Whaly hosted a webinar on How to Roll out a Data from Scratch in mid-February, with insights from Alban at Fabriq. Learn the takeaways and the action plan here.
Data has become a crucial part of every business, organization, and industry. In today's digital age, data is not just an asset, it's the new currency. Most companies recognize the tremendous value that data brings, and have lofty objectives around being “data-driven.” The reason this is so difficult to achieve is that this adjective describes a culture, requiring adoption by everyone across the company. It’s one thing to implement and set up a data stack and its tooling and foundation, but it’s another thing to actually get people to use data religiously, understand its value, and leverage it consistently for decision-making. There’s a lot of influencing, educating, evangelizing, and training that needs to happen to establish a data culture.
A data culture is the collective values, attitudes, and behaviors of people who practice, prioritize, and encourage the use of data to drive decision-making. It involves empowering employees to use data to make informed decisions, fostering a data-driven mindset, and more data-backed decisions.
A data culture is essential for organizations because it helps them to make better decisions, reduce costs, improve efficiency, and increase revenue. Data-driven decision-making enables businesses to identify trends, spot opportunities, and reduce risks, which are crucial for success.
Moreover, a data culture fosters collaboration and accountability. When employees have access to data and insights, they can work together to solve problems, align their goals, and measure their progress. It also promotes transparency and trust among employees, customers, and stakeholders.
On February 15th, 2022, we were delighted to welcome Alban van Rijsewijk, Operations Manager at Fabriq, as a speaker at our webinar on “How to roll out a data culture from scratch.” Fabriq is a Series A SaaS company with a digital shop floor management platform designed to improve industrial performance. We’ve summed up the takeaways of the session below, broken out into two different sections: Implementation & Adoption.
Alban was employee number 4 at Fabriq and started out on the Customer Success team. He realized the need to start implementing a data foundation and culture when he was missing product analytics which would be valuable to his customers. He wasn’t able to extract data without bothering his technical team, which grew tiring and was off-putting for non-technical people like himself. He decided to get to the bottom of it and pioneer all things data at Fabriq by taking the below steps.
Data can’t be useful unless it’s used and valued. Now that you have your first data analysis project, it’s time to start evangelizing it, educating internal teams and stakeholders, and rolling it out. This is an ongoing process, and persistence in encouraging adoption is the only way to foster a company-wide data culture.