And there many companies El-Salvador Email List are still somewhat lost, something that is revealed again in a report by DNV GL and GfK by e-Marketer. After surveying more than 1,000 professionals from around the world, and from various sectors, it was concluded that most companies have only taken one or two actions – or none at all – regarding big data management. In fact, close to half (49.1%) claim to have taken at least one action, and 34% acknowledged that at the moment their company is doing absolutely nothing to take advantage of the potential of this information. Data suggesting that many firms still struggle to understand how they can apply big data to their operations. Regarding the most common actions, the improvement or implementation of new information management systems stands out (27.6% have done so), the implementation and integration of new technologies and methods (24.8%), changes in company culture (16%) or the creation of new business models (15.4%).
What are the biggest challenges?
When respondents are asked which are the greatest barriers that are preventing their companies from taking advantage of big data, a multitude of different challenges appear, among which the lack of a global strategy (for 24.4%) and the lack of sufficient technical skills (23.5%). Having too many different priorities, not understanding data management and processing, security concerns, or a lack of corporate agility are other compelling reasons that are weighing on the adoption of big data. The same difficulties with big data extend to how companies process and use their own information, with concerns about management systems and data security. Thus, 40% of professionals mentioned data quality, data recovery and security as their top priorities.
Broadly speaking, there are three major challenges to overcome when it comes to really harnessing the potential of big data: On the one hand, technology. Brands have to take on great challenges inherent to big data, such as having the technological strength to host large amounts of data and having enough structure to process it. In other words, big data not only requires data, but also the technological tool to help decipher it.
On the other hand, the staff. Existing professionals are not prepared to solve the challenges of big data, not even those of the IT department. The workforce must be adjusted according to the new challenges, recruiting new talents to complement those that already exist, in order to have highly specialized personnel in the management of large volumes of information. And finally, the chaotic nature of the data itself. Not only do you have to get the raw data (which for some small companies may already be a problem per se), but also the information arrives completely unstructured, coming from multiple sources, creating redundancies and generating the risk of working with data in silos. , without getting a panoramic view.