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There are so many data visualization tools available on the market today. There are at least dozens, if not hundreds, of different options, all with their own array of bells and whistles. Choosing the right one for your purposes can be daunting.
When sorting through your options and deciding which, if any, data tool or tools will best serve your organization, you have to think deeply about what your company needs from the tool. Here are the five questions you need to ask to narrow things down.
1) Do I Need to Unify Multiple Datasets?
Often companies look for data visualization tools that can pull together data from multiple sources and present it on the same dashboard. Most tools can do that, and some tools can go a step further and allow you to filter multiple data sets with the same filter.
2) What Sharing Capabilities Do I Need?
Who will be generating reports based on your data? If it’s just a few data analysts, that requires a tool with a very different interface than if you want all stakeholders or a wider pool of employees to be able to generate reports. Data analysts may be more comfortable with complex interfaces and will get more functionality out of them, but a wider pool of users is going to need something more simplified. Choose a data visualization tool based at least partially on what the users will need and want from the interface.
You should also consider whether reports will need to be automatically updated and, if so, whether they can connect to a live database to pull the updated information they need on the schedule they need it — whether that’s hourly or monthly, or somewhere in between. Consider also whether users need to export data out of reports, or share reports through a portal or via link.
3) How Large and How Raw Are the Datasets?
The larger your datasets, the harder they’re going to be to deal with. Data scientists (and scientists in general) know that… Read More
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