Lors de l'installation de l'application CRM Analytics avec Predict Client Churn Risk for Wealth Management Analytics, il est possible de rencontrer l'erreur suivante :
'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.'
Pour pouvoir installer l'application, nous devons vérifier qu'au moins 100 enregistrements de compte contiennent des valeurs dans le champ Fréquence de révision (Nom d'API : FinServ__ReviewFrequency__c).
Lorsque les prérequis sont remplis, procédez comme suit :
1. Accédez au Lanceur d'application et recherchez l'application Analytics Studio.
2. Accédez à Connexions.
3. Exécutez Data Sync pour l'objet Compte.
4. Lorsque la synchronisation est terminée, réinstallez l'application CRM Analytics avec Predict Client Churn Risk for Wealth Management Analytics.
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