Fall In Love With Data
How can you get your organisation to fall in love with data and embed it into decision-making? What are the secrets behind creating a data-driven culture?
More than 70+ data professionals joined us to discuss!
Do People Understand Data?
The first barrier to organisations getting the most out of data is understanding it. Charts, graphics and statistics are hardly new phenomenon, but it is perhaps taken for granted that people know how to read them, and what actions they should take from that information…but this isn’t always the case.
Data is easily swayed with the wrong sample size, the wrong sources and from conflicting truths from different sources. This makes it all too easy to draw the wrong conclusion with potentially massive implications. Here are three steps to help people understand…
Data Dictionary
Where you are define key business metrics, what they mean, how they are calculated and where that data point sits.
Get Your Basics Right
Well-labeled charts. Sensible colour options. Insights as to what the numbers show. Make it easy to understand!
Data Literacy
Training programmes are a good place to start but think about fun ways to engage your team, & challenges you can set.
How To Ensure Projects Deliver?
The next barrier we spoke about is delivering ROI from data. How can you ensure that your data initiatives go beyond simple reporting and provide real value for your business users? How do you involve business stakeholders on that journey, get them excited about the possibilities of data but also give them realistic expectations on outcomes and timelines?
Key challenges here were in understanding the current processes in place, business requirements not being technically feasible, and deciding which initiatives to prioritise.
Managing Change
A ‘data-driven culture’ is a change from the norm. And where there’s change, there needs to be a structured approach.
Idea Generation
Involve end-users at the start of the process and understand business priorities up front, screen ideas & set expectations.
Feasibility Review
Ensure all data ideas are technically feasible, have clear outcomes, risk has been mitigated & expected ROI is clear.
Embedding A 'Data First' Culture
The first barrier to organisations getting the most out of data is understanding it. Charts, graphics and statistics are hardly new phenomenon, but it is perhaps taken for granted that people know how to read them, and what actions they should take from that information…but this is not always the case.
Data is easily swayed with the wrong sample size, the wrong sources and from conflicting truths from different sources. This makes it all too easy to draw the wrong conclusion with potentially massive implications. Here are three steps to help people understand…
Avoiding Bottlenecks
Analytics teams typically have a small headcount & multiple stakeholders, blocking agility.
Creating Data Products
All data projects fail if no one uses them! So how can you ensure your solution is adopted?
Successful Data Teams
The only goal of any data teams: to generate value for the business, but how should go about it?
Where To Start?
If you’re looking to get more impact from your data then it can often be difficult to unpick where you need to focus on. 173tech believes that true value is only created when you tightly align your people, technology and strategy. Each element is intertwined and so often it’s difficult to asses but our impartial review can help. Here are the areas we typically investigate…
- Is the organisational structure, team and leadership in place to enable a high level maturity?
- Is the strategy for each capability appropriate to create a high data maturity?
- Which tools and infrastructure make up the data stack?
- Are the right tools selected for each data capability
- Are the selected tools and infrastructure used in the best way?
- Does the process for the data capability lead to high data maturity?
- Is the process understood?
- Is the process executed well?
- Do the relevant people have the skills to use the tools, execute the processes and fulfil the data strategy?
- Do the people buy-in to the strategy and understand the use of the tools?
- How advanced is the data culture?
Ready To Start Your
Data Engine?
Want to find out what the possibilities are for turning your data into business drivers?
Not sure if your ideas for using data are technically feasible and will generate ROI?
Have a specific use case in mind for your data but don’t know how to get started?
Get in Touch!
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