Reframing data with DORA: learn how to be data efficient

Many companies deal with a large volume of data on a daily basis, but at the end of the operation, they end up not extracting the full potential they could from this asset. This is because a series of factors related to management, storage, and the method used to analyze everything that was collected.

However, with the modern market demanding more and more precision in relationships with consumers and partners, not having data efficiency is wasting business opportunities.

We interviewed Marcelo Gallota, an expert at Stefanini Data & Analytics, to talk more about data management and how DORA, the company’s proprietary system, can help with this task.

What is data management?

Data management is the process of collecting, storing, organizing, analyzing, protecting, and effectively utilizing information in an organization. This can be done from a set of resources and techniques of the technology team while allied to sectors such as legal, marketing, sales, service, logistics and finance, and others that make sense for the business offer.

It also represents legal compliance with the rules of the LGPD (General Data Protection Law), prioritizing the secure collection, handling, and access of data in a secure and private way. As it is an obligation, companies must have management focused on data efficiency so as not to have problems.

What are the challenges for companies with data management?

The first and most common business challenge when dealing with data management is to keep data secure and available using the maximum possible optimization of infrastructure resources, especially in a large volume of information that enters its banks daily. After all, when the quantity is massive, the observability and quality of the extractions is not always adequate for the objectives.

After this issue has been resolved, managers will have an easier time visualizing and gaining insights into their operations. In this way, management will be based on business intelligence, allowing for better decisions that are aligned with goals, both in the short and long term.

Additionally, adapting to the LGPD is another common challenge for modern companies. However, with data management aligned with the requirements of standards and laws, it is easier to ensure compliance and avoid problems with legislation.

How to achieve data efficiency?

The first step to achieving data efficiency is to align all sectors of the company to this strategy. We have separated some of the points that should be part of the company’s routine. See:

• Create a plan to manage your data: Have a clear plan that unites the company’s goals with the use of data. This involves setting specific goals and understanding what data is important, establishing rules for collecting, keeping, analyzing, and using it
• Follow patterns and automate processes: When possible, use patterns and automate data collection, storage, and analysis. In addition to avoiding errors, it keeps everything consistent and saves time and resources
• Maintain data quality: It is important to establish rules to maintain data quality. Regularly checking and cleaning data, maintaining a standard format, and having quality controls in place are all parts of this process. · Prioritize data security: Data security is indispensable. To do this, put strong measures in place to protect data from unauthorized access, loss, or damage
• Prioritize data security: data security is essential. To this end, adopt robust measures to protect data against unauthorized access, loss or damage
• Encourage collaboration and data sharing: Have different teams and departments work together and share data securely. This prevents duplicate efforts and helps data be used more effectively across the enterprise
• Measure and improve performance: Establish ways to measure performance and regularly monitor how things are going. Identify areas for improvement and adjust to become more efficient over time.
• Use the right technologies: Investing in tools that fit the company’s needs can make a big difference, including database systems, analytics programs, cloud storage solutions, and so on.

What is DORA’s role in data efficiency?

As you have noticed, to achieve efficient data management, the entire company needs to be aligned with the collaboration paradigm that this implies. However, the aspect that most facilitates the collection and administration routine as a whole is the use of efficient software, capable of handling data more quickly and securely.

According to Marcelo Gallota, “DORA, a system offered by Stefanini Data & Analytics, was originally designed to handle the storage, organization of data and efficient access at low cost.” However, in solving this problem, they identified an additional opportunity and extra value in historical data, which is often held for many years due to regulatory compliance concerns.

This historical data has significant analytical value. However, before DORA came in, it was not even possible to think about monetizing this data due to storage and access limitations.

With the introduction of DORA, the first problem was solved, and they were able to identify the opportunity to “reframe” the data. That is, transforming data that previously had low monetization potential, because it is purely historical, into data with high monetization potential, now that the system offers storage capacity and efficient access.

But how does DORA work?

DORA is a database specifically designed to handle large volumes of data in companies. It is intended to solve challenges related to the efficient storage, access, cost, and integration of this data into enterprise architectures.

To achieve this goal, the system offers compression capabilities that allow you to reduce data size by up to 90%, which helps optimize storage usage and improve overall efficiency. As such, DORA acts like a traditional database, but with additional features that make it uniquely suited to address the specific challenges faced by companies that handle large volumes of data—such as telecommunications, finance, HR, and other industries.

In practice, this resignification is the differentiated treatment with each piece of data, considering in which situations DORA can be used that are not part of a traditional scope. This allows the same data to be used in multiple areas, without taking up more space and serving plural purposes instead of a singular analysis, according to Marcelo Gallota.

And what benefits does DORA bring?

The main benefit is the enormous efficiency brought by the compression and consequent reduction of infrastructure resources (mainly storage). In addition, DORA is easy to integrate with any element of the company’s data architecture, enables the monetization of historical data and helps companies reduce their carbon footprint due to the large reduction in infrastructure usage.

Now you understand why data management and efficiency cannot be neglected. With DORA organizing, processing, and displaying data with even more agility, it will be much easier to obtain valuable business insights, which will change the financial direction of your company in the medium and long term.

Get the best possible results when it comes to business management and data efficiency. Contact us and learn about even more benefits that DORA has to offer!