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.

 

Business has long had a need for more information. Management has always sought the answer to such questions as what will sell, when it should be sold, how can we get the product to the consumer quicker, and what inefficiencies are we experiencing. With the advent of the microprocessor, the old adage of be careful what you wish for may be an important consideration. We can now measure so many things and compile so much data that the manufacturing process becomes hard to recognize.

 

Given the right motivation, we can identify and collect an endless stream of facts concerning our business. There is information about the historical needs and uses of the product, what time of year it is most needed, what additions or complementary products most affect its use and so on. We can even spit details of which employee candidate pool is the most likely to successfully work in our industry and where they can be most easily found, attracted, hired and motivated. Unfortunately, we have not found a way to make the day longer or management more multitask capable than we already have. We can hire others to do parts of the business, but that in itself complicates the process and while we gain flexibility, we lose control.

 

While the data is important and even critical to a competitive organization, the methodology for gleaning information does impact the final data. Once all this data has been collected, the manager must make sense of it and put it to use in a practical way, a difficult endeavor made more complex by not having a good handle on the parameters under which it was collected. This is further complicated by the issue of time, just how much should be spent on the analysis of data?

 

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.

 

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.

 

All leaders intrinsically want to have a feel for what their company is doing. There is no scarier feeling than being responsible for something and not having the first hand knowledge of what is being done to make it happen. This does not mean that the CEO of a company needs to know the name, start time destination and cargo of every truck carrying product within his company, that is what the management hierarchy is about. Unfortunately, the nature of man is to be curious, and if the data is available it is difficult not to get captured in the mountains of minutia.

 

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.