![]() Pick where you will be storing your data. What marketing tools are you using daily? What kind of data are you looking at? What sources do you deem important? Compile a list of all the marketing data sources your team uses at the beginning of your data warehouse design.Įxamples of marketing data sources: Google Analytics, Facebook Ads, CRM data, A/B reports. Here are the five main steps to this process: Step 1. ![]() How To Design Marketing Data Warehouseīuilding a marketing data warehouse is an ongoing process as you’ll constantly be adding new sources and finding new ways of transforming your data into actionable forms. ![]() Put simply, a warehouse allows you to organize data from different sources in one place and then transform this data however your company likes. It doesn’t simply serve as a hub of information - with a thoughtfully executed warehouse marketers can find and establish new data connections, quickly build custom dashboards, and analyze data in multiple contexts,they can also have a solid bedrock to run more advanced projections and forecasting. In reality, the marketing data warehouse is much more than that. When marketers and stakeholders talk about a marketing data warehouse, they often imagine a single cockpit-like dashboard that contains graphs and numbers from several different sources: your ad expenses, traffic data, and so on. Our best efforts to bring it together end with countless chaotic and cryptic-like Excel sheets. But there’s one problem: all of this data is disjointed. We have data on customer website behavior, content engagement, advertising efficiency. There’s no lack of marketing data these days. The ultimate answer to this problem is a marketing data warehouse.īut what exactly marketing data warehouse is, why do you need it yesterday, and how to build one yourself? In other words, marketers struggle at putting their own data to work. The latest Gartner survey revealed that more than half of marketing leaders are disappointed with the output of their data analytics, while Forrester claims that only 48% of decisions are made based on quantitative data and analysis.Īnd marketers have plenty of data: real-time traffic analytics, advertisement reports, CRM logs, A/B test reports - you name it.īut this data is so scattered across hundreds of tools and platforms that 28% of marketers consider disjointed marketing tools to be their main problem, whereas 95% of businesses fail to make any sense of the information they gather. But for marketers, it’s rapidly becoming all the rage - for a good reason. Data warehousing is not a new concept by any definition.
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