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What Is Data Intelligence? Definiton, Overview, and Benefits
What is Data Intelligence? Definition and Benefits Data Intelligence (DI) is becoming increasingly crucial in today's digital age- it is no longer a luxury but a necessity for many industries, including finance, healthcare, insurance, cybersecurity, and public...
Data Governance in Healthcare: Overview, tools, and challenges
Data Governance in Healthcare: Overview, tools, and challenges Data governance is vital to managing and utilizing data in the healthcare industry. The vast amount of data generated by electronic health records, clinical trials, and other sources have the potential to...
Data Catalog vs. Data Dictionary: What are the differences?
Data Catalog vs. Data Dictionary: What are the differences? Data management is an essential aspect of any organization, large or small. Having a clear understanding of the data you have, how it is organized, and how it is used is crucial for effective decision-making...
Metadata Management Best Practices: DataGalaxy’s Complete Guide
Metadata Management Best Practices: The Complete Guide It's no secret that finding the right information in your organization's vast sea of data is no walk in the park. When it comes to efficient and meaningful metadata management, you don't have to be lost! We...
Data Democracy 101: Benefits and Challenges
Data Democracy 101: Benefits and Challenges In today's digital age, data is a crucial asset for businesses of all sizes. It helps organizations make informed decisions, optimize operations, and stay competitive in their respective industries. However, access to data...
What is DataOps? Definition, Role, and Responsibilities
What is DataOps? Definition, Roles, and Responsibilities DataOps (or Data Operations) is a modern practice in data management at the crossroads of DevOps and Data Science. This practice, which is critical to digital transformation and the growth of data-driven...
Expert opinion: DataGalaxy’s holacracy data governance approach trumps low-adoption platforms
DataGalaxy's holacracy data governance approach trumps low-adoption platforms As organizations seek to unlock the value of their data assets, the data governance space is experiencing a surge in technological innovation. With data volumes doubling at an unprecedented...
DataOps vs. DevOps: What Are The Key Differences?
DataOps and DevOps are terms often used interchangeably, but they refer to distinct approaches to software development and management. While DevOps focuses on improving collaboration and communication between developers and IT operations teams, the former focuses on...
The Role of Data Governance in a Data Mesh
The role of data governance in a data mesh Are you ready to unleash the full potential of your organization's data? A data mesh is more than just a set of rules – it's a holistic approach to data governance that promotes collaboration and drives data-driven...
Data Catalog vs. Business Glossary vs. Data Dictionary
Data Catalog vs. Business Glossary vs. Data Dictionary Creating a data culture has become a must for organizations heading into 2023, and the first step is to stock up on the necessary tools. But it is easy to get lost! Between data catalogs, business glossaries, and...
Data Swamp vs. Data Lake: Everything You Need to Know
Data Swamp vs. Data Lake: Everything You Need to Know The value of enterprise data is undeniable. Data is the real issue for any sales or marketing strategy. It should be noted, however, that there are various types of data and storage methods: including data swamp...
What is a Data Glossary? 4 Key Benefits
Building a common business vocabulary is critical for fostering data-driven decision-making within an organization. When a multitude of conflicting terms and definitions are used, this process becomes more complicated. That is why it is critical to have a data...
Data Governance: The Solution for Better Data Quality
Data Governance: The Solution for Better Data Quality Data quality and data governance go hand in hand, and it's virtually impossible to have one without the other. So, how does data governance impact data quality, and vice versa? Let's take a look. Common data...
Active Metadata Management: Why Is It Key to a Modern Data Stack?
Active metadata management: What is it, and why is it key to a modern data stack? Active metadata management is a new type of data management in which active metadata is used to give clear and understandable information to support business decisions. Gartner defines...
What is Metadata Management?
What is metadata management? Everything you need to know In the age of big data, sound data management is essential for organizations. But that's not all: metadata must also be addressed. So, what does the management of metadata entail? How is it done? And what are...
What is Data Lineage? Overview and Key Benefits
What is Data Lineage? Overview and Key Benefits Data Lineage allows you to visualize the life cycle of data through a clear mapping and is a highly sought-after feature of the Data Catalog. Defining the origins and transformations of data is an essential step in any...
Data Catalog: Top 5 Reasons Why You Need to Adopt One in 2023
5 Top Reasons You Need to Adopt a Data Catalog in 2023 Data catalogs store information on all of the company's data in one place. They collect data in a single repository and organize, analyze, and distribute the accompanying metadata. Without a data catalog, it will...
What is Reference Data? Definition, Examples, and Benefits
What is Reference Data? Definition, Examples, and Benefits Knowing how to easily identify, list, and access reference data has become a must-have skill for any company that seeks to be data-driven. So, what is reference data and what implications does it hold for your...
What is a Data Mesh? History and Overview
What is a Data Mesh? History and Overview Data Mesh is a sociotechnical approach to data architecture in which independent domain teams hold and maintain responsibility for managing their own data. With the transformation of raw data into highly relevant analytical...
Data Management: How to Extract Value From Your Data
Data management: How to extract value from your data Data management: Coping with the influx of data There are three elements that characterize Big Data: volume, velocity, and variety. Of the three, volume is becoming a greater concern for companies: the amount of...
Data Governance: 10 Best Practices for Success
Data Governance: 10 Best Practices for Success If your organization is heading into 2023 without a robust data governance plan in place, now is the time to reconsider. Not only does data governance improve your data quality, but it also has a significant impact on...
Data-Driven Culture: 7 Key Points
Data-Driven Culture: 7 Key Points The data revolution is profoundly transforming companies and their organizations. Going into 2023, thriving in this digital world is impossible without a data-driven mindset. While it can be difficult to know where to start, there are...
Data Management vs. Data Governance: Why You Need Both
Data Management vs. Data Governance Managing corporate data is a complex challenge, but securing and controlling data access for each company's employees is necessary. Both data governance and data management are incredibly vital to the company, but how do they depend...
Why Master Data Management Is Important
Why Master Data Management Is Important Simply put, master data management helps you manage the company's master data. Find out everything you need to know about master data management, from its qualities to its limitations. What is Master Data Management? Reference...
Data Governance Strategy: 4 Key Steps
Data Governance Strategy: 4 Key Steps How do you ensure your data governance strategy has a real and lasting impact on your business? There is no magic formula, but these four key steps should help you create a foundation for data governance that fits your needs. #1...
Who Should Be Using a Data Catalog in 2022?
Who Should Be Using a Data Catalog in 2022? Nothing is more important for a data-driven company than a data catalog. Why is it so important? Essential for those who work with data daily, this tool allows you to collect, organize and standardize a company's data. So,...
Top 10 Challenges for Chief Data Officers in 2023
Top 10 Challenges for Chief Data Officers in 2023 The Chief Data Officer (CDO) role is becoming an increasingly critical role. Previously, it was only assigned as an additional responsibility, but it has quickly become a full-time role in most organizations. So, what...
5 Best Practices for Successful Data Quality
Successful Data Quality: 5 Best Practices Data quality is an essential element in your data governance strategy. This means taking the time to develop quality rules to use optimal data that teams will trust. Here are our top 5 tips for creating standard rules for...
Data Governance: Everything You Need to Know
Data Governance: Definition and Overview What is Data Governance? Data governance is defined as "the process of managing the availability, usability, integrity and security of the data in enterprise systems." Simply put, data governance covers all the rules and...
What is a Data Catalog? Definition, Benefits and Use Cases
What is a Data Catalog? Definition, Benefits and Use Cases Have you ever wondered what a data catalog is or why it’s so important for making smart business decisions? Below, we explain what information a data catalog holds and how it will help your team make faster...
White Paper
Data Catalog: The Complete Guide
White Paper: Data Catalog: The Complete Guide The data catalog is the basis of your company’s data governance. This downloadable white paper is a complete presentation of the Data Catalog, its challenges and its functionalities. A must-read before starting Data...
Agility is key to Data Governance: DataGalaxy shows you why
Agility is key to Data Governance: DataGalaxy shows you why The decades-old waterfall approach to data governance no longer meets the requirements of our dynamic, fast-changing world. When it comes to data governance, learn how the agile approach can support...
Why Metadata Management is a Necessity in 2023
Why metadata management is no longer an option For the second time, Gartner has devoted a study to metadata management tools. For the firm’s analysts, metadata and its management is the new Holy Grail to finally enhance the value of corporate data thanks to an...
GDPR: Everything You Need To Know
GDPR: Everything You Need To Know GDPR. Behind this acronym lies a regulation that has become essential in the age of all-digitality. The GDPR is the legal framework surrounding the sensitive issue of protecting the personal data of European citizens. This data that...
Data & Metadata: The Impossible Separation!
Data & Metadata: The Impossible Separation! Although invisible and discreet, the data surrounds us and feeds us largely according to our research and daily needs. Companies are increasingly aware of the stakes it represents. Data only needs to be organized, stored...
Data Management: How to be More Agile and Collaborate More
Data Management: How to be More Agile and Collaborate More Tomorrow’s business will be collaborative… or it may not be. To meet the challenges of digitalization, it will have to integrate more effectively the notions of collaborative web and agility in the...
Data Mapping: Everything You Need to Know
Data Mapping: Everything You Need to Know Data is an incredibly powerful tool. To unleash the full potential of data, it must be analyzed, sorted, segmented, and qualified. However, data must be made accessible and used by everyone in the company without any technical...
The ideal data governance solution in 3 steps
The ideal data governance solution in 3 steps Data governance, a major axis of data-driven business transformation, is the cause of many malfunctions and errors during data governance transformation projects. DataGalaxy's data governance solution is a platform...
