Analytics

The pros and cons of outsourcing data analytics

Organizations are increasingly tapping service providers to glean insights from their data. Here are the benefits and risks of analytics outsourcing.

Martech spending in 2018: What CIOs need to know

From CRM and business intelligence to chatbots and automation, marketers have spending plans across the marketing tech stack.

Reality check: the complexities of mapping the world in 2018

Although itu2019s widely believed that high-quality data is readily available and accessible, that's not always the case. It is more common, however, in regions with three common attributes.

The future of manufacturing is digital

Forward-thinking manufacturers are moving beyond building great products, undertaking wide-ranging digital transformations to deliver new services and enhanced customer experiences.

Migrating data to the cloud: back to the future?

Migrating data to the cloud: back to the future?

With real insights on the readiness of your data to move to the cloud, and a cloud-native catalog ready to manage it, you can accelerate migration with both confidence and control.

AI-powered data analytics: Inside this transformative trend

Real-world AI data projects, based primarily on machine learning, are impressive and largely successful. Some CIOs see AI as the most significant trend in IT.

What can machine learning do for your business right now?

As a few companies race to monetize the kind of machine learning that focuses on teaching robots to behave more like humans, many companies are grappling with how to leverage artificial intelligence and smart machines.

How to overcome the bottlenecks between data lakes and analytics for customer engagement

Create the complete view of the customer, and engage in real time through the best channels.

Golden State Warriors shoot to augment fan experience with digital tech

The NBA's defending champions are using chatbots, augmented and virtual reality to bolster fan engagement. Now they're sifting through fan data to better target them with merchandise, tickets and other offers.

12 data science mistakes to avoid

Well-managed analytics initiatives can reap organizational gold. But succumb to one of these common mistakes, and your data science operations can quickly go wrong.