Data Pilot is an organization which specializes in building web or mobile based data products using your own data models and dashboard designs. Our team of experts will work with you to make sure your product meets all of your specifications and requirements, allowing you to build the best possible product for your customers. Whether you need more advanced data analysis capabilities, or want to simplify the process of deploying your own machine learning models into custom applications, Data Pilot can help you! Contact us today if you’re interested in working with our team on your next project!
Choosing the right user experience (UX) team
You’ve built a great data model or dashboard, but now you need to make it usable through a web or mobile application. How do you choose the right UX team to build your custom data product?
Here are five things to consider when choosing a UX team:
- Their design portfolio – Do their previous designs meet your standards?
- Their process – Do they have a process that they follow for every project?
The UX Roadmap
In order to make your data models and dashboards usable through a web or mobile application, you will need to consider the user experience (UX) roadmap. This means thinking about how users will interact with your data, what kind of interface they will need, and what features will be most important to them. Building a custom data product can help you achieve all of this and more. By working with an experienced team of developers, you can create a data product that is both easy to use and visually appealing.
Understanding your users
When you’re building custom data products, it’s important to think about your users and what they need from your product. What kind of data do they need to see? How often do they need to see it? What device will they be using? Answering these questions will help you build a better product. For example, if your users are farmers in Kansas, then their needs would be different than people in New York City. If you’re not sure where to start with this process, we can provide insights on how to create the best possible experience for them.
The first step is to create wireframes for your web or mobile application. This will help you determine the overall layout and flow of the application. Once you have the wireframes complete, you can start building out the individual pages and components. It is also important to think about what type of data model you want to use. For example, if you are using SQL Server Database, then it might be more efficient to build an SSRS report than any type of machine learning model.
Establishing a pattern library
Your web or mobile application should have a consistent look and feel throughout. This can be accomplished by establishing a pattern library, which is a collection of reusable design elements. By using common elements throughout your app, users will feel more comfortable and will be able to navigate your app more easily. Plus, a pattern library can save you time in the long run by allowing you to reuse design elements instead of having to recreate them each time you need them.
When you build a dashboard, the first step is to understand your audience. Who will be using the dashboard? What information do they need? How often will they need to use it? Once you understand your audience, you can start building the dashboard. Consider what metrics you want on the dashboard and which metrics are most important. You also need to think about which graphs work best for your audience. If they are more visually inclined, then use bar charts or line graphs. If they want text based data, then use tables with rows of numbers.
Testing and iterating on prototypes
After you’ve built your data models and dashboards, the next step is to make them usable through a web or mobile application. This way, your users will be able to access them from anywhere. To do this, you’ll need to test and iterate on prototypes. Here’s how 1) Keep in mind what your goals are for the prototype: Is it to show off the user interface? Are you looking for feedback on the design? Or are you ready to show it off to real users?
2) Run an A/B test: Run two different versions of the prototype by displaying one version of it to half of your audience while showing another version of it to other half. Find out which one they like better and then keep that one as your final prototype.