When trying to install the Predict Client Churn Risk for Wealth Management CRM Analytics App sometimes user may encounter an error as below:
'Successfully created folder [Predict - Risk for Wealth Man] with id [00lV40000005xCLIAY]
Successfully created dataset [FSC_Account_ED].
Dataflow connector sync complete
Successfully created resource type [workflow], label [Predict - Risk for Wealth Man ED Dataflow ].
Dataflow plan [0ePV40000017f2fMAA] completed with status [Success].
wave.template.AssemblyValidationException: Discovery Story Extension failed to parse ErrorMessage: 500 Server Error Cannot invoke "java.util.Map.get(Object)" because the return value of "java.util.Map.get(Object)" is null url: /v58.0/discovery/datasets/0FbV4000000YkZtKAK/0FcV4000008MMN4KAO/setup , payload: {"template":{"outcome":{"type":"text","name":"Is_Churn","displayName":"Is_Churn","success":"True","failure":"False","goal":"Minimize"},"fields":[{"type":"text","name":"FinServ__InvestmentExperience__c"},{"type":"text","name":"FinServ__InvestmentObjectives__c"},{"type":"text","name":"FinServ__MarketingSegment__c"},{"type":"text","name":"FinServ__ReviewFrequency__c"},{"type":"text","name":"FinServ__RiskTolerance__c"},{"type":"text","name":"FinServ__TimeHorizon__c"},{"type":"number","name":"FinServ__AUM__c"},{"type":"number","name":"FA.Performance1Yr"},{"type":"number","name":"FA.Performance3Yr"},{"type":"number","name":"FA.PerformanceMTD"},{"type":"number","name":"FA.PerformanceQTD"...
Creating application [Predict - Risk for Wealth Man] failed.'
To successfully install the app, we need to ensure that there are at least 100 account records with values populated in the Review Frequency field (API Name: FinServ__ReviewFrequency__c).
Once the prerequisite is met, please follow these steps:
1. Go to App Launcher search for 'Analytics Studio' app.
2. Navigate to Connections.
3. Run Data Sync for the Account object.
4. After the sync is successful, attempt to install the Predict Client Churn Risk for Wealth Management CRM Analytics App again.
003876598

We use three kinds of cookies on our websites: required, functional, and advertising. You can choose whether functional and advertising cookies apply. Click on the different cookie categories to find out more about each category and to change the default settings.
Privacy Statement
Required cookies are necessary for basic website functionality. Some examples include: session cookies needed to transmit the website, authentication cookies, and security cookies.
Functional cookies enhance functions, performance, and services on the website. Some examples include: cookies used to analyze site traffic, cookies used for market research, and cookies used to display advertising that is not directed to a particular individual.
Advertising cookies track activity across websites in order to understand a viewer’s interests, and direct them specific marketing. Some examples include: cookies used for remarketing, or interest-based advertising.