How NCACPA Leverages Fast-Data скачать в хорошем качестве

How NCACPA Leverages Fast-Data

How NCACPA Leverages Fast-Data Association Analytics - Membership Retention - Data Analytics Solutions - Business Intelligence for Associations - How to Make Data Driven Decisions ------------------- Transcript: 0:00 you 0:09 [Music] 0:16 we actually historically are for last 0:19 few years had used tableau from a data 0:21 visualization perspective and we were 0:24 only able to get in a few a few of our 0:27 platforms a few of our data leads into 0:29 it so it it really wasn't a holistic 0:32 view to use Emilio's definition earlier 0:34 and that is critical for any 0:36 organization and so what we've done is 0:39 we've moved to Activant a cloud-based 0:41 platform using power bi and that has 0:47 opened up so many eyes on the adoption 0:49 side and it's it's just made gain a real 0:52 and especially the dashboards so we've 0:55 we've changed to that and we're in the 0:58 process of getting every data feed 1:00 possible looped into it so now to to 1:03 Kristen I think you'd said something 1:05 earlier about you know some of the 1:07 customer or member sentiment not like 1:09 your connect communities and how does 1:11 that live in with maybe the demographics 1:12 of where they are where they work how 1:14 old they are 1:15 et cetera that is exactly what we're 1:17 building because you need to know that 1:19 information and then act you know that 1:21 helps back what we're really concerned 1:24 with especially as we look at the 1:27 economic impact of kovat is really 1:29 tracking in real time what is was our 1:31 membership renewal trends to life and 1:33 getting under the demographic level and 1:35 so that we can dovetail that in with 1:37 what are we seeing on our connect 1:39 platform is there a certain demographics 1:41 or an industry or organization type that 1:44 we're not seeing the same renewal 1:46 threads and then we can either get out 1:48 it's maybe some tailored marketing to 1:51 them right away program a cetera we're 1:55 making financial decisions right now for 1:58 a shorter period of time because we are 2:00 relying on that vast data to give us 2:03 some information in the near future that 2:06 will help us determine what what 2:08 decisions do we need to make you know 2:10 three to six months down the road and 2:11 historically you know 2:13 we would have to make a decision now for 2:15 something that's gonna happen in 2:16 December and we you know we would have 2:18 no idea what's gonna happen so the fact 2:20 that we have that date again we aren't 2:23 pigeon holing ourselves into making some 2:25 of these decisions that are going to 2:26 have long-term ramifications we can take 2:29 smaller more manageable bite sized 2:31 chunks make a decision over that period 2:33 wait see what the data comes in make 2:35 some decisions take some action and then 2:38 make subsequent decisions off of that so 2:41 that's how we're using especially in the 2:43 current environment to help ourselves 2:53 you