Analytics & Business Intelligence
Lessons from Becoming a Data-Driven Organization
Case studies from a range of businesses highlight how analytics requires organizations to evolve.
Case studies from a range of businesses highlight how analytics requires organizations to evolve.
A new data tool from South Africa’s Nedbank helps its clients understand their customers better.
What’s happening this week at the intersection of management and technology.
South Africa’s Nedbank uses analytics to help its clients reassess their customer relationships.
Professor Marshall Van Alstyne on how platform strategy and IoT combine to produce value for all players in the ecosystem.
Many financial firms in South Africa are investing in analytics technologies and human capital to build capabilities that strengthen customer relationships and set the stage for long-term growth through data-driven services.
Companies can position themselves now to use messaging platforms and AI to fulfill customer needs.
Many organizations are finding success with IoT projects with thoughtful planning.
As demand for big data technologies grows, so does the problem of finding sufficient skills.
What’s happening this week at the intersection of management and technology.
Success in the digital age requires a new kind of ethical diligence in how companies use data.
Instead of replacing human workers, software robots are an opportunity to augment their skills.
The information economy is giving way to an economy focused on analytics-based data products.
AI’s value for managers lies in its ability to predict equipment failures and assess human emotions.
Digital transformation has been positive in many ways, but some long-term trends are troubling.
Digital transformation is just a step in the journey toward a cognitive technology revolution.
What’s happening this week at the intersection of management and technology.
An infographic provides highlights of MIT SMR‘s 2016 Internet of Things report.
The IoT creates connections among organizations and their customers, suppliers, and competitors.
In the age of machine learning, what should managers know — and what must non-tech companies do to stay ahead?