Many years ago (I won’t tell you how many), my high school computer science teacher first introduced me to the concept of GIGO. It stands for Garbage In, Garbage Out and what it means is your results are entirely dependent on the quality of your beginnings.
Dirty data – it’s not your friend. No, I’m not talking about things that don’t belong in the workplace! I’m talking about informational data sources that have become riddled with misspellings and extra spaces, variations in cases, and three different ways to write the same address.
Last time we spoke about “Slow Decision Making” and the effect it has on business. This week we talk about the last two items in our series – Dissemination of Data – and probably most important –
In the last few posts, I’ve been talking about some of the common problems that make it difficult for organizations to meet core objectives, such as persisting with outdated systems for all the right (yet wrong) reasons, and how key information gets trapped between data silos.
Over the past 15 years of working in the Business Intelligence industry, I’ve worked with all sorts of different organizations. Whether they differ in size and scale, technology, or industry, there seems to be several common factors that keep cropping up that make these organizations struggle with meeting some of their core objectives.