SAS Voices

Data Management

Blend, cleanse and prepare data for analytics, reporting, or data modernization efforts.

Advanced Analytics | Analytics | Artificial Intelligence | Data Management | Machine Learning

Charlie ChaseJanuary 17, 2018 2

Why do we rely on judgment when analytics outperforms it?

Wherever there is uncertainty there has got to be judgment, and wherever there is judgment there is an opportunity for human fallibility. Donald Redelmeirer, physician-researcher Recently, I read a fascinating book titled The Undoing Project: A Friendship That Changed Our Mind by Michael Lewis (W.W. Norton & Company, 2017). Lewis

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Manufacturing | Retail

Data Management | Internet of Things | Machine Learning

Helmut PlinkeJanuary 4, 2018 0

Data management predictions for 2018

What will 2018 unveil for the data management market? I searched expert opinions on technology trends for 2018 and matched them against my own to uncover the five major trends that I think we’ll see in data management this year: 1. Data movement becomes more important. Cloud providers have proven

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Analytics | Data Management

Helmut PlinkeDecember 7, 2017 0

Are you ready for the Chief Data Officer challenge?

The primary obstacle to becoming a data-driven business is that data is not readily available, leaving valuable insights unused in data silos. To overcome this hurdle, today’s companies are creating a new role: Chief Data Officers (CDO). Responsible for unlocking insights hidden in data silos, the CDO is tasked with

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Analytics | Data Management | Fraud & Security Intelligence

David KennedyDecember 5, 2017 1

How law enforcement can use analytics to combat the opioid epidemic

A steady drumbeat of news coverage makes one thing clear: Opioid abuse is rising and has reached epidemic levels throughout our country. Overdoses from the diversion and abuse of prescription opioids are one cause of the surge in deaths. Overdoses from heroin and other illicit synthetic opioids (such as heroin,

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Government

Customer Intelligence | Data Management

Lonnie MillerOctober 11, 2017 0

Two memorable multi-channel customer experiences

I’ve been making note of recent interactions and observations with different companies that I’ve done business with lately. My goal is to share with you real ways in which excellent customer experiences are shaped. Observation #1: Witty conversations rule As I write this, I’m sitting at a Panera Bread restaurant

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Advanced Analytics | Analytics | Data Management | Machine Learning

Charlie ChaseAugust 16, 2017 4

At the end of the day, it’s all about analytics-driven forecasting

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,

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Manufacturing | Retail

Analytics | Data Management | Data Visualization

Georgia MarianiJune 20, 2017 0

6 examples of data management, reporting and analytics in higher education

Today in higher education, savvy users expect to have the information they need to make data-informed decisions at their fingertips. As such, leaders in institutional research (IR) are under pressure to provide these users with accurate data, reports and analyses. IR has been tasked with transforming data and reports in

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Education

Randy GuardMay 16, 2017 0

How companies can succeed in an analytics economy

Artificial intelligence. Big data. Cognitive computing. These buzzwords are the ABCs of today’s marketplace. In a recent interview at SAS® Global Forum, I discussed the unprecedented pace of change that we’re seeing in the market. It’s creating what I like to call an analytics economy. In this economy, analytics –

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Data Management