People generally like to talk about the future, perhaps this because most aspects of the future are shrouded in mystery. Another thing that keeps people speculating about the future is change. This is especially the case on the business arena. When we talk of business, it is clear that one of the main driving forces behind businesses is IT. With so many things in the business arena changing, there is need for a perfect IT system that will keep up. IT automation is the best option to ensure continued success.
Adaptability is a 21st century survival skill for all organizations. IT automation will make it possible for business organizations to adapt to constantly evolving technologies. Within this paradigm, shifts in the marketplace, emerging competitors and changes in customer behavior will be identified ahead of the curve, creating a razors edge advantage. This process will translate into all areas of business, including cascading mergers and acquisitions. Increased agility allows for business processes that cannot only constantly change, but can readily adapt to change as it happens. It also means finding ways to leverage new information into more complex combinations than currently exist. IT automation shall also need a constant feed of the ever changing data of the present, should be capable of extracting and recognizing data from legacy applications and metadata. The automation shall also need to sort the constant and ever-increasing data flow of the world in real-time for future reference.
To a layman, the present systems seem helpful and capable enough. We can Google anything in the comfort of our homes. Even at offices, data extraction is fairly fast enough. If seen closely enough, the layman too shall see that real-time information is difficult to gather and has a time-frame after which it is updated. At offices too, one faces this real-time transfer problems that leads to delays in lets say, employee id generation. This delay, as already mentioned, is commonly referred to as update time-frame. Web services have enabled most of us to collect new types of data from within and without an organization. Companies have significantly improved data collection methods, with RFID promising even higher levels of real time data transfers. This improvement, however, has generated a new set of challenges in integration, collections, filtering and deciphering. The possibility of current systems remaining static is a remote possibility for organizations that want to successfully compete in an ever changing marketplace. In response, IT Departments have been challenged to meet the agility demands of the present, as well as the unknown of the future. Shifting most of the burden to existing systems with only people offering direction is not the answer.
Defining IT automation is not as simple as it may sound. Considerations include checking the prevailing conditions for their data center model in order to define and set the parameters, thereby ensuring expectations will be in line with achievable goals. The outcome? Automation must adapt to varying parameters in different organizations. There is no more cruise control when it comes to business in the new Millennium. Once the perfect automation approach is identified the only remaining function is to identify the components which are best suited for the process. That is, until the parameters change.
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