The big data revolution has taken hold of virtually every industry and region in the past few years, with every entity from a farmer to a major financial institution on Wall Street leveraging modern intelligence solutions for a range of purposes. Although adoption has indeed risen more quickly than many analysts would have predicted only a few years ago, the number of users to enjoy substantial gains has been somewhat low, which is to be expected when a new technology is gaining steam for the first time.
This is far from being the product of poor technology, as the solutions have come a long way in a very short period of time, becoming more powerful, affordable and usable as the years pass. More often than not, companies that try to launch big data initiatives but fail to understand the importance of expertise and skill in requirements such as data preparation will fail to realize the full range of advantages that ought to accompany the investments.
Network World recently listed some of the more prominent impediments standing in the way of more optimal analytics strategy performance, affirming that companies need to cover several foundational matters to ensure they do not end up in a precarious position. For example, the source pointed out that many organizations are struggling to decide how the big data program will be hosted and in which systems the included information will be stored.
In many instances, cloud hosting will be somewhat of a necessity, but some companies are choosing to instead store the entirety of their big data in traditional environments, which might be preferable depending upon a wealth of factors. The news provider suggested understanding every piece of the puzzle with respect to storage and hosting needs before moving on to the next stages of deployment, including the selection of an actual solution.
According to Network World, “false positives” are also negatively impacting the returns on investment some businesses are seeing following deployment, and standard challenges symptomatic of lacking expertise have been widespread. For these reasons and many more, businesses that do not have the utmost faith in their internal capacity to properly deploy, manage and optimize a big data strategy should always consider leveraging the support of an external service provider.
Future is bright
One of the key trends in the big data market today involves the growth of self-service solutions that can help businesses with everything from data preparation to analytics visualization. However, even when those tools are released and made available to corporate purchasers, implementation, integration and strategy creation can still be setbacks on the road to enjoying optimal ROI.
Intelligence programs must be handled properly, and managed service providers that specialize in analytics can be helpful in safeguarding the relevant investments from poor returns resulting from improper use. When data preparation, cleaning and other frontend processes function optimally, the success rate will be inherently higher.