def _load_consultancy_facilities_sme(df):
    """_load_consultancy_facilities_sme
    
    Args:
        df (pd.DataFrame): Services income table from HESA (table-2a).

    Returns:
        df (pd.DataFrame): Consultancy and facilities income from SMEs.
    """
    df = df[df['Unit'] == '£000s']
    df = df[
        (df['Type of organisation'] == "SME's") 
        & ((df['Type of service'] == 'Facilities and equipment related')
            | (df['Type of service'] == 'Consultancy'))]
    df['Value'] = (df['Value'] * 1000).astype(int)
    return df