There’s something to be said for caution. After all, diving into uncharted waters feet first can land us in all kinds of trouble, particularly if those waters are shark-infested and those sharks have severe anger management issues. With this in mind, I can understand small business owners remaining guarded and reticent about adopting data visualization practices.
Data visualization once had a reputation as an expensive pursuit with more to offer to big business than to relative minnows. This is no longer the case. In the past, I’ve written extensively about the tools and platforms available to businesses of all sizes; tools and platforms which have essentially democratized the landscape of DV and have placed its benefits directly into the hands of small business owners.
The time for caution has passed. We’ve established the ‘how’ – although you can get more information on that by clicking here – now let’s look at the ‘why’. These are some of the top factors that make DV so advantageous to small business.
Whatever Configuration You Need
When we talk about the DV tools that have opened the discipline up for organizations at all levels, we are not talking about one or two plugins or apps. No, instead we are talking about a wealth of different tricks and tools, all of which can be put to good use within your organization.
You need tools that can help you get the very best from your BI and your DV strategies. To achieve this, the experts at Microsoft advise looking at variables in five key areas. These are;
- Type of data – A tool which enables you to segment data and then use this data on relevant projects is particularly useful to small business
- Storage methods – Small businesses can augment the storage they currently use by employing cloud architecture, and using tools to connect or manage the two
- Preparation of data – Smaller and medium sized business need tools which allow them to easily prepare datasets ready for visualization, reducing the workload placed on their teams.
- Wielding the data – You also need to be able to transmit the insights derived from DV to anyone who needs it. You need straightforward but powerful tools to achieve this.
- Sharing the data – Data visualizations needs to be accessible across a range of operating systems and devices. Make sure the tools you select can support this
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