Big Data Without Big Headaches

In case you're still in doubt, let's look more closely at these three areas:

Data Architecture
Nearly every retailer is interested in capturing user behavior on engagements, purchases, offline transactions and social data, as well as catalog and customer profiles. Limiting the scope of data analysis to this basic functionality allows for the creation of templates with standard data inputs. This makes it easier to capture customer data and analyze it. To simplify data architecture, you can use the 80/20 rule: 80 percent of big data use cases (which is all most retailers need) can be achieved with 20 percent of the technology and effort.