Monday, August 23, 2010

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.

 

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.

 

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.

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