Credit check: Using advanced analytics to leverage a trillion dollars of data

With over one hundred million credit cards in the world accounting for over $1 trillion in charge volume every year, American Express deals with vast quantities of data.  The company has recently moved beyond data warehousing to an enterprise-wide Hadoop-based big data platform in order to maintain a competitive edge in analytics and decision science.

A commitment to the holy grail of digital commerce

Competing smarter with advanced data analytics

Report Summary

Historically, most companies have focused their data initiatives on internal analyses, such as dissecting customer lists or analyzing sales transactions. This is understandable, given that internal data is more accessible and much more easily integrated.

The hyperconnected car

The automotive industry has operated a fairly consistent model for the best part of 100 years. Car makers designed, built and marketed their products; they were sold through a network of dealerships and maintained by local and independent mechanics. 

How mobile is transforming insurance

Key findings include:

  • 62% of insurance executives believe mobile has unique capabilities with the potential to change the insurance business
  • 76%-87% of consumers express concern about mobile data privacy and security.
  • Insurers will need to allay customer concerns about the collection and use of their personal data and demonstrate the benefits
  • Insurers are beginning to offer traditional insurance products in new ways, including “on-demand” coverage

Case study: Franshion

Executive: He Cao, chairman

Big decision: Diversifying the business

Case study: EE

Executive: Richard Reeves, director of corporate strategy

Big decision: Where to deploy capital expenditure

Every year, EE invests around £600m (US$1bn) in its network, drawing on data from its 25m customers to direct these decisions. In 2014, the company decided to focus the extension of its 4G network along key transport routes, aiming to enhance customer satisfaction– and retention – by minimising the number of calls it had observed being dropped during rail and car journeys.

Case study: Cloudera

Executive: Tom Reilly, chief executive officer

Big decision: Finding a target company to acquire

Knowing that the company would soon be receiving fresh capital, Mr Reilly instigated a process to establish where the company could most benefit from an acquisition. For this, he turned to the customer data his company collects. Analysis revealed that data security and data privacy were the two standout concerns holding customers back from greater use of his company’s products.

Case Study: Commonwealth Bank of Australia

Executive: Kelly Bayer Rosmarin, chief executive officer, Institutional Banking and Markets

Big decision: Choosing which business lines to grow or shrink

Tackling chronic illness with smart devices

Could smart healthcare products hold the key to better quality of life for people living with chronic illnesses?

Healing with data

Analysing growing volumes of medical data could be the key to containing our ballooning healthcare costs. But will patients be willing to share?

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