Data Centric: What it is and how to be a data-centric organization
Posted: Sat Dec 07, 2024 10:33 am
Beyond promoting faster and more accurate decision-making, Data Centric architecture helps you mitigate costs by reducing task repetition and resource misuse. Learn more about this data-centric approach by accessing our post right now.
Melina Pereda
Jan 18, 22 | 7 min read
Reading time: 6 minutes
Data is one of the most important assets in today's organizations. Guiding decisions and planning strategies —such as marketing strategies— taking into account a Data Centric culture allows you to move forward in markets, optimize internal processes, and take financial results to the next level.
If you have entered our post with the intention of learning more about the topic, you chose well, because you came to the right place!
In the following paragraphs, in addition to finding list of turkey consumer email relevant information about the benefits of Data Centric in business strategies, you will access a robust guide to become a benchmark in terms of business in this culture.
Keep reading!
What is a Data Centric Organization?
Principles of a Data Centric architecture
What are the most notable benefits?
Essential tips to become a Data Centric company
What is a Data Centric Organization?
Data is a powerful ally for the growth and success of a business. In fact, being guided by a set of reliable, quantifiable elements that generate robust information favors strategic, administrative and operational practices.
Likewise, the Data Centric dynamic strengthens the brand's position in its sector by planning and executing sales strategies in line with the characteristics, needs and preferences of the target audience. This has a direct impact on the consumer journey and, consequently, on the shopping experience .
But, ultimately, what does it mean to be a Data Centric company?
To facilitate your understanding, it is important to clarify that promoting a Data Driven culture depends on the implementation of a Data Centric architecture , that is, focused on data.
In short, to be data-driven, we need to position data at the core of corporate activities, structuring an integrated governance process and treating data as a permanent and shared asset.
From this perspective, data-centric architecture is a business approach that places data as a central component of its infrastructure.
In turn, technology is an element that is arranged around this data and is used to meet the demands of information in terms of flow, analysis and use in favor of true, effective insights that are in line with business needs.
Principles of a Data Centric architecture
Given the importance of having a document that guides businesses regarding the use of data as strategic assets, many business leaders and technology professionals signed a manifesto aimed at clearing up a series of doubts and clarifying the data landscape in the current corporate scenario, known as the Data Centric Manifesto .
Reading it carefully, we can find the principles of a Data Centric architecture developed in a time of frank confusion given the enormous flow of information in large companies.
According to the companies and experts who signed the manifesto, this confusion is due to the fact that most organizations prioritize applications instead of data.
Below we outline the principles present in the Data Centric Manifesto:
Data as an essential asset of any company;
Data is self-descriptive, so it does not need applications to interpret it;
Data is expressed in open format;
Responsibility for data security depends on the data layer;
Applications access the data and express results in the data layer.
Knowing these principles, it is clear that the implementation of this type of architecture depends largely on a profound change of mentality in organizations.
In this way, with the appropriate structuring of this type of architecture and the start of a Data Driven culture, we can integrate internal and external data in order to refine and optimize decision-making, in the same way as internal processes.
What are the most notable benefits?
Recognizing data as a powerful business asset is an essential step to generate increasingly attractive results, strengthen the position and optimize the profitability of companies.
Thus, we can say that adopting a Data Centric dynamic ensures the achievement of numerous benefits such as :
Increasingly integrated data
When we consider only a data-driven model, data can originate from different sources and be presented in different formats.
However, by implementing a data-centric approach, data is presented in a standard format and catalogued in a database. This enables applications to be built around data, thus promoting increasingly consistent, reliable and accurate analysis.
Increasing information security
With an application-centric approach, when migrating data from obsolete technologies to new tools, data can be left unprotected, thus increasing its vulnerability.
Conversely, with a Data Centric approach, companies prevent access by malicious third parties and the occurrence of theft, kidnapping and violations by using solid access policies.
In fact, structuring a strong and efficient data architecture makes it possible to identify sensitive data and apply measures in line with the need for protection.
Melina Pereda
Jan 18, 22 | 7 min read
Reading time: 6 minutes
Data is one of the most important assets in today's organizations. Guiding decisions and planning strategies —such as marketing strategies— taking into account a Data Centric culture allows you to move forward in markets, optimize internal processes, and take financial results to the next level.
If you have entered our post with the intention of learning more about the topic, you chose well, because you came to the right place!
In the following paragraphs, in addition to finding list of turkey consumer email relevant information about the benefits of Data Centric in business strategies, you will access a robust guide to become a benchmark in terms of business in this culture.
Keep reading!
What is a Data Centric Organization?
Principles of a Data Centric architecture
What are the most notable benefits?
Essential tips to become a Data Centric company
What is a Data Centric Organization?
Data is a powerful ally for the growth and success of a business. In fact, being guided by a set of reliable, quantifiable elements that generate robust information favors strategic, administrative and operational practices.
Likewise, the Data Centric dynamic strengthens the brand's position in its sector by planning and executing sales strategies in line with the characteristics, needs and preferences of the target audience. This has a direct impact on the consumer journey and, consequently, on the shopping experience .
But, ultimately, what does it mean to be a Data Centric company?
To facilitate your understanding, it is important to clarify that promoting a Data Driven culture depends on the implementation of a Data Centric architecture , that is, focused on data.
In short, to be data-driven, we need to position data at the core of corporate activities, structuring an integrated governance process and treating data as a permanent and shared asset.
From this perspective, data-centric architecture is a business approach that places data as a central component of its infrastructure.
In turn, technology is an element that is arranged around this data and is used to meet the demands of information in terms of flow, analysis and use in favor of true, effective insights that are in line with business needs.
Principles of a Data Centric architecture
Given the importance of having a document that guides businesses regarding the use of data as strategic assets, many business leaders and technology professionals signed a manifesto aimed at clearing up a series of doubts and clarifying the data landscape in the current corporate scenario, known as the Data Centric Manifesto .
Reading it carefully, we can find the principles of a Data Centric architecture developed in a time of frank confusion given the enormous flow of information in large companies.
According to the companies and experts who signed the manifesto, this confusion is due to the fact that most organizations prioritize applications instead of data.
Below we outline the principles present in the Data Centric Manifesto:
Data as an essential asset of any company;
Data is self-descriptive, so it does not need applications to interpret it;
Data is expressed in open format;
Responsibility for data security depends on the data layer;
Applications access the data and express results in the data layer.
Knowing these principles, it is clear that the implementation of this type of architecture depends largely on a profound change of mentality in organizations.
In this way, with the appropriate structuring of this type of architecture and the start of a Data Driven culture, we can integrate internal and external data in order to refine and optimize decision-making, in the same way as internal processes.
What are the most notable benefits?
Recognizing data as a powerful business asset is an essential step to generate increasingly attractive results, strengthen the position and optimize the profitability of companies.
Thus, we can say that adopting a Data Centric dynamic ensures the achievement of numerous benefits such as :
Increasingly integrated data
When we consider only a data-driven model, data can originate from different sources and be presented in different formats.
However, by implementing a data-centric approach, data is presented in a standard format and catalogued in a database. This enables applications to be built around data, thus promoting increasingly consistent, reliable and accurate analysis.
Increasing information security
With an application-centric approach, when migrating data from obsolete technologies to new tools, data can be left unprotected, thus increasing its vulnerability.
Conversely, with a Data Centric approach, companies prevent access by malicious third parties and the occurrence of theft, kidnapping and violations by using solid access policies.
In fact, structuring a strong and efficient data architecture makes it possible to identify sensitive data and apply measures in line with the need for protection.