Important Data Management Strategies for 2022

For decades, managing data essentially meant collecting, archiving, and occasionally accessing it. All of that has changed in recent years as companies seek the critical information that can be extracted from the vast amounts of data generated, accessed and stored in a myriad of locations, from corporate data centers to the cloud and the perimeter. Data analytics, with the help of modern technologies such as artificial intelligence (AI) and machine learning, has become an indispensable capability and by 2022 the importance will be amplified. Businesses need to quickly analyze data, much of it unstructured, to find the information that will guide business decisions.

5 data management strategies for 2022 in the short and medium term.

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 our data management experts at ENERGYSAVER points out that in the coming months organizations will focus their attention on this resource taking these five strategies into account in 2022.

1st.–

Privacy and security : Organization 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 what 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

2nd.-

Democratization of data : The great objective of organizations is to facilitate (controlled) access to data for all business units, so that everyone can access them and that they can take advantage of the work carried out 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.

3rd.-

Cost control : When you have a data platform, potentially all the teams in the organization can consume them, and this consumption involves cost. 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).

4th.-

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.

5th.-

Artificial Intelligence : Until now, the most common approach to developing projects that use artificial intelligence to process data has been through Proof 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.

Don’t let Data Management technology pass you by

The longer you wait to harness the power of technology, the more difficult it will be to collect and manage your data. Not only should you focus on properly analyzing the data you collect, but you should also protect this information. The last thing you want is for your lack of data security to create problems for your customers. A data hack can cause you to lose a lot of business, so you should put data security at the top of your priority list. This is why you have to speak to our data science and management professionals at energy. Contact us today.