1. The next step is to save the data to the editable table 
2. Publish the data to the transformed table.
3. Data is looked up from the cost source to the transformed table.  

1. The next step is to save the data to the editable table 
2. Publish the data to the transformed table.
3. Data is looked up from the cost source to the transformed table.  

We don't use the full set of capabilities, i.e. we don't promote the data. We use it instead for simulation exercises:

We have a report that displays the number of servers related to an application. One column allows the application owner to enter a new number of servers, and the report will calculate the new monthly cost.
Apptio keeps the data (in PRD), but it updates nothing, nor does it trigger any calculation jobs.
For our use case, data is volatile, so we don't have to run it to the process as described by @Michael Enslein.

We don't use the full set of capabilities, i.e. we don't promote the data. We use it instead for simulation exercises:

We have a report that displays the number of servers related to an application. One column allows the application owner to enter a new number of servers, and the report will calculate the new monthly cost.
Apptio keeps the data (in PRD), but it updates nothing, nor does it trigger any calculation jobs.
For our use case, data is volatile, so we don't have to run it to the process as described by @Michael Enslein.

1. The next step is to save the data to the editable table 
2. Publish the data to the transformed table.
3. Data is looked up from the cost source to the transformed table.  

We don't use the full set of capabilities, i.e. we don't promote the data. We use it instead for simulation exercises:

We have a report that displays the number of servers related to an application. One column allows the application owner to enter a new number of servers, and the report will calculate the new monthly cost.
Apptio keeps the data (in PRD), but it updates nothing, nor does it trigger any calculation jobs.
For our use case, data is volatile, so we don't have to run it to the process as described by @Michael Enslein.

1. The next step is to save the data to the editable table 
2. Publish the data to the transformed table.
3. Data is looked up from the cost source to the transformed table.  

We don't use the full set of capabilities, i.e. we don't promote the data. We use it instead for simulation exercises:

We have a report that displays the number of servers related to an application. One column allows the application owner to enter a new number of servers, and the report will calculate the new monthly cost.
Apptio keeps the data (in PRD), but it updates nothing, nor does it trigger any calculation jobs.
For our use case, data is volatile, so we don't have to run it to the process as described by @Michael Enslein.

1. The next step is to save the data to the editable table 
2. Publish the data to the transformed table.
3. Data is looked up from the cost source to the transformed table.  

We don't use the full set of capabilities, i.e. we don't promote the data. We use it instead for simulation exercises:

We have a report that displays the number of servers related to an application. One column allows the application owner to enter a new number of servers, and the report will calculate the new monthly cost.
Apptio keeps the data (in PRD), but it updates nothing, nor does it trigger any calculation jobs.
For our use case, data is volatile, so we don't have to run it to the process as described by @Michael Enslein.

1. The next step is to save the data to the editable table 
2. Publish the data to the transformed table.
3. Data is looked up from the cost source to the transformed table.  

1. The next step is to save the data to the editable table 
2. Publish the data to the transformed table.
3. Data is looked up from the cost source to the transformed table.  

• Budget Variance Commentary - column to explain large variances
• Drive Allocations - labor allocations table upload, GL line item allocations (% split mappings), Cost Source to cost pool, tower mappings
• Capture Actual Volumes for BU consumption / chargeback - Table Upload feature for app/service owners to upload tables on the reporting surface
• Data Cleansing / Enhancement – GL - enter flags for re-postings; cleanse GL actuals then feed to ITP for accruals and reclass line items that are missing vendor/supplier info
• Reference Files for ApptioOne Plan / IT Planning  – used to maintain reference files shared with ITP
• Row Level Security – maintain permissions
• Service Catalog / Rate Management – maintain pricing information
• End User Insights – (new Apptio product) - enable end user device table maintenance
• Planning - capture # of planned labor hours
• Demand Planning - (new Apptio product) - capture the projected volume consumption

1. The next step is to save the data to the editable table 
2. Publish the data to the transformed table.
3. Data is looked up from the cost source to the transformed table.  

• Budget Variance Commentary - column to explain large variances
• Drive Allocations - labor allocations table upload, GL line item allocations (% split mappings), Cost Source to cost pool, tower mappings
• Capture Actual Volumes for BU consumption / chargeback - Table Upload feature for app/service owners to upload tables on the reporting surface
• Data Cleansing / Enhancement – GL - enter flags for re-postings; cleanse GL actuals then feed to ITP for accruals and reclass line items that are missing vendor/supplier info
• Reference Files for ApptioOne Plan / IT Planning  – used to maintain reference files shared with ITP
• Row Level Security – maintain permissions
• Service Catalog / Rate Management – maintain pricing information
• End User Insights – (new Apptio product) - enable end user device table maintenance
• Planning - capture # of planned labor hours
• Demand Planning - (new Apptio product) - capture the projected volume consumption

1. The next step is to save the data to the editable table 
2. Publish the data to the transformed table.
3. Data is looked up from the cost source to the transformed table.  

• Budget Variance Commentary - column to explain large variances
• Drive Allocations - labor allocations table upload, GL line item allocations (% split mappings), Cost Source to cost pool, tower mappings
• Capture Actual Volumes for BU consumption / chargeback - Table Upload feature for app/service owners to upload tables on the reporting surface
• Data Cleansing / Enhancement – GL - enter flags for re-postings; cleanse GL actuals then feed to ITP for accruals and reclass line items that are missing vendor/supplier info
• Reference Files for ApptioOne Plan / IT Planning  – used to maintain reference files shared with ITP
• Row Level Security – maintain permissions
• Service Catalog / Rate Management – maintain pricing information
• End User Insights – (new Apptio product) - enable end user device table maintenance
• Planning - capture # of planned labor hours
• Demand Planning - (new Apptio product) - capture the projected volume consumption

1. The next step is to save the data to the editable table 
2. Publish the data to the transformed table.
3. Data is looked up from the cost source to the transformed table.  

• Budget Variance Commentary - column to explain large variances
• Drive Allocations - labor allocations table upload, GL line item allocations (% split mappings), Cost Source to cost pool, tower mappings
• Capture Actual Volumes for BU consumption / chargeback - Table Upload feature for app/service owners to upload tables on the reporting surface
• Data Cleansing / Enhancement – GL - enter flags for re-postings; cleanse GL actuals then feed to ITP for accruals and reclass line items that are missing vendor/supplier info
• Reference Files for ApptioOne Plan / IT Planning  – used to maintain reference files shared with ITP
• Row Level Security – maintain permissions
• Service Catalog / Rate Management – maintain pricing information
• End User Insights – (new Apptio product) - enable end user device table maintenance
• Planning - capture # of planned labor hours
• Demand Planning - (new Apptio product) - capture the projected volume consumption

1. The next step is to save the data to the editable table 
2. Publish the data to the transformed table.
3. Data is looked up from the cost source to the transformed table.  

• Budget Variance Commentary - column to explain large variances
• Drive Allocations - labor allocations table upload, GL line item allocations (% split mappings), Cost Source to cost pool, tower mappings
• Capture Actual Volumes for BU consumption / chargeback - Table Upload feature for app/service owners to upload tables on the reporting surface
• Data Cleansing / Enhancement – GL - enter flags for re-postings; cleanse GL actuals then feed to ITP for accruals and reclass line items that are missing vendor/supplier info
• Reference Files for ApptioOne Plan / IT Planning  – used to maintain reference files shared with ITP
• Row Level Security – maintain permissions
• Service Catalog / Rate Management – maintain pricing information
• End User Insights – (new Apptio product) - enable end user device table maintenance
• Planning - capture # of planned labor hours
• Demand Planning - (new Apptio product) - capture the projected volume consumption

1. The next step is to save the data to the editable table 
2. Publish the data to the transformed table.
3. Data is looked up from the cost source to the transformed table.  

• Budget Variance Commentary - column to explain large variances
• Drive Allocations - labor allocations table upload, GL line item allocations (% split mappings), Cost Source to cost pool, tower mappings
• Capture Actual Volumes for BU consumption / chargeback - Table Upload feature for app/service owners to upload tables on the reporting surface
• Data Cleansing / Enhancement – GL - enter flags for re-postings; cleanse GL actuals then feed to ITP for accruals and reclass line items that are missing vendor/supplier info
• Reference Files for ApptioOne Plan / IT Planning  – used to maintain reference files shared with ITP
• Row Level Security – maintain permissions
• Service Catalog / Rate Management – maintain pricing information
• End User Insights – (new Apptio product) - enable end user device table maintenance
• Planning - capture # of planned labor hours
• Demand Planning - (new Apptio product) - capture the projected volume consumption

1. The next step is to save the data to the editable table 
2. Publish the data to the transformed table.
3. Data is looked up from the cost source to the transformed table.  

• Budget Variance Commentary - column to explain large variances
• Drive Allocations - labor allocations table upload, GL line item allocations (% split mappings), Cost Source to cost pool, tower mappings
• Capture Actual Volumes for BU consumption / chargeback - Table Upload feature for app/service owners to upload tables on the reporting surface
• Data Cleansing / Enhancement – GL - enter flags for re-postings; cleanse GL actuals then feed to ITP for accruals and reclass line items that are missing vendor/supplier info
• Reference Files for ApptioOne Plan / IT Planning  – used to maintain reference files shared with ITP
• Row Level Security – maintain permissions
• Service Catalog / Rate Management – maintain pricing information
• End User Insights – (new Apptio product) - enable end user device table maintenance
• Planning - capture # of planned labor hours
• Demand Planning - (new Apptio product) - capture the projected volume consumption

1. The next step is to save the data to the editable table 
2. Publish the data to the transformed table.
3. Data is looked up from the cost source to the transformed table.