I routinely speak with executives who tell me that the ability to “sell” analytical results is just as important as producing them. In this post I will share some of what I have learned in several years of presenting complicated analytical results to audiences, both technical and lay. Some of
What sends a data management product to the top of the “hot” list? In a word – speed. Especially when that speed can gracefully accommodate the huge world of streaming data from the Internet of Things. One of SAS’ hottest (and recently enhanced) products, SAS Event Stream Processing is an
There has been a spate of recent high-profile airline crashes (Malaysia Airlines, TransAsia Airways, Germanwings,...) so I was surprised when I saw a time series plot of the number of airline crashes by year, which indicates that the annual number of airline crashes has been decreasing since 1993. The data
In principle, the best method of mitigating fraud is to set up a strong detection system. A system perceived as unbeatable will mean that potential fraudsters are discouraged from attempting anything and move on to easier targets. The premise of deterrence is that a system that detects fraud and abuse
Data science expert Andy Pulkstenis describes how to skip common machine learning mistakes.
SAS experts point to five trends that are shaping the future for digital tax administration.
To achieve this kind of Intelligent Decisioning across hundreds of thousands of customer accounts, you can’t rely on manual analysis.
There is much to consider about getting value from deploying AI and analytics at the edge to manage IoT data. Read more here.
Geocoding is no longer limited to just Base SAS. You can also geocode from within Visual Analytics, thanks to the integration with the Esri geocoding api. This feature is part of the Esri Premium agreement, and became available in VA 8.3.
Banks increasingly face challenges that put pressure on the bottom line. In this post, I’ll focus on the threats that affect the risk departments of banks. In my view, there are three critical areas. The 3 core challenges 1. Regulatory and accounting demands The first is increased regulatory and accounting
Datenmanagement alles andere als eine neue Disziplin. Dennoch verändert sich der Umgang mit Daten angesichts neuer Technologien wie künstliche Intelligenz (KI) und Machine Learning ebenso sehr wie die Analyse dieser Daten. Heute hat so ziemlich jedes Unternehmen moderne Datenmanagement-Werkzeuge im Einsatz, doch die angewandten Praktiken und Strategien stammen vielfach noch
What’s the most important component of analytic analysis? The data? The model? The deployment? Getting the business problem right? All the above? Or does it simply depend on who you ask? While the model gets all the attention, and the data requires most of the effort, there is that step
The SAS® Global Forum Technology Connection isn’t just an opportunity to show off what SAS has been working on. It’s a chance to meet the people behind SAS® technology, see the results of their relentless curiosity, and understand how the world is transformed by it. Executive Vice President, Chief Operating Officer and
Analytics-driven forecasting means more than measuring trend and seasonality. It includes all categories of methods (e.g. exponential smoothing, dynamic regression, ARIMA, ARIMA(X), unobserved component models, and more), including artificial intelligence, but not necessarily deep learning algorithms. That said, deep learning algorithms like neural networks can also be used for demand forecasting,
West Perth ist das „analytische“ Paradies. Das wissen wir nun dank des Projekts „Paradise Found“ und des Blogbeitrags meines Kollegen Andreas Becks. Klar ist, ohne Machine Learning und Analytics wären wir niemals anhand der untersuchten fünf Millionen Datenpunkte zu 148.233 Orten weltweit aus 1.124 Datenquellen auf den Stadtteil der australischen Boomtown
In the first three articles of the series we drilled down to Data Management and Data Quality as the basis for fraud detection analytics, to Business Rules and Watch lists techniques that play always a crucial role for claim handlers and fraud investigators and to Advanced Analytics which add a
In my last post, I talked about how to observe the impact of modernisation through a data quality lens. I asked you to consider the quality of your legacy data and what that means on the "shiny new toy" you intend to buy in the future. In this post, I
.@philsimon with some recommendations on modernization.
.@philsimon on whether organizations need MDM to gather valuable insights about their customers.
Even the most casual observers of the IT space over the last few years are bound to have heard about Hadoop and the advantages it brings. Consider its ability to store data in virtually any format and process it in parallel. Hadoop distributors, such as Hortonworks, can also provide enterprise-level
Many of us here at SAS are hustling to prepare for SAS Global Forum set to begin April 18 in Las Vegas. This year’s agenda is shaping up to be a “can’t-miss” event. Monday, before SAS Global Forum begins, there are two SAS Certification testing events. Then after the conference
2015 was a busy year for the hotel industry. ADR, Occupancy and RevPAR achieved record highs. We saw extensive merger and acquisition activity, culminating at the end of the year with the acquisition of Starwood by Marriot and Fairmont by Accor (and don’t forget Expedia’s Orbitz acquisition, of course). Favorable
Today, we live in a polarized world that divides family members, friends, and business colleagues. It effects everything we do from the way we communicate with one another to how we handle business challenges. I have seen long time business colleagues have passionate discussions to defend their supply chain position
with Natalie Osborn, Senior Industry Consultant, Hospitality and Gaming Practice, SAS We’ve taught analytics 101 through the last couple of blog posts, and now that you have passed that course, you are ready to take an advanced course in analytics. Ok, not really, we won’t subject you to that, but
The Internet of Things (IoT) is a revolutionary approach that will radically change our lives, our way of integrating with technology, and the way we do business and marketing. Companies have already defined a strategic plan for collecting and organizing data coming from the IoT. The next step is to
Is text analytics part of your current analytical framework? For many SAS customers, the answer is yes, and they've uncovered significant value as a result. As text data continues to explode both in volume and the rate at which it's being generated, SAS Event Stream Processing can be used to
With so much information available about high-performance analytics, business intelligence and visual analytics, it can be difficult to know exactly where to begin, especially if you don’t have a team of statisticians standing by. I'm frequently asked by customers who hope to take advantage of analytics how to get started. How do
I don’t know why I’m on this medical theme lately – maybe it’s because my parents are aging. They talk about bits falling off, take lots of naps and describe how body parts don’t work like they used to. They’ve gone to pre-packaged pills – dividing up their medications by
.@philsimon on those who minimize the importance of data.
Dylan Jones (@dataqualitypro) explains how data overloading occurs -- and how to find a better solution.
