Have you ever been involved in executing an exploratory analysis based on an integrated clinical trial database? If so, you've probably experienced firsthand how elaborate the initial phase of data access and data processing can be. Market analysts estimate the ratio for preparing the data, compared to actually analyzing the information,
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
Are you happy with the ROI on your analytics investments? Recently we’ve seen an upswing in organisations investing in analytical platform capabilities. One can assume the goal of these investments is to turn transactional data into a strategic asset. However, analytics alone will not do it. Unless your organisation is
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
Energy suppliers are fighting for prime position in the domestic energy supply market. Disillusioned customers, increased competition due to a flood of new entrants and tighter regulations are forcing suppliers to reassess their business models. According to UK regulator Ofgem, there were 3.8 million account switches in the first six
While men still outnumber women in the analytics field, there are plenty of opportunities available for women. At a recent Chief Data and Analytics forum, I was encouraged to see a well-balanced number of senior executives presenting about the business of analytics. Speakers included 12 women and 14 men, which indicates a
With today’s customers able to access rich sources of product and service information – especially pricing data – when they are mobile, retailers are being forced to innovate in the way they capture consumers’ attention. Unfortunately, attention spans are rapidly decreasing to just the few seconds that a user spends
At SAS, we use terms like “machine learning,” “predictive modeling” and, of course, “analytics” quite a bit in our day-to-day business. Not surprising, given that we're the largest analytical software vendor out there. But have you noticed that these terms are popping up more frequently in news articles and blogs?
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
With the first debate between the two candidates behind us and the culmination of the US presidential election drawing near, who wouldn’t love to predict the winner? I don't have a crystal ball, but I do have the power of unstructured text analytics at my fingertips. With the help of
