SAS Voices

Data Management

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

Data Management

Carmen GallagherDecember 19, 2016 0

4 steps to get started with data governance

Data governance seems to be the hottest topic at data-related conferences this year, and the question I get asked most often is, “where do we start?” Followed closely by how do we do it, what skills do we need, how do we convince the rest of the organisation to get

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Analytics | Data Management | Data Visualization

Ian JonesDecember 15, 2016 2

No data scientist? No analytics platform? No problem.

“Analytics” and “data scientist” aren’t new terms, but they are trending buzzwords. The popularity of these concepts has created a false impression: Analytics are mysterious abstractions that can only be decoded if you have a white lab coat and an advanced degree in computer science. The reality couldn’t be more different.

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Energy & Utilities

Data Management

Christine CoudertDecember 7, 2016 0

Rise of the CDO reflects the rising role of data

As technology evolves, so do the c-suite roles related to technology. In particular, the roles of Chief Digital Officer and Chief Data Officer – both referred to as CDO – have seen rapid changes. This post will document the changes I've observed in these two roles, and answer questions I've heard as our customers have been navigating the

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Data Management

Alan CudneyNovember 2, 2016 0

Four ways to continue the health care transformation

Electronic health records (EHRs) and the overall advancement of information technology have produced a tsunami of data that must be stored, managed and used. Some had naively hoped that EHRs would bring a simpler, more streamlined industry. Instead, we’re finding that the delivery and management of health care is more

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Health Care

Advanced Analytics | Data Management

David PopeOctober 24, 2016 0

Analytics: Four key elements for success

Analytics provides better insights into why something happened, or helps provide decision makers with information about what will happen in the future. That allows organizations to act now to improve outcomes instead of reacting to events after they happen. But it takes more than analytics alone. Achieving this level of

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Analytics | Data for Good | Data Management

doctor looking at clinical data on tablet

David DowningOctober 21, 2016 0

How mature is your decision-making strategy?

In recent healthcare blogs I’ve looked at the need to drive more value from the UK’s National Health Service (NHS) and how this relies upon the ability to make decisions based on robust, data-driven insights. But what value will these decisions have if they're not founded on a mature data

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Health Care

Data Management | Machine Learning

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

Blogs

Blogs

Data Management