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UK government departments and the wider public sector are under huge pressure to improve service delivery and efficiency. We also know that investments in data analytics and data science play a key role in transforming services to help citizens. So what are the key challenges preventing more widespread adoption of
An important concept in multivariate statistical analysis is the Mahalanobis distance. The Mahalanobis distance provides a way to measure how far away an observation is from the center of a sample while accounting for correlations in the data. The Mahalanobis distance is a good way to detect outliers in multivariate
Deloitte’s 2019 Banking and Capital Markets Outlook begins by stating that “a decade after the crisis, the banking industry is on firmer ground.” Shortly after it asserts that “there may be no better time than now to reimagine digital transformation.” Having tinkered at the margins to keep the lights on,
In my previous post, “Why personalising the student experience is critical to higher education’s viability," we examined the role customer intelligence can play in driving value for universities and students across the higher education journey. Specifically, analytics has a vital role to play in helping decision makers, particularly marketers, to
As data volumes continue to surge (with no signs of slowing down), the cost to handle all that data can have a very real impact on IT budgets. But for all the talk of the growing value of data, the cost side of the equation is often overlooked. After all,
Computer vision is one of the most sought-after artificial intelligence (AI) applications today, finding a wide variety of use cases in image recognition, object detection, biomedical assessment, and more. SAS supports a diverse set of AI and deep learning capabilities that can be used in many of these applications. One
Además de mejorar la eficiencia de las organizaciones, con el aprovechamiento del Big Data, las instituciones pueden gestionar información que los ayude a responder a las necesidades de los ciudadanos. Su uso en el sector del gobierno, por ejemplo, contribuye a mejorar la comprensión de los fenómenos sociales y apoyar
My favorite tech influencers teach, ask questions and share their knowledge freely. They value quality over quantity, and they engage with each other authentically. My goals on social media are to learn, engage with the world socially, and to share what I think is cool – sometimes this is about
SAS Decision Manager enables you to build and test decisions to use in batch processes, real-time web applications or with SAS Event Stream Processing. In this blog, I explain how to use Rulesets in an Event Stream Process project. If you are streaming data using SAS Event Stream Processing and
Flooding has been in the news the past few days, and that makes me want to analyze some data! I hang out at Jordan Lake (here in central North Carolina) a lot, so I decided to download the data for that lake, and do a graphical analysis. If you're interested
An analyst was using SAS to analyze some data from an experiment. He noticed that the response variable is always positive (such as volume, size, or weight), but his statistical model predicts some negative responses. He posted the data and asked if it is possible to modify the graph so
We are in the midst of our third Powerful Tools of Caregiver class offering, and I am reminded again of the importance of self care for caregivers. As primary caregivers, it is likely you will experience higher degrees of stress, exhaustion, and are more prone to illness. It is important
Según las últimas cifras entregadas por el Foro Económico Mundial en 2018, a diario, 2.000 millones de personas –cerca de la tercera parte de la población del planeta- hacen uso de los productos de una sola compañía global de consumo. Y es, precisamente, en el desarrollo de esa dinámica donde
Here in the US, there's a lot of talk about the flu each year. First, people discuss whether or not to get the flu shot. Then there are discussions about whether or not you or your friends have the flu (or something else). Then the discussions about what strain of
Statisticians often emphasize the dangers of extrapolating from a univariate regression model. A common exercise in introductory statistics is to ask students to compute a model of population growth and predict the population far in the future. The students learn that extrapolating from a model can result in a nonsensical