Today learn how you can create more value by curating your data, what even small businesses with small amounts of data can learn from big data trends, and what characterizes someone prone to be skeptical of the hype around big data and analytics.
- By Quint Turner
- August 26, 2016
Empower a data advocate to champion a data-driven culture at your organization.
- By Wes Flores
- August 26, 2016
Read the steps to creating a data-driven culture, how successful marketing analytics creates customer value with big data, and how to adopt a well-managed analytics program.
- By Quint Turner
- August 25, 2016
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.
- By Steve Swoyer
- August 25, 2016
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.
- By James E. Powell
- August 25, 2016
The huge numbers associated with a newly discovered planet remind us that analytics must keep results in perspective.
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.
- By Quint Turner
- August 24, 2016
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.
- By Lindsay Stares
- August 24, 2016
Data science is a team effort that depends on vital contributions from data engineers, data architects, business analysts, and business subject matter experts.
- By Steve Swoyer
- August 24, 2016