Setting the Data Strategy for Your Growing Organization

Putting this guide to work

Congratulations! You made it through a 10,000 word treatise on data strategy. You’re clearly excited about working with data, but don’t assume that excitement is shared by your friends and family. In fact, a recent survey found out that Big Data is the single topic least likely to lead to interesting dinner table conversations.

We made that up.

The truth is, using data to make better business decisions is hard, and frequently unglamorous. We feel that the media coverage of data is too focused on the hype, and we wrote this guide to be a practical, useful take on the subject. We hope it worked and that you now have the information you need to confidently embrace that challenge ahead of you.

The good news is that there are more tools than ever to help you manage your data. Stitch is a complete data infrastructure; it connects to your existing databases and SaaS products and consolidates your data into a single analytic database. Amazon Redshift is the most performant, affordable analytic database on the market, and Microsoft Azure and others are working hard to keep up. Looker, Mode, Periscope, and others are analytical tools that sit on top of your data warehouse. And if you don’t have the budget to pay for analytical tools, open-source tools like re:dash, Beaker, Metabase, and Jupyter Notebooks give analysts everywhere the same powerful capabilities.

So the good news is, it’s easier than ever to build a flexible data stack that suits the unique needs and skill sets of your organization. If you’re currently thinking about your data strategy and want someone to talk through it with you, shoot us an email. We’ve helped hundreds of businesses like yours go through the same process and can help you at every step of the way.

And of course, we’d love it if you gave Stitch a try. Stitch is the absolute fastest, easiest, and most reliable data infrastructure on the planet. It’s free to try and completely self-serve, so sign up for your trial today!

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How do we collect the data we will need to analyze?

Chapter 5
Putting this guide to work