TOP TEN | ANALYTICS 2017
The year’s most popular articles on analytics


1. How artificial intelligence can deliver real value to companies

Companies new to the space can learn a great deal from early adopters who have invested billions into AI and are now beginning to reap a range of benefits. More →

2. Competing in a world of sectors without borders

Digitization is causing a radical reordering of traditional industry boundaries. What will it take to play offense and defense in tomorrow’s ecosystems? More →



3. How to win in the age of analytics

There’s greater potential in big data. What’s ahead as the field matures? More →

4. Using people analytics to drive business performance: A case study
A quick-service restaurant chain with thousands of outlets around the world is using data to drive a successful turnaround, increase customer satisfaction, and grow revenues. More →

5. Artificial intelligence in business: Separating the real from the hype

The potential for AI to infuse business and value chains across various industries is greater than ever before—but where should executives start? More →
6. Capturing value from your customer data

Companies can put their information to work by teasing out novel patterns, driving productivity, and creating new solutions. More →

7. The role of expertise and judgment in a data-driven world

The Obama campaign’s former data-analytics chief explains why a healthy dose of skepticism and a clear understanding of the process behind data collection leads to stronger strategies and real impact. More →

8. Advanced analytics: Nine insights from the C-suite

Conversations with hundreds of business leaders reveal nine ways that they are—and are not—adapting to the analytics revolution. More →
9. Applying analytics in financial institutions’ fight against fraud

Using data along with other cutting-edge tools can help organizations make better decisions and step up efforts to monitor fraudulent transactions. More →

10. Fueling growth through data monetization

A new survey finds that many companies are launching data-focused businesses. But few have achieved significant financial impact, which requires the right combination of strategy, culture, and organization. More →


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