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The very best analysts distill, rather than dilute. The very best analysts focus, when most will tend to gather. The very best analysts are display critical thinking, rather than giving into what’s asked. The very best analysts are comfortable operating with ambiguity and incompleteness, while all others chase perfection in implementation / processing / reports.
A rare post today. It looks a little further out into the future than I normally tend to. It attempts to simplify a topic that has more than it’s share of coolness, confusion and complexity. While the phrase Artificial Intelligence has been around since the first human wondered if she could go further if she had access to entities with inorganic intelligence, it truly jumped the shark in 2016.
A story where data is the hero, followed by two mind-challenging business-shifting ideas. At a previous employer customer service on the phone was a huge part of the operation. Qualitative surveys were giving the company a read that customers were unhappy with the service being provided. As bad customer service is a massive long-term cost – and short-term pain –, it was decide ...
Ten years, and the 944,357 words, are proof that I love purposeful data, collecting it, pouring smart strategies into analyzing it, and using the insights identified to transform organizations. In the quest for that last important bit, I am insanely obsessive about 1. simplification and 2. pressing the right emotional buttons.
There is, almost literally, an unlimited number of things you could focus on to create a high impact data-influenced organization. And, as if unlimited is not enough, nearly every month your analytics vendors release new features, you discover new analytics solutions, and as your business is more successful (hurray!) there is a new mobile app to track or a new digital experien ...
Culture is a stronger determinant of success with data than anything else. Including data. [People + Process + Structure] > [Data + Technology] It seems hard to believe. Yet, it is so fantastically true. At least for now. At least until AGI takes over. Why is this formula material? The first part of the equation, for better or for worse, improves in an evolutionary manner.
Today's post comes from a source of deep pain. Analysis Ninjas are valued less than I would prefer for them to be. The post is also sourced from a recent edition of my newsletter, The Marketing – Analytics Intersect. I send it once a week, and it contains my insights and recommendations on those two topics.
Being book smart is good. The outcome of book smart is rarely better for analytics practitioners then folks trying to learn how to fly an airplane from how-to books. Hence, I have been obsessed with encouraging you to get actual data to learn from. This is all the way from Aug 2009: Web Analytics Career Advice: Play In The Real World! Or a subsequent post about how to build a ...
Analysts, honestly, make the world go round when it comes to any successful business – yes, data is that important. As you might expect from any role, they also make a handful of important mistakes. I've written about the biggest mistake web analysts make. Today's post is an adjacent mistake: The cardinal sin of spending too much time with data and in reports! Wait.
An off-topic post this week, to celebrate this incredible outpost you've helped create on the web, Occam's Razor. This month my beloved blog is ten years old. T. E. N! It feels more like five. But, I've already celebrated the blog being five years old! I have to admit life has been a tad bit busy lately, and it took a note from a reader to remind me of the birthday. Her note read: "….
You don't use an ad blocker, right? Of course not! You would never want to take away the opportunity a content creator has online to monetize their work via ads. I know that at least some of you think I'm being sarcastic. I am not, and this post is all about getting the data to show you that I am indeed not being sarcastic.
Here's something important I've observed in my experience in working with data, and changing organizations with ideas: Great Analysts are always skeptical. Deeply so. This was always true, of course. But, it has become mission critical over the last few years as the depth, breadth, quantity and every other dimension you could apply to data has simply exploded. There is too much data.
I want you to sign up for something very, very special I'm doing: Writing short stories from the intersection of marketing and analytics. My goal is to get you promoted, you are going to love it. So. Please do sign up. But, first, as you've come to expect from this blog… Context… Should you own or rent? The logic we are taught from when we were babies is that it is better to own than rent.
If you don't have goals, you are not doing digital analytics. You are doing i am wasting earth's precious oxygenalytics. Let's back up. Let me start with a story. We were brain storming about the next cluster of coolness for Analytics, the conversation quickly went to what Analysts need to look at on a daily, weekly and monthly basis.
For the last decade (#omg!), I've consistently complained about a fundamental flaw in Web Analytics tools: They incentivize one night stands, rather than engagements matching customer-intent. This leads to owners of digital experiences (insanely) expecting all visitors to their websites to convert right away – anything less than that is a failure. Damn the intent the customer is expressing.
Facebook, at last count, has 1.5 billion monthly active users. YouTube has 1.2 billion users (watching 6 billion hours of videos!). Instagram has an estimated 400 million users. Those are some big gigantic numbers! I believe that every human with time to spare, and a connection to the web, should be on social media. The benefits are numerous.
The difference between a Reporting Squirrel and Analysis Ninja? Insights. As in, the former is in the business of providing data, the latter in the business of understanding the performance implied by the data. That understanding leads to insights about why the performance occurred, which leads to so what we should do.
Standard reports stink. Custom reports rock! If you are a regular reader of this blog, you are quite familiar with this sentiment. I've expressed it often. :) The primary reason is simple: You are unique. Your business is unique. Why would a report created for everyone work for the special someone that you are? There are other great reasons as well.
There have been tons and tons of implementations around the world of my wonderfully profitable See-Think-Do-Care business framework. This is immensely gratifying. Over the last year, I've also worked with many companies to drive new and rapid innovation in their digital strategies using the framework. In the process, I've learned a whole lot more, evolved my thinking and refined the nuances.
In a recent set of keynotes and consulting engagements in the US, UK and Canada, I've had an overwhelming feeling that in very fundamental ways some companies make imprecise choices when it comes to their digital strategy. Not because they don't have enough money or opportunity or people. But, simply because their broader framing of what the problem was, and what their chosen s ...