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Students & Educators
Jennifer Bell 0
Advocating for a robust value-added implementation

Recently, the American Statistical Association (ASA) released a statement about value-added modeling. This statement was widely covered in the national press, some of which positioned the statement as a significant blow to value-added modeling. However, the ASA statement did not “slam” value-added modeling; rather, the statement’s authors advocated statistical rigor,

Advanced Analytics
David Pope 0
How to dilute the value of analytics

Business Intelligence (BI) can mean many things to many people, but generally BI is associated with business reports. When you fold business analytics (BA), especially advanced analytics that are predictive or prescriptive, under the BI umbrella you inherently dilute the value proposition that analytics can provide to an organization. Why

Jim Harris 0
Facing ethics in a data-driven world

I have previously blogged about how the dark side of our mood skews the sentiment analysis of customer feedback negatively since we usually only provide feedback when we have a negative experience with a product or service. Reading only negative reviews from its customers could make a company sad, but could reading only

SAS Colombia 0
5 consejos para ayudar a las empresas a visualizar sus datos

Visual analytics es una solución, que puede impactar los resultados de una compañía independientemente del tamaño. Según Sanjeev Aggarwal, socio de la consultora tecnológica SMB Group, Visual analytics es el futuro del análisis avanzado de datos para las empresas en crecimiento. Las hojas de cálculo y las herramientas de Business

Advanced Analytics | Analytics
Renee Nocker 0
What is a better decision worth?

The word “analytics” is widely misused and misunderstood.  While SAS arguably invented the advanced analytics and predictive analytics categories more than 38 years ago, other software vendors have used the term to describe things like reporting, monitoring, and tracking what happened.  The value of these more simple capabilities are easily

Stefan Ahrens 0
Zum Facebook Experiment: 5 Dinge für die Versuchsplanung, die Unternehmen lernen können

Facebook spielt mit den Gefühlen: Fast 700.000 Nutzer nahmen 2012 an einer psychologischen Studie teil. Unfreiwillig und unwissentlich. In diesem Facebook-Experiment wurde der Hälfte der Nutzer ein manipulierter Nachrichten-Feed angezeigt. Geprüft werden sollte, ob Themen und Tonalität der Fake-News die Stimmung der User beeinflusst. Die Studie wurde Anfang Juni veröffentlicht.

SAS Colombia 0
¿Y si el gol es la estrategia?

La fiebre del mundial por estos días, ha contagiado a millones de personas en el mundo entero. El éxito inesperado de algunas selecciones de fútbol, ha contribuido en gran medida a este aumento de interés, pero también lo han hecho el alto nivel de competencia, la intensa pasión de los

Leo Sadovy 0
Activity-Based Business Process Reengineering

I want to use SAS’ recent announcement of our Cost and Profitability Management solution as an opportunity to highlight an often overlooked but valuable application of activity-based costing: business process reengineering.   But first, just a brief description of Cost and Profitability Management’s new breakthrough capability:  In-memory model calculation. SAS’ decision

Data Management
Ravi Chari 0
Series: BCBS 239 – Principle 13

Principle 13: Remedial actions and supervisory measures - Supervisors should have and use the appropriate tools and resources to require effective and timely remedial action by a bank to address deficiencies in its risk data aggregation capabilities and risk reporting practices. Supervisors should have the ability to use a range

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Bend it like our BI Dashboard experts

Go USA! Go Germany! Go Mexico! Go Colombia! Wish you were still in it, England! That’s right, it’s World Cup time, and due to the international flavor of my family, I’ve got a number of teams I’m rooting for. I played a little soccer (or “futbol” in our house) back

Jim Harris 0
Data science and decision science

Data science, as Deepinder Dhingra recently blogged, “is essentially an intersection of math and technology skills.” Individuals with these skills have been labeled data scientists and organizations are competing to hire them. “But what organizations need,” Dhingra explained, “are individuals who, in addition to math and technology, can bring in

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