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Featured Article
 
Interview with Philip Howard - Bloor Research

Philip_HowardPhilip Howard started in the IT industry in 1973 and has worked as a systems analyst and programmer, as well as in sales, marketing and product management. Working with Bloor Research since 1992, Howard is now Research Director. He specialises in databases, data management, data integration, data quality, data federation, master data management, data governance and data warehousing. Howard also contributes to various magazines and has written a number of reports.

Predictive Analytics Insight had an exclusive interview with him.

 


T. Rowe Price is using predictive analytics to enhance its call center operations

T. Rowe Price needed a solution that would solve the business and marketing needs directly tied to the cross-selling application used by its customer call center service associates. The predictive analytics solution they’re using supports call center agents with more accurate, personalized product and service recommendations for use during inbound service calls.


Opinion: Maximizing data potential by deploying EFM

It seems that companies are recognizing the importance of collecting customer feedback. However, research revealed that, although business is at last taking note of customers’ opinions, few organizations actually use this data for any informed decision-making to improve their business. An approach known as Enterprise Feedback Management (EFM) can help process customer feedback and convert it into something that can be used in all aspects of customer relations.


Emperors Palace takes the gambling out of marketing campaigns
Emperors Palace has implemented predictive analytics software to enhance customer loyalty and increase its market share. The company uses predictive analytics to reduce loyalty-offer mailings to guests by 35 percent, while retaining the same response rates. This allows them to make more effective use of marketing spending and substantially expand other marketing activities.


Predictive analytics cures biotech headaches

With more than 300 drug products and vaccines currently in clinical trials, biotechnology is responsible for hundreds of thousands of medical diagnostic tests, making it one of the most research-intensive industries in the world. Using predictive analytics allows these businesses to discover patterns, avoid potential pitfalls in the development process and predict consequences in the research and manufacturing of a product.


How gaming organizations increase customer value with predictive analytics

In the gaming industry today, understanding large volumes of customer data is critical to increasing share of each customer’s wallet. In an effort to create and sustain a competitive advantage, cutting-edge gaming organizations rely on predictive analytics to monitor customer behavior and increase customer lifetime value.


Corona Direct increases long-term customer profitability by 20 percent

To sustain its current level of growth, Corona Direct's customer acquisition campaigns need to be profitable. To turn its unprofitable acquisition strategy into a profitable one, Corona Direct implemented predictive analytics software. This application enables Corona Direct's marketers to efficiently create, optimize, and execute their outbound marketing campaigns.







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