A data strategy framework doesn't have to be complicated. Willem Koenders explains the 5 components you need to think about when building your framework. #datastrategy bit.ly/3GgkeRY

🚨 Attention #BIteams and #datateams 🚨, we think you're going to love this! Our in-band support & collaboration tool was launched on Product Hunt today. We invite you to check it out and let us know what you think! bit.ly/3EBQUnB

We love this article about "purple people" in data! 💜 @mikldd talks about how teams overlap when working with data and shares practical tips for working with people outside the core #datateam. bit.ly/3Gj2s0b

Are you answering WHAT is happening or WHY it happened? João Sousa argues that analytics is primarily descriptive in most orgs (WHAT). But more teams need to get to diagnostic analytics (WHY). #diagnosticanalytics #descriptiveanalytics #analytics bit.ly/3Uw5zqd

#Dataproducts make data easier to find and use. @ericmbroda writes about 1) how data products are designed and 2) what capabilities, APIs, etc, are needed to make data products easy to build and deploy. Check it out - it's a good, informative read! bit.ly/3zT6dps

Do you know the 4 different types of analytics? Check out this article by Ishwarya K. to understand the what, why, when, where, and how of your business data. #dataanalytics #businessanalytics bit.ly/3FUVPkP

Do you know how much low-quality data costs your business? Check out this article by @kevinzenghu CEO @Metaplane. He takes you through a helpful framework to find out. #dataquality bit.ly/3DRbTTb

Did you know Gartner projected that only 20% of big data analytics projects would deliver value this year 🤯? @Wendy_Lynch believes the communication gap is to blame. Businesses need more "analytics translators" ASAP! bit.ly/3FxhVJS

Do you know the most important question you should be asking as a data engineer? Check out this insightful article by @xinran_waibel, Data Engineer @Netflix, to find out what it is! bit.ly/3TNbN45 #dataengineer #dataengineering

Utilizing data is much more than presenting numbers. You need to tell a story. Check out Lights on Data's podcast episode "Effective Data Storytelling" with host @georgefirican and Brent Dykes (Chief Data Storyteller @analyticshero). bit.ly/3f16qPR

Great article about data production pipelines by Chad Sanderson, Head of Data Platform @convoyteam! The difference between prototype and production-grade pipelines and how tech debt can accumulate. bit.ly/3SUTA4p

What do you do when your business and data teams are disconnected? According to @madisonmaeorg, it often comes down to fundamentals like communication and aligning goals. Fundamentals are essential. Why? Even LeBron still works on his free throws. bit.ly/3SYlzjI

How do you build great data products? Reduce data friction? Get business and data teams to work together? All of these topics (and more!) are covered in this week's Data Leader Digest. #dataandanalytics #dataleader #analyticsleader bit.ly/3SYsFVm

#analytics teams can spend 30%+ of their time supporting old reports. That's no fun! See how Mighty Canary can help you get back to deriving insights from data! youtube.com/watch?v=kMlWBqQP…

Want to build a data product that won't come back to haunt you? Check out this article in @TDataScience by our Chief Data Scientist! Marian writes about what to address before you release a production report, dashboard and/or model into the wild. bit.ly/3EaiJDI

We hope you enjoy reading the round-up and summaries of our 5 favorite topics from the week! This week includes data production, AWS vs. GCP reliability, 3 layers of knowledge, data streaming, and more. #dataandanalytics #analyticsleader #dataleader bit.ly/3St3Q3E

Dear #datafam , #businessanalytics & #Analytics Does your flow state get interrupted by questions about dashboards you've already answered? Are you tired of answering "I'm on it" for the 50th time? We can help. Keep your users informed and keep your zen XO Mighty Canary