the Data Driven Daily

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Data Insights

Knowing what to look for is often the difference between success and failure when it comes to data exploration. Here are some common types of insights and how to find them.

Data Exploration

Exploring your data can be time consuming and ultimately unsuccessful. Here are some best practices to ensure your data explorations produce real results.

Data Storytelling

Some of the worst business decisions in history were data driven! How you communicate what the data tells you is important too.

Recommendation Systems

If you have purchased anything online in the past 15 years, you have been exposed to a recommendation system.

Growth Rate

How fast is your business growing? It can be harder to answer than it might seem.


A sad fact of business is that you cannot retain a customer forever.

Ad Campaign Optimization

Get the most of your advertising spend by optimizing your campaign performance.


Clustering helps find hidden patterns in your data by grouping similar things for you, such as customer personas.

Customer Personas

Customer personas help you understand your customers by identifying common traits and behaviors.

Scenario Planning

Scenario Planning is a useful tool when you need to make decisions in an uncertain and changing environment where the future is hard to predict.

Impact Analysis

Impact Analysis is a way to estimate the impact your decisions will have on the business and hence evaluate your options.

Data Driven Planning

Data Driven Planning is a method of using data to build better long term business plans.

Dirty Data

Not all data is clean and easy to use, often your data is dirty and you need to figure out how to clean it.


Many aspects of your business will change with the seasons, and the better you can understand those changes the better you will be able to predict the future.


Measuring and evaluating your productivity can greatly improve your overall business performance.


Many aspects of your business will change with the seasons, and the better you can understand those changes the better you will be able to predict the future.

Survey Design

If you want to know what your customers are thinking, you need to ask them!

A/B Testing

Even when you have a wealth of data it can be challenging to make a difficult decision when you have a number of different options to choose between.

Setting Goals

Being data driven is much more than just understanding how you’ve performed in the past, it is about improving in the future!

Money Metrics

Are there more financial metrics you should be using to make decisions? The answer is absolutely!

Advanced KPIs

More complex metrics that are specific to your business can be dangerous because they are specialized and complex. Lets discuss their pros and cons

Margin Metrics

You are in business to make money! So am I, actually, so we have something in common. But what does it mean to “make money”?

Data Analytics Tools

There are a number of data analytics tools available to compute simple statistics and visualize your data.

Data Visualization

Data visualization is complementary to data analysis – it allows you to condense large data sets into a single picture (or set of pictures).

Simple Statistics

A few of the most common descriptive statistics used to understand data and predictive modeling using a linear regression

Predicting the Future

Predicting the future is hard. I am fairly certain of this because I’ve never won the Powerball and neither have you.

Customer Segmentation

Segmentation, in its simplest form, breaks through the illusion that all of your customers are equal.

Happy Customers

What makes a happy customer? What is the deciding factor between happy customers and lost customers?