In order to drive management of all operations, it is is critical to have direct access to all the systems holding key data. With access to all data, management dashboards and cockpits show one-truth across the business and make sure that metrics only have a single definition. Executives and line level managers see what they need to see, when they need to see it, regardless of infrastructure requirements.

This also allows for custom dashboards across departments and functional areas. The sales dashboard should be able to focus on sales force productivity and metrics, while supply management would keep track of line efficiency and performance of key suppliers.

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Do I need to adjust my build plans to supplier delivery dates?

Planner

Which products are selling best in the western region?

Sales Manager

Are we achieving our EPS targets?

CFO

Right Information, Right Time

Daily information to drive improved management at all levels

That means the right information, gets to the right people, at the right time.

The logistics planner can see sales of a particular product down to region or store level and make sure that her supply operations are in sync with demand requirements and actual sales.

The sales manager can manage product mix, margin, and understand the numbers to make quarterly performance objectives.

The CFO or Chief Operating Officer can get a roll-up of metrics across the business to understand revenue, expense, activity to determine if he is on target to hit his earnings per share target.

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Agenda

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Top business challenges in 2003

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Enterprise Performance Management

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The Business Objects Solution

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Q & A

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EPM from Business Objects

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Track business performance

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Custom analytic dashboards

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Monitoring and management of metrics

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Enterprise -wide, executive level to line level

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Understand impact

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Avoid surprises, manage exceptions, monitor trends

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Leverage relationships

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Manage improved performance

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Drive proactive and predictive decisions

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Collaborate to manage cost and improve efficiency

A process to drive improve organizational performance

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End-to-End BI Platform for EPM

Data Integration Platform Query

Reporting

&

Analysis

Analytic Application Framework Portal, Dashboards, Scorecards, Alerting

Enterprise Warehouse Customer

Intellgce Product Intellgce

Supply Chain Intellgce

HR Intellgce

Custom Data Mart

Custom

BI Framework

Finance Intellgce

• Dashboards

and scorecards

• Advanced

analytic

applications

• Query,

reporting and

analysis

• Enterprise data

model

• Best-of-breed

data integration

A complete offering

This is a vision of what Business Objects product line-up looks like now. It is a best of breed stack that is a complete offering. When discussing this with a business audience, the key point is that we have a comprehensive offering. We can provide as much or as little as they need now to show results. More importantly, we can grow with them to address the needs of EPM across departments with deep analytic capability.

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Enterprise Data Model

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BusinessObjects Analytics enterprise data model

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One truth across the enterprise

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Meets business analysis requirements

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Easy to load, maintain, and query

SAP

Oracle

DW DW DW

Siebel

Enterprise

Data

Model

Home Grown

& Legacy

The BusinessObjects Analytics enterprise data model provides

•One truth across the enterprise

•Meets business analysis requirements

•Is Easy to load, maintain, and query

The enterprise data model collects and consolidate data from multiple operational, data marts, and legacy applications into one integrated enterprise schema to drive all your analytic needs.

NOTE: Please download and read the BusinessObjects Analytics, One Version of the Truth with the Enterprise Data Modelwhite paper and accompanying Q&A from:

http://www.corpmarketing.businessobjects.com/applications/sales_tools.htm

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BusinessObjects Data Integrator

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World’s first real-time and

batch data integration tool

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Easy, powerful, and

enterprise class

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Simplifies and accelerates

data movement and data

sharing

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Over 40 application,

mainframe, database, and

technology Interfaces

Access, integrate, and deliver data across the enterprise

Accessing and integrating data from disparate sources can be a lengthy process and account for more than 50% of the cost of a data warehouse or analytic application project. That time and cost can be dramatically reduced with BusinessObjects Data Integrator, helping businesses rapidly transform data into a corporate asset.

Data Integrator is the industry's first real-time and batch ETL tool designed to simplify and speed data movement and sharing across the enterprise.

Data Integrator can easily be used to populate the BusinessObjects Analytics enterprise data model.

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End-to-End BI Platform for EPM

Reporting

&

Analysis

HR Intellgce

Custom

BI Framework

• Dashboards

and scorecards

• Advanced

analytic

applications

• Query,

reporting and

analysis

• Enterprise data

model

• Best-of-breed

data integration

A complete offering

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What is in an Enterprise Analytic Application?

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Provides

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Expertise in analysis and presentation

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Expertise in a business domain or function

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Rapid ROI – up and running quickly

h

Contains

i

Pre-built analytics

qAnalysis technique that answers specific business questions

i

Pre-built metrics

qSimple to complex key performance indicators i

Pre-built enterprise data model

qSingle data model for insight across the business

qBusiness ready, easy to load, maintain, and query

Product designed to solve specific business problems

So what is an enterprise analytic application.

It is product designed to solve a specific business problem.

•It provides expertise in analysis and presentation. The analytics, the metrics, the reports are presented in a manner that answers questions business users have.

•It provides expertise in a business domain or function and is aw are of the key performance indicators business users need to track in a given function.

•It also provides a rapid return on investment and an ability to deploy quickly to end users.

An enterprise analytic application contains:

•Pre-built analytics: which are analysis techniques that answer specific business questions

•Pre-built metrics: from simple to complex Key Performance indicators can be tracked

•Pre-built enterprise data model that provides a single schema to drive one version of the truth across the organization. It is easy to load, maintain and query, and is business ready!

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BusinessObjects Analytics Components

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Instant visibility into most important KPIs

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Enterprise analytic dashboards

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Logical structure

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Subject organization

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Analytic categorization

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Advanced analysis

i

Analytic engines

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Analytic techniques

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Ease of use and learning

i

Analytic Encyclopedia

h

Enterprise scope analysis

i

Enterprise data model

Rich analytic capabilities and ease of use

The BusinessObjects Analytics components are comprised of:

•Enterprise Analytic Dashboards for instant visibility into the most important KPIs

•An easy to use logical structure with applications categorized in subject areas.

•Analytic engines and techniques for advanced analysis above and beyond what you can achieve ordinary BI tools

•An Analytic Encyclopedia for ease of use, learning, and guided analysis

•An enterprise data model to drive enterprise scope analysis and one version of the truth.

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Enterprise Scope Analysis

Sales have dropped, inventory is up…

List Generation Who are these customers?

Sales Analytics What caused sales to drop?

Customer Analytics Which customers are buying less?

Product Performance Analytics

Which products are they buying less of?

Deliver Analytics Is this the cause of inventory surplus?

Campaign Analytics What’s the best way to target former buyers of these products?

Let’s look at what Enterprise Scope Analysis is:

Consider this business problem: Sales have dropped and inventory is up.

With the BusinessObjects Analytics suite of integrated enterprise analytic applications you can perform an analysis that spans the organization.

For instance to solve our business problem we begin our analysis…

•First, using Sales Analytics, we inspect what is causing sales to drop and discover it is due to customers buying less.

•Then we use Customer Analytics to understand what customers are buying less and then better understand their profile

•We can then use Product Analytics to understand what products they are buying less of.

•We can also use Deliver Analytics to understand if customers are returning products and if so why are they being returned and is that affecting inventory.

•With this customer information we can identify what campaigns may work best to try to inject more revenue into the organization.

•Once we identify what campaign to use we simply press a button and output what customers want to target, then execute the campaign and revisit the Sales Analytics module.

Essentially, you have a 360 degree view of your business with BusinessObjects Analytics… an enterprise scope analysis.

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BusinessObjects Application Foundation

h

Deliver integrated enterprise analytic applications

i Scalable architecture

i Rapid deployment

i Extranet ready

h

Gain deeper business insight with integrated analytic services

i Segmentation

i Metrics

i Rules & alerts

i Predictive analysis

i Statistical process control

h

Empower users with actionable analysis

i Dashboards

i Personalized interfaces

i Alerts

The framework for building and deploying analytic applications

BusinessObjects Analytics is the product our customers use to building and deploying analytic applications.

With Application Foundation you can:

Deliver integrated enterprise analytic applications Gain deeper insight with integrated analytic applications And empower end users with actionable dashboards.

Note to presenter: For more detailed slides on Application Foundation please visit the following internal web site: http://www.corpmarketing.businessobjects.com/applications/app_foundation/

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Advanced Analysis

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Segmentation

i

Set-based analysis and segmentation

h

Metrics

i

Time series analysis of KPIs

h

Business rules and alerts

i

Monitor change by defining business rules

h

Predictive analysis

i

Anticipate future outcomes

h

Statistical processing control

i

Automate quality tracking and alerting

Integrated analytic engines

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Analytic Techniques

Gains & Losses Switching Quadrants

BCG Matrices

KPI Dashboards

Consistent re-use of techniques makes learning easier

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Analytic Encyclopedia

Glossary Overview

Guided

Analysis

Search

Engine

Feedback

h

A business explanation

for each analytic

h

Glossary definition of key

terms and metrics

h

Enterprise search engine

h

Explore the potential for

guided analysis

h

Interactive feedback

h

NEW! Metadata mapping

Ease of use and learning

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End-to-End BI Platform for EPM

Reporting

&

Analysis

HR Intellgce

Custom

BI Framework

• Dashboards

and scorecards

• Advanced

analytic

applications

• Query,

reporting and

analysis

• Enterprise data

model

• Best-of-breed

data integration

A complete offering

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BusinessObjects Analytics

Available Now

Sales Analytics

Campaign Analytics Customer Analytics

Contact Center Analytics

Source Analytics

Make Analytics

Deliver Analytics

Revenue Cycle Analytics

Return Analytics

Plan Analytics Product

Performance Analytics

Workforce Analytics Product

Management Analytics

Operations Intelligence Supply Chain

Intelligence Product

and Service Intelligence Customer

Intelligence

h

Pre-built analytics

and metrics

h

Cross-module

guided analysis

h

Enterprise data

model

Applications

Modules

BusinessObjects Analytics

The BusinessObjects Analytics suite of integrated enterprise analytic applications consists of four applications.

Customer Intelligence

Product and Service Intelligence Supply Chain Intelligence And Operations intelligence

Together they offer pre-built metrics and analytics to answer specific business questions that are departmental or enterprise in nature. They provide cross-module guided analysis and drive one version of the truth with the Enterprise Data Model which we will discuss later in this presentation.

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Customer Intelligence

h

Sales Analytics

i

Optimize sales force, revenue,

and pipeline performance

h

Customer Analytics

i

Understand and optimize

customer lifetime value

h

Campaign Analytics

i

Analyze and maximize campaign performance

h

Contact Center Analytics

i

Maximize call center efficiency

Helps sales, marketing, and contact center managers improve

business performance

Customer Intelligence

helps sales, marketing, and contact

center managers improve business performance. It

consists of four application modules:

Sales Analytics, to optimize the sales force, revenue,

and pipeline performance

Customer Intelligence, to u

nderstand and optimize customer lifetime value

Campaign Analytics, to a

nalyze and maximize campaign performance

And Contact Center Analytics, to

maximize call center efficiency

With Customer Intelligence you can track each

touch point your organization has with your

customers and ensure customer satisfaction, and

improved performance across each of these areas.

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Product and Service Intelligence

h

Product Performance Analytics

i

Analyze and optimize your product

profitability and market share

h

Product Management Analytics

i

Optimize price and promotions to

increase cross-sell and up-sell opportunities

Helps brand and product marketing managers improve product

performance

Product and Service Intelligence

helps brand and product

marketing managers improve product performance.

It consists of two modules:

Product Performance Analytics, to analyze and

optimize your product profitability and market

share. You can analyze things like your product

portfolio, your market share, and your overall

product contribution margin.

Product Management Analytics is used to optimize

price and promotions to increase cross-sell and up-sell opportunities. How can you better position your products on the shelf to increase the size of the basket? What promotions can you run to enhance product sales?

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Supply Chain Intelligence

h

Plan Analytics

i Balance plan with demand and improve overall supply chain performance

h

Source Analytics

i Analyze the inbound supply chain and optimize procurement

h

Make Analytics

i Analyze operations to optimize manufacturing process efficiency

h

Deliver Analytics

i Analyze the outbound supply chain to optimize fulfillment and delivery

h

Return Analytics

i Manage returns and minimize the return supply chain

Providing complete coverage of SCOR*

* Supply Chain Council Operations Reference-model

BusinessObjects Supply Chain Intelligence is the analytic application that helps organizations ensure products are available in the correct quantity, at the correct location, in the most cost effective manner.

Supply Chain Intelligence provides the pre-defined business metrics and best-practice analytics companies need to gain insight into the supply chain.

Each application module within Supply Chain Intelligence offers powerful, easy-to-use analytics tailored to a specific business area. Business Objects has incorporated the Supply Chain Council’s Supply Chain Operations Reference model (SCOR) into Supply Chain Intelligence. The SCOR methodology provides companies with standard terminology, common metrics, associated benchmarks, and best practices for supply chain management.

Supply Chain Intelligence now consists of five application modules:

Plan Analytics

Balance plan with demand and improve overall supply chain performance Source Analytics

Analyze the inbound supply chain and optimize procurement Make Analytics

Analyze operations to optimize manufacturing process efficiency Deliver Analytics

Analyze the outbound supply chain to optimize fulfillment and delivery Return Analytics

Manage returns and minimize the return supply chain

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Operations Intelligence

h

Revenue Cycle Analytics

i

Accelerate the quote -to-cash process

h

Workforce Analytics

i

Maximize workforce recruiting,

retention,and results

Lets organizations monitor, interpret, and act on critical aspects

of their operations

BusinessObjects Operations Intelligence is part of the Business Objects suite of enterprise analytic applications.

Operations Intelligence helps organizations monitor, interpret, and act on critical financial and HR aspects of their business.

Operations Intelligence provides the pre-defined business metrics and best-practice analytics companies need to gain insight into their revenue cycle and into their human resource processes.

Operations Intelligence consists of two modules:

Revenue Cycle Analytics

Accelerate the quote-to-cash process Workforce Analytics

Maximize workforce recruiting, retention,and results

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Dashboard Examples

Sum up with America’s Cup analogy and couple of anecdotes

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Dashboard Examples

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Dashboard Examples

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Agenda

h

Top business challenges in 2003

h

Enterprise Performance Management

h

Examples of customer success

h

Q & A

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Q & A

h

Presenter Chris Lines

i