The famous theoretical physicist Stephen Hawking said, “It’s tempting to dismiss the notion of highly intelligent machines as mere science fiction.” Artificial intelligence (AI), the game-changer technology of the global business world, comprises three distinct sub-disciplines: machine learning (ML), natural language processing (NLP), and cognitive computing. Automated solutions in business analytics use all these sub-technologies, […]
So You Want to Be a Data Modeler?
There is a always a need for data modelers, however, the job description of this career field varies, depending on the needs of the organization. For example, a data modeler working for a startup would coordinate with data scientists and data architects in designing a new system — one that included the goals of the […]
How Can Data Strategy Strengthen Advanced Analytics?
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 […]
Case Study: AK Productions Increases Efficiency with Cloud Storage Solution
AK Productions found out why economical and efficient cloud storage leads to a better workflow. The freelance company does video production for businesses and individuals, including international brands like National Geographic and the World Bank. Aiden Korotkin, director of photography and editor, stays hands-on throughout each project. He shoots videos from start to finish, edits […]
Metadata Repository Basics: From Database to Data Architecture
Companies use a metadata repository to store and share information about data or metadata. Metadata repositories, once thought limited to databases or diagrams, have evolved sophisticated Data Architectures, driving businesses to transform the marketplace digitally. Take the New South Wales (NSW) government’s Spatial Digital Twin, which went live in February 2020. NSW, an Australian state […]
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 […]
Data Governance and Data Stewardship Drive Successful Glossaries and Dictionaries
It would be any data manager’s nightmare to run meetings that create pedantic and irrelevant business glossaries or data dictionaries, which eventually gather cyber dust. However, skipping over building and maintaining a good business glossary or data dictionary risks convoluted meanings, confusing communications, and business failures. What should a company do? Robert S. Seiner (Bob), […]
So You Want to be a Data Governance Specialist?
A Data Governance Specialist is responsible for deploying and enforcing policies and procedures that ensure data is used and maintained properly. Some organizations confuse the title “Data Governance (DG) Specialist” with the title “Data Governance Manager.” The DG Specialist is not a member of upper level management and does not dictate policy. This person, however, […]
How Does Data Management Drive Efficiency for Organizations?
Data-driven analytics continue to deliver sophisticated solutions for manufacturing efficiency, early disease detection, and smart capabilities building in workplaces. Thus, industry operators and leaders continue raise their expectations and demands from data technologies with every passing year. Looking Behind the Curtain: What Really Drives Value from Data reveals some insights that global managers can learn […]
Databases vs. Hadoop vs. Cloud Storage
How can an organization thrive in the 2020s, a changing and confusing time with significant Data Management demands and platform options such as data warehouses, Hadoop, and the cloud? Trying to save money by bandaging and using the same old Data Architecture ends up pushing data uphill, making it harder to use. Rethinking data usage, storage, and computation is […]