Becoming a better IT-using company is not just about mastering the trends of today. It's also important for executives to project the next steps for their industries. This is because going down technological dead ends is a waste of time and money, even in an era when resources are more modular than in years gone by. As such, executives need to pass judgment on ideas such as crunching data through business intelligence. This seems to be a reliable practice because it is so adaptable. Firms will always have information to spare, and decisions can simply be improved by working from reliable data instead of intuition.
Data merits Gartner mention
A recent overview of predicted 2015 tech trends by Gartner Research indicated that the use of analytics will still be a useful procedure in the year ahead. Rather than just hanging on, this methodology seems set to evolve and become more intractably linked to other processes than has been seen before. The source explained that there will be huge amounts of information circulating in the years ahead, created by the IT solutions that drive businesses. This data will become fuel for the next generation of analytics software, which will be more prominent than it is today.
Gartner Fellow David Cearley gave his predictions about the next evolutionary steps for information analysis. He stated that the scale of data may be extreme, but firms will still be able to deal with it at great speed, feeding into their efforts to control and manage their own operations. Cearley specified that this entails both choosing what data gets filtered through the systems and who gains insights from it. In older BI methods, there were degrees of abstraction between data users and recipients. In the IT world of 2015, employees will be able to learn what they need to know and act immediately.
The products described by Cearley may seem optimistic, but such capabilities are actually accessible now. Solutions such as Necto 14 combine the ability to comb vast amounts of information for resources with the capability to empower workers at every level of the organization. Even without intense training in the technological field, individuals can learn what they need to know and become more efficient in their decision-making. The past few years have seen programs move in this direction from their origin as static processes that churned out reports from information that had already been logged and quantified within structured databases, and evolution continues.