Business Intelligence Server

Successful organizations maximize the use of their data assets through business intelligence technology. Data warehousing and decision support tools enabled companies to benefit from accessing and analyzing their corporate data. Business users at every level found new, more sophisticated ways to analyze and report on the information mined from their vast data warehouses. Demand grew for an increasingly more powerful business intelligence solution that put the right information into the hands of every user within the enterprise.

The knowledge resides in many different places such as: databases, knowledge bases, file cabinets and our heads and is distributed across the enterprise. Creation and management of knowledge out of data and practices are the key to making timely accurate decisions, uniformity in the processes and getting the maximum returns.

You should have full knowledge of your strengths & weaknesses and full knowledge of your enemy's strengths & weaknesses. Lack of either one might result in defeat. The challenges in business are the same as they are in war:

• Collecting data
• Discerning patterns and meaning in the data (information)
• Knowing what to do about it.

Business Intelligence Server is gathering, storing, analyzing, and providing access to data to help you make better business decisions.

We help you automatize your business process in an intelligent way.

When implementing a business intelligence program there are a number of questions to be asked and decisions to be made.

Goal Alignment

The first step is determining what the short and medium term purpose of the program will be. What strategic goals of the organization will be addressed by the program? What organizational mission does it relate to? A hypothesis needs to be crafted that details how this initiative will eventually improve performance.

Baseline

Current information gathering competency needs to be assessed. Do we have the capability to monitoring important sources of information? What data is being collected and how is it being stored? What are the statistical parameters of this data? Is this being measured?

Cost and risk

The financial consequences of a new business intelligence initiative should be estimated. It is necessary to assess the cost of the present operations and the increase in costs associated with the Business Intelligence initiative. What is the risk that the initiative will fail? This risk assessment should be converted into a financial metric and included in the planning.

Customer and Stakeholder

Is the specified initiative the best way to increase satisfaction for all kinds of customers, or is there a better way? How will customers' benefits be monitored?

Metrics

These information requirements must be operationalized into clearly defined metrics. One must decide what metrics to use for each piece of information being gathered. Are these the best metrics? How do we know that? How many metrics need to be tracked? If this is a large number (it usually is), what kind of system can be used to track them? Are the metrics standardized, so they can be benchmarked against performance in other organizations? What are the industry standard metrics available?

Measurement Methodology

A methodology or procedure must be established to determine the best way of measuring the required metrics. What methods will be used, and how frequently will data be collected? Are there any industry standards for this? Is this the best way to do the measurements? How do we know that?

Results

The business intelligence program should be monitored to ensure that objectives are being met. Adjustments in the program may be necessary. The program should be tested for accuracy, reliability, and validity.