Data Analytics in 2021: ITPro Today’s Top 10 Stories

In the journey to become data-driven enterprises, 2021 represented an important, evolutionary step for many organizations. A wide swath of industries made investments in artificial intelligence and data analytics in 2021, yet executives continued to struggle with high-level concepts.

ITPro Today’s top stories about data management and data analytics dive into topics that companies tackled this year. Read through the articles below for technical explainers, reported features, how-tos and more.

Since the rise of remote work, organizations have grappled with the question of whether employees will remain productive outside office environments. Many organizations have considered implementing tools and services to monitor employee productivity. In this feature, ITPro Today contributor Richard Hay examines how organizations can resolve their productivity concerns without resorting employee surveillance.

Chief data officers (CDOs) have become important players in enterprise strategy, yet the role is frequently misunderstood. Learn about why CDOs have seen a high turnover and what they need from their organizations to succeed.

The process of moving on-premises data warehouses to the cloud can be daunting. This article explains how to use data warehouse automation tools to aid a cloud migration.

Data fabric architecture can facilitate the data exchange among systems, applications and services. In this technical explainer, researcher and analyst Stephen Swoyer discusses the benefits and limitations of the architecture.

If you’re exploring options for moving a data warehouse, here’s a great place to start. This article introduces the ideas behind data warehouse automation and how tools and methods can facilitate migrations.

Organizations have begun to deploy AI and automation technology to optimize internal process. While many of these applications may be modest in appearance, they can in fact produce transformational results. This slideshow provides 10 examples.

Digital transformation efforts can flourish when organizations learn how to unlock the potential value of their data. In this feature, ITPro Today contributor Terri Coles explores the tools and resources necessary to become a data-driven business.

Knowledge discovery frameworks are AI-adjacent technology that outlines data mining and processing approaches. This article by Terri Coles provides an in-depth overview of how knowledge discovery frameworks have evolved and are currently being used.

Cloud providers’ API rate limits can potentially create challenges for an organization’s ability to access and use data for business intelligence and analytics. This article explains how API rate limits work and what organizations should do to avoid problems.

Is cloud-based object storage alone a suitable destination for data? This article considers the advantage and drawbacks of cloud object storage for data management and analytics.

Did your organization make inroads with data management and data analytics in 2021? Tell us in the comment below!