In the button that invokes full screen mode, enter not ‘Full Screen’ To make your buttons appear on top of one another at the proper times, in the Visible Only If function of your buttons, enter these commands: That may sound big – and it is – but if there’s one thing I know about Nioxus, it’s that an amazing team of hard working, talented individuals can work miracles. Here’s to a fabulous 2021! What has not changed is our commitment to quality, the dedication of the entire Nioxus team to doing the right thing, and doing it with integrity. This year, even bigger changes are in store for Ninox and Nioxus – and I can’t wait to see what innovations get called out next January.įor now, my resolutions include helping improve the experience for all Nioxus membership levels, providing better insight into what’s coming to the Nioxus product suite, while continuing to offer world class service and exceptional value to the global Ninox community (and our fantastic clients around the world). We have published an additional library worth of articles, templates and videos on our website, YouTube and in our video vault. We have a completely updated website and a bigger Nioxus family to bring it all together. We now have multiple products (thanks to our fantastic team) as well as the services our members have come to rely on. Now that we’ve covered the Data Maturity Lifecycle, make sure to tune into The Eye next week when Databasics will look at Data Quality and how we measure it.Ģ021! Can you believe it? I joined Nioxus about a year ago and so much has changed. This time last year, the idea of visualizing data was just an idea. We didn’t know how a document management tool could be a game changer for businesses of all sizes and I didn’t know enough about the Ninox calendar to know what an expanded experience might look like. Then, taking advantage of the rich Ninox language, we can rely on Ninox to calculate and deliver information and Intelligence (and don’t forget to check out the Ninox Reporting tools here).
When designing your Ninox application solutions, keep in mind that the primary goal is to collect and store as much raw data as necessary. The name tells us a lot about how we build our data models. So why does this all matter? Consider the very name of what we build everyday… they are DATAbases. By comparing our information to another informative metric, we now know something about our school in the context of all schools in our town. Consider if we were to calculate information regarding the percentage of males versus females in the freshman class of our school and compare it to the same information about other schools in our city.
Intelligence is information compared to some baseline metric such that we learn something about the population in a context larger than the population itself. That leads us to Intelligence (Business, Actionable, Predictive, or any other kind). Where data tells us something about one actor, information tells us something about an entire group (or Array) of actors. In our school data example, total counts of all boys and girls in a specific grade and/or the percentage of males versus females enrolled in the school is a perfect example of information. Aggregations are mathematic or statistical manipulations that deliver a value representative of an entire population of actors. Information – in its simplest form – is aggregated data. So, if we are tracking the gender of students in our school, each record would represent a student, the student would be the main actor and the Gender field in that record would refer to only that student. Data refers to a single quality of the main actor in a record. Data is a single characteristic such as someone’s gender. Let’s start with the Data Maturity Lifecycle – the construct that describes the evolution of raw data (the lowest form of intellectual content) into business intelligence (the highest form of intellectual content). But to really escalate your database and data analysis skills to the highest level, it’s important to use the proper vocabulary. It amazes me how often people use the words “data”, “information” and “Business Intelligence” as though they are all interchangeable.