With today’s sophisticated, connected customer, the traditional 360-degree view is not sufficient, so businesses are focusing on improving customer experience.
The key to enriching customer experience is an enhanced 360-degree view of the customer, which understands everything about your most
We asked experts from diverse organizations for their unique perspective on major trends in big data and analytics as we head into 2015. Hear their views on the key organizational imperatives, value realization and the key skills needed to support this.
Turn data and analytics into competitive
Customer Intelligence personalizes consumer experiences, delivers contextual and relevant messages to consumer based on deeper insight of each consumer’s buying behavior, web activity, social media presence and much more. The new business imperative for the retailers today is to use this customer
Big Data & Analytics Heroes
David VinsonBusiness Intelligence and Analytics Lead at Nike
David Vinson, business intelligence and analytics lead at Nike, believe that There’s a lot of new data out there—in fact, we now have access to data from the entire supply chain (from provisioning materials to build the shoe, to actually delivering the shoe on the dock, to selling the shoe). Big
Confidence in data is essential regardless of the bigness of the data being analyzed. In order to make business decisions based on the analysis of data, you need to be sure that the information upon which you are making those decisions is trustworthy.
Before business users can start to analyze data and consider the next best actions to improve results, it is typically required to submit a request for the data. Depending on the backlog of requests to IT, the business user might have to wait days, weeks or more before moving ahead with analysis
Apple’s product reveal on Tuesday introduced thrilling new capabilities in mobile. The launch of their Apply Pay program will allow iPhone users everywhere to forego credit cards. Management of this type of sensitive big data requires dependable information governance measures from the start. What
Retailers today have an insurmountable amount of data to digest and act on quickly not just to personalize the customer experience, but also to prevent fraud. This week’s IBM Big Data & Analytics Hero, David Speights, chief data scientist at The Retail Equation, shares some insights with us.
In this post, the fourth installment of our five part series focused on real-time actionable insight, we explore how to optimize decision management by infusing context-aware streaming analytics into all decisions. Using IBM’s four pillar approach (Sense, Orient, Decide and Act) you can be assured
Big data can be turned into big business opportunities, but can also send you on a wild goose chase. Using IBM’s four pillar approach (sense, orient, decide and act) you can correct course and shift from reactive to proactive effectively orienting your organization to the business moment.
Data is emerging as the world’s newest natural resource and the basis for a new kind of competitive advantage. Yet, for many organizations, the increasing volume, variety and influx of data is straining their IT infrastructures—traditional infrastructure was never designed to handle the magnitude
When data floods companies in such volume as recent years have seen, it can be difficult to know if big data is reliable data. This “data uncertainty” poses a problem for any company hoping to take advantage of their information’s potential. How can companies ensure that their data meets the
Not every customer or prospect is ready to buy. This means that when you engage you must do so in the context of the buyer’s frame of reference, not solely as a seller ready to make a deal. But how is this done using big data and analytics?