Uncategorized

Fritz Lehman 0
Taking customer experience to heart

When I joined SAS nearly 32 years ago, I didn’t set out to be its first Chief Customer Officer (CCO). I made it here by setting small goals for myself over the years, sharing those goals and attaining them step by step. It’s been a lot like training for a

Leo Sadovy 0
Big: Data, model, quality and variety

The “big” part of big data is about enabling insights that were previously indiscernible. It's about uncovering small differences that make a big difference in domains as widespread as health care, public health, marketing and business process optimization, law enforcement and cybersecurity – and even the detection of new subatomic particles.

Analytics
Ralf Storch 0
Big Data und die Möglichkeiten der SAS In-Database-Verarbeitung

In der heutigen Zeit macht es immer weniger Sinn, gigantische Datenmengen über das Netzwerk in ein Auswertetool zur Analyse zu übertragen. Der Geschwindigkeitsvorteil einer hoch performanten statistischen Analyse von riesigen Datenmengen wird durch die lange Datenübertragung dieser riesigen Datenmengen wieder zunichtegemacht. An diesem Punkt müssen andere Technologien angewendet werden, um

Karen Terrell 0
Analytics transforming the 2020 U.S. Census

One of our country's oldest institutions, the U.S. Census Bureau, is at the forefront of modern government efforts. Those efforts are numerous and disparate, from general directives to do more with less, to digitization and consolidation initiatives, to the “Cloud First” mandate, and the pushes for agile and open source development.

Learn SAS
Rick Wicklin 0
The SELECT statement in the SAS DATA step

Every beginning SAS programmer learns the simple IF-THEN/ELSE statement for conditional processing in the SAS DATA step. The basic If-THEN statement handles two cases: if a condition is true, the program does one thing, otherwise the program does something else. Of course, you can handle more cases by using multiple

Analytics
Ralf Storch 0
Kundenindividuelle Versicherungstarife und Datenschutz?

Mit fortschreitender Digitalisierung entdecken immer mehr Versicherer neue Möglichkeiten der Tarifgestaltung. Hierzu zählen aktuell sogenannte Telematik-Tarife, die das individuelle Fahrverhalten der Versicherten berücksichtigt. Zur Bewertung des Fahrverhaltens werden mittels einer Blackbox Daten wie z. B. gefahrene Kilometer, Beschleunigung und Bremsverhalten gesammelt. Aus diesen unterschiedlichen Kennzahlen wird mittels analytischer Verfahren ein fahrerspezifischer

Matt Becker 0
Three things you must do to create a central clinical platform

Collecting, managing, standardizing and analyzing clinical data during (and after) a clinical trial is crucial in the process for submission and regulatory approval of a new compound, biological, device or other therapy. A central clinical platform requires: Robust and auditable analytics to prove the result to the authorities and external

Data Management
Jim Harris 0
MDM intersections, Part 2: Data governance

Master data management (MDM) is distinct from other data management disciplines due to its primary focus on giving the enterprise a single view of the master data that represents key business entities, such as parties, products, locations and assets. MDM achieves this by standardizing, matching and consolidating common data elements across traditional and big

1 141 142 143 144 145 259