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Data Culture Eats Data Strategy For Breakfast
Culture ➡️ Strategy ➡️ Technology
Before I dive in to today’s topic, I need your help with something! (don’t worry it’s free and fun) You can find out about it at the bottom of today’s newsletter!
🤔 Data Culture? What’s that?
Most companies have 0 idea. I’m deadly serious. 💀
But here’s a little clue:
A data culture refers to all the mushy non-tech stuff about how a company thinks about and works with data.
This includes attitudes and behaviours towards data, as well as the emphasis the organisations places on striving towards the holy grail: data driven or data informed approaches to decision making.🏆
But most companies are nowhere near the holy-grail.
They’re not even in the holy-land!
They think the key to success with data lies with tools and technology. Fat lot of good any of that will do without the right culture in place. So they keep chalking up failed investment in data after failed investment in data.
Before you invest in tech, before you devise a data strategy, you’ll need a data culture.
Let’s dive in!
📀 First Off, Let’s Define a Data Culture
It usually refers to the following high level topics with respect to data:
Leadership and Strategic Alignment
Data Literacy and Skills Development
Collaborative Data Practices
Data Driven Decision Making
Innovation and Adaptability in Data Utilisation
Data Governance and Ethical Use
Performance against these 6 pillars are typically what determines how strong an organisation’s data culture is going to be.
For example, if leadership is not aligned with the value add of data or does little to promote or activate data around the business, then there is going to be little appetite from people below them throughout the business to engage in data-centric activities.
Again, if data literacy is poor, then data initiatives are very unlikely to gather support from non-data peers.
As you can see, these pillars typically refer to the understanding and appreciation for data from non-data stakeholders.
These are also no tech-centric pillars. As mentioned above, tech is not going to achieve anything without first of all a data culture, and then a data strategy in place.
🤷‍♂️ Why is a Data Culture So Dang Important?
Data is misunderstood.
The biggest misconception is that data is a technical discipline and something that is very complicated and confusing for non-technical people - aka business leaders.
When in fact, data is a business discipline that, like every other area of a modern business, relies on tools and technology.
But none the less, data is sat next to IT and Engineering in people’s minds.
This all results in what is commonly known as: DATA FEAR đź‘»
So what’s this got to do with a data culture?
A data culture needs to be in place in order to remove the fear first of all, and then to align the business in such a way that it can capitalise effectively on it’s most valuable asset: It’s data.
Without a culture in place, it is near impossible to create a data strategy, and in lieu of either of those 2 things, businesses go about investing in data with a technology first mindset.
This results in misalignment with organisational strategy and little to no definition of ROI or what success needs to looks like. GIGANTIC FAIL đźš«
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