Any organization that aims toward complete digital transformation must move toward enterprise data literacy. So, what exactly is data literacy? Gartner defines data literacy as: “The ability to read, write and communicate data in context, including an understanding of data sources and constructs, analytical methods and techniques applied – and the ability to describe the […]
How to Ask Great Questions with a Data Science Lens
When it comes to solving business problems, data scientists understand how crucial it is to formulate the right business question. While it’s easy to get sidetracked by intriguing data trails, the most effective questions are those that align closely with organizational priorities, provide actionable insights, and guide strategic decisions. Here are the key principles for crafting high-impact […]
What Is Data Literacy and Why Does It Matter?
An international survey by technology company Accenture in 2020 found that 75% of C-suite executives believe that all or most of their employees are proficient at working with data. However, only 50% of middle managers felt the same way. And what about the employees themselves? Only 25% felt that they were fully prepared to use data effectively, […]
Data Engineer vs. Data Analyst
In today’s data-driven world, two data professional roles that play crucial roles are data engineers and data analysts. Both these professionals aid the process of extracting data-driven insights, but they possess distinct skill sets and responsibilities. Below are some key facts about educational backgrounds and job roles of the data engineer vs. data analyst, as well as the […]
AI Will Make You 10X the Data Analyst, Not Take Your Job
AI isn’t here to replace data analysts; it’s here to unlock their full potential and dramatically scale their work. With AI as their powerful ally, data analysts can unlock latent value in data and lead the charge in the fourth industrial revolution. In a world where AI creates viral images and crafts hit music, it’s clear that we’re […]
Finding the Right Data Science Role: 4 Key Criteria
Landing a Data Science role is one thing, but joining an organization where you can truly thrive is quite another. As a Data Science talent strategy leader, I can share my perspective on what I believe solid organizations will have in place to foster an engaged and developing data science community. To anyone navigating today’s Data […]
10 Highest-Paying Data Analytics Jobs in 2023
As one of the fastest-growing fields, technology continues to drive transformative changes across various industries, with new advancements emerging each year. Consequently, the demand for data analytics jobs is expected to surge in the near future, with a significant need for data science practitioners worldwide. The U.S. Bureau of Labor Statistics (2021) projects a 22% growth […]
Becoming Data-Driven Without a Data Analyst
Data analysts are an important part of modern business, and this article will not argue otherwise. But it will argue that not every company, department, and team needs a data analyst to become data-driven. Before being hired as senior product manager of a data integration platform, I had little experience working directly with data tools. But I knew […]
Why Data Analysts End Up Playing Data Detective
Many data analysts are getting a raw deal. For all the optimism around cloud-based systems promising to make Data Management easier, analysts often wind up playing detective – battling through huge information stores on the hunt for useful data, instead of running analysis. For companies, the disillusionment driven by lumbering valuable (and rare) specialists with manual processing […]
Developing a Successful Data Science Project
While Data Science practitioners, aspirants, and enthusiasts often get caught up in the business benefits of Data Science, it is equally important to keep a close watch on the common pitfalls that need to be avoided to launch a successful Data Science project. By identifying and exploring why some initiatives fail, data scientists can learn […]