Marketing analytics is the process of gathering, managing, and modifying marketing data to uncover useful insights for making the best marketing decisions possible. Common Uses of Marketing Analytics: Track Marketing Campaign Performance The impact of
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Stick around, take a look and read a while. Our team is cranking out some content we think you’ll appreciate. Get updates on things we’re working on, tip n’ tricks, industry insights, and other news to help you achieve data-driven goals.
Some of the insights and predictions you can find in DataLakeHouse to take the guesswork out of business decision making. The sole purpose of collecting data is to derive useful insights and predictions from it
Some of the ways data is utilized in transportation and logistics to improve operational efficiency and increase profitability. There is a vast amount of data collected within transportation and logistics, all of which can be
If you’re struggling with data silos, you need to read this 👇 When it comes to data, most organizations are practically swimming in it. Okay, maybe more like drowning in it! The amount of information
The differences between ELT and ETL and how to decide which one you need. ELT and ETL are acronyms for the extract, load, transform/extract, transform, load processes used to move data into a desired target.
An overview of some of the many ways restaurants, bars, and breweries can ensure they’re maximizing the potential of their data. Just as in every other kind of business, restaurants, bars, and breweries all mainly
A basic overview of how you can leverage your data to improve your bottom line. Put Your Data to Work! Ultimately, you can make your data work for you through accurate and appropriate analyses. But
For the DataLakeHouse team we actually had a drawn out conversation about style for all development principles. At least the basics for now. This involved “Do we use hyphens or underscores for development?”, “When do
We’ve contemplated long and hard about the challenges that face the modern business with regard to data as an asset or “data as the new oil”. We’ve spent even longer toiling over and bringing solutions