First: Be on the same page
A cliché it may be, but being on the same page is the key to success. When everybody has a different understanding of the key metrics involved, poor judgement calls and bad decisions are made. But businesses need to make good decisions. To make the right calls, you need a great tool that will effectively interpret your data and give you a better understanding of the key metrics at play. A platform that visualises all data. A platform that provides a set of defined metrics and indicators that can be accessed by all team members. A platform that ensures everyone is on the same page.
Because all indicators are clearly described, they’re also easy to understand.
Second: Employ user management
Not everybody within a company needs to have access to every feature on the platform. That’s why it’s always a good idea to differentiate between user roles.
James, the CEO, doesn’t really have time to create data models or set up views. That means that someone else who’s adept at logically interpreting the data has to step in. Clare from Sales and Marketing fits the bill perfectly in this situation.
Next, somebody has to be tasked with setting up the project and loading the data. Kevin, the Data Analyst, is just the man for the job. He takes charge of implementing, editing and loading the project’s data.
Defined user roles and data permissions are key to data democratisation.
Third: Share results
You can have the best predefined metrics, indicators and views at your disposal, but to be utilised effectively they need to be accessed by the right people. Say you have a Sales Team that’s primarily out-of-office and you need to give them data updates while they’re out and about. In this situation, a cloud-based analytic platform offers a super-convenient, easily accessible solution.
An additional feature that can help democratise data among team members is the option to export. When you need to send a batch of results to your colleague or make an external presentation, the ability to export and share becomes particularly useful.
The export option lets you share crucial data that can be used with other tools.
Fourth: Educate your team
As we all know, employees are every company’s biggest asset. They bag the results. They kickstart development. They’re the ones that achieve. So making sure each of your employees is up to speed with regard to data, metrics, indicators and views will make all the difference – not only in terms of workflow but also results. An educated team means things run much more smoothly.
+1 more: Use location intelligence
80% of all data includes a location element. That’s a fact. Just take a sales team looking to acquire new restaurants or develop a relationship with a food delivery aggregator. In both cases getting information about particular geographic areas will be crucial. Similarly, e-commerce business is witnessing a growing trend toward the omnichannel model, such as interconnecting offline locations and online services. If you’re a bank with a large branch network, operation costs can be high. Knowing where your customers live and work can lead to better decision-making, thus lowering expenses and increasing the quality of your service. And there are many more cases where businesses can avail of features that deal with data more efficiently, such as viewing particular parts of cities in more detailed granularity as opposed to being given a set of confusing numbers taken from graphs and charts.
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