Millennials (the new generation of future Data Experts) have a lot to offer. But, enterprises might need to think a little differently about how to foster their growth so that they can deliver real value to the organization. As baby boomers retire – and as businesses realize that Generation X wasn’t big enough to replace […]
A Brief History of Data Storage
Punch cards were the first effort at data storage in a machine language. Punch cards were used to communicate information to equipment “before” computers were developed. The punched holes originally represented a “sequence of instructions” for pieces of equipment, such as textile looms and player pianos. The holes acted as on/off switches. Basile Bouchon developed […]
Data Quality in the Enterprise
The target of many conference talks, backroom jokes, and late nights for data professionals in the Data Management industry is Data Quality. Data technologies and data assets have no meaning without reliable Data Quality, and yet there still is not enough attention given to data acquisition, data storage, and data preparation methodologies that are substance […]
Onboarding to Enterprise Knowledge Graphs
Enterprise Knowledge Graph vendors are working hard to find their place in the heart of businesses, helping them do more with and get more out of their mountains of data. Recently, for example, Stardog has adopted its leading Knowledge Graph platform to be “FIBO-aware,” mapping to the Financial Industry Business Ontology (FIBO) semantic standards out-of-the-box. […]
Privacy Impact Assessments: Why and When to Do Them
Click to learn more about author Cathy Nolan. What is a Privacy Impact Assessment? A Privacy Impact Assessment, or PIA, is an analysis of how personally identifiable information (PII) is collected, used, shared, and maintained. Why do it? If your organization needs to comply with the GDPR, a PIA will demonstrate that program managers and system […]
The New Data-Centric Organization: Leave the Duct Tape Behind
Stan Christiaens believes that the fourth industrial revolution is here, and if you want to be part of it, you’ll have to become a data-driven company. Speaking at the DATAVERSITY© Enterprise Data World 2017 Conference, Christiaens said during his presentation titled “The #1 Reason You’re Not a Data-Driven Company” that many companies try to adopt […]
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 […]
Predictive Analytics Use Cases
Predictive Analytics (PA) moves businesses beyond the reactive strategies of market response. This advanced Data Management technology helps the business leaders and operators to view the risks and opportunities well in advance, so that they can adequately prepare for the future. Predictive Analytics does not guarantee that businesses will face only positive outcomes; what it […]
Taxonomy vs Ontology: Machine Learning Breakthroughs
The difference between Taxonomy vs Ontology is a topic that often perplexes even the most seasoned data professionals, Data Scientists, Data Analysts, and many a technology writer. Yet, taxonomies and ontologies form the underpinnings of how machines learn and understand, a group of technologies that are quickly improving in perception and cognition. Cognitive Computing technologies […]
The Blockchain Intersection with Supply Chain Data
Most people probably are familiar with Blockchain in terms of the bitcoin context. It’s the underlying technology that supports the worldwide crytpocurrency and digital payment system, but it has applications for supply chain data, too. In fact, in mid-September IBM and Microsoft announced a collaboration with GS1, the global business communications standards organization, to leverage […]