diff --git a/etl/eligibility/ha_15_32/ha_analysis_batch_3.py b/etl/eligibility/ha_15_32/ha_analysis_batch_3.py
index b954a651..3ded09ba 100644
--- a/etl/eligibility/ha_15_32/ha_analysis_batch_3.py
+++ b/etl/eligibility/ha_15_32/ha_analysis_batch_3.py
@@ -398,6 +398,8 @@ class DataLoader:
             return "CIGA Checks"
         elif "CIGA checks" in workbook.sheetnames:
             return "CIGA checks"
+        elif "CIGA check" in workbook.sheetnames:
+            return "CIGA check"
         else:
             return "CIGA"
 
@@ -1318,14 +1320,16 @@ class DataLoader:
             "ECO4 A/W": "ECO4",
             "ECO4 GBIS (ECO+)": "GBIS",
             "ECO4 GBIS (ECO+) JJC UNDER 73m²": "GBIS",
-            "ECO4 AFFORDABLE WARMTH": "ECO4"
+            "ECO4 AFFORDABLE WARMTH": "ECO4",
+            "Affordable Warmth": "ECO4"
         }
 
         eco_eligibility_map = {
             "not eligble": "not eligible",
             "eco 4(subject to ciga)": "eco4 (subject to ciga)",
             "eco4 (subject to ciga/archetype check": "eco4 (subject to ciga)",
-            "eco4 (subject to archetype check)": "eco4"
+            "eco4 (subject to archetype check)": "eco4",
+            "eco4 (subject to ciga/archetype)": "eco4 (subject to ciga)",
         }
 
         ha_facts_and_figures = []
@@ -1384,46 +1388,56 @@ class DataLoader:
             sales_report = {}
             if not survey_list.empty:
                 scheme_column = survey_list.columns[0]
-                # We clean up the survey list installation or cancelled
-                survey_list["installed_or_cancelled_clean"] = survey_list["INSTALLED OR CANCELLED"].str.lower()
-                # Remove all punctuation
-                survey_list["installed_or_cancelled_clean"] = survey_list["installed_or_cancelled_clean"].str.replace(
-                    r'[^\w\s]', '', regex=True
-                )
-                # Remove double spaces
-                survey_list["installed_or_cancelled_clean"] = survey_list["installed_or_cancelled_clean"].str.replace(
-                    r'\s+', ' ', regex=True
-                )
-                # Remove trailing spaces
-                survey_list["installed_or_cancelled_clean"] = survey_list["installed_or_cancelled_clean"].str.strip()
-
                 # Remap the values in the scheme column
                 survey_list[scheme_column] = survey_list[scheme_column].replace(scheme_map)
+                # We clean up the survey list installation or cancelled
+                if "INSTALLED OR CANCELLED" in survey_list.columns:
+                    survey_list["installed_or_cancelled_clean"] = survey_list["INSTALLED OR CANCELLED"].str.lower()
+                    # Remove all punctuation
+                    survey_list["installed_or_cancelled_clean"] = survey_list[
+                        "installed_or_cancelled_clean"].str.replace(
+                        r'[^\w\s]', '', regex=True
+                    )
+                    # Remove double spaces
+                    survey_list["installed_or_cancelled_clean"] = survey_list[
+                        "installed_or_cancelled_clean"].str.replace(
+                        r'\s+', ' ', regex=True
+                    )
+                    # Remove trailing spaces
+                    survey_list["installed_or_cancelled_clean"] = survey_list[
+                        "installed_or_cancelled_clean"].str.strip()
 
-                survey_list["installation_status"] = None
-                survey_list["installation_status"] = np.where(
-                    survey_list["installed_or_cancelled_clean"].isin(["installed", "installed see notes"]),
-                    "installed",
-                    survey_list["installation_status"]
-                )
-                survey_list["installation_status"] = np.where(
-                    survey_list["installed_or_cancelled_clean"].isin(["cancelled"]),
-                    "cancelled",
-                    survey_list["installation_status"]
-                )
-                # Find partial installations
-                survey_list["installation_status"] = np.where(
-                    survey_list["installed_or_cancelled_clean"].str.contains("still to be installed"),
-                    "partially installed",
-                    survey_list["installation_status"]
-                )
-                # Find partial cancellations
-                # TODO: We might have more indications of partial cancellations
-                survey_list["installation_status"] = np.where(
-                    survey_list["installed_or_cancelled_clean"].isin(["loft cancelled"]),
-                    "partially cancelled",
-                    survey_list["installation_status"]
-                )
+                    survey_list["installation_status"] = None
+                    survey_list["installation_status"] = np.where(
+                        survey_list["installed_or_cancelled_clean"].isin(["installed", "installed see notes"]),
+                        "installed",
+                        survey_list["installation_status"]
+                    )
+                    survey_list["installation_status"] = np.where(
+                        survey_list["installed_or_cancelled_clean"].isin(["cancelled"]),
+                        "cancelled",
+                        survey_list["installation_status"]
+                    )
+                    # Find partial installations
+                    survey_list["installation_status"] = np.where(
+                        survey_list["installed_or_cancelled_clean"].str.contains("still to be installed"),
+                        "partially installed",
+                        survey_list["installation_status"]
+                    )
+                    # Find partial cancellations
+                    # TODO: We might have more indications of partial cancellations
+                    survey_list["installation_status"] = np.where(
+                        survey_list["installed_or_cancelled_clean"].isin(["loft cancelled"]),
+                        "partially cancelled",
+                        survey_list["installation_status"]
+                    )
+                else:
+                    # We have some examples, e.g. HA28, where we do not have the installed or cancelled column
+                    survey_list["installation_status"] = np.where(
+                        survey_list['INSTALL/ CANCELLATION DATE'].str.lower().str.contains("cancelled"),
+                        "cancelled",
+                        "installed",
+                    )
 
                 # Finally, for other cases, we set the status to "in progress"
                 survey_list["installation_status"] = survey_list["installation_status"].fillna("in progress")