Autor: Ricardo Ruiz

In today's world, it's no secret that information technology can mean a significant competitive advantage in the business world, much like using the right tool in manual work brings greater efficiency to the activity we want to perform. 

To put it into context, let's imagine that we need to install a coat rack on the wall of our backyard. We have the coat rack and screws with a cross-shaped head. In our toolbox, we find several screwdrivers and opt for the star-shaped one, which is suitable in this case. However, when installing the coat rack, we face a wall with delicate ceramic tiles that we didn't consider when selecting the tools. Now, we need a drill to make holes for the screws. If I have the resources and consider it convenient to acquire one (since I don't usually do this type of drilling), I can buy it or borrow it from my neighbor, which would be more cost-effective. 

Something similar has happened to companies with technology. When searching for a drill that facilitates their work, they have encountered a wide variety of different brands, each offering different ways to achieve the same result. However, using an industrial drill in domestic work is not the same. It's important to clarify that the tools available to companies vary in specifications or details that these organizations often don't fully understand. Therefore, they end up adapting technologies that serve their purpose but don't maximize their potential due to a lack of knowledge.

"In the realm of data, the situation becomes even more complicated"

Contemporary businesses manage various sources or data inputs. The variety of commerce platforms decentralizes our data. In Colombia, many companies choose to use familiar and budget-friendly tools like Excel to manage their data. A few use databases, but accessing and analyzing their data in real-time represents a high cost and a significant challenge. 

Large companies, in addition to having various data sources, generate data at a high speed. Therefore, the quantity is even larger, and the question lies in how to use and process this data quickly to stay ahead of the competition.

These companies invest in platforms to autonomously manage their operations, data warehouses based on the nature of their information, and Big Data platforms designed to handle large volumes of data. Additionally, they leverage artificial intelligence to make data-driven decisions. However, all of this is done with a multi-environment architecture that uses complex processes to share data among them, leading to reduced performance when handling this data. 

 

We've observed how both large and small companies face similar situations in different contexts. Therefore, the solutions are highly specific to each company, depending on their resources, environment, and objectives. What works for one company may not work for another.

Given the overwhelming

diversity of tools available to keep up with large companies and compete in the market, there is a tool that centralizes all the aforementioned elements.

Introducing Stratio Augmented Data Fabric, a tool adaptable to your company's needs based on specific requirements. It allows you to use only the necessary components to maximize your data. It's not a magic solution that solves all problems on its own; it requires effort to leverage its architecture and manage data effectively. However, it offers ease in working with data through a user-friendly interface for those not so familiar with SQL language. 

Stratio Augmented Data Fabric is a product that simplifies the construction of digital applications, placing data at the center of the organization. It features three integrated platforms covering the entire ETL process, built-in connectors facilitating connection to various data sources, an architecture for governing the obtained data, and a powerful tool called Stratio Roked for data transformations using SQL, Python, or through an interface, ideal for non-technical users. Additionally, it allows the incorporation of machine learning models into the same workflow.

Another feature is Stratio Discovery, which allows querying the data worked on in Roked to create visualizations using SQL language or an interface. These visualizations can be added to a dashboard, enabling anyone in the organization with the necessary permissions to view real-time data.

It's a solution adaptable to any type of company, whether to maximize data usage using artificial intelligence or simply to govern data and generate reports for autonomous analysis. This empowers decision-making within the company 

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