![]() With each stage of growth comes new challenges and we’ll specifically call out targeted advice for each stage.įirst Steps: You have a small number of customers that you maintain hightouch relationships with. Let’s start by looking at the stages businesses generally go through as they grow, from small startup to international enterprise.Īs companies evolve, so do their data and data technology needs. Perhaps most importantly, you can make wise decisions early that pay dividends as you grow, helping you avoid migration/integration work and the need for re-architecting for scale. By choosing the right tools and technologies at the appropriate steps of your Journey, you will be able to maximize the value that you’re able to extract from your data while also controlling your spending on tools and resources. Ultimately, the Data Stack Journey is the evolution of your data, data tools and processes over time as your business and data grow and change. This toolkit will enable you to leverage your data for its maximum impact. Understanding where you are on your journey can help you choose the right data tools for your business. The moment your business first provisions a database to store data, you’ve taken your first step on the Data Stack Journey. He has a long history of helping companies architect customer data stacks and use their data to grow. The Data Stack JourneyĮric leads Customer Success and supports Growth teams at RudderStack. ![]() We will cover company stages, the core components of the customer data stack, and then dig into Alex’s recommendations on which components to use at which stage based on his experience building data stack at companies like Heroku and Mattermost. We call this process “The Data Stack Journey.” This post is meant to guide you in making good foundational decisions that will give you short-term benefit, but reduce or eliminate the all-too-common growing pains that happen as your business and data grow. This changes how you create value from data. As your business grows in size and complexity, you iterate to adapt to demands from customers and the market. Importantly, your efforts at implementing the tools and processes required to create value from data aren’t static. ![]() This unique competitive advantage helps them ultimately win in the marketplace. In fact, we argue that companies that can leverage this data at scale, are able to understand their businesses better and iterate more quickly. The amount of data produced by your business is immense - if harnessed properly, it can also be immensely valuable. Tracking sales leads, marketing journeys and customer experiences is now standard, to name just a few forms of business data. Many businesses collect the types of product data mentioned above, of course, but that’s only one kind of data. ![]() From your watch tracking your health to your washing machine notifying you when your clothes are done and your phone tracking everything, our personal lives are constantly emitting streams of data. Our current world is defined by information overload. Alex loves to build data systems and drive business impact with cutting edge data technology. Previously, he worked in data engineering for Mattermost and Heroku.
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