The sales dashboard is blank. Nobody knows why. The only person who built the pipeline left two years ago, and their documentation consists of three cryptic comments in the code.
Sound familiar?
Welcome to the ETL graveyard — where data pipelines go to haunt your business operations. It’s that collection of undocumented, fragile, ad-hoc processes that somehow keep your data flowing until they don’t. And when they break, you’re left playing digital archaeologist, trying to piece together what someone built in a rush three years ago.
Scaling a business is no small feat, and Velto is a testament to that. Based in Northern Europe, Velto is a fast-scaling consumer electronics company creating buzz across households and offices alike. Specializing in smart thermostats, portable air purifiers, and remote control hubs, Velto’s products are sold through Shopify, Amazon, physical retail stores, and B2B channels.
With teams spread across Sales, Operations, Marketing, Finance, and Support, and systems like Shopify, Exact, HubSpot, and a maze of spreadsheets and dashboards, Velto seems like a well-oiled machine. But beneath the surface, the everyday challenges of managing rapid growth start to emerge.
The world of data development is evolving at a breathtaking pace. Artificial Intelligence (AI) has moved from sci-fi buzzword to business necessity, reshaping how organizations handle data and make decisions. But with great power comes great complexity. Building a modern data development team requires more than just adopting the latest tech tools. It demands a rethink of team structures, processes, and roles, as well as an intentional effort to integrate AI seamlessly into workflows.
Have You Ever Considered What It Takes to Organize Data Within an Organization?
Data is everywhere, but without structure, it quickly turns into chaos. As a data architect, I see daily how organizations can harness the potential of data by setting it up intelligently. It’s a role that’s about more than just technology; it bridges strategy with growth and delivers solutions that are future-proof. But what makes this role so important in a world increasingly dependent on data?
Data is everywhere. From marketing campaigns to sales trends—everything generates valuable information. But how can data truly contribute to your company’s growth? That’s where a data strategy comes in.
Rather than simply collecting and managing data, a data strategy is about using data to support your strategic business goals. It helps you not only find answers but also make informed decisions that drive business success. A good data strategy reveals opportunities instead of just challenges, turning data from random numbers into a critical part of strategic decision-making.