The journey of advanced analytics has been a long in development, with many hurdles along the way. Some of the most complicated aspects of data analytics that still remain today are data gathering technologies, data cleansing methods, and skill support for advanced analytics. It has taken years to come to the automated age of business […]
Evaluating Enterprise Data Literacy
Any organization that aims toward complete digital transformation must move toward Enterprise Data Literacy. So, what exactly is Data Literacy? Kasey Panetta, Gartner’s brand content manager, defines Data Literacy as: “The ability to read, write and communicate data in context, including an understanding of data sources and constructs, analytical methods and techniques applied — and […]
Aligning Data Architecture and Data Strategy
Peter Aiken disagrees with the popular idea that it’s impossible to put a dollar value on Data Architecture. “It won’t be the right number, but it will be at least a dollar value on it, and if there’s money involved, people should be paying attention to it.”Aiken is an author, an associate professor of Information […]
Understanding DataOps
DataOps (data operations) has its roots in the Agile philosophy. It relies heavily on automation, and focuses on improving the speed and accuracy of computer processing, including analytics, data access, integration, and quality control. DataOps started as a system of best practices, but has gradually matured to a fully functional approach for handling data analytics. […]
Expanding Data Governance into the Future
Shortened time frames to leverage business insights and navigate data privacy and ethics call for the next generation of Data Governance (DG). This DG describes a collaborative, thoughtful, long-term framework consisting of processes managing trusted data assets across the organization. Kelle O’Neal, Founder, and CEO of First San Francisco Partners, sees a need to make firms […]
Data Leadership: The Key to Data Value
Data and business have become inseparable, so if your business isn’t using data effectively, you’re in trouble. Yet using it effectively can be a struggle. Not knowing how to find the right data, not trusting the available data, and not having confidence in the tools and people providing that data can lead people to conclude […]
Driving Good Data Management Across the Enterprise
Data Management develops in stages across the enterprise, according to the DATAVERSITY® Trends in Data Management Report. One or a few teams take the lead doing Data Management, ensuring successful data knowledge, protection, access, and value for projects or products. Then the good practices stay with that team or project, while others miss out on […]
The Chief Data Officer and the Chief Digital Officer: Work Together, Not Apart
Data vs. digital: That’s a big tension within many organizations. Chief Data Officer s and Chief Digital Officers don’t always agree about some important things, said Joe Caserta, president of consulting firm Caserta, during his DATAVERSITY® Enterprise Data World Conference presentation titled Building a Foundation for Disruption and Advanced Analytics. What’s the disconnect between the […]
Data Architecture and Data Science: What is the Intersection?
Data Science, in practice, should ultimately combine the best practices of information technology, analytics, and business. On the other hand, Data Architecture enables data scientists to analyze and share data throughout the enterprise for strategic decision-making. Thus, without a sound Data Architecture in place, data scientists will remain severely handicapped in their abilities to develop […]
Data Strategy Trends in 2020
When it comes to having a Data Strategy, are you there yet? Remember, a real Data Strategy isn’t a road stop. It’s the destination. There’s optimism that Data Strategy in 2020 will be on the highway somewhere between those two points. Much of the good vibe is created by the fact that business stakeholders are […]