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grow with analytics

AI Machine Learning

Enterprise Integration

Business Intelligence

Power of Analytics

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AI Machine Learning

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Enterprise Integration

Spreadsheet is not over, but the era of extracting spreadsheet to load on other platforms is over.

We live in a computerized world capable of automating a good part of the company’s processes, interconnecting systems today is a reality.

Data integration is a complex process that consists of cleaning, harmonizing and enriching data that already exists in your company, but located in different systems. Associating your information with commercial, financial, human resources, Purchasing and Sales information gives you a broader and more complete view of the data, reduced processing costs and greater efficiency.

In the end, it will contribute to the generation of greater knowledge of your business. Stop wasting time with daily or monthly routine tasks, think of a final solution that adds the time needed for tasks with greater value.

Business Intelligence

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Power of Analytics
Hire our experts

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Data Scientists

The website Dela is said to be the sexiest profession of the 21st century. The need for companies to derive greater value from their data, to organize and interpret it to generate results, leveraged the search for a professional profile that is as difficult to find and recruit as it is to define.

 

Data Scientists: who they are and why they are so wanted”

 

Who are these data scientists who are successively at the top of the rankings of professions with the most demand in the future and what skills do they have?

The definition is not linear. Basically they are people with the ability to perceive the business through data, essential skills for most organizations today: analytical skills, mastery of statistical tools, technological knowledge and good communication skills.

Mastery of statistical and predictive data, technological guidance, mastery of big data tools are often too many skills to demand from just one professional. But it is said that this is when it comes to data scientists and that is why it is difficult to find them.

The role of the data scientist is first of all to ask the right questions and “as a general rule when it takes time to get results or conclusions, it is because the analysis set we have defined to analyze a given problem is not the correct one and we have to look at the problem of another way and from another question ”.

In this sense, data scientists are people capable of optimizing the entire decision-making process of a company, through mathematical processes.

Data Engineer

“Data Engineer is someone specializing in Software Engineer who enables others to answer questions about large volumes of data linked to various databases or software.”

Data Engineers are able to use knowledge in computer science to manipulate large amounts of data. In addition, it can create systems, solve data processing problems and offer Big Data solutions so that Data Scientists can make analyzes more assertively.

How many processes in your company take days or weeks to process, why can’t these processes be automated these days?

Data Stewarts

The website Dela is said to be the sexiest profession of the 21st century. The need for companies to derive greater value from their data, to organize and interpret it to generate results, leveraged the search for a professional profile that is as difficult to find and recruit as it is to define.

 

Data Scientists: who they are and why they are so wanted”

 

Who are these data scientists who are successively at the top of the rankings of professions with the most demand in the future and what skills do they have?

The definition is not linear. Basically they are people with the ability to perceive the business through data, essential skills for most organizations today: analytical skills, mastery of statistical tools, technological knowledge and good communication skills.

Mastery of statistical and predictive data, technological guidance, mastery of big data tools are often too many skills to demand from just one professional. But it is said that this is when it comes to data scientists and that is why it is difficult to find them.

The role of the data scientist is first of all to ask the right questions and “as a general rule when it takes time to get results or conclusions, it is because the analysis set we have defined to analyze a given problem is not the correct one and we have to look at the problem of another way and from another question ”.

In this sense, data scientists are people capable of optimizing the entire decision-making process of a company, through mathematical processes.

What is a Data Stewart
“Simply put, the data steward is called as the“ go to ”guy for everyone who works with data in the organization”

The group formed by Data Stewards, responsible for data in the different areas of the organization, is known as Data Stewardship.

The person who will know all the data of the company, manages to interpret in order to relate different business areas in order to add value.

The main objective of Data Stewardship is to ensure that the organization’s data is reliable, complete and of good quality

Set of databases on a given subject. Eg Cards, Insurance, Investments. The area of ​​Data Domains can be carried out based on systems, business lines or in a way that reflects the division of matters in the organization.
Request a quote for one month now for the experience in which one of our data stewards helps.

All companies will evolve a data department with several Data Stewarts, start today to understand what they can help your business with.

Request a free quote