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.@philsimon says don't treat data self-service as a binary.
Tradicionalmente usadas por el sector financiero para gestionar sus riesgos y reducir sus niveles de fraude o por las compañías de servicios para mejorar sus indicadores de servicio anticipándose a las necesidades de sus clientes, las soluciones analíticas han empezado a impactar a las personas desde que se levantan hasta
Meetings, emails, budgets, phone calls, more emails, a meeting that could be an email, an email that should be a meeting – sound familiar? This is a typical work week for most of us. It is easy to get caught up in the next thing on the calendar and lose
La experiencia del usuario es una de las aristas más relevantes dentro de la rentabilidad y ganancias de las compañías -para algunas es la más vital-, sin embargo, es probable que no todas las organizaciones comprendan su importancia o beneficios, por ejemplo, personalizarla. En primer lugar, debemos entender la experiencia
Does it seem like there just aren't enough daylight hours to get things done these days? It might not be that you've got more to do - it might be that we actually have fewer daylight hours in the winter (here in the northern hemisphere). And since "seeing is believing,"
Brings relief to feet, legs and spine. Relaxes the nervous system and cultivates sleep. Legs Up the Wall (Sanskrit: Viparita Karani)
Retail isn't an easy place to be these days. The environment is omnichannel and ever-changing. Competition is rising and retailers are struggling to understand how to best meet customers’ merchandise preferences. Fortunately, analytics are driving profitability and market share for smart retailers. Let’s take a look at the four hottest
The 2016 INFORMS Annual Meeting will be held at the Music City Center and Omni Nashville Hotel in downtown Nashville, TN on November 13-16, with pre-conference events starting on Saturday, November 12. SAS will be a major participant in this conference. Over two dozen people from SAS will attend, with
We often talk about full customer data visibility and the need for a “golden record” that provides a 360-degree view of the customer to enhance our customer-facing processes. The rationale is that by accumulating all the data about a customer (or, for that matter, any entity of interest) from multiple sources, you
The Data For Good initiative is all about using data and analytics to improve the lives of citizens around the world – however most people wouldn’t immediately think about tax collection as a humanitarian effort. But that’s exactly how Courtney Kay-Decker, Executive Director of the Iowa Department of Revenue sees
We all have challenges in getting an accurate and consistent view of our customers across multiple applications or sources of customer information. Suggestion-based matching is a technique found in SAS Data Quality to improve matching results for data that has arbitrary typos and incorrect spellings in it. The suggestion-based concept
In the US presidential election, each of the 50 states has a certain number of electoral votes, based on the population. Typically, most states cast all their electoral votes for the candidate who wins in their state (all or nothing). But states can split their electoral votes if they want
Just by looking at a plantain it’s easy to see that it’s a member of the banana family. Plantains are a very common food in tropical climates all over the world such as South America, Southeast Asia, Africa and the Caribbean. While not quite as common in the U.S., they
Last week a user asked about BY variable group processing for SGAnnotate with SGPLOT procedure. The user provided a simple use case for the question (always a good idea) using the sashelp.class data set. The graph included a display of reference lines for the mean value of height using annotation. The
Most enterprises employ multiple analytical models in their business intelligence applications and decision-making processes. These analytical models include descriptive analytics that help the organization understand what has happened and what is happening now, predictive analytics that determine the probability of what will happen next, and prescriptive analytics that focus on