Artificial Intelligence (AI) and associated technologies will be present across many industries, within a considerable number of software packages, and part of our daily lives by 2020. Gartner has also predicted that by 2020, AI will become one of the top five investment priorities for at least 30 percent of Chief Information Officers. Global software […]
Data Lake vs. Data Warehouse: How to Choose?
Trying to decide on a data lake vs. data warehouse for your organization? As Kelle O’Neal, CEO and founder of First San Francisco Partners, pointed out during her presentation at the DATAVERSITY® 2017 Enterprise Analytics Online Conference, you don’t need to choose just one: Many organizations use both a data lake and data warehouse. That’s […]
Intelligent Data Management Supports Better Data Access
Data access is a right, not a privilege. That philosophy may not be directly stated by companies, but certainly they have moved in that direction. Of course, it’s understood that not everyone is entitled to access all data. Nonetheless, the landscape has changed from the days when IT primarily held the keys and access was […]
The Data Scientist of the Future: What Will They be Doing?
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 […]