Posts tagged analytics culture
Three Steps for Creating the Analytics Dream Team

Building your team is hard work. Finding the right skills, the right personalities, the right types of motivation to build a team that works well together like a well-oiled machine… feels almost impossible at times. So what do you do? We at International Institute for Analytics (IIA) have been answering that question for our clients for as long as we can remember. In this blog, we are going to share three key strategies we have learned working with analytics teams of all sizes and maturity.

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A Common Trap That Undermines Analytics Credibility

Over the years, I’ve seen analytics professionals of all stripes blow their credibility and lessen their impact by falling into a common trap. I have to admit that I fell victim to the same trap early in my career. While our intentions are pure, our analytical minds and approaches can get the best of us and we explain too much. We’ll be better off if we learn to provide less detail and stop talking sooner than we are naturally inclined to.

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5 Things New Analytics Leaders Should do to Succeed

Any new leader in any field will have to face several challenges in the first few months on the job if he or she is to succeed. IIA co-founder Tom Davenport and I discussed some of the challenges analytics leaders face and what they can do to ensure success. While the action steps apply broadly, we focused on how they apply specifically within the realm of analytics.

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How To Help Humans Work Better With Smart Machines

It’s pretty clear that smart machines—computers and robots that can digest information, make recommendations and decisions, and take informed actions—are going to be a significant factor in the workplace of the future. In some areas, like insurance underwriting, credit decisions, and financial trading, they’re already in wide use. In other areas such as medical diagnosis and treatment, document analysis in commercial litigation, and digital marketing, they’re taking hold rapidly.

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What Does It Mean To Be A Chief Analytics Officer?

I named this post, “What Does It Mean to Be a Chief Analytics Officer,” because the CAO role has a certain titular appeal. However, it’s sometimes the case that those who lead analytics functions for their organizations don’t have that exact title. And whether you’re a CAO, a “Director of Global Analytics,” a “Head of Science,” or a “Chief Data Scientist,” the job has some similar elements across organizations. This column is about the elements, not the specific title.

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If I Text You Tonight, Will Your Analytics Text Me Back in the Morning?

Whether social media, email, online chat, or transcribed phone calls, text is being used more and more frequently today. While the previously mentioned analytics absolutely provide value and are worth pursuing, there are additional opportunities that should not be missed. By throwing this information away after the initial analysis is completed, you may be missing opportunities to impact the business in very creative ways.

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The Analytics Of Things

The press and blogosphere are full of references to “The Internet of Things” (TIoT) or even “The Internet of Everything.” It’s great to connect inanimate objects to the Internet, of course. But that’s only a first step in terms of doing something useful with all those connected devices. “The Analytics of Things” are just as important, if not more so.

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Google And The Transformation Of Marketing

I spoke last fall at the Google Analytics Summit in Mountain View, and couldn’t help being impressed with the pace of change at both Google and the marketing profession in general. As an aside, it struck me that Google today is much like AT&T in its prime: a near-monopoly in search and search advertising, strong product development, and a lot of really smart people. Both companies are quite analytical; almost every decision at Google is data-based, and AT&T pretty much invented database marketing.

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A Brief History of Big Data Analytics

I had the opportunity back in June to attend IIA’s CAO Summit in Chicago, where I sat on a panel discussing the topic “Creating an Analytics Culture.” The session was kicked off by Tom Davenport, the recognized ‘guru’ of analytics who has written several books and many articles on the subject. Tom founded the International Institute of Analytics, and I work with him and his team as a lead faculty specializing in Manufacturing for IIA.

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Taming Big Data Is Not A Technical Issue

One thing that has struck me recently is that most of the focus when discussing big data is upon the technologies involved. The consensus seems to be that the biggest challenge with big data is a technological one, yet I don’t believe this to be the case. Sure, there are challenges today for organizations using big data, but, I would like to submit to you that technology is not the biggest problem. In fact, technology may be one of the easiest problems to solve when it comes time to tame big data.

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Keep Your Data Scientist... Send Me A Data Artist!

There is a lot of hype about the new position of “Data Scientist” (see January’s Fortune magazine). I am always happy for analytics professionals to get recognition and excitement about what we do and I’m not really hung up on what title is used. However, if you take the time to think about it, the roles and responsibilities of a data scientist are virtually identical to what analytics people have been doing for years - a fact that seems to get lost at times.

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Big Data Is Coming, Big Data Is Coming: What Does It Mean To Analytic Professionals?

For my first blog posting, I decided to focus on one of the hottest topics in analytics right now: “Big Data”. Big Data is typically defined as very large, newer sources of data that don’t necessarily have a convenient or consistent structure. Think web logs, sensor data, RFID data, and other similar data streams. With such a wide range of new data streams coming online in rapid succession, Big Data has rapidly risen in importance and visibility.

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Thinking Out Loud By Tom Vol. 2

In the last several months I’ve been subjecting much of the world to my spoken thoughts on analytics. I’ve been to Europe (twice), Brazil (twice), Mexico, Argentina, Hong Kong, Chile, Canada, and various places in the US. One thing that has struck me as I travel around and talk to different companies is the incredible geographic variation in analytical approaches within the same company. You find some impressive analytical work going on at corporate headquarters, and then you discover that it’s not present outside the home country—or sometimes it’s vice-versa.

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