The Cincinnati Zoo and Botanical Gardens transformed the customer experience and created more than USD 2.2 million in total benefits in just three months.
Experiencing exponential growth in business, the VAASAN Group couldn’t accurately forecast fluctuating sales orders across the Nordic region.
The VAASAN Group now uses a powerful business intelligence solution that identifies trends in customer demand and generates a rolling sales forecast, helping the company predict its production requirements and prepare for fluctuating customer orders.
For banks today, having more ways to communicate with customers is a good thing. But it has also made it harder for banks to figure out where and how to most profitably commit their marketing resources.
Leveraging predictive analytics, First Tennessee Bank is applying the ultimate acid test. It’s combining a granular understanding of the needs of customer segments with real P&L data to optimize its marketing spend, focusing on programs that deliver the highest ROI.
First Tennessee’s ability to target its campaigns more intelligently has increased its response rate by 3.1 percent, cut key marketing costs by nearly 20 percent and enables the bank to get the most from its resources.
This new commissioned study conducted by Forrester Consulting on behalf of IBM dives deeper into the trends surrounding big data and analytics to strategically examine the goals, challenges, and impact associated with customer analytics.
This white paper outlines the latest customer analytics opportunities and challenges facing sales, marketing, and customer service decision makers. It draws on IDC's research into big data and analytics (BDA) business and technology trends and provides recommendations for organizations looking to improve their customer analytics initiatives. The paper also considers the role of workload-optimized systems as a technology platform to enable customer analytics and describes the IBM PureData System for Analytics as one of the leading workload-optimized systems in the market today.
This paper defines what big data analytics mean to Communications Service Providers (CSPs), provides an overview of their most valuable uses in telecommunications, outlines what companies must look for as they adopt new big data analytics solutions and discusses how IBM can help.