Data quality

I wrote yesterday how data quality shouldn’t be the focus.

Data quality shouldn’t be the focus.

What can you do with data you don’t trust?

We spend a lot of our time fixing the symptoms of poor quality data.

The costs of producing data increases as it passes through all the different pipelines and teams needed to refine the data into something useable.

Why would you create and maintain good quality data.

Nash Squared’s Digital Leadership Report from last year recorded that 64% of organisations they interviewed think that big data and analytics are the way to deliver competitive advantage, yet only 1 in 5 are using it to deliver increased revenue.

On Thursday I’ll be presenting at the AIDA User Groups Pi Day event.

𝗧𝗵𝗲 𝟭-𝟭𝟬-𝟭𝟬𝟬 𝗿𝘂𝗹𝗲 𝗼𝗳 𝗱𝗮𝘁𝗮 𝗾𝘂𝗮𝗹𝗶𝘁𝘆 # One of my favourite talks at Big Data LDN was by Hannah Davies on The Building Blocks of Data Culture During Transformation.

The quality of your data isn’t simply “good” or “bad”.