I suspect you have all read our big reports: the Magic Quadrant, the Critical Capabilities (aka product reviews), the Hype Cycle, Cool Vendors, and so many Market Guides. Those are the best known notes. But our team published over 200 reports and toolkits last year. Here are some of my favorite other notes that you might have missed, and why I like them. These notes are a little less widely read, but the most highly rated. (Did you know you can rate our notes?! We agonize over— I mean review—the ratings to see if our notes are useful to you. Do Jodi Picoult or Steven King do the same?)
- Algorithms Are Biased — Here’s How to Overcome This Inherent Data Problem : the surprise election results of 2016 showed how much selection biases can impact polls. With the rise of AI, we need to do more to weed out biases earlier in the analytics process.
- Doing Machine Learning Without Hiring Data Scientists: Data scientists are in short supply but there’s no reason for you to be left behind.
- How to Move Analytics to Real Time: I like Roy’s writing and IoT certainly gives rise to demand for real time.
- How to Overcome Business Bypassing IT for Analytical Solutions: I think business-IT partnership has improved in recent years, but this note keeps us on the right path.
- Hybrid DBMS Cloud Defined, and Why You Want to Know!: Cloud BI is accelerating, but that does not mean all your data has to live in the cloud.
- ITScore for BI and Analytics: If you want to benchmark your BI and analytics maturity, this is the note for you. The model was recently updated to consider new factors. It was an added bonus when I joined Gartner to learn that the maturity model in my book and the ITScore were so closely aligned.
- Must-Have Roles for Data and Analytics, 2017: People are a big factor for BI and analytics success, yet sometimes we focus too much on the technology. Skills required are very different than 20 years ago.
- Rising Analytics Costs Warrant a Robust Monitoring and Management Process: A must read for any BI buyer.
- Three Architecture Styles for a Useful Data Lake: Agility is a must and the data lake enables that.
- Three Steps to Yield the Most Value From Your Customer Data Using Analytics: Our team reorganized – and grew again – last year to add more coverage of domain analytics. Customer analytics is one of the hottest areas.
And if you sometimes feel like you are drowning in Gartner data with notes galore, I feel your pain! As an analyst, I get to review many of these notes before they publish. Even so, there are times I feel I can’t keep up and have missed some great reads. The two tricks I use to keep up on our own research:
- Create an alert for yourself. You can create an alert to receive an email about any vendor or topic you are tracking. So I follow anything with the key word “analytics,” for example, which helps me see even when my marketing and healthcare colleagues are writing about analytics. You also can create an alert by analyst name to get notified for those notes I author or co-author.
- View notes by initiative: Each analyst writes to a particular agenda. For example, the folks on the business analytics and data science team often write to an initiative on Modernizing BI and Analytics. Our friends on the information management team, write to about modernizing the data warehouse and information management platform, and others in leadership and strategy write about data and analytic programs. This is a great way to see all the recent notes by initiative.
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