The world of business is data-focused, yet, it is important to acknowledge that the data is a promising tool. The data potential to support decision-making is remarkable in the right hands, with the right approach. With data sets growing and diversifying, the integration with the analysis platform is a huge challenge. If overlooked, it creates loopholes and leads to misunderstanding. As data continues to rise exponentially, huge demand is created in the market for big data scientists and big data analysts.

It is essential for companies to hire a data scientist with different skills because the job of a data scientist is multidisciplinary. Many organizations, however, don't have enough lasting support to guarantee the continuation of data management, are yet in charge of either operations or analysis. The poor analytical results and a distrustful analytical program lead to difficult or dormant data management. Data management is a complex discipline, and all professionals involved in data management need excellent education and ongoing training.

Organizations need to obtain important insight from big data analytics, and it is important that this information is available only to the relevant department. A critical challenge for big data analytics companies is to effectively bridge this wide gap. New technologies and businesses are being developed every day with the growth of big data. One major challenge for big data analytics companies is, however, to determine the technology that best suits them without new problems and risks.

The failure to provide a framework for the management of data for enterprises such as the DAMA International Knowledge Management Body is a sign that the organization doesn’t really view data management as a set of disciplines that contribute to the success of management and use of information across the company. Data used in such an organization under an analysis program may not be reliable, valid, complete, and well defined from reliable sources without that framework.

Companies and managers who learn to use data for better policymaking will be successful in the market. These companies will be able to monitor and respond to new circumstances and new customer requirements more quickly than their competitors. They would be the first to gain insights from the social media dialog and win the battle by getting a deeper understanding of their customers and engage them—all based on data.