The concept of managing “data as a product” involves a paradigm shift. By treating data as a product designed for consumer use, rather than a pool of semi-chaotic information, businesses can increase their profits. Many businesses have set up customized data pipelines – or other extreme and expensive steps – in unsuccessful efforts to maximize the […]
Machine Learning Use Cases for Data Management
In 2023, machine learning (ML) is a powerful enabler for Data Management, revolutionizing the way organizations handle and analyze vast amounts of data. ML, a subset of artificial intelligence (AI), offers various approaches to tackle Data Management challenges. With the ever-increasing “volume, velocity, and variety of data” being generated today, traditional methods of Data Management have become […]
Core Data Concepts for Digital Transformation
Without a clear understanding of core data concepts, communications around implementing an organizational Data Management initiative can become a muddle. As different teams come together to plan and organize data activities, they must integrate what they mean about data with any technologies. For example, take the term “Data Governance.” Data engineers building systems and tools to enable […]
NoSQL vs. SQL: Five Key Differences
NoSQL and SQL are the two primary forms of database used to store and manage digital data, with each providing key differences that support advantages and disadvantages. SQL deals with relational databases and NoSQL deals with non-relational databases. Both methods store data effectively but differ dramatically in their scalability, relationships, language, and database design. Understanding […]
Creating a Successful Data Quality Strategy
Maximizing the value of data often comes down to ensuring it’s in the right place at the right time and in the right form. While that process may produce magical-seeming results, the road to creating an optimal data quality strategy need not be mystifying. This was the guiding message delivered by Monika Kapoor – director […]
Data Literacy 101
From social media to online shopping, data is generated and collected at an unprecedented rate. In the current data-powered society, it is crucial to be able to understand and interpret all types of data. Data literacy – the ability to read, analyze, and communicate with data – is crucial to use the power of data. […]
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 […]
Fundamentals of Real-Time Analytics
In the evolving world of business, the emergence of new technologies is aiding organizations to make agile and accurate decisions. Real-time analytics – which involves collecting and analyzing data as it happens – is one such technology that is changing the business landscape. With superfast identification of trends and patterns, businesses can leverage real-time analytics […]
Nine Key Benefits of Metadata Management
Metadata management can offer many benefits for businesses, for a number of reasons. It is used to establish and enforce rules on defining and discovering an organization’s data assets. Among other things, this allows researchers to locate data quickly and efficiently and helps promote accurate data use. Metadata management is the organization of metadata for […]
Types of Machine Learning and Their Applications
Computers have become so ubiquitous that nearly every aspect of our lives revolves around their use, yet the machines haven’t lost their ability to amaze us. The latest jaw-dropping technology is the ability of computers to teach themselves new skills by analyzing huge amounts of data. The many types of machine learning promise to make […]