Association Analytics Blog

Data Informs Decisions: ASAE and Association Analytics Aim to Predict Engagement

Aug 16, 2018 5:48:09 PM / by Association Analytics Contributor posted in Data Visualization, Data Analytics for Associations, innovation, Member Engagement, Predictive Analytics, Reporting tools, Strategy

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ASAE’s goal was to bring all member engagement data together for cross analysis to build a rich picture of overall engagement and participation. ASAE uses multiple systems—AMS, email marketing, and online community, among others—to collect member data, but it couldn’t compare or analyze valuable member activity across systems. There was no clear way to track retention, understand satisfaction, or analyze member engagement. ASAE partnered with Association Analytics to integrate all data into a consolidated architecture for analysis. Connecting the Higher Logic community platform, branded as “Collaborate,” is the latest addition to this long-term project.

Both organizations got to work consolidating ASAE’s data from all the different systems. There was preexisting data available using visualizations with Tableau and Power BI. Association Analytics developed an integration with Higher Logic’s Activity Sync to bring community activity data into its data platform, Acumen, in near real time, where it’s linked to member data from ASAE’s multiple systems. Additional data includes community membership and discussion content for text analysis. This will enable future plans to automatically categorize discussions and derive other valuable information.

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Case Study: Analyzing Member Engagement - How ASAE Captured the Unicorn

Aug 14, 2018 1:02:09 PM / by Caitlin Struhs, Higher Logic posted in Data Visualization, Data Analytics for Associations, innovation, Member Engagement, Predictive Analytics, Reporting tools, Strategy

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The American Society of Association Executives (ASAE) uses multiple systems—AMS, email marketing, and online community, among others—to collect member data, but it couldn’t compare or analyze valuable member activity across systems. There was no clear way to track retention, understand satisfaction, or analyze member engagement.

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Tableau's R Integration

Jan 31, 2017 1:09:14 PM / by Tamsen Haught posted in R, Predictive Analytics, Tableau, Uncategorized

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Ever wondered how data scientists and data analysts use Tableau for predictive analytics? The ability to integrate R into Tableau is powerful functionality. For those familiar with using R, it can be tricky to get started. Here's how to get started with the R Integration.

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Top Posts of 2016

Jan 4, 2017 10:39:19 AM / by Debbie King posted in Predictive Analytics, Tableau

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We looked at our Google Analytics data to bring you our most popular blog posts from 2016 based on total hits. If you missed these popular posts, here's another chance to read them.

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Five Advanced Analytics Ideas for Associations

Dec 29, 2016 10:19:00 AM / by Tori Liu posted in Predictive Analytics

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At the ASAE Technology Conference this past month, Kelly Baker (Chief Analytics Officer at Association Analytics®) and Galina Kozachenko (Director, Strategic Data Analytics, Association for Financial Professionals) presented a fascinating session on advanced analytics.

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How Your Association Can Implement Propensity Modeling

Aug 29, 2016 10:59:52 PM / by Matt Lesnak posted in data mining, Data Analytics for Associations, Predictive Analytics, Association Analytics

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Last week, we introduced you to Propensity Modeling and how it can help your association make data-guided decisions while providing great value to your customers. We'll now dig into some of the technical detail and steps to implement Propensity Modeling.

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Using Propensity Modeling to Drive Revenue and Increase Engagement

Aug 22, 2016 8:53:19 AM / by Tamsen Haught posted in Member Engagement, Predictive Analytics

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At the 2016 ASAE Annual Meeting & Expo, Gwen Fortune-Blakely (Enterprise-wide Marketing Director) and Leslie Katz ( Marketing Director) with the American Speech-Language-Hearing Association (ASHA) presented an amazing session on how ASHA is using propensity modeling to move people up the continuum of engagement to drive revenue and membership. Here's a quick overview of what you need to know about propensity modeling and how it can help your association.

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Don’t Be Afraid to Ask ‘What If?’

Jul 18, 2016 11:01:52 PM / by Matt Lesnak posted in Data Visualization, Data Discovery, Predictive Analytics, Association Analytics

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The oft-cited Gartner image depicting an analytics maturity model shows different forms of analytics that associations can use to understand customers and make decisions with confidence. We’ve previously discussed how Predictive Analytics can provide valuable insight into your association business, but how can you move towards Prescriptive Analytics to answer ‘how can we make it happen?’ One way to get there is through "What-if" Analysis.

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How to Harness the Power of Recommendation

Apr 18, 2016 5:27:56 PM / by Matt Lesnak posted in data mining, R, Data Analytics for Associations, Data Discovery, Member Engagement, Predictive Analytics, Association Analytics

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Taking a customer-focused approach to data analytics helps provide optimal value, enhance engagement and understand the overall customer journey. Individuals' actions provide valuable information that goes further than what is collected with surveys and online profiles. Additionally, actions uncover hidden patterns that can be used to build a recommendation system to guide customers toward other interests.

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A Beginner's Guide to Analysis with R

Apr 4, 2016 9:00:46 AM / by Tamsen Haught posted in R, Predictive Analytics, Business Intelligence

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Many associations want to do more advanced analytics projects using R — a programming language used for statistics — but are not sure how to start.

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