# data[].attributes.headline
Quantity supplied matches the quantity ordered and each line of the order has been supplied.

# data[].attributes.subject
Quantity supplied matches the quantity ordered and each line of the order has been supplied.

# data[].attributes.headline
Inaccurate deliveries as a percentage of total no. of deliveries for period.

# data[].attributes.subject
Inaccurate deliveries as a percentage of total no. of deliveries for period.

# data[].attributes.headline
Time in detailed checking of all orders. Orders may be delayed if part-orders will not be accepted.

# data[].attributes.subject
Time in detailed checking of all orders. Orders may be delayed if part-orders will not be accepted.

# data[].attributes.headline
Quantity and quality supplied matches the quantity ordered and each line of the order has been supplied in full, on time and to the correct standard/quality. 

# data[].attributes.subject
Quantity and quality supplied matches the quantity ordered and each line of the order has been supplied in full, on time and to the correct standard/quality. 

# data[].attributes.headline
Quantity delivered matches quantity ordered. Recording number of rejections and showing percentage against number of goods delivered.

# data[].attributes.subject
Quantity delivered matches quantity ordered. Recording number of rejections and showing percentage against number of goods delivered.

# data[].attributes.headline
supplier delivers exactly what is ordered

# data[].attributes.subject
supplier delivers exactly what is ordered

# data[].attributes.headline
Quality and quantity of what is ordered, matches what was delivered. 

# data[].attributes.subject
Quality and quantity of what is ordered, matches what was delivered. 

# data[].attributes.headline
Supplier fulfilled order quantity in full 

# data[].attributes.subject
Supplier fulfilled order quantity in full 

# data[].attributes.headline
May be over processing by having inspection on quantity and quality at delivery. Could be captured at multiple stages of process and may not be an issue that needs resolved.

# data[].attributes.subject
May be over processing by having inspection on quantity and quality at delivery. Could be captured at multiple stages of process and may not be an issue that needs resolved.

# data[].attributes.headline
Risk - loss of sales if not accepting partial deliveries. 

# data[].attributes.subject
Risk - loss of sales if not accepting partial deliveries. 

# data[].attributes.headline
Total number of calls answered within 30 seconds / Average time to answer call

# data[].attributes.subject
Total number of calls answered within 30 seconds / Average time to answer call

# data[].attributes.headline
Answer service will collate time taken to answer calls. System collection

# data[].attributes.subject
Answer service will collate time taken to answer calls. System collection

# data[].attributes.headline
Look at % of calls answered within 30 seconds

# data[].attributes.subject
Look at % of calls answered within 30 seconds

# data[].attributes.headline
Amount delivered matches PO. Measured by goods receipt note  

# data[].attributes.subject
Amount delivered matches PO. Measured by goods receipt note  

# data[].attributes.headline
If not answering in KPI timeframe then you may have to hire more staff / Creating more stress for staff to improve on timeframe when it's not needed

# data[].attributes.subject
If not answering in KPI timeframe then you may have to hire more staff / Creating more stress for staff to improve on timeframe when it's not needed

# data[].attributes.headline
Loss of business due to time consuming tasks. Risk - delivered within a very specific time period due to quality issues. 

# data[].attributes.subject
Loss of business due to time consuming tasks. Risk - delivered within a very specific time period due to quality issues. 

# data[].attributes.headline
Calls must be answered within 30 seconds. 

# data[].attributes.subject
Calls must be answered within 30 seconds. 

# data[].attributes.headline
Risks - loss of sales, if not answering within certain time. Staff consequences. Culture of speed over service. Monetary fines for not meeting targets.

# data[].attributes.subject
Risks - loss of sales, if not answering within certain time. Staff consequences. Culture of speed over service. Monetary fines for not meeting targets.

# data[].attributes.headline
Collate all calls and analyse percentage of calls answered within 30 secs

# data[].attributes.subject
Collate all calls and analyse percentage of calls answered within 30 secs

# data[].attributes.headline
Recorded through Health and Safety Log book - Health & Safety at work Act 1974 / ISO18001

# data[].attributes.subject
Recorded through Health and Safety Log book - Health & Safety at work Act 1974 / ISO18001

# data[].attributes.headline
Risk - loss of business and damaged reputation. Culture - Could be affected due to the toxic nature of the environment 

# data[].attributes.subject
Risk - loss of business and damaged reputation. Culture - Could be affected due to the toxic nature of the environment 

# data[].attributes.headline
Amount of reported accidents within one month 

# data[].attributes.subject
Amount of reported accidents within one month 

# data[].attributes.headline
Lost days at work / Health & Safety Exec Fines & Jail 

# data[].attributes.subject
Lost days at work / Health & Safety Exec Fines & Jail 

# data[].attributes.headline
Accident Log - This can vary between minor and severe 

# data[].attributes.subject
Accident Log - This can vary between minor and severe 

# data[].attributes.headline
H & S can shut down the site resulting in financial penalties 

# data[].attributes.subject
H & S can shut down the site resulting in financial penalties 