search.noResults

search.searching

saml.title
dataCollection.invalidEmail
note.createNoteMessage

search.noResults

search.searching

orderForm.title

orderForm.productCode
orderForm.description
orderForm.quantity
orderForm.itemPrice
orderForm.price
orderForm.totalPrice
orderForm.deliveryDetails.billingAddress
orderForm.deliveryDetails.deliveryAddress
orderForm.noItems
Embracing Technology New technology and tools have emerged, such as reg- istration systems, survey platforms and analytics tools, that help streamline the data collection process. With these tools, you can gather insights more efficiently and effectively. Implementing a robust data manage- ment system across your departments can make a world of difference in keeping your data organized, easily accessible and secure. But keep in mind that no AI program or digital


platform can make the leap from data collection to decision-making. As Garcia pointed out, “Te biggest change I’ve seen is that over the past few decades, is that we’ve gone from having more people with fewer computers and hard technologies to having massive amounts of cloud-based information being stored, but fewer people who know how to take that data and turn it into usable information, making it readily available to decision-makers.” Once data is collected, the next step is to analyze


it to uncover valuable insights. Tis involves looking for and examining trends, patterns and correlations within the data. For example, analyzing camper and parent feedback can reveal common themes or areas for improvement in program offerings or facilities. Similarly, tracking retention patterns and camper demographic data can help camps identify opportuni- ties for targeted outreach and tailored programming. Make sure you approach data analysis with an


objective, open mind — the numbers will tell a story, but be prepared. Te story might be one you least expect or one you don’t even want to hear.


Schuette explained that part of her HR role is to


collect data on staff engagement and organizational health. “It’s hard to see the data and not try to hurry up and just fix the problems it reveals … we’ve done that at times, and we’ve seen it’s not the most effective way to use data,” she explained. “You either waste your time trying to solve the wrong problem or the rest of your staff feel like you’re not including them in the process. So, a key piece of analyzing the data is pausing to listen to your staff and asking them the right questions.” The tendency here is to assume your team mem-


bers will look at the data and come to the same insights as you. But every one of your staff brings a unique viewpoint and a treasure trove of experiences to your data, so bring them on board. More minds equals more data mining for insights. Te leap from mining data for insights to making


decisions and changes based on those insights is where a lot of leaders get stuck. It’s one thing to communicate your learnings to your staff, but it’s another beast entirely to decide what action items need to happen to address those discoveries. Maybe you need to refine your program offerings, adjust your staff recruitment strategy or invest more in facility improvements. Wherever the data insights lead you, make sure you


don’t drop the ball when it comes to communicating your decisions to your team and making actionable course corrections to realign to your mission and goals.


28


www.ccca.org September/October 2024


Photo courtesy of Camp Luther by Ellie Lutz


Page 1  |  Page 2  |  Page 3  |  Page 4  |  Page 5  |  Page 6  |  Page 7  |  Page 8  |  Page 9  |  Page 10  |  Page 11  |  Page 12  |  Page 13  |  Page 14  |  Page 15  |  Page 16  |  Page 17  |  Page 18  |  Page 19  |  Page 20  |  Page 21  |  Page 22  |  Page 23  |  Page 24  |  Page 25  |  Page 26  |  Page 27  |  Page 28  |  Page 29  |  Page 30  |  Page 31  |  Page 32  |  Page 33  |  Page 34  |  Page 35  |  Page 36  |  Page 37  |  Page 38  |  Page 39  |  Page 40  |  Page 41  |  Page 42  |  Page 43  |  Page 44  |  Page 45  |  Page 46  |  Page 47  |  Page 48  |  Page 49  |  Page 50  |  Page 51  |  Page 52  |  Page 53  |  Page 54  |  Page 55  |  Page 56  |  Page 57  |  Page 58  |  Page 59  |  Page 60  |  Page 61  |  Page 62  |  Page 63  |  Page 64  |  Page 65  |  Page 66  |  Page 67  |  Page 68