Data-Driven Decision Dominance
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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
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
A brief explanation of data sources and answers to some common questions our clients typically have about them. No matter what industry you’re in, the chances are that you’re probably generating data (from multiple different
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
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 semi-brief discussion on some of the ways retailers can monetize their data. Like every industry out there, retailers strive to achieve profitability. However, in retail, the competition is fiercer than ever (especially when it
How hospitals can leverage their data to provide better care and improve their bottom lines. Although there are countless (ever-growing) ways to employ hospital data to increase operational efficiency and improve patient care, looking at
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
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