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
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
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
For more years than I like to admit, I have been focused on the importance of managing data so that it helps companies anticipate changes and therefore be prepared to take proactive action. Therefore, as I watched the market for predictive analytics really emerge I thought it was important to provide customers with a holistic … Continue reading The Inaugural Hurwitz & Associates Predictive Analytics Victory Index is complete!
In 2011 analytics will take center stage as a key trend because companies are at a tipping point with the volume of data they have and their urgent need to do something about it. So, with 2010 now past and 2011 to look forward to, I wanted to take the opportunity to submit my predictions … Continue reading Five Analytics Predictions for 2011
There has been a lot of discussion recently around advanced analytics. I'd like to throw my definition into the rink. I spent many years at Bell Laboratories in the late 1980s and 1990s deploying what I would call advanced analytics. This included utilizing statistical and mathematical models to understand customer behavior, predict retention, or analyze … Continue reading What is advanced analytics?
Advanced Analytics was a big topic at the IBM IOD conference last week. As part of this, predictive analytics was again an important piece of the story along with other advanced analytics capabilities IBM has developed or is in the process of developing to support optimization. These include Big Insights (for big data), analyzing data … Continue reading Advanced Analytics and the skills needed to make it happen: Takeaways from IBM IOD
The term “Big Data” has gained popularity over the past 12-24 months as a) amounts of data available to companies continually increase and b) technologies have emerged to more effectively manage this data. Of course, large volumes of data have been around for a long time. For example, I worked in the telecommunications industry for … Continue reading Analyzing Big Data
The other day I was looking at the analytics discussion board that I moderate on the Information Management site. I had posted a topic entitled “the value of advanced analytics.” I noticed that the number of views on this topic was at least 3 times as many as on other topics that had been posted … Continue reading Five requirements for Advanced Analytics
I was speaking to a client the other day. This company was very excited about tracking its brand using one of the many listening posts out on the market. As I sat listening to him, I couldn’t help but think that a) it was nice that his company could get its feet wet in social … Continue reading What about Analytics in Social Media monitoring?