Working on any product will undoubtedly lead to some interesting experiences and scenarios – and even more unexpected challenges. No matter how straightforward an undertaking seems, there are bound to be problems that pop up. Being flexible as a person is easy, but being flexible as a team is difficult. When using agile analytics best practices, however, you are allowed a bit more flexibility and room for change.
When you use agile analytics best practices, you will receive many benefits – you just have to remember them and put them in the front of any and all planning.
One of the most important aspects of agile analytics best practices is the building of community that will bring together people from across your organization. This is typically a fundamental shift in the way power is shared at your company.
Best practices include having some sort of kickoff meeting or informational session with your company to breakdown some of the existing barriers that might stop you from moving forward.
You then want to augment it with social tools and at your regular meetings.
As you are starting to use agile analytics, you absolutely want to build that sense of community, especially if you have sectors
It might seem somewhat obvious, but when you are using agile analytics, you want to use agile methods whenever possible. Agile combines processes, methodologies, tools, structures, and technologies to help you be more flexible and responsive to changes – and your analytics need to do the same. When working with agile analytics, you want to use agile methods wherever and whenever possible.
One of the most important things you can do before utilizing agile analytics is to provide support to your team and anyone who will directly come into contact with agile analytics. You can do so by ensuring you have the following in place:
Training: You want to have regular training on the tools, data, and best practices for agile analytics. For new hires, it my require new training such as learning terms and technologies, but you also want to have reminder or refresher training for people who need it.
Date Collection: You want to have methodologies and protections in place for when, how, and where you will store your agile analytics and who will have access to it. With easy to understand agile analytics like those from CAST Highlight, you won’t necessarily need someone to translate it, but you may need help with storage suggestions or where to keep your data.
Update Tools: Make sure that you keep your tools up to date and that you learn any new tools so that you can update the training on your team.
Of course, you also want to understand how your agile analytics function, so you might want to get information in return. This will provide business leaders with information about the use of agile analytics and help to optimize the system as a whole.
It is common to assume that everyone will have the skills required to work with agile analytics and completely understand where the information comes from – but that is not something everyone is empowered to do. It is important to ensure that everyone feels comfortable with agile analytics more than anything else, or you can’t really put them to good use.
Analytics are so important when it comes to working within the agile methodology – but it can be hard to understand why agile analytics are important and how it should be used. Still, businesses have to adapt to the current needs of not only consumers, but of themselves.
You can dramatically improve your analytics business agility and work with your IT team to continue to improve on all levels – but you need to build the culture and work with agile analytics best practices to get there.
Are you ready to get start with agile analytics and learn more about best practices? Schedule a demo with us today.