How mature is your advanced analytics program?

Advanced analytics is being deployed in a range of use cases across business units and industries, especially as data types and volume increase. One of the top use cases for advanced analytics we see at TDWI is predictive analytics to understand customer or operational behavior. Statistical as well as machine learning models are used to… Continue reading How mature is your advanced analytics program?


5 Best Practices for Building a program to become data-driven

There are organizational and technology components critical for a business to succeed in becoming data-driven. On the organizational side, a key component to succeeding with data and analytics is to create a culture that supports these efforts. Companies that succeed are typically goal-driven, transparent, empowering, and collaborative. They have strong leadership that believes in data… Continue reading 5 Best Practices for Building a program to become data-driven

The Predictive Analytics Conundrum

  TDWI research indicates that if users stuck to their plans around predictive analytics, adoption would be at 75–80% versus the 35–40% we currently see.   Predictive analytics is on the cusp of widespread adoption. Many organizations are excited to make use of the power of predictive analytics (including machine learning) because they understand the… Continue reading The Predictive Analytics Conundrum

3 Best Practices for Becoming More Self-Sufficient with Self-Service Analytics

My colleague Dave Stodder and I recently lead a Webinar in conjunction with our best practices report about becoming a data-driven organization.  Audience questions included several about self-service. In particular, attendees were interested in how to make self-service more accessible to managers and leaders in their organization. Let me set the stage for self-service analytics… Continue reading 3 Best Practices for Becoming More Self-Sufficient with Self-Service Analytics

Advanced Analytics: What’s Ahead for 2018

2018 will be the year of the three As:  AI, Automation, and Advancing analytics skills In 2017, advanced analytics maintained its momentum in the enterprise. Open source technologies such R and Python gained ground.  Other technologies such as machine learning continued to pique interest.  Use of the cloud become more mainstream. TDWI expects these technologies… Continue reading Advanced Analytics: What’s Ahead for 2018

Three Organizational Best Practices for Becoming Data-Driven

Dave Stodder and I just finished writing our 4Q Best Practices Report on “What it Takes to Be Data-Driven: Technologies and Practices for Becoming a Smarter Organization.”  What struck me in analyzing the data for the report is that although organizations have embraced BI and analytics, they still have a journey in front of them… Continue reading Three Organizational Best Practices for Becoming Data-Driven

Achieving Analytics Maturity: 3 Tips from the experts

What does it take to achieve analytics maturity?  Earlier this week, Dave Stodder and I hosted a webcast with a panel of vendor experts from Cloudera, Microstrategy, and Tableau.  These three companies are all sponsors of the Analytics Maturity Model; an analytics assessment tool that measures where your organization stands relative to its peers in… Continue reading Achieving Analytics Maturity: 3 Tips from the experts

Next-Generation Analytics: Four Findings from TDWI’s Latest Best Practices Report

I recently completed TDWI’s latest Best Practices Report: Next Generation Analytics and Platforms for Business Success. Although the phrase "next-generation analytics and platforms" can evoke images of machine learning, big data, Hadoop, and the Internet of things (IoT), most organizations are somewhere in between the technology vision and today’s reality of BI and dashboards. For… Continue reading Next-Generation Analytics: Four Findings from TDWI’s Latest Best Practices Report

Six skills for predictive analytics

Today, I participated in a webinar with Actuate on the skills needed for business analysts to perform predictive modeling.  This is a hot topic and there were hundreds of participants on the call.  In my part of the presentation, I outlined some major trends in predictive analytics (including the fact that the tools are much easier… Continue reading Six skills for predictive analytics

Four ways to illustrate the value of predictive analytics

My new (and first!) TDWI Best Practices Report was published a few weeks ago. It is called Predictive Analytics for Business Advantage. In it, I use the results from an online survey together with some qualitative interviews to discuss the state of predictive analytics, where it is going, and some best practices to get there. You… Continue reading Four ways to illustrate the value of predictive analytics