Cultivating a data-guided culture (with an analytical mindset) is a challenge that you need to readily take on if you want your organization to remain relevant in the minds of your members and stay ahead in your respective industries. Those who choose not to embrace an analytical mindset will get left behind.
Having a data analytics team is essential for your organization to move forward with an analytics strategy and to drive a data-guided culture. Before you build your team and identify what roles you should hire and/or fill, you need to determine what your organization’s goals are and how data analytics can help you achieve those goals. It’s also good to recognize what responsibilities need to be created for you to attain those goals.
An analytics strategy offers many benefits to your organization and now more than never, analytics is changing the way organizations run their day-to-day operations.
At ASAE Tech earlier this month, we shared our Data Analytics Maturity Model (DAMM) which is built for associations by association leaders. Designed as an assessment and high-level action plan, DAMM helps staff members identify where their organization is when it comes to taking a data-guided approach to overall strategy.
The 2017 ASAE Tech Conference was yet another stellar event. Thank you to the entire ASAE team who managed the show—making it a wonderful experience for us to both participate and contribute. Some were there to learn, others to show and some just for fun! We were there for all three!
There are some things to keep in mind when you infuse data discovery throughout your organization. But first, let's take a quick look back.
Data visualization amplifies your data story. Think of the elements that make up a strong and compelling story. They contain a tantalizing plot, well-developed characters, a climax, and satisfying conclusion. You read books or watch movies that keep you captivated from start to finish and leave you wanting more.
As the days grow shorter and end of the year lists start appearing in our feeds, it’s natural to take a retrospective view on the past year and to begin thinking about what we could do differently for 2018 regarding data analytics.
While the customer journey isn’t a new concept, the science behind customer journey analytics is still relatively new, but is slowly gaining popularity. By 2018, 60% of organizations will be adopting customer journey analytics into their organizational strategy.
It’s difficult to imagine planning a trip without knowing what the point of origin is. Whether you’re figuring out your route on Google Maps or searching for airline tickets, the first field you have to fill in is where you’re starting from. Without that crucial data point, any trip you might want to take will stall. The same applies to an association’s data analytics path.