predictive analytics

Enterprise BI is not dead, It's alive and thriving. But there are changes ahead. Learn about five of them here.

Enterprises need more artificial intelligence and machine-learning (ML) solutions to drive value, transform their businesses, and outperform the competition. But firms find it challenging to navigate the lifecycle of developing, deploying, and maintaining their ML models and AI solutions. A key problem? They don’t have the right PAML (predictive analytics and machine learning) solutions that […]

We’ve learned a lot in the past 60 days and will continue to learn more as COVID-19’s impact on organizations and their workforces unfolds over the coming weeks and months. One of the things we do know is that organizations are rethinking short- and-long term workforce strategies. Depending on the industry you’re in, a weighted […]

Healthcare organizations (HCOs) should look to healthcare customer relationship management systems (CRMs) to enable their “digital front door” strategy and meet the growing demands of their customers for a great experience — both digitally and beyond. The recently published report, “The Forrester Wave™: Healthcare CRM Providers, Q1 2020,” identified the seven most significant players in […]

As companies navigate through murky waters amid global health and economic headwinds, as a data and analytics leader, it may feel like there are many things that are out of your hands today. As you weather these conditions, it is still important to chart a steady course and be laser-focused on the parts you can […]

The coming year will bring changes in approaches to deriving customer insights. Only some firms will succeed.

In 2020, companies will become laser-focused on AI value and accelerate adoption. Get Forrester's top three predictions for AI in 2020.

Learn the topics that data professionals want to hear about most at the upcoming Data Strategy & Insights Forum.

Forrester has just published 2019 refreshes of our enterprise business intelligence (BI) platform Wave™ evaluations. As the BI market and the technology continue to evolve, so does our research. This year, we emphasized: New market segmentation by both vendor-managed and client-managed platforms, which roughly equate to on-premises and cloud-based platforms, respectively, but not quite. Since […]

Automated machine learning (autoML) can unleash the power of ML throughout your enterprise. But only when you have the right use cases and the right vendors.

(Jeremy Vale coauthored this post.) Brace yourself: Computer vision is coming. “The Long Night” is finally over, and enterprises see the opportunity more clearly than ever. With AI replacing biological rods and cones, computer vision is now a must-have weapon in every firm’s arsenal. Computer vision solutions are spreading like wildfire. While use cases such […]

Maybe I’ve been in the software world for too long. Or maybe I’m a product of my earlier years. You might remember the old Russian proverb, “Doveryai, no proveryai,” which President Reagan made famous in the context of nuclear disarmament. Translated: “Trust, but verify.” Either way, I’m curious about a lot of things, question everything, […]

(Jeremy Vale and Paolo Santamaria contributed to this post.) This month’s Insights Beat focuses on the latest research in our insights-driven playbook; showcases multiple data, analytics, and machine-learning vendor evaluations; and shines a light on B2B analytics techniques. Is Your Data Strategy Lacking? Time To Sound The Alarm In order to compete in the age of […]

Alibaba has become one of the world’s most fascinating and cutting-edge technology businesses — and is key to understanding where the digital era is heading.

Telefónica hosted its Industry Analyst & Customer Days in Madrid recently. In our view, Telefónica is emerging as a leading global telco. Of course, digital natives like Alibaba, AWS, Google, and Tencent continue to capture the customer attention. Yet, the example of Telefónica indicates that traditional firms can effectively tackle digital transformation. Against these considerations, our […]

Nearly all firms want to do more with data science. However, executives and data scientists alike are frustrated by the difficulty of turning new initiatives into business impact at scale. Outside of well-established use cases — such as risk scoring or optimizing search results — data scientists regularly complain that their solutions can take months or even […]

In most enterprises, data access is a fait accompli: 72% of global data and analytics decision makers say that they can access the data they need to obtain insights in a timely manner.  However, even the most modern BI tools that make data more accessible still require significant subject matter expertise to find the right […]