Data careers are becoming increasingly important and popular all across the globe, simply because “data” is the new currency of the data economy. The pandemic gave the needed push to accelerate the digital transformation of global businesses, and currently, the primary market differentiator is an enterprise’s data infrastructure readiness. This data infrastructure comprises systems, processes, […]
The Reskilling Revolution: Enterprise and Education Must Work Hand in Hand
We are on the brink of a “reskilling revolution,” according to the World Economic Forum (WEF). The new jobs emerging in the global economy will require a different set of skills, more in tune with the digital era. As a result, the demand for workers with specialist data education and skills, like data scientists and data […]
Why I Believe the Hyperautomation Hype – and You Should Too
Click to learn more about author Mathias Golombek. Just when you’d got to grips with automation, along comes hyperautomation. The buzzword cynics will think that’s a bad joke, a Will Farrell-style parody of a “top trend to watch!” from yet another thought leader. I’d usually count myself among those cynics, but on this occasion, I’m sold […]
A Brief History of Data Science
The term “Data Science” was created in the early 1960s to describe a new profession that would support the understanding and interpretation of the large amounts of data which was being amassed at the time. (At the time, there was no way of predicting the truly massive amounts of data over the next fifty years.) […]
Industry-Tailored Reskilling Accelerates Data Maturity
Click to learn more about author Merav Yuravlivker. Companies are increasingly looking for ways to meet the demands of our data-driven world, and developing a data-mature organization is key to success across all areas of a business. In today’s environment, Data Literacy is no longer reserved solely for those who work in IT. In all departments, including marketing, human resources, and business development, employees across an organization must […]
Is Unstructured Data the Future of Data Management?
Click to learn more about author Nahla Davies. In an increasingly tech-reliant world, data informs and powers much of our day-to-day lives. Data can be used to enhance AI capabilities, create personalized experiences, or be applied in medical research to help save lives. However, the biggest question remains: What is the best method to store, […]
So You Want to be a Big Data Analyst?
With the increasing use of big data by organizations in every field, the need for big data analysts will continue to grow. Big data analysts examine vast amounts of varied data. They uncover hidden patterns, customer preferences, and market trends. One of the primary differences between a big data analyst and a data scientist is […]
Enterprise Analytics Trends
Evan Terry, Chief Analytics Officer at Velocity Mortgage Capital said that enterprise analytics technology is increasingly sophisticated, due to machine learning, artificial intelligence (AI), and streaming analytics, but you can’t benefit from these advancements without a solid foundation. “There’s a real interplay there between the foundational and the advanced.” Terry discussed these interplays during his […]
Time Series Analysis with Components
Click to learn more about co-author Maarit Widmann. Click to learn more about co-author Daniele Tonini. Click to learn more about co-author Corey Weisinger. Time Series Forecasting is often neglected says Professor Daniele Tonini: “Considering the plethora of articles, applications, web tutorials and challenges on the data science subject that we’re seeing in the last […]
How Augmented Analytics Will Change the Analytics and BI Workflow
Click to learn more about author Kaycee Lai. As analyst and journalist Bernard Marr put it, “Without data scientists on staff or available to interpret data and turn the intel into solid business activity, the benefits of data could remain unlocked.” Augmented analytics promises to improve the ability of organizations to derive benefits from data by: Taking more […]