Is big data really better?

Recently, I was reading an online article about predictive modeling and "big data."  Its premise was to determine whether the use of big data actually led to more accurate and meaningful predictive models and forecasts.  After citing numerous external examples and internal tests that the authors had compiled, it stated […]

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Overcoming forecasting challenges in pharmaceutical benefits management

I recently took some time to appreciate and celebrate the SAS Professional Services division’s 25th anniversary. I find it impressive that SAS professional services has been collaborating with customers across many different industries for 25 years to solve business problems, increase profitability and improve customer service levels. With so much industry […]

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Getting demand in shape

For supply chain managers and analysts Getting Demand in Shape can mean collecting the most pertinent data to support specific business processes and activities. Identifying new or previously unused data sources can be especially important. My most recent article titled “Getting Demand in Shape” in the May / June issue of APICS magazine […]

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Forecasting success: Reliance Power meets customer and political expectations with SAS

In the game of energy forecasting, you’re never 100 percent right.  And for developing countries, forecasters face rapidly expanding economies and high political expectations. Such is the case in India.  With its relatively young population (median age of 26), India is expected to take over China as the world’s most […]

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2014 retail predictions: make it a win-win year for you and your and consumers

If the latest raft of retail trading updates are anything to go on, it’s pretty clear who the winners were this Christmas: the consumers. A period of heavy discounting – aimed at bolstering weak sales and protecting elusive customer loyalty – was good news for cash-conscious customers, but left many […]

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Forecasting insights from nPower

In case you weren’t aware of the importance of forecasting for a utility company, it’s really BIG. Not only are you predicting the amount of power required to keep the lights on for fickle residential customers and for complex industrial businesses, you employ hedging strategies to protect against any unforeseen […]

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How to forecast profits with visual "what if" analysis

In this demo, Randy Guard, SAS VP of Sales Development and Product Management, quickly graphs profits per month and then automatically creates a forecast for the future. The application selects the best forecasting algorithm, accounts for seasonality and shows confidence bands for the forecast. Watch the video below to see […]

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Happy customers, happy staff, happy shareholders: It can be done

By rights, Steve McGivern, should be a worried man. As the National Forecasting, Roster & Planning Manager at British Gas Services, he has an impossible job: accurately predicting how many service engineers British Gas needs to service and repair millions of domestic boilers during any given week, even while the weather […]

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Forecasting with 15,000 variables and 7,000 models

How does a $55 billion company get a sense of its demand when it operates in virtually every market – from paint to electronics – on a global scale? That’s the question Timothy D. Rey answered during a presentation on how his company, Dow Chemical, used a data mining approach […]

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Use visual analytics to find and detect the best forecasting method

There are numerous algorithms used in forecasting, and each of those algorithms is optimized for a certain class of data.  How does a business analyst know which forecasting algorithm to use?  With the new version of SAS Visual Analytics, you don’t have to know – the product does all the […]

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