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Business Intelligence with The Vanguard System™

The Vanguard System™ and Business Intelligence (BI) Systems are both forms of Business Analytics. However, they differ in that BI systems use statistical analysis to monitor past performance while the Vanguard System uses modeling and simulation to forecast future performance.

In addition, the Vanguard System is knowledge-centric rather than data-centric. It captures management estimates and company know-how from individuals throughout your organization and merges this knowledge into high-level business models. This shift in focus makes it possible for Vanguard to support proactive, strategic decisions.

Vanguard's model-based dashboards give you insight into what WILL happen rather than simply what HAS happened.

Traditional BI Systems
A focus on historical data

Traditional BI systems consist of a central data warehouse that contains company transaction data and a reporting mechanism that allows users to access the data in several summary and ad hoc formats. A common interface is a dashboard that reports how the company is doing on Key Performance Indicators (KPIs).

Traditional BI System

The theory behind these systems is that you cannot improve what you do not measure. Without some sort of feedback mechanism, you are essentially driving blind.

With a traditional BI system, you are no longer driving blind; but, because all information is historical, your only view of the world is through your rear-view mirror. If the road on which you are driving is long, featureless, and straight, you can stay on course by making small corrections and watching how the road drifts behind you. However, if there is a fork in the road ahead (an opportunity) you won't see it until it passes. And, if there is a sharp curve, you crash. What you need is a system that gives you a forward view.

Many BI vendors are focusing on Predictive Analytics in an attempt to provide a forward view. Predictive Analytics involves using statistics to find trends and patterns in historical data that you can extrapolate. It is important to understand that these forecasts are not a prediction of the future; they are an extrapolation of the past. Using the driving metaphor, you are still looking backwards; but you predict that because the road behind you is straight, the road ahead will continue in the same direction.

Typical BI systems can provide significant benefits to organizations when users properly understand the system's limitations. The primary limitation is that these systems allow you to respond to changes in company performance after the change has occurred or has begun to occur, but they do not help you anticipate changes that deviate from historical patterns. In addition, once you extend your planning horizon far into the future, you no longer can use history as a proxy for future performance; so, you don't have the necessary input for classic decision analysis. In short, traditional BI systems help you with operational, day-to-day management, but they are incomplete when applied to strategic planning.

The Vanguard System
A Focus on Strategic Decisions

The Vanguard System gives you the forward vision required to make proactive, strategic decisions. The basis for these decisions cannot be found solely in historical data, the method by which traditional BI systems operate, but by applying scientific rigor to management estimates, expectations, and insights. You find answers by capturing and then mining the knowledge your employees possess.

The Vanguard System delivers results to decision-makers via a client-server network architecture, similar to that of traditional BI systems. However, where traditional systems collect data, organize it, and deliver information in the form of reports, the Vanguard System captures business knowledge, assembles it, and delivers results in the form of decision-support models.

The Vanguard System

How Is the Output from Vanguard Different?

Case Study 1: One way to apply the Vanguard System is in building a company simulation model. This real-time, collaborative model can have hundreds of contributors who maintain knowledge about portions of the company under their direct control. This knowledge is rolled up into an enterprise-level model that reflects the expected operations of the entire organization.

One of many reports this system can generate is a bell curve showing the profit expected over the next 12 months. Because it is impossible for any system to tell you exactly what is going to happen, this system displays the range of possible outcomes by factoring all risks and uncertainties gathered from individuals around the company. The following is an example of such a report:

Projected 12-month profit (base case)

This report tells you that the most likely profit the company will earn is just under $400 million. However, profit could be as low as $250 million or as high as $600 million.

Suppose the next day you look at the same report and see the following:

Projected profit after risk identified

The most likely profit has not changed much; it is still about $400 million. However, the system is now projecting a significant chance that some event could wipe out profits. This chance manifests itself as a new hump centered on a profit of zero.

What has changed? By drilling into the model, you discover that a purchasing manager has learned that the supplier of a key raw material is experiencing financial difficulty. If they go under, new prices negotiated with alternate suppliers are likely to be higher.

Since this possible event has not yet happened, it will never show up in a historical reporting system. And although the event is unlikely, it might not show up in status reports. Furthermore, since the purchasing manager does not have a full understanding of how the price of this material affects all aspects of the organization, he might not recognize that the potential price increase is a serious risk.

Using Vanguard, the purchasing manager can modify the component under his control to reflect the new risk and all parent models will show the impact of this change instantly.

Case Study 2: The CFO can use the same company simulation model to estimate future cash requirements by generating a report such as the following:

Expected cash flow

Although typical cash flow is positive, the company must have access to at least $111 million to be 95% sure it will have enough cash to cover all planned investments. Moreover, if everything goes well, the company could see an excess cash flow of $290 million.

This type of report is directly actionable. You can use it to help plan contingencies on both ends of the cash spectrum. Clearly, you need to make sure cash is available to support the company if operating cash flow is negative. However, a well-run company will plan for the most positive outcome. If there is an excess cash flow of $290 million, are there projects in the planning phase now that will take advantage of the new resources? Idle cash will reduce the company ROA.

Moving Forward

Traditional BI systems are not limited by a lack of features or analytic capabilities; they are limited by their basic architecture. By centering on historical data, traditional BI systems cannot help you with the most valuable business questions such as:

  • What are the major risks we face now?
  • How much cash do we need to be sure we can cover all planned activities?
  • In which projects should we invest to maximize the portfolio effect and cancel risk?
  • Should we go forward with a planned expansion?
  • How will acquiring a competitor affect our expected profits and risks?
  • Should we sell an underperforming division?
  • Etc.

The input used to answer these questions includes management estimates, knowledge about markets, suppliers, manufacturing techniques, etc. These questions are answered by using cohesive, future models which are made up of the combined knowledge contained within your organization. This is exactly what the Vanguard Business Intelligence System does.

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See how Vanguard's model- based BI compares to traditional data-based BI systems.



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