Data Inspiration

At Zeenea, we are passionate about data and technology.

In this section of our blog, you will find articles on various data trends, as well as dive into some of the top data companies that have largely inspired our data catalog software.

What is Data Profiling?

What is Data Profiling?

The purpose of any data project is to transform available data into valuable assets that will put your company on ...
5 best practices for a successful Master Data Management strategy

5 best practices for a successful Master Data Management strategy

Multiple data sources, overburdening data assets - managing data consistently and pragmatically is a daily ...
Everything you need to know about a Data Fabric

Everything you need to know about a Data Fabric

As early as 2019, the concept of a Data Fabric was identified by Gartner as a major technological trend for 2022. ...
Guide to Data Quality Management #4 – The Data Catalog contribution to DQM

Guide to Data Quality Management #4 – The Data Catalog contribution to DQM

Data Quality refers to an organization’s ability to maintain the quality of its data in time. If we were to take ...
Guide to Data Quality Management #3 – The main features of DQM tools

Guide to Data Quality Management #3 – The main features of DQM tools

Data Quality refers to an organization’s ability to maintain the quality of its data in time. If we were to take ...
Guide to Data Quality Management #2 – The challenges and risks associated with Data Quality

Guide to Data Quality Management #2 – The challenges and risks associated with Data Quality

Data Quality refers to an organization’s ability to maintain the quality of its data in time. If we were to take ...
Guide to Data Quality Management #1 – The 9 Dimensions of Data Quality

Guide to Data Quality Management #1 – The 9 Dimensions of Data Quality

Data Quality refers to an organization’s ability to maintain the quality of its data in time. If we were to take ...
What is data fragmentation and how to overcome it?

What is data fragmentation and how to overcome it?

Data-driven companies do everything they can to efficiently collect and exploit data. But if they are not careful, ...
What is the difference between a Data Architect and a Data Engineer?

What is the difference between a Data Architect and a Data Engineer?

The growing importance of data in organizations undergoing digital transformation is redefining the roles and ...
The Top 5 Data Trends to look out for in 2022

The Top 5 Data Trends to look out for in 2022

The role of data is central to corporate strategies, no matter the industry. However, the challenges related to ...
Data Sampling: create subsets for a more fluid data analysis

Data Sampling: create subsets for a more fluid data analysis

Your data culture is growing! But if the amount of data at your disposal is exploding, then you may find it ...
What if you were to embark on the path of Data Intelligence?

What if you were to embark on the path of Data Intelligence?

Better understand your data for it to be used more quickly and efficiently: this is the promise of this ...
Data Mining: definition, benefits, and uses

Data Mining: definition, benefits, and uses

You’ve collected your data. But have you prepared, organized, and prioritized it? Now you have to go even further ...
Data storytelling: how to have effective data communication

Data storytelling: how to have effective data communication

It’s been said time and time again that data can bring so much value to a company. However, in order for your data ...
The challenges and benefits of data in the healthcare industry

The challenges and benefits of data in the healthcare industry

According to a study conducted by IDC, the data production growth rate in healthcare is expected to exceed that of ...
What is Data Mesh?

What is Data Mesh?

In this new era of information, new terms are used in organizations working with data: Data Management Platform, ...
Data Lakes: The benefits and challenges

Data Lakes: The benefits and challenges

Data Lakes are increasingly used by companies for storing their enterprise data. However, storing large quantities ...
Data strategy: how to break down data silos?

Data strategy: how to break down data silos?

Whether it comes from Product life cycles, marketing, or customer relations, data is omnipresent in the daily life ...
The keys to succeed your Cloud Migration

The keys to succeed your Cloud Migration

The recent COVID-19 pandemic has brought about major changes in the work culture and the Cloud is becoming an ...
What are the differences between a Data Analyst and a Business Analyst?

What are the differences between a Data Analyst and a Business Analyst?

So similar yet, so different! The roles of a Data Analyst and a Business Analyst are very often unclear, even ...
What is a Data Product Manager?

What is a Data Product Manager?

Data Product Management has been a regular topic of discussion among Data Science, Engineering and Product ...
Data quality management: the ingredients to improve the efficiency of your data

Data quality management: the ingredients to improve the efficiency of your data

Photo credit: AkeneoHaving large volumes of data is useless if they are of poor quality. The challenge of Data ...
COVID19: The rise of digital transformations for enterprises

COVID19: The rise of digital transformations for enterprises

2020 has marked a turning point in companies' processes for digital transformation. The coronavirus and its ...
Best practices for succeeding your digital transformation

Best practices for succeeding your digital transformation

Today, data impacts all sectors; all companies are confronted with data management challenges, in one way or ...
How Total accelerated their digital transformation

How Total accelerated their digital transformation

Total, one of the 7 “SuperMajor” oil companies, has recently opened their Digital Factory earlier this year in ...
IoT in manufacturing: why your enterprise needs a data catalog

IoT in manufacturing: why your enterprise needs a data catalog

Digital transformation has become a priority in organizations' business strategies and manufacturing industries ...
How has data impacted the manufacturing industry?

How has data impacted the manufacturing industry?

The place of data is - or should be - central to a manufacturing industry’s strategy. From production flows ...
Air France: Their Big Data strategy in a hybrid cloud context

Air France: Their Big Data strategy in a hybrid cloud context

Air France-KLM is the leading group in terms of international traffic departing from Europe. The airline is a ...
What is the difference between a Data Owner and a Data Steward?

What is the difference between a Data Owner and a Data Steward?

What is the difference between a data steward and a data owner? This question comes up over and over ...
How to deploy effective data governance, adopted by everyone

How to deploy effective data governance, adopted by everyone

It is no secret that the recent global pandemic has completely changed the way people do business. In March ...
Retail 4.0: How Monoprix migrated to the Cloud

Retail 4.0: How Monoprix migrated to the Cloud

Omni-channel leader with a presence in more than 250 cities in France, Monoprix, french retail chain, offers ...
The Most used Data Management Solutions in 2020

The Most used Data Management Solutions in 2020

It is no secret that after various articles from Gartner, and other famous data and analytics consulting firms ...
The must-have roles for the perfect data & analytics team

The must-have roles for the perfect data & analytics team

As it’s been repeatedly said, digital business can not happen without data and analytics at its core. Technology ...
Data management is embracing Cloud technologies

Data management is embracing Cloud technologies

Contemporary business initiatives such as digital transformation, are facing an explosion of data volume and ...
Data Ops rules to avoid Data Oops

Data Ops rules to avoid Data Oops

Data Ops is a new way to address the deployment of data and analytics solutions.The success of this methodology ...
Everything you need to know about Data Ops

Everything you need to know about Data Ops

"Within the next year, the number of data and analytics experts in business units will grow at three times the ...
What is Data Fingerprinting and similarity detection?

What is Data Fingerprinting and similarity detection?

With the emergence of Big Data, enterprises found themselves with a colossal amount of data. In order to ...
How does data visualization bring value to an organization?

How does data visualization bring value to an organization?

Data visualization is defined as a graphical representation of data. It is used to help people understand the context and significance of their information by showing patterns, trends and correlations that may be difficult to interpret in plain text form. These visual representations can be in the form of graphs, pie charts, heat maps, sparklines, and much more.
Artificial Intelligence Conferences at AI Paris 2019

Artificial Intelligence Conferences at AI Paris 2019

As a sponsor for this year’s AI Paris 2019, we were able to attend several conferences based on artificial ...
How Big Data & Machine Learning contributed to Zalando’s success

How Big Data & Machine Learning contributed to Zalando’s success

For the second year in a row, Zeenea participated at Big Data Paris as a sponsor this past 11th and 12th ...
McDonald’s France : How Big Data changed the firm

McDonald’s France : How Big Data changed the firm

As a sponsor for the 2019 “Big Data Paris” trade show, Zeenea had the opportunity to attend to many ...
What is Data Profiling?

What is Data Profiling?

The purpose of any data project is to transform available data into valuable assets that will put your company on ...
5 best practices for a successful Master Data Management strategy

5 best practices for a successful Master Data Management strategy

Multiple data sources, overburdening data assets - managing data consistently and pragmatically is a daily ...
Everything you need to know about a Data Fabric

Everything you need to know about a Data Fabric

As early as 2019, the concept of a Data Fabric was identified by Gartner as a major technological trend for 2022. ...
Guide to Data Quality Management #4 – The Data Catalog contribution to DQM

Guide to Data Quality Management #4 – The Data Catalog contribution to DQM

Data Quality refers to an organization’s ability to maintain the quality of its data in time. If we were to take ...
Guide to Data Quality Management #3 – The main features of DQM tools

Guide to Data Quality Management #3 – The main features of DQM tools

Data Quality refers to an organization’s ability to maintain the quality of its data in time. If we were to take ...
Guide to Data Quality Management #2 – The challenges and risks associated with Data Quality

Guide to Data Quality Management #2 – The challenges and risks associated with Data Quality

Data Quality refers to an organization’s ability to maintain the quality of its data in time. If we were to take ...
Guide to Data Quality Management #1 – The 9 Dimensions of Data Quality

Guide to Data Quality Management #1 – The 9 Dimensions of Data Quality

Data Quality refers to an organization’s ability to maintain the quality of its data in time. If we were to take ...
What is data fragmentation and how to overcome it?

What is data fragmentation and how to overcome it?

Data-driven companies do everything they can to efficiently collect and exploit data. But if they are not careful, ...
What is the difference between a Data Architect and a Data Engineer?

What is the difference between a Data Architect and a Data Engineer?

The growing importance of data in organizations undergoing digital transformation is redefining the roles and ...
The Top 5 Data Trends to look out for in 2022

The Top 5 Data Trends to look out for in 2022

The role of data is central to corporate strategies, no matter the industry. However, the challenges related to ...
Data Sampling: create subsets for a more fluid data analysis

Data Sampling: create subsets for a more fluid data analysis

Your data culture is growing! But if the amount of data at your disposal is exploding, then you may find it ...
What if you were to embark on the path of Data Intelligence?

What if you were to embark on the path of Data Intelligence?

Better understand your data for it to be used more quickly and efficiently: this is the promise of this ...
Data Mining: definition, benefits, and uses

Data Mining: definition, benefits, and uses

You’ve collected your data. But have you prepared, organized, and prioritized it? Now you have to go even further ...
Data storytelling: how to have effective data communication

Data storytelling: how to have effective data communication

It’s been said time and time again that data can bring so much value to a company. However, in order for your data ...
The challenges and benefits of data in the healthcare industry

The challenges and benefits of data in the healthcare industry

According to a study conducted by IDC, the data production growth rate in healthcare is expected to exceed that of ...
What is Data Mesh?

What is Data Mesh?

In this new era of information, new terms are used in organizations working with data: Data Management Platform, ...
Data Lakes: The benefits and challenges

Data Lakes: The benefits and challenges

Data Lakes are increasingly used by companies for storing their enterprise data. However, storing large quantities ...
Data strategy: how to break down data silos?

Data strategy: how to break down data silos?

Whether it comes from Product life cycles, marketing, or customer relations, data is omnipresent in the daily life ...
The keys to succeed your Cloud Migration

The keys to succeed your Cloud Migration

The recent COVID-19 pandemic has brought about major changes in the work culture and the Cloud is becoming an ...
What are the differences between a Data Analyst and a Business Analyst?

What are the differences between a Data Analyst and a Business Analyst?

So similar yet, so different! The roles of a Data Analyst and a Business Analyst are very often unclear, even ...
What is a Data Product Manager?

What is a Data Product Manager?

Data Product Management has been a regular topic of discussion among Data Science, Engineering and Product ...
Data quality management: the ingredients to improve the efficiency of your data

Data quality management: the ingredients to improve the efficiency of your data

Photo credit: AkeneoHaving large volumes of data is useless if they are of poor quality. The challenge of Data ...
COVID19: The rise of digital transformations for enterprises

COVID19: The rise of digital transformations for enterprises

2020 has marked a turning point in companies' processes for digital transformation. The coronavirus and its ...
Best practices for succeeding your digital transformation

Best practices for succeeding your digital transformation

Today, data impacts all sectors; all companies are confronted with data management challenges, in one way or ...
How Total accelerated their digital transformation

How Total accelerated their digital transformation

Total, one of the 7 “SuperMajor” oil companies, has recently opened their Digital Factory earlier this year in ...
IoT in manufacturing: why your enterprise needs a data catalog

IoT in manufacturing: why your enterprise needs a data catalog

Digital transformation has become a priority in organizations' business strategies and manufacturing industries ...
How has data impacted the manufacturing industry?

How has data impacted the manufacturing industry?

The place of data is - or should be - central to a manufacturing industry’s strategy. From production flows ...
Air France: Their Big Data strategy in a hybrid cloud context

Air France: Their Big Data strategy in a hybrid cloud context

Air France-KLM is the leading group in terms of international traffic departing from Europe. The airline is a ...
What is the difference between a Data Owner and a Data Steward?

What is the difference between a Data Owner and a Data Steward?

What is the difference between a data steward and a data owner? This question comes up over and over ...
How to deploy effective data governance, adopted by everyone

How to deploy effective data governance, adopted by everyone

It is no secret that the recent global pandemic has completely changed the way people do business. In March ...
Retail 4.0: How Monoprix migrated to the Cloud

Retail 4.0: How Monoprix migrated to the Cloud

Omni-channel leader with a presence in more than 250 cities in France, Monoprix, french retail chain, offers ...
The Most used Data Management Solutions in 2020

The Most used Data Management Solutions in 2020

It is no secret that after various articles from Gartner, and other famous data and analytics consulting firms ...
The must-have roles for the perfect data & analytics team

The must-have roles for the perfect data & analytics team

As it’s been repeatedly said, digital business can not happen without data and analytics at its core. Technology ...
Data management is embracing Cloud technologies

Data management is embracing Cloud technologies

Contemporary business initiatives such as digital transformation, are facing an explosion of data volume and ...
Data Ops rules to avoid Data Oops

Data Ops rules to avoid Data Oops

Data Ops is a new way to address the deployment of data and analytics solutions.The success of this methodology ...
Everything you need to know about Data Ops

Everything you need to know about Data Ops

"Within the next year, the number of data and analytics experts in business units will grow at three times the ...
What is Data Fingerprinting and similarity detection?

What is Data Fingerprinting and similarity detection?

With the emergence of Big Data, enterprises found themselves with a colossal amount of data. In order to ...
How does data visualization bring value to an organization?

How does data visualization bring value to an organization?

Data visualization is defined as a graphical representation of data. It is used to help people understand the context and significance of their information by showing patterns, trends and correlations that may be difficult to interpret in plain text form. These visual representations can be in the form of graphs, pie charts, heat maps, sparklines, and much more.
Artificial Intelligence Conferences at AI Paris 2019

Artificial Intelligence Conferences at AI Paris 2019

As a sponsor for this year’s AI Paris 2019, we were able to attend several conferences based on artificial ...
How Big Data & Machine Learning contributed to Zalando’s success

How Big Data & Machine Learning contributed to Zalando’s success

For the second year in a row, Zeenea participated at Big Data Paris as a sponsor this past 11th and 12th ...
McDonald’s France : How Big Data changed the firm

McDonald’s France : How Big Data changed the firm

As a sponsor for the 2019 “Big Data Paris” trade show, Zeenea had the opportunity to attend to many ...
What is Data Profiling?

What is Data Profiling?

The purpose of any data project is to transform available data into valuable assets that will put your company on ...
5 best practices for a successful Master Data Management strategy

5 best practices for a successful Master Data Management strategy

Multiple data sources, overburdening data assets - managing data consistently and pragmatically is a daily ...
Everything you need to know about a Data Fabric

Everything you need to know about a Data Fabric

As early as 2019, the concept of a Data Fabric was identified by Gartner as a major technological trend for 2022. ...
Guide to Data Quality Management #4 – The Data Catalog contribution to DQM

Guide to Data Quality Management #4 – The Data Catalog contribution to DQM

Data Quality refers to an organization’s ability to maintain the quality of its data in time. If we were to take ...
Guide to Data Quality Management #3 – The main features of DQM tools

Guide to Data Quality Management #3 – The main features of DQM tools

Data Quality refers to an organization’s ability to maintain the quality of its data in time. If we were to take ...
Guide to Data Quality Management #2 – The challenges and risks associated with Data Quality

Guide to Data Quality Management #2 – The challenges and risks associated with Data Quality

Data Quality refers to an organization’s ability to maintain the quality of its data in time. If we were to take ...
Guide to Data Quality Management #1 – The 9 Dimensions of Data Quality

Guide to Data Quality Management #1 – The 9 Dimensions of Data Quality

Data Quality refers to an organization’s ability to maintain the quality of its data in time. If we were to take ...
What is data fragmentation and how to overcome it?

What is data fragmentation and how to overcome it?

Data-driven companies do everything they can to efficiently collect and exploit data. But if they are not careful, ...
What is the difference between a Data Architect and a Data Engineer?

What is the difference between a Data Architect and a Data Engineer?

The growing importance of data in organizations undergoing digital transformation is redefining the roles and ...
The Top 5 Data Trends to look out for in 2022

The Top 5 Data Trends to look out for in 2022

The role of data is central to corporate strategies, no matter the industry. However, the challenges related to ...
Data Sampling: create subsets for a more fluid data analysis

Data Sampling: create subsets for a more fluid data analysis

Your data culture is growing! But if the amount of data at your disposal is exploding, then you may find it ...
What if you were to embark on the path of Data Intelligence?

What if you were to embark on the path of Data Intelligence?

Better understand your data for it to be used more quickly and efficiently: this is the promise of this ...
Data Mining: definition, benefits, and uses

Data Mining: definition, benefits, and uses

You’ve collected your data. But have you prepared, organized, and prioritized it? Now you have to go even further ...
Data storytelling: how to have effective data communication

Data storytelling: how to have effective data communication

It’s been said time and time again that data can bring so much value to a company. However, in order for your data ...
The challenges and benefits of data in the healthcare industry

The challenges and benefits of data in the healthcare industry

According to a study conducted by IDC, the data production growth rate in healthcare is expected to exceed that of ...
What is Data Mesh?

What is Data Mesh?

In this new era of information, new terms are used in organizations working with data: Data Management Platform, ...
Data Lakes: The benefits and challenges

Data Lakes: The benefits and challenges

Data Lakes are increasingly used by companies for storing their enterprise data. However, storing large quantities ...
Data strategy: how to break down data silos?

Data strategy: how to break down data silos?

Whether it comes from Product life cycles, marketing, or customer relations, data is omnipresent in the daily life ...
The keys to succeed your Cloud Migration

The keys to succeed your Cloud Migration

The recent COVID-19 pandemic has brought about major changes in the work culture and the Cloud is becoming an ...
What are the differences between a Data Analyst and a Business Analyst?

What are the differences between a Data Analyst and a Business Analyst?

So similar yet, so different! The roles of a Data Analyst and a Business Analyst are very often unclear, even ...
What is a Data Product Manager?

What is a Data Product Manager?

Data Product Management has been a regular topic of discussion among Data Science, Engineering and Product ...
Data quality management: the ingredients to improve the efficiency of your data

Data quality management: the ingredients to improve the efficiency of your data

Photo credit: AkeneoHaving large volumes of data is useless if they are of poor quality. The challenge of Data ...
COVID19: The rise of digital transformations for enterprises

COVID19: The rise of digital transformations for enterprises

2020 has marked a turning point in companies' processes for digital transformation. The coronavirus and its ...
Best practices for succeeding your digital transformation

Best practices for succeeding your digital transformation

Today, data impacts all sectors; all companies are confronted with data management challenges, in one way or ...
How Total accelerated their digital transformation

How Total accelerated their digital transformation

Total, one of the 7 “SuperMajor” oil companies, has recently opened their Digital Factory earlier this year in ...
IoT in manufacturing: why your enterprise needs a data catalog

IoT in manufacturing: why your enterprise needs a data catalog

Digital transformation has become a priority in organizations' business strategies and manufacturing industries ...
How has data impacted the manufacturing industry?

How has data impacted the manufacturing industry?

The place of data is - or should be - central to a manufacturing industry’s strategy. From production flows ...
Air France: Their Big Data strategy in a hybrid cloud context

Air France: Their Big Data strategy in a hybrid cloud context

Air France-KLM is the leading group in terms of international traffic departing from Europe. The airline is a ...
What is the difference between a Data Owner and a Data Steward?

What is the difference between a Data Owner and a Data Steward?

What is the difference between a data steward and a data owner? This question comes up over and over ...
How to deploy effective data governance, adopted by everyone

How to deploy effective data governance, adopted by everyone

It is no secret that the recent global pandemic has completely changed the way people do business. In March ...
Retail 4.0: How Monoprix migrated to the Cloud

Retail 4.0: How Monoprix migrated to the Cloud

Omni-channel leader with a presence in more than 250 cities in France, Monoprix, french retail chain, offers ...
The Most used Data Management Solutions in 2020

The Most used Data Management Solutions in 2020

It is no secret that after various articles from Gartner, and other famous data and analytics consulting firms ...
The must-have roles for the perfect data & analytics team

The must-have roles for the perfect data & analytics team

As it’s been repeatedly said, digital business can not happen without data and analytics at its core. Technology ...
Data management is embracing Cloud technologies

Data management is embracing Cloud technologies

Contemporary business initiatives such as digital transformation, are facing an explosion of data volume and ...
Data Ops rules to avoid Data Oops

Data Ops rules to avoid Data Oops

Data Ops is a new way to address the deployment of data and analytics solutions.The success of this methodology ...
Everything you need to know about Data Ops

Everything you need to know about Data Ops

"Within the next year, the number of data and analytics experts in business units will grow at three times the ...
What is Data Fingerprinting and similarity detection?

What is Data Fingerprinting and similarity detection?

With the emergence of Big Data, enterprises found themselves with a colossal amount of data. In order to ...
How does data visualization bring value to an organization?

How does data visualization bring value to an organization?

Data visualization is defined as a graphical representation of data. It is used to help people understand the context and significance of their information by showing patterns, trends and correlations that may be difficult to interpret in plain text form. These visual representations can be in the form of graphs, pie charts, heat maps, sparklines, and much more.
Artificial Intelligence Conferences at AI Paris 2019

Artificial Intelligence Conferences at AI Paris 2019

As a sponsor for this year’s AI Paris 2019, we were able to attend several conferences based on artificial ...
How Big Data & Machine Learning contributed to Zalando’s success

How Big Data & Machine Learning contributed to Zalando’s success

For the second year in a row, Zeenea participated at Big Data Paris as a sponsor this past 11th and 12th ...
McDonald’s France : How Big Data changed the firm

McDonald’s France : How Big Data changed the firm

As a sponsor for the 2019 “Big Data Paris” trade show, Zeenea had the opportunity to attend to many ...
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