By Ashish Trivedi
Combining structured data, semi-structured data to perform analytics is hard. If you’re like most, the data that you need and use every day are spread out throughout your organization. Some is found in your enterprise data warehouse, some in spreadsheets, and some in ODSs. This only accounts for structured data. Semi-structured data will be found in XML...
By Varun Daga
As a consumer, who doesn't like a discount, right? Discounting is one of the most common and powerful techniques used in consumer-based businesses to lure back lost customers and to maximize revenues after a successful sales season. But with great power comes great responsibility. How do you know what products to discount, when to discount, and by how much? Often (and it's scary to think)...
By Brian Griffin
"Do you want fries with that?" This is likely what you will be asked next after ordering a hamburger or sandwich. If not fries, perhaps another side item may be offered that will appeal to your taste buds. In its most basic form, this is an example of cross-selling. To cross-sell means to sell additional goods and services to a customer who is already buying something...
By Francesco Sguanci
No catch-all methodology for Churn modeling
Marketing professionals constantly struggle to leverage advanced analytics to improve upon existing KPIs. One common business issue is reducing customer churn – that is, minimizing the number of customers who stop buying your products or using your services. Predictive analytics for churn modeling is the buzzword that...
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