Natural Language Processing (NLP) unlocks the ability of machines to read text, hear speech, and interpret words, and NLP has advanced greatly in the last five years. NLP improves data analytics, detects malware, and fights fake news. For example, using NLP the Citation-Informed Estimated Truth (CIET) software program identifies authentic news with a 78 percent […]
Self-Service Analytics Use Cases
Self-service analytics offers dynamic reports to business users, who can analyze the data by sophisticated, in-built functions. This kind of user empowerment reduces reliance on IT staff. Moreover, self-service business intelligence (BI) capability may additionally equip users with external data access and built-in features to instantly generate finished reports. To use a complete range of […]
Data Architect vs. Data Modeler vs. Data Engineer
Michael Bowers, author and Chief Data Architect at FairCom Corporation, initially set out to research three careers in his presentation titled Data Architect vs. Data Modeler vs. Data Engineer for the DATAVERSITY® Data Architecture Online 2019 Conference. The process brought him to a wealth of information he would have appreciated much earlier in his career, […]
Case Study: Helsana Automates Their Data Warehouse Infrastructure
Switzerland’s largest health insurance provider Helsana serves one out of every four insured, which translates into 1.9 million customers and 6.4 billion Swiss francs in sales annually. In the past, innovation had been prevented by reliance on hand-coding, manual processes, and institutional knowledge held by individuals, said Gallus Messmer, data warehouse architect at Helsana — […]
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 […]
Fundamentals of Cognitive Analytics
The journey of data analytics began with simple descriptive (review of past events) and diagnostic (analysis of past events) exercises and moved to the more sophisticated predictive and prescriptive genres,where advanced data models have enabled accurate future forecasts and actionable intelligence. And now cognitive computing has further strengthened the actionable predictive power of the machines […]
The Collective Data Literacy Gap
Every graph, data set, and chart has a story behind it. Knowing how to make sense of that narrative across an organization requires data literacy. Increasing the data literacy of smaller teams can be complicated, but equiping an entire organization is an even bigger task. So many teams bring in so many different skill sets […]
Data Versioning Matters to Data Science
Amazon Web Services (AWS) recently published a case study about how the Allen Institute for Cell Science — which was founded by Microsoft’s Paul Allen to research how the human brain works in health and disease — is taking new steps to make its data and metadata easy to access, search, and redistribute for internal […]
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 […]
Business Intelligence and Analytics Trends in 2020
The general pattern of technology upgrades in Enterprise Analytics & Business Intelligence that occurred in 2019 signaled the emergence of some specific types of analytics: smart, real-time, augmented, and conversational. These trends will continue growing well into 2020 and beyond. Also included in that list are: Smart devices and multi-channel data will require smart analytics […]