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Aligning Data Governance to Support Business Line Objectives: A Guide
Aligning Data Governance to Support Business Line Objectives Successful businesses recognize the strategic value of data. But to capitalize on the immense value data can bring to their organization, businesses are also realizing that they must establish a data culture...
Top Data Trends 2023: Value Optimization
Top Data Trends 2023: Value Optimization It’s one thing to manage your data; It’s another thing entirely to gather actionable insights and derive value from your data sets to help your organization flourish. Value optimization of data can help companies deepen their...
CDO Mind Map: Collaboration & Change Management
CDO Mind Map: Collaboration & Change Management Welcome to Mind Map: A DataGalaxy blog series where we’ll deep dive into creating an effective, secure, and high-quality data governance framework for data experts, project coordinators, and data decision-makers. In...
Gartner Recap – Top Trends in Data and Analytics for 2023
Gartner Recap - Top Trends in Data and Analytics for 2023 In 2023, the field of data and analytics shifted its focus from managing data and producing insights to delivering tangible value to organizations. Understanding the recent top trends in data and analytics...
Top Data Trends 2023: Human & AI Integration
Top Data Trends 2023: Human & AI Integration Artificial intelligence is undoubtedly one of the hottest topics in the big data space today, and its importance will only increase in the coming years. With the growing use of AI, new risks are emerging related to...
CDO Mind Map: Establish a Data Governance Team
CDO Mind Map: Establish a Data Governance Team Welcome to Mind Map: A DataGalaxy blog series where we’ll deep dive into creating an effective, secure, and high-quality data governance framework for data experts, project coordinators, and data decision-makers. In this...
CDO Mind Map: Understanding Business Goals and Objectives
CDO Mind Map: Understanding Business Goals and Objectives Welcome to Mind Map: A DataGalaxy blog series where we’ll deep dive into creating an effective, secure, and high-quality data governance framework for data experts, project coordinators, and data...
A Complete Guide to Data Governance in Manufacturing
A Complete Guide to Data Governance in Manufacturing Data powers manufacturing - From driving more efficient and effective collaboration among manufacturers, suppliers, and distributors to improving customer experiences and monitoring environmental impact and supplier...
5 Key Learnings from DataGalaxy’s CDO Masterclass Season 3
5 Key Learnings from DataGalaxy’s CDO Masterclass Season 3 DataGalaxy’s CDO Masterclass is an immersive, recurring three-day online experience that gives data professionals a unique opportunity to learn from the world’s top brands leading data-driven transformation....
8 Pillars of Data Governance Frameworks
8 Pillars Of A Successful Data Governance Framework Data governance is a critical component of any organization's data management strategy. It provides a structured framework for establishing policies, procedures, and controls to...
Defining The 7 Core Principles Of Data Governance
Defining The 7 Core Principles Of Data Governance In an age where data is regarded as a valuable asset, understanding and implementing effective data governance is paramount. In essence, data governance refers to the practices and processes organizations use to...
Data Governance vs. Data Management
Data Governance vs. Data Management The digital landscape is evolving, and with it, the importance of effectively managing and governing data. As organizations strive to harness the value of their data, two concepts often come to the forefront: data governance and...
7 Most Important Data Catalog Features You Should Know
7 Most Important Data Catalog Features You Should Know In today's data-centric business environment, a data catalog plays an integral role in helping organizations manage their data assets effectively. Essentially, a data catalog serves as a centralized inventory for...
The Importance of Data Governance for Businesses
The Importance of Data Governance for Businesses Data governance is the process of managing the availability, usability, integrity and security of the data in enterprise systems. Simply put data governance is an organizational framework that sets out how businesses...
The Data Engineer’s Role in Data Governance
The Data Engineer's Role in Data Governance With much focus on data analysis and insights, it can be easy to overlook the infrastructure that supports it. Yet, without a well-structured infrastructure, data lacks a functional foundation. Focused on creating and...
What Is A Data Management Framework?
What Is A Data Management Framework? In an era where data drives almost every aspect of business operations, understanding how to manage it becomes paramount. Data management frameworks create a cohesive set of standards, policies, and procedures that ensure data is...
Infonomics: Monetize, Manage, and Utilize Data as an Asset
Infonomics: Monetize, Manage, and Utilize Data as an Asset Infonomics is the theory, study, and discipline of attributing economic significance to information and data. It strives to apply economic and asset management principles to the valuation, handling, and...
Data Governance in Retail: Best Practices
Data Governance Best Practices for Retailers Exceptional customer experiences are a hallmark of successful retailers - It can help ensure stores provide curated recommendations, deliver unique shopping experiences, and protect and secure personal data. Many retailers...
Cloud Data Management: Benefits and Core Components
Cloud Data Management: Benefits and Core Components In the vast landscape of data management, the advent of cloud technology has led to transformative changes. Cloud data management has emerged as a pivotal part of comprehensive data management best practices. This...
Data Governance vs. Information Governance
Data Governance vs. Information Governance While data governance vs. information governance are terms often used interchangeably, they represent different, albeit overlapping, concepts in the realm of data management. It's essential to understand the distinction...
Data Scientist Key Roles: From Analytics to Governance
Data Scientist Key Roles: From Analytics to Governance The demand for Data Scientists is booming due to the rapid increase in data generation and speed - The Bureau of Labor Statistics predicts that Data Scientist roles will grow 36% by 2031. But what, exactly, do...
Reference Data Management 101: Definition & Benefits
Reference Data Management 101: Definition & Benefits In today's world, data is the driving force behind successful businesses. Efficient data management, particularly reference data management, is therefore key to making informed decisions and driving growth. This...
Business Intelligence Manager Roles: Current and Future
Business Intelligence Managers: Current and Future Roles Business Intelligence has evolved significantly over the past few decades. From its roots as a collection of reporting tools, Business Intelligence has evolved into a term to describe sophisticated analytics...
8 Data Management Best Practices & Strategies That Work
8 Data Management Best Practices & Strategies That Work In the era of big data, understanding and implementing effective data management best practices is crucial for businesses of all sizes. Companies that can effectively manage, analyze, and leverage their data...
7 Benefits Of Data Governance For Your Organization
7 Great Benefits Of Data Governance For Your Organization In a world where data has become more vital than ever, understanding how to effectively manage and utilize this resource is essential. One approach that continues to gain attention is data governance. The...
10 Benefits Of Data Governance for the Banking Industry
10 Benefits Of Data Governance for the Banking Industry Data has become the lifeblood of the banking industry. With the exponential growth of data, ensuring its proper management, security, and utilization is crucial for banks. This is where data governance comes into...
Using a Semantic Layer to Accelerate Insights
Decoding Data Complexity: Using a Semantic Layer to Accelerate Insights The world of data is getting more complex making it harder for companies to quickly generate the insights they need to manage the business. According to a Boston Consulting Group survey, more than...
8 Data Governance Use Cases You Should Know
8 Data Governance Use Cases You Should Know In this article, we explore eight compelling data governance use cases that showcase the transformative power of data governance. From ensuring regulatory compliance to improving data quality and consistency, each use case...
5 Key Learnings from DataGalaxy’s CDO Masterclass Season 2
5 Key Learnings from DataGalaxy's CDO Masterclass Season 2 DataGalaxy’s CDO Masterclass is an immersive, recurring three-day online experience that gives data professionals a unique opportunity to learn from the world’s top brands leading data-driven transformation....
DataGalaxy’s 15 Essential Data Management Resources
DataGalaxy’s 15 Essential Data Management Resources You may have your seasonal reading list, but now it’s time to create your seasonal learning list! There is arguably nothing more valuable to your company and central to its success than data. However, diving into the...
Understanding Data Governance And Data Quality
Understanding Data Governance And Data Quality Data governance and data quality are two essential data management principles that have significant impact on an organization’s overall competitiveness and decision-making. At the heart of data governance and data quality...
The Evolving Chief Data Officer Role: Beyond Data Governance
The Evolving Chief Data Officer Role: Beyond Data Governance If data is the most important asset in business today, then dedicating an executive to manage, safeguard, and monetize this precious asset is imperative. The Chief Data Officer role, established in the early...
8 Steps To Implementing Data Governance
8 Steps To Implementing Data Governance In today's data-driven world, organizations recognize the critical role of data governance in managing and leveraging their data effectively. Implementing data governance is essential to ensure data quality, regulatory...
A Guide To Data Governance In Healthcare
A Guide To Data Governance In Healthcare As healthcare organizations generate and manage vast amounts of patient data, ensuring its integrity, security, and appropriate use is crucial. Data governance in healthcare provides a framework to establish policies,...
The Role of Data Governance Manager: From Compliance to Quality
From Compliance to Quality: The Role of Data Governance Manager Data Governance Managers perform many roles within an organization: They steer compliance strategies, protect data, monitor compliance regulation, extract value from data, and drive companies into the...
Gartner’s CDAO Field Guide for Successful Change Initiatives
Gartner's CDAO Field Guide for Successful Change Initiatives Gartner CDAO's Field Guide Insights For many organizations, “Becoming data-driven” is a long-term goal with no real path set to achieve it. Often, even starting the journey of organizational data management...
10 Reasons Why Metadata is Important for Businesses
10 Reasons Why Metadata is Important for Businesses In the digital age, businesses deal with vast amounts of data every day. Among this sea of data, metadata emerges as a crucial, yet overlooked, component. Metadata, often described as data about data, is vital for...
Data Lineage for Business Excellence: Best Practices
Data Lineage for Business Excellence: Best Practices In the dynamic world of data, data lineage emerges as an integral process that outlines the entire data life cycle - It's a critical tool that enables businesses to undertake system migrations with confidence,...
Data Lineage Diagram 101: A Comprehensive Guide
Data Lineage Diagram 101: A Comprehensive Guide Have you ever been called upon to debug or optimize a data-driven process? For regulatory compliance, have you had to do audits? If so, you may have wondered where all the data you're dealing with came from. In reality,...
Data Lineage vs. Data Provenance: A Comparison Guide
Data Lineage vs. Data Provenance: A Comparison Guide Digital transformation and big data have permanently changed the way businesses operate: It’s more important than ever for businesses to have a strong digital presence and to utilize existing data. Additionally,...
The Role of Data Stewards in Data Governance
The Role of Data Stewards in Data Governance As the digital revolution continues to accelerate, the importance of data stewardship within data governance strategies is becoming increasingly apparent. Organizations across the globe are recognizing the intrinsic value...
Data Mesh: Empowering Enterprises With Self-Service Data
Data Mesh: Empowering Enterprises With Self-Service Data As we explained in 5 Compelling Reasons Chief Data and Analytics Officers are Moving to data mesh, enterprise agility is critical to business success in today’s fast-changing world. This has given rise to the...
Data Mesh: Transforming Data from Byproduct to a Product
Data Mesh: Transforming Data from Byproduct to a Product One of the four principles of data mesh is data as a product. The core tenet of this principle is a shift in mindset from data as a byproduct of transactional systems and processes to data purposefully designed...
Data-Driven Decision-Making with DataGalaxy & Starburst
Data-Driven Decision-Making with DataGalaxy & Starburst [Webinar recap] DataGalaxy and Starburst, pioneers in collaborative data governance and SQL analytics engines for data lakes and federations, recently presented a joint webinar showcasing their services'...
Data Mesh: Understanding Decentralized Domain Ownership
Data Mesh: Understanding Decentralized Domain Ownership Data and analytics professionals understand that semantics matter. We have semantic layers, semantic models, and semantic analytics. We know that communicating meaning effectively requires a shared understanding...
6 Most Popular Data Lineage Use Cases For Businesses
6 Most Popular Data Lineage Use Cases For Businesses Data lineage is something all businesses should be aware of. You likely have a lot of data floating around, coming in, being stored, etc. Having easy access to it, understanding where it came from, knowing that it...
Crawl, Walk, Run: The Key to Data Governance Transformation
Crawl, Walk, Run: The Key to Data Governance Transformation Are you ready to transform your organization's data governance and unleash its true potential? Dive into the Crawl, Walk, Run Methodology and discover the step-by-step approach to revolutionize your data...
Powering Data Governance: Executive Sponsorship and Change Management
Powering Data Governance: Executive Sponsorship and Change Management Imagine harnessing the full power of your organization's data to drive growth, innovation, and competitive advantage. Data governance is the key to unlocking this potential, ensuring your data...
How To Perform Accurate Data Lineage Mapping
How To Perform Accurate Data Lineage Mapping In today's data-driven landscape, every industry is intertwined with complex data flows. Have you ever contemplated what happens when data is fed into a Business Intelligence (BI) system? This article aims to explore data...
5 Compelling Reasons Chief Data and Analytics Officers are Moving to Data Mesh
5 Compelling Reasons Chief Data and Analytics Officers are Moving to Data Mesh The COVID-19 pandemic taught us a crucial lesson: to survive and thrive in today’s volatile, uncertain, complex, and ambiguous world, organizations must manage change and make decisions...
Top 5 Benefits of Data Lineage for Your Business
Top 5 Benefits of Data Lineage for Your Business Data lineage is essential for organizations relying on complex data ecosystems to drive their decision-making processes. By understanding the intricate journey of data - from its source to its destination and the...
Data Catalogs: Enhancing Your Business through Comprehensive Data Management
Data Catalogs: Enhancing Your Business through Comprehensive Data Management As a data-driven professional, you are likely well-versed in data lineage. However, the concept of data catalogs may be less familiar. Data catalogs offer a powerful solution for managing and...
How To Do Data Lineage: A Step-By-Step Guide
How To Do Data Lineage: A Step-By-Step Guide Have you ever asked yourself, “Where did all this come from?” after dealing with copious amounts of data? You’ve discovered the importance of data lineage. In this article, we explore the importance of data lineage, how to...
Data Lineage Vs. Data Traceability: Unraveling Key Differences
Data Lineage vs. Data Traceability: Unraveling Key Differences Data lineage and data traceability are two essential components in data management, with each playing a pivotal role in offering valuable insights and improving data quality. Data lineage maps the journey...
Unleashing the Power of Data Warehouses for Business Outcomes
Unleashing the Power of Data Warehouses for Business Outcomes A data warehouse, also known as an enterprise data warehouse (EDW), is a digital data storage system that plays a pivotal role in business decision-making. By continuously collecting vast amounts of data...
Building vs. Buying Your Data Catalog: Which Option is Best?
Building vs. Buying Your Data Catalog: Which Option is Best? Does your company need a data catalog? Data catalogs have become essential for improving data quality, access, and insights for businesses of all sizes. Data Catalogs provide a comprehensive view of a...
A History of The Data Catalog
A History of The Data Catalog Today's data catalog is an advanced tool for organizing and managing an organization's data assets. This data governance tool typically includes various features and capabilities that help users locate and understand data. These tools...
Automated Data Lineage: Key Benefits
Automated Data Lineage: Key Benefits Data lineage tracks and manages data history as it moves through an organization. It visualizes the data lifecycle, including its transformations and uses, from acquisition to disposal. Data lineage is also a crucial component of...
How To Improve Business Intelligence Through Data Governance
How To Improve Business Intelligence Through Data Governance Data is the lifeblood of modern organizations, and as such, it must be carefully managed and protected. Whether it's financial data, personal health information, or customer data, organizations that generate...
Secure, Compliant, and Efficient: Data Governance Best Practices in the Banking Industry
Secure, Compliant, and Efficient: Data Governance Best Practices in the Banking Industry The banking industry is entrusted with vast amounts of sensitive and confidential data, ranging from users' personal information to their financial transactions. The responsible...
Data Mesh vs. Data Fabric: Choosing the Right Data Architecture
Data Mesh vs. Data Fabric: Choosing the Right Data Architecture For businesses looking to build the best data architecture, the choice between a data mesh and a data fabric can be a challenging one. These two approaches, while similar in their goal of organizing data,...
Navigating ESG Compliance in 2024: Addressing Stakeholder Expectations and SEC Requirements
Navigating ESG Compliance in 2024: Addressing Stakeholder Expectations and SEC Requirements Climate change has been a mainstream topic for the last decade and more. It continues gaining popularity among global citizens as we witness adverse events related to global...
Effective Data Curation: Tips for Organizing and Improving Your Data
Effective Data Curation: Tips for Organizing and Improving Your Data Data curation is an indispensable asset for organizations looking to maximize the true value of their data, make data-driven decisions, and stay competitive in an increasingly hostile business...
The Role of the Data Analyst in a Data Governance Strategy
The role of the Data Analyst in a Data Governance Strategy Data governance plans are essential for businesses to extract value from data, improve data quality, drive better decision-making practices, and increase operational efficiency. As the facilitators of...
What Is Data Intelligence? Definiton, Overview, and Benefits
What is Data Intelligence? Definition and Benefits Data intelligence 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 services....
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: 5 Best Practices
Metadata Management: Five Best Practices 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 gathered for you the top five best...
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...
DataGalaxy’s Holacracy Data Governance Approach
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 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: Similarities and Differences
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
What Is a Data Glossary? 4 Key Benefits Building a common business vocabulary is critical for fostering data-driven decision-making within an organization. That is why it is critical to have a data glossary to help with the process. So, what is a data glossary, and...
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: Key to the Modern Data Stack
Active Metadata Management: Key to the 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 active metadata management...
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? Everything You Need to Know
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...
Top 5 Reasons You Need to a Data Catalog
Top 5 Reasons You Need to Adopt a Data Catalog 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 be...
What is Reference Data? Definition and Benefits
What is Reference Data? Definition 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
Data Governance: 10 Best Practices If your organization doesn't have 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 your company's overall...
Developing a Data-Driven Culture: 7 Points to Know
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 2023/2024
Who Should Be Using a Data Catalog in 2023/2024? Nothing is more important for a data-driven company than an organized data catalog. It's an essential tool for those who work with data daily that allows users to collect, organize and standardize a company's data. So,...
Chief Data Officer: Roles and Responsibilities in 8 Points
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...
Successful Data Quality: 5 Best Practices to Follow
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...
What Is Data Governance? Definiton and Challenges
Data Governance: Definition and Overview What is Data Governance? Data governance is 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 processes that...
What Is a Data Catalog? Definition and Challenges
What is a Data Catalog? Definition, Benefits, and Use Cases Have you ever wondered what a data catalog is or why it’s important for making smart business decisions? This blog post explains what information a data catalog holds and how it will help your team make...
White Paper
Data Catalog: The Complete Guide
Data Catalog White Paper: Download 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 implementing...
Agility: The Key to Complete Data Governance
Agility: The Key to Complete Data Governance Discover a new agile approach to data governance to support community-driven processes and enhance data literacy for all users. The decades-old waterfall approach to data governance no longer meets the requirements of our...
Metadata Management: What Is Its Importance?
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: All You Need to Know to Be Prepared
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! In today's increasingly-digitalized world, data has become the lifeblood of organizations, powering their operations and driving decision-making processes. As companies amass vast amounts of data from various sources,...
Driving Collaboration through Agile Data Management: A Winning Strategy
Driving Collaboration through Agile Data Management: A Winning Strategy To meet the challenges of upcoming digitalization, it's more important than ever to more effectively integrate the notions of collaborative web and agility into the professional tools used by...
What Is 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...
3 Steps Towards Achieving Data Governance
3 Steps Towards Achieving Data Governance A lack of data governance, a major axis of data-driven business transformation, is the cause of many malfunctions and errors during data catalog transformation projects. The modern data governance approach is defined on two...
