Indicators to know if your company needs to improve data management

Data management has become a fundamental cornerstone for the technological operations of any company, regardless of its size or sector. With the increasing digitalization, data volumes have exponentially increased, and knowing how to manage them correctly can make the difference between success and failure. Here are five key indicators that reveal if your company needs to improve its data management.

1. More time managing data than analyzing it

If your team spends more time organizing data than analyzing it, it is a clear sign that your data management needs an update. Data should be easily accessible and of high quality to enable informed decision-making. Automating database management tasks can ensure the application of good operational and security practices, allowing your team to focus on higher-value activities.

2. Large amount of unstructured data

Unstructured data, such as images and social media posts, can offer valuable insights if managed properly. However, many companies struggle to handle these data effectively, increasing risks and costs. Adopting solutions like Database as a Service (DBaaS) can help consolidate and manage these data efficiently, turning them into valuable assets.

3. High energy bills

Physical data centers consume a significant amount of energy, representing up to 50% of some companies’ total energy consumption. Data consolidation in the cloud and the use of hyper-converged infrastructures can significantly reduce energy costs and emissions, while also improving data security.

4. Technology not prepared for remote or hybrid work

The pandemic has solidified remote work as a new norm, especially among younger employees. If your data infrastructure is not optimized for remote access, it can affect efficiency and security. Implementing data management solutions that minimize latency and allow fast and secure access from anywhere is essential for an effective digital transformation strategy.

5. Uncertainty about GDPR compliance

Compliance with data protection regulations is crucial to maintain customer trust and loyalty. Data governance, including processes and technology to keep data private and secure, is essential for complying with regulations like GDPR. Companies must implement robust data governance plans to avoid penalties and ensure ongoing compliance.

The importance of a robust data strategy

An effective data strategy is your company’s long-term plan to turn large amounts of data into valuable assets. This strategy should address how data is collected, stored, shared, and used, and what technology and processes are needed to do so. By answering key questions about the data needed for employees and the right processes and technologies, your company can develop a data strategy that drives its business goals.

Data management: the “how” of your data strategy

Data management encompasses how your company collects, maintains, and uses data securely and effectively. This includes creating, accessing, updating, storing, ensuring privacy and availability, and complying with regulations. Strong data management transforms your data into a valuable asset, ensuring its accuracy, availability, and compliance.

Make better data management a priority

Upgrading your data management infrastructure to cloud-based solutions can significantly improve data storage capacity, data security, and reduce energy consumption. Additionally, this can increase your team’s efficiency, allowing them to focus on priority activities that drive the company’s success.

In conclusion, maintaining efficient and up-to-date data management is essential in today’s business environment. Evaluating and improving your data management practices can lead to increased efficiency, security, and compliance, turning your data into a strategic asset for your company.

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