diff --git a/UseCases/AnomalyDetection_OutstandingAmount_FS/AnomalyDetection_OutstandingAmount_FeatureStore.ipynb b/UseCases/AnomalyDetection_OutstandingAmount_FS/AnomalyDetection_OutstandingAmount_FeatureStore.ipynb
index a62ba774..db49cf73 100644
--- a/UseCases/AnomalyDetection_OutstandingAmount_FS/AnomalyDetection_OutstandingAmount_FeatureStore.ipynb
+++ b/UseCases/AnomalyDetection_OutstandingAmount_FS/AnomalyDetection_OutstandingAmount_FeatureStore.ipynb
@@ -681,7 +681,7 @@
     "from sqlalchemy import func\n",
     "source_efs = input_source.merge(right=nb_points_efs, how='inner', on = 'Account_ID', lsuffix = 't1', rsuffix = 't2')\n",
     "source_efs = source_efs.assign(drop_columns=True,\n",
-    "                               Account_ID = source_efs.Account_ID_t1,\n",
+    "                               Account_ID = source_efs.t1_Account_ID,\n",
     "                               Balance_Date = source_efs.Balance_Date,\n",
     "                               Monthly_Balance = source_efs.Monthly_Balance)\n",
     "\n",
@@ -867,7 +867,7 @@
     "# input_zscore_source = source_data[source_data.Balance_Date == business_date]\n",
     "source_zscore = input_zscore_source.merge(right=mean_std_efs, how='inner', on = [\"ACCOUNT_ID = Account_ID\"], lsuffix = 't1', rsuffix = 't2')\n",
     "source_zscore = source_zscore.assign(drop_columns=True,\n",
-    "                               Account_ID = source_zscore.ACCOUNT_ID_t1,\n",
+    "                               Account_ID = source_zscore.t1_ACCOUNT_ID,\n",
     "                               Z_SCORE = (source_zscore.Monthly_Balance-source_zscore.MEAN_MONTHLY_BALANCE)\n",
     "                                                       /source_zscore.STD_MONTHLY_BALANCE.nullifzero())\n",
     "anomaly_dev = source_zscore.assign(ANOMALY_FLAG = case([(source_zscore.Z_SCORE.abs() > 3, 1)], else_ = 0) )\n",