In today’s rapidly evolving data landscape, organizations must make sense of the overwhelming amounts of data generated daily. The roles of data engineers and data scientists are central to this mission. They each require distinct skill sets that, when combined, can create a powerful synergy. As a seasoned data professional, I have witnessed how effective collaboration between data engineers […]
How to Build a High-Performance Analytics Team
When most people think of analytics, they tend to picture a rigidly left-brained data scientist more at home with computer programming than creativity. But analytics leader and author John K. Thompson challenges such a notion. During his keynote presentation at DATAVERSITY’s Enterprise Analytics Online event, he proposed instead that the members of an analytics team can be […]
Data Concierge: Driving Business Intelligence Collaboration
Discerning businesses are ensuring each area of their organizations has access to performance metrics. Armed with data, their teams can accelerate decision-making, respond to client and marketplace demands, and mitigate risks. The issue is many organizations have segregated data environments. Each department often has its own data management platform that may not integrate with other […]
Demystifying Advanced Analytics: Which Approach Should Marketers Take?
“Advanced analytics” has been the new buzzword on every organization’s mind for the past several years. Recent advancements in machine learning have promised to optimize every arm of an organization – from marketing and sales to supply-chain operations. For some, investments in advanced analytics have been worth the hype. Those who succeed can gain a […]
The Impact of Generative AI on Data Science
As businesses adopt generative AI, a technology that creates new content and finds patterns, what will Data Science, the processes and activity geared to getting insights from big data, look like? How will this kind of analytical work change? Will there be an increased or decreased need for data scientists? How should businesses adapt their information […]
Managing a Freelance Data Science Team
In this dynamic era, the freelance economy is experiencing an unprecedented boom, significantly reshaping the work landscape. This shift is leading to the increasing prominence of freelance management, which includes sourcing, coordinating, and retaining independent talent in a strategic manner. This article particularly focuses on how to manage a freelance data science team, a trend […]
Which Data Quality Issues Are Plaguing Data Engineers Today?
We’ve all generally heard that data quality issues can be catastrophic. But what does that look like for data teams, in terms of dollars and cents? And who is responsible for dealing with data quality issues? To get to the bottom of these questions and more, we conducted a survey of 100 survey respondents, at least 63 […]
Assumptions in Regression: Why, What, and How
“Garbage in, garbage out” defines the importance of data in data science or machine learning in a nutshell. Incorrect input will yield meaningless results and screening data ensures we get comprehensible results. Before we start building models and generating insights, we need to ensure that the quality of the data we are working with is […]
Why Geospatial Data Should Be Easily Accessible for Every Employee
Unlocking the power of geospatial data can give organizations a competitive edge, from optimizing supply chain logistics and enhancing customer experience to mitigating fraud and improving public health outcomes. But despite its far-reaching benefits, many organizations fail to fully harness geospatial data’s potential. Why? Because geospatial data is voluminous, complex, and often distributed across multiple […]
Five Must-Have Characteristics of Extraordinary Data Scientists
There’s no better time than right now to be a data scientist. Despite recent large-scale layoffs in major tech firms, the future is bright for data managers, analysts, data wranglers, and consultants. In fact, the number of jobs requiring Data Science skills is expected to grow by 27.9% by 2026, according to the U.S. Bureau of Labor […]