Right now, most companies understand the importance and value of data, but are simply overwhelmed by the sheer volume of it and lack a strategy for leveraging it effectively.
Whether you’re wondering where to start or how to get more out of your data, this webinar is for you.
David Kretz, director of internal projects at Spiria and Michael Curran, publisher at OBJ, sat down to explore this hot topic and provide practical advice for companies in this live broadcast.
This is an edited transcript. To hear the full interview, watch the video above.
MC: David, how can companies create a data-driven culture and why is that important?
DK: Being data-driven means you make strategic decisions based on data analysis and interpretation. It also means you’re using and building tools and being a part of cultures that use data. Culturing that attraction can have a positive impact on our businesses if done properly. The key aspect to creating a data-driven culture is making data accessible to as many people as possible at your company – internally and externally. The reason you want to do that is because you want to ensure that your decisions are being anchored by data, and are easily understood and business-focused.
MC: A lot of us can start to feel overwhelmed because data never stops. Tell us about the repeating nature of data.
DK: Data in its own way is a cyclical process, it’s something that you need to continue to refine and engage with over time. It’s important to also engage data on a human level, create documentation around it and show how it is being used. That can help create trust between your clients and staff. Creating dialogue with your data can also create actions between your parties and spark new ideas and projects.
MC: David, where does innovation tie into all of this?
DK: Innovation is one of the most exciting parts of being a data-driven culture because you get to create something new. The idea of building proof-of-concepts and finding ways to improve upon your products is really rewarding. To get the most out of your proof-of-concepts you need to make sure that they are visually lean and that they exact results and show that they provide a solution for you.
