If you know me, you probably know that I spend a lot of time on the water. I like speed paddling (dragon boat, outrigger canoe, surfski, and racing SUP), and I also have a big pontoon boat at Jordan Lake where I try to go fishing at least once a
In an increasingly complicated operating environment, the global oil and gas industry struggles to optimize their asset portfolio. Producers combat severe challenges inherent to aging facilities in the context of pricing volatility. Change is the new constant, as the cyclical nature of the oil and gas industry means that producers
The dramatic drop in crude oil prices from the highs above $100USD per barrel down to levels around $50 per barrel is one of the drivers behind the industry’s march towards improved operating efficiency. Along the corridors of Independent Oil Companies (IOCs) and National Oil Companies (NOCs), machine learning and
Carbon Dioxide ... CO2. Humans breathe out 2.3 pounds of it per day. It's also produced when we burn organic materials & fossil fuels (such as coal, oil, and natural gas). Plants use it for photosynthesis, which in turn produces oxygen. It is also a greenhouse gas, which many claim
Regulations, corporate drivers, leadership and market influences have combined to produce a patchwork of uneven progress on initiatives such as distributed generation, customer choice, asset optimization and the industrial Internet of Things. These initiatives all rely on analytics to gain the most return on investment. To better understand organizational readiness
Ya no se trata de imaginar cosas. Cada día las empresas enfrentan miles de desafíos. Desde decisiones de negocio hasta procesos operativos, pasando por la manera de relacionarse con sus clientes o de preparar los informes de cumplimientos regulatorios o cuidarse de los ataques o fraudes. No son escenarios que
When presenting information in form of a graph we show the data and let the reader draw the inferences. However, often one may want to draw the attention of the reader towards some aspect of the graph or data. For one such case, a user asked how to highlight one
In recent years, solar panels have become much more economical, and therefore more popular. But because of the curvature of the Earth, the angle at which you need to install the panels varies, depending on where you live. In this example, I demonstrate how to visualize this kind of data
I. Situación del Cliente El esfuerzo de utilizar datos para probar los errores de cálculo de la garantía involucraba demasiado tiempo, sin embargo al calcular la estimación de energía perdida del año anterior, Jerry Williams, Gerente del Programa de Sustentabilidad Ambiental de SAS cambió su perspectiva. La decisión se basó
In nahezu einem Jahr findet die neue EU-Datenschutz-Grundverordnung (DSGVO) Anwendung. Wer bisher dachte, das hat noch Zeit und wird nicht so heiß gegessen, wie es gekocht wird, der wurde von der Ankündigung des Bayerischen Landesamts für Datenschutzaufsicht überrascht: Bayern kündigt schon erste Kontrollbesuche an. „Abwarten und nichts tun ist mehr
Digitalisierung braucht Analytics. Aber was braucht Analytics? Unter diesem Motto ist die mayato GmbH beim SAS Forum in Bonn am 29. Juni 2017 als Partner vertreten. Heute stellt Geschäftsführer Georg Heeren seine Firma in einem Gastbeitrag vor. „Kunden, die diesen Artikel gekauft haben, kauften auch: …“ oder „Kunden haben außerdem
The widespread adoption of the term "analytics" reminds me of the evolution of the term "supply chain management." Initially the term focused on supply chain planning. It involved demand and supply balancing and the heuristics and optimization tools that came out of advanced planning and scheduling. Over time practically everything was included
Operators of transmission networks and wholesale electric markets – ISOs (Independent System Operator) and RTOs (Regional Transmission Organizations) – have undergone sweeping changes in recent years, and the pace won’t be letting up anytime soon. With opportunities ranging from the growth of renewables to newly data-rich operating environments, and challenges
This article is motivated by a recent question on the Communities Web Site on creating a scatter plot with additional summary information. Recently, I described how to create a scatter plot with a box overlay. While such graphs have been discussed in earlier posts, this article provided a visual benefit
This is the 4th installment of the Getting Started series. The audience is the user who is new to the SG Procedures. Experienced users may also find some useful nuggets of information here. Series plots are frequently used to visualize a numeric response on the y-axis by another numeric variable on
Los episodios económicos y financieros del presente siglo han apremiado al sistema financiero a generar bases exhaustivas, perdurables y también adaptables tanto en el ámbito local como el internacional; sin embargo, aún se siguen analizando, probando, modificando e implementando planes, estrategias e ideas sobre el camino, lo cual no es
Do you remember the 90s? It seemed like every company and organization had some sort of strategic plan that had “2000” in its title. And they were all going to achieve and exceed these Year 2000 goals … if their systems didn’t crash at 12:00:01 on January 1, 2000! So
Lenin hatte gelächelt und von seinen Erfolgen im Internet of Things berichtet; richtig begeistert war er gewesen. – Aber jetzt murrt er: „Das ist alles Müll! Internet of Trash sollte es heißen! Die Daten stimmen nicht, die Leute schimpfen über das Projekt, der Fachbereich und meine Chefin sitzen mir im
Machine learning is a type of artificial intelligence that uses algorithms to iteratively learn from data and finds hidden insights in data without being explicitly programmed where to look or how to find the answer. Here at SAS, we hear questions every day about machine learning: what it is, how it compares to
Actualmente es muy común escuchar conversaciones relacionadas a la necesidad de transformar el negocio para competir en el nuevo entorno digital, incluso algunas organizaciones están diseñando sus planes para llevar a cabo esta transformación. Los principales cambios que se están planteando en las organizaciones están relacionados con la necesidad de
Tell me if you’ve heard this before: Your company hired (or re-titled) a talented data scientist and they have great skills and no data. Or they're marginalized by IT because they're misunderstood. They're offered “cleansed” data that will fit into the hardware provisioned. What they want is “all” relevant data
Antes que el data management existiera como lo conocemos actualmente, la información generada en las empresas era depositada y centralizada en un solo lugar, el denominado enterprise data warehouse (EDW). Los EDW´s han sido de gran utilidad sobre todo para datos estructurados, transaccional e internally generated. Sin embargo, el big
Si se desea comprender cómo se desarrollan los procesos de Data Management y con ello poder hacer uso de todos los beneficios que éstos ofrecen, como primera instancia debemos clarificar qué es el Data Management y cómo está integrado. De acuerdo a la DAMA, Data Management Association, este concepto engloba
¿Cómo alcanzar el éxito empresarial basándose en la analítica y gestión información? Esta es una pregunta que resulta común en las compañías cuando se está considerando la adquisición de algún servicio de Business Intelligence, y la pregunta puede responderse planteando una nueva interrogante ¿cómo podría usted o su equipo tomar acertadas
“La arquitectura abierta SAS Viya hace a la analítica accesible para todos, y queremos aprovechar esa apertura creando una comunidad para compartir el conocimiento”- Randy Guard, Vicepresidente Ejecutivo y Director de Marketing de SAS En SAS llevamos más de 40 años al servicio de su compañía y durante estas décadas
A la par de las metas empresariales que cada compañía se haya trazado para 2017, como la expansión a diversos territorios, conquista de nuevos mercados, amplificación de líneas de negocio, entre otras, es importante que los directivos estén preparados para enfrentar los cambios que el sector empresarial prevé. Sin importar
It’s no secret that the US energy landscape has undergone massive changes in recent years: the emergence of cost-effective renewables, the natural gas revolution, the wide-scale penetration of intelligence across energy delivery networks, and soon a new resident at 1600 Pennsylvania Avenue. All of these changes are impacting different pockets of
The utility industry is ripe with analytic opportunities. Usually, when I share that perspective, thoughts immediately jump to making the energy grid more efficient. Certainly, there are efficiencies to gain with improved data about where power is being consumed and the sources that are available to support it. However, there
Anteriormente, el sector empresarial se enfrentaba constantemente a la escases de información de aquello que ocurría en su compañía, tanto a nivel de procesos internos como de interacción con los clientes, siendo este último punto el más relevante por estar ligado la fidelización o desencanto de la marca. Sin embargo,
“Analytics” and “data scientist” aren’t new terms, but they are trending buzzwords. The popularity of these concepts has created a false impression: Analytics are mysterious abstractions that can only be decoded if you have a white lab coat and an advanced degree in computer science. The reality couldn’t be more different.
