Monday, August 23, 2010

The age of the computer has changed business in many ways, allowing the manager unprecedented span of knowledge and control over all processes relating to his business. This has allowed for the use of data and information on an unprecedented scale. The drawback is that the available data for any business can be unwieldy and it is very possible to drown the manager in information. This is the time to leverage the power of processing to control the computer via 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.

 

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 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.

 

This is the ultimate purpose of and advantage to using systems management software. It keeps the onus of detailed data input and collection distributed across a workforce with the appropriate specialists. Individual employees input the data relevant to their portion of the company process.The software then executes the appropriate queries to collate the correct data to provide managers with the usable information they need in a format they can readily put to operational use.

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