Auditing data quality the easy way
One of the first steps on the path to data quality enlightenment is to audit the quality of your data. It’s useful to know the current state of play, to work out which data sources need your […]
The data marathon
I’m currently training for a marathon, and have been putting off sorting out the tons of running data gathered by my GPS watch. I haven’t been practicing what I preach when it comes to data […]
Introducing our new tagline…
Recently we’ve been working on a new tagline – one which sums up everything we strive to achieve at DataSalon, on behalf of the many publishers we work with. We’re now pleased to unveil the […]
Our first webinar
We dipped our toes into the world of webinars recently, hosting a free session on the topic of data quality. This was the first webinar we’ve hosted and as such was a bit of an […]
Big plans for 2014
With the start of a new year inevitably comes some thinking about strategy for the next twelve months. We’re no different here at DataSalon, and in December we all sat down and had a good […]
Your specialist subject?
We’ve recently been analysing client data sources through our data quality module, MasterVision DQ, and one of the findings we were interested to note was the limited information available for individuals’ subject interests. This is […]
The wacky world of organisational IDs
We’ve been reading the recent CASRAI-UK Organisational ID report on institutional identifiers in the UK with interest. The report was commissioned by JISC to provide a landscape review of organisational identifiers currently used, and makes […]
What is a “valid” email address?
We have recently spent a lot of time looking at data quality issues in publisher data. Email addresses are a key piece of contact info, and essential for online marketing campaigns, so it’s particularly important […]
Hierarchical searching
Anyone who works with customer records in scholarly publishing will know that a complicating factor can be the hierarchical relationships between individuals, departments, institutions and consortia. For a long time now it has been possible […]
Pulling rabbits from a hat: conjuring up missing info
One of the issues we often encounter with the files we receive from clients is that of incomplete data. When values are missing altogether, or are contained in the wrong fields, we have developed a […]
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