Big Data technology, along with data analytics and management, emerges as an indisputable ally to optimize and automate processes, as well as improve customer relations by better understanding their needs.

Staying at the forefront in a constantly changing world is not an easy task for companies and public organizations that have to manage and organize large amounts of data.

In fact, the data revolution has been especially significant in Spain, where more than 74% of national companies have increased their investment in data management and analysis just in the last year, according to a study conducted by BARC and CloserStill Media.

But within the field of analytics and data management, there are numerous tools, applications, languages of use, and aspects to consider; such as the infrastructure where the data to be analyzed is located: in the cloud, on-premise, or a hybrid model.

As in all technological sectors, innovation in analytics is very rapid, and that’s why it’s very important to always be informed and trained in the latest trends.

In today’s article, we tell you what the trends in analytics and data management are, and what benefits their implementation can bring to your company:

1. DataOps

It’s a data management methodology that uses the DevOps approach to optimize data management. An asset that is increasingly voluminous and from which companies want to extract the greatest value. Thus, two departments that are usually separate are united: developers and data management teams. This brings benefits such as:

• Data organization: this approach allows for the creation of an agile and distributed data architecture to process, store, access, and analyze large volumes of data in one place, consequently boosting digital transformation.
• Process improvement: these tools create replicable processes and reusable code. Also, standardizable, automated, and consolidated repeatable processes are established, allowing Data Science teams to save time for higher-quality tasks.
• Decision-making optimization: provides real-time data results, facilitates data analysis to predict possible scenarios, and helps manage multiple data flows from different sources, providing a single reliable and quality source for decision-making.

Implementing DataOps is the definitive step for a company to move from manual and repetitive data management to obtaining the real value of data, thus increasing business agility and fostering innovation.

2. Data Governance

It’s the set of all internal measures and standards set to manage and analyze the use of information. The main goal of this governance is to ensure data security and quality, which translates into advantages such as:

• Improved decision-making: once the large amount of information that companies collect is organized, good governance allows for a better understanding of the customer and anticipates new market trends to improve competitiveness.
• Data democratization: governance is closely linked to the democratization of data, which refers to all those initiatives that allow for expanding access to information to more employees. With a powerful data analytics tool, it’s possible to establish who accesses what type of information, thus fostering productivity and innovation.
• Improved profitability: the rigorous management of data and resources allows for controlling the organization’s costs.

Through data governance, better control over information is achieved while expanding access scope for employees, ensuring security and privacy to maintain control throughout the data lifecycle.

3. Hybrid Cloud

According to S&P Global Market Intelligence’s Cloud Price Index study, 57% of companies prefer to choose a hybrid environment. Many companies have realized that hosting all their data in the cloud is not the best for their business, nor is having it only locally. Therefore, more and more organizations are opting for a hybrid cloud, where applications run in public or private clouds and on-premise. Its benefits include:

• Greater control and security: users decide what workloads are hosted in each location, privately and securely.
• Greater scalability: thanks to its flexibility, this model can adapt to any circumstance, such as an increase in the volume of data generated.
• Greater profitability: thanks to the optimal and diversified management of resources, the hybrid cloud allows for paying only for the space actually used.

4. Microservices

This development model allows for implementing and making software changes more quickly and easily. Unlike old architectures, this architecture offers a lot of freedom to companies when working on their platforms, processes, and applications.

Its advantages include being a very suitable option for modernizing legacy applications or reducing risk, as if one of them fails, it would not affect the entire application. It also allows for easy code updating, which can also reuse its functions.

5. Artificial Intelligence

Artificial Intelligence (AI) has been linked to data analytics and automation processes for some time, but it has gained special significance in the past year, particularly due to the emergence of Generative AI. This technological evolution has opened up a vast array of possibilities for creation, management, and interaction with computer systems.

Although adoption in this industry is still at an early stage, organizations are expected to benefit from this tool to extract even more value from their data.

For instance, companies like Cloudera have created a chatbot that allows businesses to build their own application based on the LLM (Large Language Model) language. This is the first model that enables companies to use AI as a tool within their own business environment, with complete security and governance, ensuring that the data and results it returns are entirely trustworthy.

CONCLUSION:

For organizations to drive their digital transformation and remain competitive in an ever-evolving business environment, staying up-to-date with these trends in analytics and data management is essential.

At PUE, we adapt to industry trends and our clients’ needs, which is why we opt for the most innovative solutions from the best partners, such as Cloudera, Starburst, or Google Cloud.