Achieving success with the IoT era of analytics

Business analytics solutions have become more advanced in the past few years, while many firms have started to incorporate data from a range of other trends such as mobility to enhance their intelligence performances. One of the more important movements in corporate computing to watch today is the Internet of Things, which will almost assuredly have a massive impact on the ways in which big data strategies perform in the coming years.

In many cases, experts tend to assert that the IoT will be a boon for analytics, helping to completely transform the average firm’s decision-making for both short- and long-term strategies given the breadth of information being generated. To ensure that these types of transformations play out in favor of the company rather than in a disruptive fashion, the focus will need to remain on policy refinements, data preparation and other backend procedures.

A word to the wise
International Data Corporation recently reported that the average company will need to take several steps to reach mature performance within its strategies pertaining to the IoT. According to the analysts, the majority of leaders in the private sector are indeed unified in their opinions regarding the IoT’s place in the modern office, with more than 50 percent citing it as a strategic driver throughout their operations that will be a priority in the coming years.

“The Internet of Things is enabling businesses and IT to connect, transform and innovate across all aspects of a company, thus becoming a key driver in the digital transformation discussion,” Vernon Turner, senior vice president for the IoT, explained. “Having a road map to navigate this journey is critical given that new IoT eco-systems and business rules will demand companies to create highly customized customer experiences.”

The IoT will present challenges and opportunities related to analytics performance. The IoT will present challenges and opportunities related to analytics performance.

The primary stage cited by the analysts will pertain to ad hoc efforts, while the final process involves comprehensive optimization. For obvious reasons, that final stage will only be reached when analytics use is on point and properly integrated into the IoT’s strategic procedures.

Preparing today
Analytics have been invaluable for companies that are working to more fluidly and efficiently embrace novel trends, and the IoT is no different. Big data can help departments more quickly and accurately evaluate all of the risks, opportunities and management requirements involved in the IoT than when trying to approach the matters with traditional, outdated planning processes.

However, these types of insights will only be helpful when the firm has nailed down its data prep and other backend management strategies, and this can be achieved through the use of managed services. Self-service data prep and other solutions are now available to help companies wrangle their high volumes of information and turn them into valuable, forward-looking insights.