It seems like data lakes are all the rage these days. Why is that? And more importantly, if you work with marketing data, why should you care? And if you do care, but don’t know how to query data in your cloud storage bucket from BigQuery, how would you go about doing that? In this ...
9-MINUTE READ | By Evan Kaeding
If you’ve ever dealt with marketing data, you’d probably agree that siloed data is the number one enemy of effective reporting and analytics. And while cloud-based data warehouses like BigQuery and Snowflake are great solutions for integrating, storing, and analyzing large volumes of cross-channel data, many analytically mature companies have recently started adding a new ...
6-MINUTE READ | By Evan Kaeding and Pinja Virtanen
You know how your marketing data lives across dozens of different platforms, including — but definitely not limited to — Google Analytics, Facebook Ads, LinkedIn, Google Analytics, and/or Salesforce? A cloud-based marketing data warehouse (like Google BigQuery, Snowflake, or Azure Synapse Analytics) allows you to centralize all that data into a single destination that’s built ...
24-MINUTE READ | By Riku Mikkonen
Ecommerce merchants and marketers have one major advantage over brick and mortar retailers: data. When your shoppers come from the internet, you can measure almost every aspect of your interactions with them. However, that advantage doesn’t count for much without a system for making sense of your data. Many companies think they already have a ...
8-MINUTE READ | By Kaleigh Moore
If you’re looking to move your cross-channel marketing and sales data into a data warehouse (like Google BigQuery, Snowflake, or Azure Synapse Analytics), a cloud storage solution or data lake (like Google Cloud Storage Bucket, Amazon S3, or Azure Storage Container), or a business intelligence tool (like Tableau, Power BI, Looker, or Qlik), you basically ...
9-MINUTE READ | By Evan Kaeding and Pinja Virtanen
Like most fast-growing SaaS companies, we use a ton of data to track and spur our growth at Supermetrics. A big part of the credit here goes to our 3-person growth team, who is in charge of tracking and analyzing our marketing and sales performance as well as sharing their insights with the rest of ...
6-MINUTE READ | By Riku Mikkonen
Are you thinking about unifying your marketing data to maximize its impact on your business performance? If your answer is ‘yes’, there are two important concepts you need to master: Easy access to the right information and the ability to generate (and act on) insights are at the core of business performance. In the context ...
8-MINUTE READ | By Moulaye Traore
While you’ve always been able to use common data extraction schemas in Supermetrics for BigQuery, you might occasionally also want to pull metrics that aren’t covered by a standard schema. To tackle this need, we’ve launched a new feature: the schema builder. The schema builder offers an easy way for you to create custom data ...
4-MINUTE READ | By Riku Mikkonen
Ever since the first digital spreadsheets were introduced in the 1960s, businesses have used them wherever they could. Quick access and simplicity have made spreadsheet software like Microsoft Excel and Google Sheets an important tool for marketers. Spreadsheets have been used for ages, but have in recent years proven to be ineffective in some cases. ...
5-MINUTE READ | By Riku Mikkonen
In the marketing context, the words ‘database’ and ‘data warehouse’ are often used interchangeably. However, as you’ll soon learn, the two concepts have a few fundamental differences. But before we jump in, let’s quickly define both terms. What is a marketing data warehouse? A marketing data warehouse is a cloud-based solution for storing and analyzing ...
6-MINUTE READ | By Pinja Virtanen
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