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.
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.
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.
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