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.

 

Information is the lifeblood of industry, from determining what product or service is needed to handling the myriad requirements that must all be pulled together to create them. Knowing the customer is a complicated business that is not intuitively obvious, and those who crack the code first are the most successful. Information is the key to the code, and information technology allows for its collection and analysis. As this new era of automation matures, the quest for ever greater detail in the information collected and studied grows until there comes a point where there is simply too much to effectively make sense of.

 

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.

 

Like all tools, the computer has the potential for enhancing decisions with data that engenders confidence and produces results. It becomes problematic when the tool becomes the driving force in the business. If management is spending more time using the tool than created and delivering the goods and services at the heart of the company, there is a problem. While the information and uses for it grow exponentially, management possesses an ability to use it which remains fairly stagnant, which means there is inefficiency in the process as a whole.

 

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.