Data Management (DM) comprises a comprehensive collection of consistent and responsible practices, concepts, and processes. These resources align data for business success and implement a Data Strategy. Additionally, they span long-term, abstract planning to hands-on, day-to-day data activities. Since DM spans many outcomes, behaviors, and activities throughout the data lifecycle, companies find organizing it into a framework helpful. […]
The Crucial Role of Data Lifecycle Management in Driving Business Success
No matter what industry you work in, Data Management is increasingly important for your career and performance. Information is no longer separate bits of data – the internet of things (IoT) and big data mean that every piece of data is interconnected. But, to keep your data healthy and secure, you need to be aware […]
Implementing Data Strategy Across the Data Lifecycle
Organizations wishing to implement a Data Strategy—a set of decisions that form a pattern, charting a high-level course of action—face significant challenges in unifying their message across the data lifecycle. Only 30% of companies have a clear organizational Data Strategy, leaving their different departments to figure out how to manage company data assets. Moreover, two […]
Managing Data Governance Throughout the Data Lifecycle
Companies rely on Data Governance, the formal Data Management of people, technology, and practices, to balance data risks and opportunities. Managing Data Governance takes on even more importance across the data lifecycle, from data planning to data disposal, as shown in the diagram below Organizations tend to neglect more comprehensive Data Governance throughout the lifecycle. […]
Three Reasons to Take a More Holistic Approach to Data Management
Click to learn more about author Olivia Hinkle. Taking a holistic approach to data requires considering the entire data lifecycle – from gathering, integrating, and organizing data to analyzing and maintaining it. Companies must create a standard for their data that fits their business needs and processes. To determine what those are, start by asking […]
A CDO’s Guide to Building a Culture of Data
Click to learn more about author Piyanka Jain. If you are anything like our Fortune 500 client on a journey to increase their data culture quotient (DCQ), then you are a brand that consumers recognize and trust. You have been around at least a few decades and probably a lot more. You have employees with […]
Ascend Launches to Create Automated and Intelligent Dataflows to Power Digital Transformations
According to a recent press release, “Ascend, provider of the world’s first Autonomous Dataflow Service, today emerged from stealth with $19M in funding to de-risk big data projects and accelerate digital transformations. Ascend operates the only solution with which data engineering teams can quickly build, scale, and operate continuously optimized, Apache Spark-based pipelines. By combining […]
Data Governance vs. Master Data Management
“Data Governance is the creation of rules, the execution of those rules, and the adjudication of any violation of the rules,” remarked Frank Cerwin in a recent DATAVERSITY® interview. He likened its structure to the three branches of the government: “The legislative branch makes the laws, the executive branch executes the laws, and the judicial […]
GDPR Compliance: A Data Transformation Opportunity
Beginning May 25, 2018, the General Data Protection Regulation (GDPR) gives data privacy and protection rights to all citizens of the EU, a change that will affect any company doing business with EU citizens worldwide. Ken Krupa, Enterprise CTO for MarkLogic, says “I don’t think there’s been anything like this before on this scale.” He […]