Modern businesses create heaps of data. They also run countless models on a consistent basis to find results. These results help to prove a concept or point they are trying to make. With these results, stakeholders can make crucial data-backed business decisions. But this can all mean nothing if you don't understand whether or not the models you're running and resulting data are even valid.
Not all data warehouses are created equal, and some are better suited for different use cases and customers. If you’re wondering “Which cloud data warehouse is best for me?”, this article is for you. We’ll discuss 5 of the top data warehouse tools so that you can make the right choice for your business.
It might sound a little dry, but even math-challenged people can master predictive analytics. Here is what you need to know.
Every company needs to track its sales, marketing efforts, and customer behavior. Setting that up is the easy part, but what do you do with the company sales data that comes back? You can use the information provided by your company data to increase sales, but only if you know how to interpret and use it.
Digital technologies have reshaped the business landscape of countless industries, dramatically boosting productivity and efficiency. Yet far too many companies […]
Funnel analysis is the process of telling you who bailed and when -- but most importantly, why.
Introduction Capturing web analytics data about how users interact with your website may be one of the most crucial tasks […]
Companies that wrangle and organize the influx of marketing data for automated decision making have a competitive advantage. Marketing data science to include machine learning and AI have greatly enhanced our ability to do this.
Putting together an effective marketing strategy is crucial to the success of almost any organization. Connected marketing is a great […]
It's time that you begin applying this turnkey strategy to identify and analyze your target market.