An essential role in any data-driven organization, a data steward is expected to manage and protect valuable data resources while ensuring that the integrity of the data remains intact. A steward must ensure that the data is useful to the company and meets its business objectives. Data stewards are also responsible for monitoring the data […]
What Doesn’t Work with Data Governance
Data governance is crucial for businesses aiming to maximize the value of their data, yet several common issues can significantly hinder its effectiveness. Let’s dive straight into these challenges and outline actionable strategies for overcoming them. Silos and Misalignment Data governance often operates in isolation, with dedicated teams having minimal interaction with the end-users of […]
Transforming Data Management with AI-Driven Data Catalogs
In today’s data-driven world, where every byte of information holds untapped potential, effective Data Management has become a central component of successful businesses. The ability to collect and analyze data to gain valuable insights is the basis of informed decision-making, innovation, and competitive advantage. According to recent research by Accenture, only 25% of organizations are […]
How Generative AI Is Making Data Catalogs Smarter
For the 72.29% of companies that want to gain business insights through analytics, knowing what and where to find their company-wide data becomes essential. To solve this need, many organizations implement data catalogs – comprehensive directories that list and describe all available enterprise data. Not every data catalog functions the same, and ones that use generative AI (aka “smart […]
Data Mesh Architecture Benefits and Challenges
ThoughtWorks consultant Zhamak Dehghani created the concept of data mesh as a self-serve, domain-oriented design that later evolved into a data-as-a-product design. By integrating and analyzing data from disconnected systems all at once, the data mesh architecture benefits the organization by eliminating the need to pull data from multiple systems and preprocess it. In a […]
Database Management 101
An important tool for organizations to ensure their data is stored, validated, and protected is database management. It is used to develop and deploy processes that end users are comfortable with. They can feel confident that the data is easy to work with, reliable, and accessible. It is important to make sure your organization’s data is […]
How to Correct the Top Reporting Issues That Harm Your Business
Agility and flexibility are the keys to succeeding in today’s demanding economy. But to achieve both these goals, organizations must delve deep into their reporting capabilities to ensure they can generate accurate and timely information for key decision-makers. Perhaps the greatest deficiency in modern reporting is the inability to differentiate raw data from the kind […]
Advances in Metadata Management
With the flood of data that organizations are experiencing, metadata management is no longer optional – it has become a necessity. The concept of metadata management is fairly new because older metadata services, before this rush of data, had no significant problems locating data files. Now they do. Metadata, at its most basic, can be described […]
Six Core Data Management Challenges
With so many different ways that data can be created and collected within an enterprise, it’s no surprise that Data Management challenges abound. Data usually comes from various sources, some of which cannot be trusted to be safe and compliant with regulatory standards. It can be gathered from large numbers of sources such as smart […]
Data Governance Trends and Dreams
Four years ago, in a fit of naivete, I decided to write a book about Data Governance. I wasn’t naïve about Data Governance – I was naïve about what that book would bring about. But, first, some background. After I left my corporate gig, I did a state-of-the-state in the data industry to get a broader understanding […]