Upside


What's Holding Data Scientists Back?

Many people have the wrong mindset about data scientists according to Kon Leong, CEO of ZL Technologies. Without quality data management and collaboration from leadership, data scientists can't fulfill their purpose.

Is Collaboration the Critical Success Factor for Data Science?

The members of a data science team need to collaborate with one another in real time, and data science start-up Dataiku claims to have the best tool for the job.

Alpha Centauri, Here We Come

The huge numbers associated with a newly discovered planet remind us that analytics must keep results in perspective.

Data Digest: Analytics for Data Storage, Structure for Data Scientists, Build Scalable Applications

These articles explain analytics that work across multiple storage solutions, how to structure a department to best support data scientists, and what to focus on when building scalable applications.

Data Stories: The Impact of Global War

Visualization can be used to understand the actual and potential impact of war. See how many died in World War II and how many could have died from further nuclear conflict.

Debunking the Data Scientist Mythology

Data science is a team effort that depends on vital contributions from data engineers, data architects, business analysts, and business subject matter experts.

Career Advice for Analysts: Become an Agile Problem-Solver

To become a recognized expert, you cannot just rely on your technical knowledge. There are two parts to becoming an agile problem-solver: the "problem-solver" part and the "agile" part.

Analysis: Tableau Shakes Things Up with New Leadership

Data visualization and discovery specialist Tableau Software announced that cofounder Christian Chabot would be relinquishing his position as CEO. Analysts see plenty to like in Tableau’s incoming CEO, Adam Selipsky.

Data Digest: Cloud Storage Drawbacks, Pitfalls of Big Data Marketing, IoT Security Checklist

Today read about the benefits and drawbacks of cloud storage, how marketers are both using and misusing big data, and a checklist of needed security measures for your IoT devices.