It’s not breaking news that software has eaten the world, and applications are now fully integrated into our daily lives. Software developers have greater tools than ever before to help deliver products, but customer demands are also changing at an accelerated rate during this ongoing technological change.
The capable UX from consumer applications has translated to an even more savvy userbase of corporate users in the workplace. Users expect information immediately at their fingertips, and non-technical users can also take advantage of self-service analytics functionality centered on making smart business decisions. Therefore, to successfully offer a great user experience, data and analytics must be incorporated naturally into the application for a productive result.
However, analytics isn’t a one-size-fits-all solution. Your application’s users have unique needs that need to be fulfilled. Read on for tips on how to ensure your chosen analytics solution will drive value for your organization.
What Considerations to Make Before Embedding Analytics?
To meet these changing customer demands, developers must know who the dashboard user will be to make prioritizing needs and desired outcomes a lot easier. Customer engagement is important, and it’s our job to make sure you’re able to deliver for your users. We want to help your customers use your product, re-enforce the value proposition, and ensure your application solves for the type of problems they must overcome.
There are a few different considerations to make when embedding analytics:
- Intuitive Dashboard Layout: Developers must toe the fine line between showing too much or too little in the dashboard’s UI. For instance, customers want to receive relevant product information to help boost confidence in the buying experience without crowding their view. A great example of accommodating these needs is Amazon, who provides a unique customer journey. By providing similar products, alternative solutions, and user reviews in an accessible visualization, the company makes the user’s experience as smooth-running as possible. When considering visualizations, always be sure to prioritize how you can help users make decisions within your application.
- Making an invisible product visible: Your application is already collecting data behind the scenes, but trying to determine how to present that information in a compelling way can be challenging. Providing that information directly to the customer requires an understanding that customers make decisions based on an assortment of different motivations – even if a similar behavior is chosen, regardless of the motivation. Interactive dashboards are a highly visible way of presenting this previously invisible information in a way that helps drive data-driven decisions. Consider how analytics can add value to your application’s existing data collection.
- Expanding Personas: Use personas to provide insight into behaviors within the analytics platform, such as determining what tools and work arounds are used to resolve problem areas by each user. Many users are unable to clearly define what their business needs are, and often forget past activities implemented to help achieve project success. A persona-segmented approach fosters a user-centric structure, allowing you to offer features and layouts based on how a user interacts with a dashboard. Collected data should help determine how many and which personas to create.
By considering the visualizations, personas, and the user experience as a whole, you can ensure your analytics drive value for your end users.
How Should You Implement Your Analytics?
Regardless of added functionality, integrating analytics must connect with data, security, UI, and workflow areas of the application. Luckily, with embedded analytics, the implementation process is simplified. Your DevOps team will thank you for taking these steps:
- Future-proof for growth with vertical scaling using a commodity server infrastructure
- Align and manage your security model with an Authentication, Authorization, and Auditing framework
- Maintain precise control over end-user access and data governance
In the end, applications must implement best practices to yield information that is helpful for the decision-making process which customers must interact with. Adopting to recent trends, end users are evolving and becoming more knowledgeable, and now their software demands have become more specialized. Therefore, considering these new and improved skillsets will be crucial in implementing analytics that drive value.
What Are Common Mistakes to Avoid?
The work doesn’t stop after the initial implementation of your embedded analytics. Normally, features are released by application developers based on what’s the most feasible, but development teams should take careful consideration into what kind of value they can deliver. Product changes should be prioritized based on value impact to the company and the customer, and the speed of any changes or upgrades designed to help complete task objectives. Creating a positive dashboard experience will help deliver a fantastic user experience to customers, with feedback constantly absorbed. Consider analytics a living solution, as users interact with analytics you’ll likely need to change or add features to suit their needs.
It can be easy to let your analytics fall to the wayside. To ensure your analytics continue to drive value, avoid these common mistakes:
- Not learning a customer’s needs and demands
- Not prioritizing self-service capabilities suited to user personas
- Adding features simply to check them off a list
- Deciding to build your own analytics application and not knowing when to search for assistance
Based on the increased skills of customers, often learned in their personal consumer lives, this has translated to changing requirements in the workplace. Development teams must adapt to customers becoming more selective about how they interact with applications. As your data architecture continues to evolve, you must be able to keep your business objectives in line with the growth of users’ requirements and performance requirements over time. Companies must receive feedback from customers, then be able to enhance how they interact with dashboard analytics.
To learn more about customizing analytics for your product, please hear what Charles Caldwell, VP of Product Management at Logi Analytics, in a recent webinar.