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Analytics
Brad Hathaway 0
Einfluss von EU-Datenschutz-Grundverordnung auf Data Governance und Analytics

In 15 Monaten tritt die EU-Datenschutz-Grundverordnung (General Data Protection Regulation, GDPR) in Kraft. Nicht nur Unternehmen mit Sitz in der Europäischen Union bereiten sich darauf vor, sondern auch Firmen mit Sitz im Ausland sind betroffen, die personenbezogene Daten von europäischen Bürgern nutzen. Welchen Einfluss hat GDPR auf Analytics und Datenmanagement?

Internet of Things
Natalie Mendes 0
The analytics of things ... and sports

Who cares about sports and data? Not just athletes, coaches and fans. It turns out that many companies outside of sporting organisations are also associated with the sports industry.  For example, financial services organisations are actively involved in sports sponsorships. Retailers sell fan merchandise. Telcos build social engagement strategies around

Rick Wicklin 0
The empty-space distance plot

How far away is the nearest hospital? How far is the nearest restaurant? The nearest gas station? These are commonly asked questions whose answers depend on the location of the person asking the question. Recently I showed an algorithm that enables you to find the distance between a set of

Analytics | Students & Educators
Georgia Mariani 0
ESSA – accountability, indicators and analytics to drive informed decision making

Last December, The Every Student Succeeds Act (ESSA) was signed into law to ensure opportunity for all students in the United States. As part of this federal legislation, states now have the flexibility to design their own accountability systems following certain parameters outlined in ESSA. These accountability systems include academic and non-academic indicators. By

Data Management
Jim Harris 0
How do you define data governance?

Data governance has been the topic of many of the recent posts here on the Data Roundtable. And rightfully so, since data governance plays such an integral role in the success of many enterprise information initiatives – such as data quality, master data management and analytics. These posts can help you prepare for discussing

Data Management | Machine Learning
Charlie Chase 0
Machine learning changes the way we forecast in retail and CPG

Machine learning is taking a significant role in many big data initiatives today. Large retailers and consumer packaged goods (CPG) companies are using machine learning combined with predictive analytics to help them enhance consumer engagement and create more accurate demand forecasts as they expand into new sales channels like the

Data for Good | Data Management
Dan Stevens 0
A playbook for analyzing real world intelligence in a health care setting

Real world data collected in a functioning health care setting instead of a controlled clinical environment can provide opportunities for new and deeper insights across life science and health care organizations. However, managing, analyzing and extracting actionable information from the varied available sources can present unique challenges. The sheer size of these

Rick Wicklin 0
Visualize a weighted regression

What is weighted regression? How does it differ from ordinary (unweighted) regression? This article describes how to compute and score weighted regression models. Visualize a weighted regression Technically, an "unweighted" regression should be called an "equally weighted " regression since each ordinary least squares (OLS) regression weights each observation equally.

Rick Wicklin 0
Let PROC FREQ create graphs of your two-way tables

The recent releases of SAS 9.4 have featured major enhancements to the ODS statistical graphics procedures such as PROC SGPLOT. In fact, PROC SGPLOT (and the underlying Graph Template Language (GTL)) are so versatile and powerful that you might forget to consider whether you can create a graph automatically by

Learn SAS
Sian Roberts 0
Looking after your digital self

Jared Cohen, President of Jigsaw, formerly Google Ideas, and Chief Advisor to Alphabet Executive Chairman (former Google CEO) Eric Schmidt, presented a very interesting keynote at Analytics Experience this month. In it he mentioned the idea of a ‘digital self’. He explained most people have not one but numerous digital

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