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

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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

You guessed it – women still earn less in IT than men

Since joining TDWI about six years ago, I have been following and reporting on our salary survey. The report quantifies and interprets the compensation, roles, responsibilities, skills, and experience of individual BI and IT professionals. It also provides detailed profiles of the 10 most common BI and data warehousing roles, examining age, gender, education, salary … Continue reading You guessed it – women still earn less in IT than men

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

Does Gender Matter in BI Salaries?

As a female and a feminist who has worked in male-dominated fields for most of my career, what immediately caught my eye when reading the most recent TDWI Salary Survey report was the on-going pay disparity between women and men in BI. According to TDWI research, men continue to out-earn women in the BI field, … Continue reading Does Gender Matter in BI Salaries?

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