In the digital age, the majority of firms must discover effective methods for gathering, storing, and managing their data. The amount of data that most businesses manage is enormous because they have already begun their journey toward digital transformation.
Cloud storage has undergone a significant transition as a result of remote and hybrid business models. As a result, scalable and agile solutions that can adjust to the needs of any firm are now required. But when new trends emerge, so do our perceptions of and applications for the data at our disposal.
As we get farther into 2022 and prepare to close the year, we have a better understanding of the data management priorities of businesses. Data teams must ride the wave quickly to remain competitive in the coming year. Here are data management trends of 2022 that you should already be considering.
1. The move to the cloud
Most organizations have moved past considering whether moving to the cloud is right or assessing how to do cloud data management. According to Flexera, 90% of companies have been utilizing the cloud since 2020, with 87% of them embracing multi-cloud environments. Many companies are also utilizing multiple cloud storage providers to optimize their contingency or recovery strategies.
2. Demand for real-time capabilities
The demand for real-time capabilities no longer only has to do with the power of accessing data quicker and easier. Capturing data in real time is necessary to accurately and effectively deploy other data-driven processes such as fraud detection or AI models. Real-time data may also help increase the success of marketing campaigns that may be updated or tweaked depending on performance changes monitored over a specified time.
3. Increased spending on cybersecurity
The pandemic era saw an unprecedented spike in cybercrime. Data has become particularly attractive to cybercriminals because of its value, allowing them to sell it or hold it for ransom. Because of the rise in digital attacks against cloud-based environments and cloud data ecosystems, organizations are increasing their cybersecurity practices, processes, and policies.
4. Data-driven decision-making
By bringing data and analytics into the process, many organizations are seeing the most transformation. Traditionally, many companies base their decisions on customer feedback that they may have gathered through surveys or customer service. However, leaders have found that these practices don’t leverage facts or metrics because they are not defined by analytics or data. Therefore, many businesses today now work to create data competence and analytics agility in their quest to become data-driven.
5. Augmented/automated data management
Augmented or automated data management differs from traditional data management, automating many tasks that have been done manually, such as data integration, data preparation, increasing data quality, metadata management, and master data management. Augmented data management automates data quality checks, eliminating any discrepancies in the data and finds and identifies data quality problems, including patterns, anomalies, etc. It enables companies to make decisions based on solid information.
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