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.
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.
It is the essence of management to see the bigger picture, to make the decisions that will not only allow for the day to day business to get done, but to have a solid feel for what needs to be done to stay in business tomorrow. These two aspects of leadership conflict with a critical element of the reality of management, balancing time requirements. To that end, information systems were initiated to allow the manager greater access to information more quickly. While this has been a success, the data has become increasingly complex, and more and more time is eaten up processing it.
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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