From a technology perspective, the average retail IT environment is typically struggling to maintain and provide value to its business users. PureData System for Analytics is the ticket to push the envelope on high value at a fraction of the cost.
“Moneyball” was the story of data-driven strategies being fully leveraged for success. It’s a phenomenon that’s moved beyond baseball. Now, we’re starting to see a similar trend at work with best-in-class CMOs, digital marketers, ad tech firms, marketing service providers and retail operations as
A key big data problem for business is one of linking up their disparate data silos with customer feedback data in order to identify the correlates of customer satisfaction and loyalty. By linking these sources, companies will be able to ask and answer bigger customer experience questions, embed
Animation: This use case looks at how savvy retailers can use big data - combining data from web browsing patterns, social media, industry forecasts, existing customer records, etc. - to predict trends, prepare for demand, pinpoint customers, optimize pricing and promotions, and monitor real-time
With a wealth of information readily available online, consumers are now better able to compare products, services and prices—even as they shop in physical stores. If retailers succeed in addressing the challenges of “big data,” they can use this data to generate valuable insights for personalizing
The customer-driven movement is getting stronger and stronger, and it’s about more than service—it’s about the experience you provide. The customer has indeed become the king for retailers, and smart retailers are using big data analytics to offer customized and personalized services and product.
In order to offer better insight to large-scale retailers, Brightlight Consulting needed an analytics solution that could master Big Data inherent to the retail industry. IBM PureData System for Analytics gave Brightlight faster quereis than ever before, allowing them to efficiently and simply
Earlier this week, IBM unveiled its yearly "5 in 5" list - five predictions that forward-thinkers expect will come to be within five years. This year's list envisions computers that will literally "touch" us, as well as see, hear, taste and smell. As Popular Science put it, "Siri suddenly seems
Leading organizations in financial services, telecommunications, retail, healthcare, digital media, insurance and other industries are outperforming their competition by generating new, actionable insights from big data. There are three dimensions in their performance that indicate a correlation
Organizations today are collecting tremendous volumes of data, generated by a wide variety of sources, often at extreme velocities. This is “big data”—the millions of stock trades, call detail records (CDRs), social media posts and patient test results produced every single day. Leading
As promised, we’re going to revisit a topic I introduced awhile ago in "Why Static Stinks". Based on what I’m seeing recently, static still stinks, so now is a good time to resurface our discussion. Collectively, we’re just not moving fast enough to fix the glaring issues that static–otherwise
According to several research firms, 70% of traditional data warehousing/Business Intelligence projects were considered failures. Fundamental to every data warehousing project is a basic and simple concept – “data integration.” Data integration technology became fundamental as data complexity,
Every day, our world creates 2.5 quintillion bytes of data. How businesses discover the real value in large volumes of data is key to their success. In this video, four IBM customers demonstrate how Smarter Analytics has helped them deliver the right product, prevent fraud, make informed and timely
With its 300 nationwide department stores, Dillard's created a huge volume of logistical and customer data. Needing a business intelligence solution to organize and process this massive data and enable better business decisions, Dillard's turned to IBM's Smart 7600 System. This analytics