As data continues to rise in volume and variety, and businesses grow more data-centric, the decision-making power of advanced algorithms is now openly welcome in enterprises of all sizes. Now, the average business user is not affected even if a knowledgeable Data Scientist is not around. Today, technology innovations are increasingly empowering the ordinary staff […]
Data Intelligence, Data Governance, and the Fourth Industrial Revolution
Klaus Schwab, founder of World Economic Forum, and author of the book, The Fourth Industrial Revolution, said that there is no historical precedent for the speed of current technological breakthroughs, and that the Fourth Revolution is evolving at an exponential, rather than linear pace. The Third Industrial Revolution introduced the personal computer and the internet, […]
Self-Service Agile Data Management
Business users need to be close to Big Data. They need to know the pros and cons of how to best utilize business data to act on opportunities and reach out to customers and prospects. In addition, businesses need to respond to these advantages immediately. As Thomas Schutz, SVP of Sales and Marketing Strategy for […]
How Can the Chief Data Officer Facilitate Data Literacy and Data Democracy?
“Data Literacy: It’s all about how to get people in an organization engaged so that they can make decisions and take actions that can collectively drive better decision-making,” said Harald Smith, Director of Product Management at Syncsort. Smith is a strong proponent of Data Democracy. “Data Democratization” is the idea that digital information should be […]
Building an Effective Data Science Team
Dr. Cindi Thompson considers Data Scientists to be raccoons: “Raccoons are both smart and dangerous, and that’s kind of the way we think about Data Scientists.” Speaking at the DATAVERSITY® Enterprise Analytics Online 2017 Conference, in her presentation titled “How to Get the Most Value from Data Science Teams” Thompson said, “Raccoons have that desire […]
Data Strategy Needs to Include a Robust Data Architecture
In the digital era, data is the lifeblood of businesses; data piling up from various customer or operational touch-points have to be efficiently collected and managed for a business to thrive and prosper. In short, Enterprise Data Management (EDM) impacts all core business functions like HR, CRM, ERP, or Supply Chain. In such a scenario, […]
Building the Pillars of Data Modeling and Enterprise Architecture
Ron Huizenga believes it’s possible for an organization to reach an enlightened state where users can “understand the journey of their data through the entire organization.” That entails knowing when the data was created, the processes that use it, being aware of how it’s transformed on its way through the organization, and ultimately, knowing when […]
Case Study: Data Virtualization Seasons the Machine Learning and Blockchain Landscape for McCormick
Food flavoring giant McCormick is spicing things by adopting Data Virtualization for a number of its key projects including the deployment of Machine Learning techniques and a Blockchain collaboration program with a prominent retailer as part of a plan to better control food quality. In a recent DATAVERSITY® interview with Terry Moon, an Information Architect […]
Improving Self-Service Analytics by Harnessing the Data Swarm
“Self-Service Analytics is great because it empowers business people,” said Frank Moreno, VP of Worldwide Marketing at Datawatch. But as the trend has taken off, so have disconnected data silos that create challenges in understanding Data Provenance, modifications, and currency. So, as business users worked with reporting or visualization tools such as Tableau, there often […]
Better Business Results Depend on Master Data Management and Data Quality
Software solutions designed to meet increasingly complex data needs are on an upward trend. The global enterprise Data Management market, which covers Data Quality, processes and standards among other software, is expected to reach $142.67 billion by 2023, according to Research and Markets. Additional research specifically homes in on the global Data Quality tools market, […]