Business Analytics
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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
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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
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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
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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
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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
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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
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The TDWI Big Data Maturity Model and Assessment is set to launch November 20th. Krish Krishnan and I have been working on this for a while, and we’re very excited about it. There are two parts to the Big Data Maturity Model and Assessment tool. The first is the actual TDWI Big Data Maturity Model
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I am in the process of gathering survey data for the TDWI Predictive Analytics Best Practices Report. Right now, I’m in the data analysis phase. It turns out (not surprisingly) that one of the biggest barriers to adoption of predictive analytics is understanding how the technology works. Education is definitely needed as more advanced forms
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Predictive analytics, a technology that has been around for decades has gotten a lot of attention over the past few years, and for good reason. Companies understand that looking in the rear-view mirror is not enough to remain competitive in the current economy. Today, adoption of predictive analytics is increasing for a number of reasons
Fern Halper's data makes the world go 'round 