There is an ironic truth in the management complaint that computers have made the business so complex that if the power goes off or the information technology freezes up, everybody may as well go home. It has come to pass that we are so deeply invested in computers to operate on a daily business that we can not continue to operate without them. While this is literally true in many manufacturing and financial sectors, it is also beginning to be the state of affairs for nearly every company, and highlights the need for systems management software.

 

Business has long had a need for more information. Management has always sought the answer to such questions as what will sell, when it should be sold, how can we get the product to the consumer quicker, and what inefficiencies are we experiencing. With the advent of the microprocessor, the old adage of be careful what you wish for may be an important consideration. We can now measure so many things and compile so much data that the manufacturing process becomes hard to recognize.

 

The manager is now faced with so much information about every topic that discerning the valuable information from background noise data is seriously problematic. Hiring decisions used to be made following an interview, with questions and answers and the unquantifiable interpersonal ques an interview provides. Today a successful candidate of yore may be electronically eliminated by an insignificant criterion before an interview is even conducted.

 

There is no question that the greater the quantity of valuable accurate data a business has to feed into the decision making process, the more likely a correct decision will be arrived at to the benefit of the company. The problem is knowing how much data is enough, and which data is useful. A manager needs to know what data was collected and under what conditions to understand the information from it. Trying to keep track of all the individual input through his area of operational control necessarily requires precious time sacrificed from running the business.

 

The reason for the explosion of information technology is that, when used well, it is a tremendous boost to corporate efficiency. Communication can be immensely more effective when all the decision makers of a large organization all have the same information at hand when discussing significant strategy and tactics. But it dos not always tell us what is important. A small airline company can produce thousands of data entry points to track and report the systemic progress of getting an airplane in the air on time. But this will never help a manager figure out that what the customer cares about is not the takeoff time, but the landing time at destination.

 

Not surprisingly, this phenomenon is known to information system specialists, who are working feverishly to reign in the complexities of using management tools. It should also be no surprise that the solution will likely entail software designed to run or enhance the existing management tools, computers in charge of computers. This secondary iteration of control is much like the levels of management in a company, with each successive level designated to run the level below, allowing the higher levels to focus on a more strategic role.

 

If a business is in the manufacturing industry, management does not want or need to spend its time gathering and inputting data about the supply chain, constructing statistical process control charts, or gathering data on trends in the demand for their product or the prices of their supply chain. What they need is that data collected for them by an automated system that collects and collates the information and packages it in a readily identifiable format and delivered to their desktop before the day begins.

 

So while it is important that someone is aware of the collection and interpretation of all the detailed information a company has, there has to be a way to develop that raw data into useful knowledge for each level of management. This is the crux of systems management software, manipulating data collected by software systems to develop actionable information for leadership to run the business efficiently and profitably.