In the “Will They Blend?” blog series, we experiment with the most interesting blends of data and tools. Whether it’s mixing traditional sources with modern data lakes, open-source DevOps on the cloud with protected internal legacy tools, SQL with NoSQL, web-wisdom-of-the-crowd with in-house handwritten notes, or IoT sensor data with idle chatting, we’re curious to […]
4 Reasons Data Scientists Leave (and How to Retain Top Talent)
The demand for Data Science talent far exceeds the talent pool, making employee retention challenging. Demand is expected to remain high throughout 2022, providing ample opportunity for talent to move upwards through competing organizations. A vast amount of project familiarity and understanding is built on the backs of data scientists and is lost when they […]
What to Expect from AI in 2022
These past two years have ushered in major changes to how we navigate work, human interactions, and information. These shifts have coincided with the increased maturity of AI as a field. As AI has become more widespread, accessible, and acceptable, it’s stepped in to fill gaps in the economic, social, institutional, and political realms – […]
Still Not Convinced About Data Storytelling? Read This
Data on how organizations operate can inform how they make decisions across the board, no matter their size. Gartner’s Data & Analytics Trends Report for 2021 included the use of “data and analytics as a core business function,” while IDC suggests that almost two-thirds (64%) of businesses believe data collection and analysis has “fundamentally changed the way […]
Four Data Analytics Trends to Watch
Now that 2021 has come to a close and leadership teams once again look to position their organizations for opportunities and challenges on the horizon, there’s no shortage of questions about what to expect in 2022 and beyond. Will technology fix the global supply chain crisis? Will “citizen data analysts” become the most important people […]
Using a Data Lake Engine to Provide Self-Service Insights
Understanding and fulfilling customer needs is the key to business success, and customer data is the foundation upon which that success is built. Accessing and analyzing data is almost always dependent on data engineers and other IT staff, while decision-makers wait to receive insights. One way to skip the wait, and deliver data directly to […]
Hyperautomation Is Set for Growth in 2022: Which Tools Are Needed?
With labor shortages continuing throughout multiple industries, businesses need to revisit automation as a way of “filling” unhired roles or even eliminating tedious tasks that create worker dissatisfaction. Thoughtful automation can improve the work experience by granting employees the freedom to focus on more meaningful aspects of their jobs or by reducing the stress of […]
How Data Analysts Are Helping Brands Evolve in a Data-Driven World
Data is one of the most important tools brands and retailers can use to effectively meet the needs of their customers. However, privacy concerns have altered how it will be collected going forward. Consumer consent has become critical, prompting Firefox, Safari, and Chrome – three of the world’s most popular web browsers – to take measures toward requiring consumers to opt […]
Data Science Trends in 2022
The year 2021 was out of the ordinary as global businesses struggled to keep afloat amid the pandemic. This unusual situation accelerated digitization in businesses, which led to a surge in “digital data.” This year witnessed a record number of hires of data scientist and data analyst positions as businesses realized that data-driven market intelligence […]
Why 2022 Will Be the Year of AI, Machine Learning, and Cloud Technology
Artificial intelligence (AI) and machine learning (ML) are two critical technologies that are shaping our future, how we work, and how businesses persevere through future black swan events. With the ability to analyze, learn, and become more intelligent and intuitive over time, AI and ML will continue to expand the ability of businesses to leverage […]