SAS Voices

Data Management

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

Charlie ChaseOctober 7, 2016 12

Machine learning changes the way we forecast in retail and CPG

Machine learning is taking a significant role in many big data initiatives today. Large retailers and consumer packaged goods (CPG) companies are using machine learning combined with predictive analytics to help them enhance consumer engagement and create more accurate demand forecasts as they expand into new sales channels like the

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Manufacturing | Retail

Data for Good | Data Management

Dan StevensOctober 6, 2016 0

A playbook for analyzing real world intelligence in a health care setting

Real world data collected in a functioning health care setting instead of a controlled clinical environment can provide opportunities for new and deeper insights across life science and health care organizations. However, managing, analyzing and extracting actionable information from the varied available sources can present unique challenges. The sheer size of these

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Health Care

Data Management

Carmen GallagherSeptember 29, 2016 0

Big data allows us to rethink data strategy

Start with the end in mind -- wise words that apply to everything, and in the world of big data it means we have to change the way we look at managing the data we have. There was a time when we managed data quality, and the main goal was

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Data Management

Carmen GallagherSeptember 22, 2016 0

Four key data monetisation opportunities

What if you could predict with near-perfect accuracy what you’re going to sell and when your customer is going to buy? Right supply, right time is the goal German manufacturers have set themselves, without reducing the configuration options customers expect. Having almost completed stage 1 of their plan – changing

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Manufacturing

Data Management | Internet of Things

Switching models on the gateway using the Helix Device Cloud interface

Saurabh MishraSeptember 5, 2016 0

How to manage the IoT analytical lifecycle

Since the idea of an “IoT analytical lifecycle,” may be understood in many different ways, let’s start with a definition. Performing analytics at the data center and the cloud is well established practice, and is still quite relevant. With growing numbers of connected devices and availability of computing capabilities at

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Manufacturing

Data Management

Tom DavenportAugust 26, 2016 1

5 steps to analytic modernization

Some organizations I visit don’t seem to have changed their analytics technology environment much since the early days of IT. I often encounter companies with 70s-era base statistical packages running on mainframes or large servers, data warehouses (originated in the 80s), and lots of reporting applications. These tools usually continue

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Advanced Analytics | Data Management

Charlie ChaseAugust 15, 2016 0

The Demand Signal Management Proposition

"Tap into all your demand signals. Organize. Visualize. Analyze. Predict. Orchestrate. Optimize." The availability and collection of data are compelling companies to invest in demand signal management solutions to take advantage of the vast amount of information to support their planning processes. However, many have not gotten the return on

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Manufacturing

Data Management

Emanuela SfercoAugust 5, 2016 0

Why does your company need an analytics culture?

The digital disruption is creating unforeseen events, such as new competitors, products and services that threaten the performance and positioning of consolidated players. Big data and analytics prove themselves, through successful user cases, as the answer to intercept the demand, prevent churn, draw an integrated view of the customer, manage

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Data Management | Fraud & Security Intelligence

Henrik KiertznerAugust 3, 2016 1

How will Brexit impact cybersecurity?

Some weeks have passed since the United Kingdom voted, by a margin of 52 per cent for and 48 per cent against, to leave the European Union, the organization it's been a leading member of since 1973. The tumultuous global reaction to the vote has those of us in information

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Manufacturing

Data Management

Carmen GallagherJuly 3, 2016 0

The three P’s of data monetisation

Data monetisation is a hot topic these days. Especially for people like me watching the movements of early adopters – companies who are using data to create new revenue streams or even create new businesses to capture those revenue streams. DataStreamX is a notable start-up whose sole business is cashing

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