One of the world's leading turbine companies had an enterprise data warehouse but the process of loading the data was taking 12 hours and more. Therefore, Japan and Australia's data was two days behind. For about ten to twelve hours per day, the warehouse was closed. A critical issue was how to reduce data latency and improve data quality.
A leading fitness company in California, USA, wanted to invest in a new form of communication - direct marketing. The company's large customer base made direct mailers prohibitively expensive to send to all of them. The company wanted to use analytics at the same time to market to its most persuadable customers who could not be reached by email. Express Analytics gave it a solution.
A North American industry leader in lighting manufacturing and retailing was finding it difficult to optimize its email and direct mail marketing campaigns. The company needed a Customer Interaction Management (CIM) database that would integrate data from all sources and improve the open and click rates for catalogs and emails. By establishing processes to cleanse, standardize, and enrich the customer data, Express Analytics team created customer segments based on historical transactions and campaign responses. Simply by improving open rates and click rates, the retailer saved about $200K in the first year.
Direct mail marketing is any physical correspondence that you mail to your clients in hopes of getting them to patronize your business. Many businesses have moved from outbound marketing to inbound marketing as the inbound approach dominates the market. But even in the digital age, many businesses are re-evaluating their direct mail marketing efforts. So the question is - does direct marketing still work today? Download our white paper for the answer. You will be surprised.
What Is Machine Learning And Machine Learning Techniques : A Complete Guide By: Anubhav Sarkar and Mehar Singh Gambir The process of analyzing data and finding patterns in it to be used for meeting business goals is a generalized way of defining data analytics. But with t
Before we launch into why conducting sentiment analysis of your brand on social media is important, and how to go about doing sentiment analysis with Python, here’s a quick lowdown on sentiment analysis itself. Why Sentiment Analysis? Till a few years ago, analyzing a cust
Quick Service Restaurant industry to grow profits? Using restaurant data analytics, you can analyze every bit of data related to your business and convert them into actionable insights that can help with everything from menu design to staff training.
The traditional brick & mortar grocery sector faces two threats: Internet-based shopping & the entry of non-traditional players in the segment. In addition to learning more about their consumers, brick-and-mortar retailers can provide a better shopping experience than online retailers through the use of technology.