Google Analytics Intelligence has an alluring promise—that you can skip the manual digging and get quick answers. But will you actually get the data you want? I spent hours exploring the feature to see whether it could: Handle synonyms; Manage complex queries; Recognize common marketing terms; And so on. As with many machine-learning tools, the results were uneven. Even small variations in vocabulary or syntax could make a query unintelligible. But if you know how to query the system, Analytics Intelligence offers a shorter path to basic answers. And, with a clever workaround, you can go straight to complex subsets of data in a single search. This post shows you the limits of the feature and how to get the most from its current capabilities.
We recently announced a new product — OWOX BI Insights — that’s able to predict the implementation of a marketing plan based on your data, overall market data, and machine learning. In this article, we tell you why to build forecasts and how to find growth zones and risks in order to be one step ahead of your competitors.
Nearly every business leader (99% according to an HBR study) recognizes the need to build a data driven organization. However, so many struggle to use data for a variety of reasons, a big one of them being that data exists in all sorts of places. This is especially the case with startups, who use a number of out of the box tools that don’t connect to each other, and that only offer so much granularity and flexibility. The solution? A data warehouse.
Data science is the field of applying advanced mathematical and statistical techniques to large sets of data to uncover insights that can improve the performance of different parts of a business. Data science is used in growth to uncover commonalities between types of users that are either successful or unsuccessful with a product. Marketers and growth teams use data science findings to improve the performance of their product, user acquisition funnel, user retention and more. These are the best articles on how to use data science to grow your business. From how to analyze data using R, pandas for Python, regression, model building, SQL and more, you'll learn how to apply data science concepts to growth.
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