by Sophie Strobel | Mar 24, 2020
“This is how you should do it but let me show you how we usually do it,” is something I used to hear all the time during training. Employees often look for ways to speed up their tasks and work around the protocol that slows them down or creates more work. Once they... by Jackie Greekamol | Oct 8, 2019
When we load bad data into our systems, we cannot expect them to deliver great results. Sometimes we do this mindlessly or maybe as a way of convenience, but this shouldn’t be an option to begin with. So, are you investing in your data for the long run? You shouldn’t... by Matthew Comeau | Nov 1, 2018
When asset-intensive companies recognize that their data quality is not quite up to standards, their next step is to find a solution that will help them fix it. While this is a good way forward, sometimes the sheer cost will cause them to rethink their decision. This... by Sophie Strobel | Sep 5, 2018
Why is it so tempting to put off doing a corporate data cleanse? Partially, the huge upfront cost. Companies would much rather spend on something that is tangible like brand new equipment, or larger facilities. Then there is the manpower required to efficiently run a... by Sophie Strobel | Aug 30, 2018
Your job requires data that has been compiled by numerous different sources and so a certain amount of trust in the work of others is required. What if you find persisting errors riddled in the data that you require to do your job? Are you still able to trust any of...