Simple rules for anyone who gets asked: How well did it work?

Whether your job involves analytics or not, everyone gets asked to measure performance.

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How well did it work?

This is the question that every leader wants to know — and the one that causes us the most anxiety. Fortunately, there are some simple rules that can help you out:

  1. Measurement isn’t analysis. Your goal is to answer one question: Did it work? Analysis happens later.

Data doesn’t tell you if anyone will buy your product.

Amazon and Google are the inequitable kings of data.

They know more about us than anyone and use that knowledge to sell us products and pummel us with ads. Many think of Amazon as the retail giant, but they’re quickly becoming as big of an ad machine as Google, pulling in ad revenue of around $10 Billion in 2020 with expectations to quadruple that by 2023.

The recent Netflix Documentary, The Social Dilemma, revealed the lengths to which tech companies go to get us to click. The quote is overused but bears repeating, “The best minds of my generation are…

Do the 20% of work that gives 80% of the results.

I don’t have any real skills.

I don’t know how to start a business, build a product, build software, construct or fix things with my hands, or do anything that contributes real value to the fabric of the economy.

I’m only good at one thing: I know how to get things done at work. You’ve got a problem? I can figure out how to solve it.

If I don’t know how to do something, I’ll teach myself the minimum set of skills necessary to deliver the 20% of work that delivers 80% of the results. …

4 steps that anyone, from any background can follow.

The number one question I get asked by people in my network is how to get a job in Data Science or Analytics without a formal technical background.

Like it or not, when it comes to applications and interviews, STEM education weighs heavily in your favor when trying to get a job in the Data Science industry. Both recruiters and hiring managers are biased to individuals that have technical college degrees — and why wouldn't they be? We’ve all been trained to believe that there is one path to get the job we want — go to college, study that…

Digital Marketing is the most data-rich field in all of Business, and also has the most pitfalls.

Perhaps more than any other field, marketing, especially digital marketing, revolves almost entirely around data. This makes it a rich and rewarding business to support as an analyst or a data scientist, as the volume and utility of data can be incredibly high, increasing the need and the scope of potential projects for the analytics professional.

Marketing data has some important pitfalls, however, that can de-rail Marketing analytics programs:

  • Marketing data is siloed across numerous sources from ad platform, social, and click-stream data to CRM and CDP data.

The great work-from-home experiment has accelerated work-place culture by several years.

The COVID-19 Pandemic has made unprecedented changes to the way we work. Companies and teams who would never have even considered letting their employees work at home were forced into submission by a virus they had no control over. Managers had to figure out how to manage their teams digitally, and employees had to figure out how to work from their kitchens.

While there were growing pains with this change, most teams have figured out that working from home isn’t that big of a deal. Suddenly, everyone figured out that there are all these great tools for communicating online —…

Delivering Powerful Analytics Goes Way Beyond Dashboards and Presentations

Wikipedia defines analytics as “the discovery, interpretation, and communication of meaningful patterns in data.” This phrase does a good job of capturing the essence of what analytics pros and data scientists do on a daily basis. Of the three components that define analytics, communication is perhaps the most important. Most of the time, the analyst or data scientist that derives the insights isn’t actually making any decisions but instead delivering the insights to the decision-maker. Subsequently, poor communication will largely inhibit the effectiveness of the meaningful patterns discovered and interpreted by the analyst.

This challenge has spawned dozens of business…

No other job has such a profound impact on peoples lives

Management isn’t about the business, it’s about people. The people who work for the manager are the ones who build, market, and sell the product, the manager, manages those people.

So many managers get this mixed up — and it’s not really their fault.

We’re taught from a young age to follow the ‘straight path,’ get ahead, do better than others and ‘climb the ladder’ — the problem with all those adages is that they are completely selfish. Management, especially good management, is inherently a selfless task.

For companies, bad managers, are poison. They create toxic work environments that leave…

Most dashboards are useless, let’s fix that.

1) Dashboards should be simple.

I’ve been asked to create dashboards for several companies over my career. To my surprise, a marketing team at one of the biggest technology corporations in the world asked my team to develop dashboards for them. I assumed that big tech companies had all these things figured out. This company, in particular, had an entire department dedicated to marketing analytics and measurement and had hundreds of dashboards at their disposal.

The problem was, nobody used any of them.

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When I finally got a look at the dashboards that the team had in place, It wasn’t hard to figure out why…

Finding fulfillment and success through micro-motives.

I don’t like the word passion.

The word engenders a fiery, unyielding love for something — usually a career, or personal pursuit in one's life, but it’s a feeling that I believe few of us rarely achieve. Linkedin and Instagram posts would have you believe that passion is free to come by if you just find it as if finding it is a matter of going to the grocery store and selecting it from a shelf. …

Cameron Warren

I write about the intersection of Data, Marketing, Business, and ideas. Marketing Data Science and Engineering @FranklinSports

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