It is nearly impossible to imagine a business today that does not have a significant reliance on information technology. The more complex or larger the business is, the greater the investment in and reliance on computer technology. This is true because the computer has allowed us to communicate much more effectively. The problem arises as the computer begins to take more and more time from management creating inefficiency. The solution is 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.

 

Not only is the business of manufacturing a goldmine of data, but even how we find, hire, manage and motivate our workforce is the subject of mountains of information. The process of garnering this information, however, has become an enormous task outside the normal skill set of management. Increasingly we find businesses outsourcing portions of, if not the entire process.

 

This is not to imply that any manager would wish to have less information, far from it. It is that the effort to gain usable, decision-making understanding from the data has been overcome by the methodology for garnering the raw data from which it is distilled. Information carries with it nuances that help determine its meaning in the form of the entering arguments for the collection process. This is the age old recognition that how one asks a question influences the answer to a degree. With the manager expending so much time in collecting reference points and measurements, there is little left to consider the purpose and possible alternative collection means.

 

The reason information systems became such an integral part of business is their ability to enhance the decision making process. When the use of the system becomes so cumbersome and time consuming that it cuts into the time a manager has to explore data and make operational decisions, it has stopped enhancing the business. The complexity of our tools is rapidly becoming more problematic than running a business without them. While there is certainly reason to expend energy training management on new tools and software, it should not continue to erode their time on a day to day basis.

 

There is a means of restoring sanity to the balance of business using computers; the use of the computer to control the information gathering and analyzing automatically. This is, in essence, using a computer to run the computer, and it pays immediate and far reaching dividends. This gives management the ability to make the decision on what data it needs and in what format it wants the information presented. That accomplished, managers can spend their time doing what they were hired to do; run the company and make a profit.

 

Everyone who has been in business knows that it is unnecessary and counterproductive for the CEO of a major company to have to deal with every detail of daily operations. Likewise, managers need to be able to ask operational information of their management system and get the answers they need without having to personally collate the individual pieces of information necessary for their development. This is why it is essential the information be loaded into the system by all employees in a coordinated master software plan.

 

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.