Rapidly up-skill in the exciting field of decision science with these essential recommendations. — In this article, we examine 13 books that will help you to master Data Analytics. This list includes books on Operations Research, Management Science, and Machine Learning. It’s crucial for a Data Analyst to have a broad skillset to contribute to the resolution of business questions and aid in data-driven…

The optimal structure for prioritization and communication — All too often, data initiatives fail. Business leadership optimistically pursues a solution that involves advanced machine learning without first developing a solid understanding of the health of the organization’s data supply chain. The Aiken Pyramid is a framework that aims to direct data-related efforts. It lays out a dozen aspects…

Essential reads for data practitioners to understand the world around us on a deeper level — You’re inherently curious — you’re always looking for new ways to build and apply your skills. You’d like to utilize data to make better sense of the world around you. One effective way to deepen these skills is through reading. In this article, we’ll provide you a curated list of…

Exploring the limits of building a second brain — You’ve always been ambitious. You strove to get into a famous college, and graduated straight into a job that impressed your friends. You showed up to your first day of work in a pair of shoes that you bought specifically for the occasion. …

The Pomodoro method can help increase productivity and focus while making work more fun and less stressful. — Pomodoros are an ideal productivity strategy to incorporate into your everyday routine. They help keep work fun and novel. The Pomodoro technique was created by Francesco Cirillo in the late 1980s. As a student, Cirillo used a timer to divide the duration of his work into intervals of 25 minutes…

Knowledge sharing with machine learning systems — As artificial intelligence stands poised to revolutionize the job landscape, data labeling is becoming a significant bottleneck to progress in AI research. The purpose of data labeling is to create a training dataset for machine learning. In this process, humans are tasked with assigning labels or tags to data points…

Essential competencies are quickly evolving in light of regulatory changes and massive technological shifts — Data Strategy is a core capability required to treat data as an asset. In the new year, we will see a rapidly changing regulatory landscape and massive shifts in technology impacting this field. Here are some key considerations for implementing Data Strategy in 2023: Data Labeling Becomes the Bottleneck

Some quick tips from a career switcher — What’s the quickest way to get a high paying job as a software engineer? Since I transitioned from working as a Data Strategy consultant to working as a full time Frontend Engineer in 2022, I’ve been asked this question often enough that it seemed high time to turn it into…

Comparing the Certified Data Management Professional (CDMP) and Certified Analytics Professional (CAP) — which should you choose to slingshot your job prospects in 2023? — Increasingly, the field of Data Strategy is gaining the respect it deserves. Data Strategists are responsible for making sense of an organization’s information and for guiding overall plans for data acquisition and retention. Leadership should look to data professionals for insight into the organization’s comparative advantage.