SAS Voices

Data Management

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

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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Analytics | Data Management

David PopeMarch 24, 2017 0

Don't let data issues delay analytics

In a recent presentation, Jill Dyche, VP of SAS Best Practices gave two great quotes: "Map strategy to data" and "strategy drives analytics drives data." In other words, don't wait for your data to be perfect before you invest in analytics. Don't get me wrong -- I fully understand and

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Advanced Analytics | Data Management | Internet of Things

Charlie ChaseMarch 15, 2017 7

Omnichannel is changing the way we view demand planning

Omnichannel Analytics are helping companies uncover patterns in big data to improve the customer experience. Using those insights, companies can anticipate what consumers are planning to purchase and influence that purchase in real time. Companies are experiencing unprecedented complexity as they look for growth and market opportunities. Their product portfolios are

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Manufacturing | Retail

Data Management | Internet of Things

Caroline HermonJanuary 30, 2017 0

It’s data integration, but not as we know it

I’ve had several meetings lately on data management, and especially integration, where the ability to explore alternatives has been critical. And the findings from our internet of things (IoT) early adopters survey confirms that the ecosystem nature of data sources in IoT deployments means we need to expand the traditional

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Data Management