Adoption is not a one-time event but an ongoing process you must plan for and measure.
It is essential to measure adoption immediately after going live and over time. After onboarding users, monitor their usage. Use the prebuilt visualizations to analyze and gauge their usage patterns. If necessary, determine courses of action to align these patterns to your goals. Standard measures include the number of active users over different periods and frequently accessed visualizations.
The Usage Tracking functionality in Fusion Analytics enables administrators to track user-generated queries. It comes prebuilt with database tables, extraction procedures, a subject area, and a visualization workbook. Service administrators have access to the subject area and read-write access to the workbook for generating reports and visualizations to analyze usage data.
There are several ways to access and analyze the usage data.
Use the Prebuilt Workbook
The recommended and easiest method is to use the prebuilt workbook. It is accessible via the Fusion Analytics and Oracle Analytics Cloud menus.
Fusion Analytics Menu
- Sign in using the Fusion Analytics URL (ending with /oax).
- From the menu, navigate to Projects > Shared Folders > Common > Usage Tracking
- Click on the Usage Tracking workbook.
Oracle Analytics Cloud Menu
- Sign in using the Oracle Analytics Cloud URL (ending with /dv).
- From the menu, navigate to Catalog > Shared Folders > Common > Usage Tracking
- Click on the Usage Tracking workbook.
The workbook has three visualizations. The Overview is shown above.
It is prebuilt with a Login Name filter that defaults to all users, a Date filter that defaults to the current date, and displays data for one year. You can also create custom expression filters.
The Weekly visualization is shown above. It is prebuilt with a Date filter that defaults to the current date and displays data for the last three months. You can also create custom expression filters.
The User visualization is shown above. It is prebuilt with a User filter that defaults to all users, a Date filter that defaults to the current date, and displays data for the last three months. You can also create custom expression filters.
Create Custom Content
In Oracle Analytics Cloud, create a new workbook or analysis or duplicate and customize the prebuilt workbook.
Use the prebuilt subject area named Common - Usage Tracking.
Data elements that can be used to summarize are shown above, e.g., Year, Quarter, Department, Supervisor.
Integrating and sponsoring new business users and helping them become productive is essential for success, especially during their first opportunities to understand how Fusion Analytics meets their needs. Support them in the production environment with training, communication, and issue resolution via your support team.
Adoption is increased by intentionally and thoughtfully guiding each new business user through the onboarding experience. For each of them, a few features make it stand out. These enable them to leverage data and contribute to the data-driven organization.
- Carefully create individualized user experiences that drive adoption.
Retention refers to retaining motivated and productive users who are using the system actively on a daily/ weekly basis. Even as your new business users complete onboarding, it is a good time to remain vigilant and avoid assuming everything is okay. Look at adoption and retention as ongoing processes through the lens of “ongoing”. You want users to continually see the value of the Fusion Analytics implementation and, better yet, see even more value from it as time passes.
To boost retention, focus on providing valuable content, building strong relationships, and creating a positive user experience. If the content presented to them does not entice them, a user loses interest in the implementation over time and abandons it.
- Provide ongoing training and development.
- Recognize users and offer rewards and incentives for usage and adoption.
- Solicit user feedback.
- Set up feedback mechanisms with the users to retain them. Ask what they want to see next to enhance their productivity and the data-driven culture in the organization. As part of soliciting feedback, iterate and make improvements that improve reports, customizations, additional data, etc.
- Provide internal “Office Hours” where success and new knowledge are demonstrated.
User communication is critical during the adoption phase. No matter how much training you have provided, prepare for many questions and issues to arise during this period.
- Make an extra effort to communicate with users.
- Communicate any updates on issues or schedule changes via previously identified channels.
- Manage messages to users carefully.
- Ensure users can easily provide feedback, find frequently asked questions, and ask new questions.
- Establish a clear and concise method for users to request help.
- Internal office hours
- A community for learning
- Lunch and learn sessions
- Align with the best practices within your organization and utilize them.
Excellent support is critical to successfully adopting and maximizing the value of your Fusion Analytics implementation. Even after going live, implementations have their share of teething challenges – process changes, people issues, etc. Together, your internal support team and Oracle Support address issues to ensure Fusion Analytics runs smoothly.
- Ensure users know whom to turn to for help.
- Listen actively and give users your full attention.
- Be patient and empathetic, as learning a new application can be frustrating.
- Communicate clearly and effectively with users about their issues. Use simple language and avoid technical jargon.
- Be responsive. Users need timely and efficient support. Respond to their inquiries as quickly as possible and keep them updated on the status of their issues.
- Go above and beyond what is expected. Offer additional resources and information, and make sure users are delighted. A little extra effort goes a long way in building adoption.