Data

How many times do you find something that is not working as it should be, and after digging around you find it has no clear owner?

Each data project should be doing or enabling one of three things:

1. Increase revenue
2. Decrease costs
3. Reduce risk

If not, why are you doing it?

The bystander effect is a social phenomenon where individuals are less likely to offer help to a victim when other people are present.

People don’t like being told what to do.

But people do like being part of something bigger.

Following on from yesterdays mail, when I talked about the language of data engineering, it’s worth asking why you’re asked to accept “unrefined”, poor quality data.

The language we use is important. It helps define culture, it shapes behaviours, and it defines our identity.

Every organisation beyond a startup has multiple teams or groups working together to deliver something of value for the organisation.

The Digital Leadership Report 2023 from Nash Squared contained these interesting data points:

Almost two-thirds (64%) of the digital leaders we surveyed think that big data and analytics will be in the top 2 technologies to deliver a competitive advantage in the next year.

What does your exec team think about data?

Do they feel like they are using data to drive decisions?

Many tech companies follow the “you build it, you run it” mantra - and for good reason. You want to empower your teams to build high quality services and solutions, and that means feeling the pain when things aren’t quite as good as they should be.