Juice Analytics

DECEMBER 17, 2018

Christmas is a special time of year. We all have our favorite aspects of the season. In the spirit of Christmas and the Christmas carol, the 12 days of Christmas, here are the Juice team’s 10 favorite visualizations. You will recognize some of these as your own favorites, but some are exclusive to the Juicebox platform. To learn more about the visualizations exclusive to Juicebox and Juice design schedule some time with us.

Visualization 53

Visualization Metrics Interactive Dashboards 53

Teradata

DECEMBER 17, 2018

Brian Wood explains how Teradata Vantage in the cloud has your back when it comes to analytic simplicity, control, effectiveness, and results.

Analytics 60

Analytics IT 60

Tim Mitchell

DECEMBER 17, 2018

When doing any new development or major overhaul of existing SSIS architecture, I almost always recommend to clients that they deploy those packages to the SSIS catalog. Using the catalog to store and execute SSIS packages takes a lot of the manual work out of development and maintenance, particularly when it comes to package logging. When you execute a package.

IT 49

IT 49

Smarten

DECEMBER 17, 2018

Biz Users Get Plug n’ Play Analytics, Data Scientists Get R Integration! When someone says ‘plug n’ play’, a lot of people think of the idea of plugging in an electrical appliance and having it run instantly. I think plug n’ play analysis should be that simple as well! My business users don’t have the skill, the patience or the time to become data scientists.

Predictive Analytics 40

Predictive Analytics Predictive Modeling Analytics Statistics 40

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

Experimentation

BI-Survey

DECEMBER 17, 2018

A lack of professional (54 percent) and technical (50 percent) know-how top the list of challenges to Hadoop implementations in BARC’s ‘Hadoop and Data Lakes’ survey. A regional comparison offers further insights. A lack of know-how to use new findings from data research (50 percent) was more frequently viewed as a challenge in Europe.

Data Lake 40

Data Lake Manufacturing Finance Reporting 40