Businesses are increasingly aware of one of their most valuable assets: data. This resource adds value to the business and is capable of generating great benefits and competitive advantages in the field of corporate management and commercial activity.
Companies today depend, to a great extent, on a better knowledge of their customers, and this requires using data-based business intelligence: acting on the basis of data and better adapting the product or service to the customer’s needs. We are living in the Data Era and as Sergio Gordillo , Business Development Manager at Keepler Data Tech, points out, in the coming months organizations will focus their attention on this resource taking these five strategies into account in 2022.
Privacy & Security
Organizational data has been stored for years in different places: servers, repositories, databases, data centers and the cloud. For a few years now, the questions have been: What is your real level of security and privacy? What technologies are best suited for each type of data? How is it possible to take advantage of all of them with an increasingly unified and global security and privacy criteria?
Companies are trying to solve the challenge of knowing and controlling who accesses their data, how they do it and how much it costs them. In 2022, many will continue to analyze the best way to use their information, but they will first need to ensure the complete security of their data.
A trend in this sense will be to carry out a global management of the data, which controls both the visibility of the different data repositories, as well as the authorized access to each data, in a framework that applies clear criteria in its day-to-day life. This is possible with the creation of a data governance layer that offers control over access, security and privacy of the data, as well as a detailed description of its lineage and ownership, among others. A strategy that also provides a better user experience when creating, sharing and consuming data.
Democratization of data
The great objective of organizations is to facilitate (controlled) access of all business units to data, that everyone can access it and that they can take advantage of the work done by other departments. That the work already carried out from some data is available and accessible so that it can be used by other areas, thus promoting a data-driven approach in the organization.
When you have a data platform, potentially all the teams in the organization can consume it, and this consumption is costly. The next step is to solve the data cost distribution challenge and identify formulas to monetize it. The final objective is to distribute the cost based on the consumption that is made of it (pay per use).
Efficiency and automation
One of the objectives recently pursued with special interest by organizations is to achieve a high degree of efficiency in their operational processes related to data. Automation becomes the tendency to pursue in processes such as cataloging, publication, privacy or access to data that provide great value, contribute to increased profits and achieve results in a less complex and faster way.
Until now, the most common approach to developing projects that use artificial intelligence to process data has been through Proofs of Concept. However, the trust that this technology already generates means that, more and more, use cases are proposed to achieve real results and value for the Business and for the organization’s clients.
Artificial intelligence is being applied mainly in its machine learning variant, in the field of automation of administrative and operational processes, detection of anomalies and prediction of demands or in maintenance environments; all this, highly oriented to the search for efficiency and saving time and costs.
As Sergio Gordillo acknowledges , “the interest in data and its correct management does not stop growing and every time we have more technological possibilities to extract all its value for the Business. A correct treatment and governance of an organization’s data is the first step to identify new opportunities.
The information is there, but it is necessary to order it, manage it and make sense of it, and data technologies facilitate this work. Modern organizations have a valuable resource that they must learn to manage in order to be more competitive, agile and efficient “, he concludes.