神刀安全网

Making big data analysis accessible throughout your company

Thanks to the likes of Google Analytics,Mixpanel, and others, it’s easy to measure app engagement. The problem is these services only report on a predefined set of metrics and user segments. Also, it’s hard to analyze other customer interactions, such as sales calls or support interactions, alongside app usage data. When you need more custom analysis or to combine product usage with other data sources, you’ll need to query the raw data. I’m talking user IDs and timestamps.

There are a number of great modern ETL tools that centralize app engagement and other customer interaction data into a data warehouse like Redshift or BigQuery. Having all of your analytics data in Redshift and queryable by SQL is very powerful: it allows you to answer nearly any question you have of your data.

But there’s a Big Problem™: only some people know how to write SQL. Engineers and savvy analysts will be comfortable writing SQL, but less technical members of your team also need access to the data. What’s the best way to make everyone at your company data driven, regardless of their SQL knowledge?

We’ve found three ways to to help everyone at your company benefit fromSQL.

Make it easy and fun to share SQL

Sharing queries can be an important, rewarding part of your team’s culture.

At Wagon, we encourage this in two ways. We have a dedicated Slack channel for posting ad-hoc queries, data, and charts. Slack is a great place show off your hard work! We also keep a repository of "source of truth" queries that are code reviewed, commented, and frequently updated. Having a place for ad-hoc sharing and more standard reports solved a lot of confusion.

Making big data analysis accessible throughout your company

Reuse and modify your teammates’ work

Many questions can be answered with the same underlying SQL. Make it easier to browse other people’s queries by having them in one place and with reasonable comments. We see lot of people tweaking a query by changing a where clause to use a different customer ID or log line. If you’re using data from another analytics services, many provide starter queries. Here’s a few: Amplitude, Google Analytics, Segment, and Snowplow.

Learn some SQL

SQL isn’t that hard to learn. We joke that you can double your salary by learning how JOIN works. We recommend Udemy’s online SQL course or if you prefer in person, check out General Assembly’s SQL bootcamp , or come to a Wagon hosted course .

Andy is an Engineer at Wagon . Wagon is a modern SQL editor built for analysts, engineers, and their teams: write SQL, analyze data, and share charts. Download Wagon for free to get querying, or say hello at hello@wagonhq.com

Questions? Requests? Leave us a comment below.

转载本站任何文章请注明:转载至神刀安全网,谢谢神刀安全网 » Making big data analysis accessible throughout your company

分享到:更多 ()

评论 抢沙发

  • 昵称 (必填)
  • 邮箱 (必填)
  • 网址