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.

 

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.

 

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.