Configure the Datamart
Configure the Datamart for a successful execution of the Datamart Extraction job. The job is required to run on a regular schedule for the successful operation of
Clarity PPM. As a business user, you can also write custom reports against the Datamart schema.
The Datamart supports the following types of reporting information and services:
- Fiscal or annual calendar periods.
- Easily understood roll-up tables.
- Alerts (stoplights) and trending analysis.
- Protection from transaction database schema changes (when you customize reports or implement business intelligence applications).
- Multiple OBS types that enable multiple views of resource and project data (combined or viewed individually).
Examples: Extracting Data by OBS
- The default OBS location type is the USA unit. If a project is not associated with any OBS location, USA is used in the datamart extraction. If a project is associated with another OBS location type (for example, the Germany OBS location), then that OBS location type is used in the datamart extraction.
- You can also specify a default OBS unit to use for projects and resources that are not assigned to an OBS type.
Verify the Prerequisites
Complete the following prerequisites before setting up the Datamart:
- Verify that you have an understanding of the Datamart and what it includes.
- Verify that you have read a description of the Datamart Extraction job and understand the requirements and restrictions for running this job.
- Set up a financial entity to associate with the Datamart. The Datamart uses the monthly fiscal time periods that are defined for the entity.
- Set up the system currency. For a multi-currency setup, set up all supported currencies.
- Verify that the "Include in Datamart" setting is selected for resources and roles that must be included in the Datamart extraction. The setting is selected by default when you create the resources or roles.
- For the Datamart Extraction job to complete successfully, define at least one OBS associated with the Project and Resource objects.
If you are using Financial Management and you want to see accurate data within the Datamart, complete the following tasks:
- Update time slices for the successful population of various types of sliced data such as actuals, estimates, allocations.
- Set up the Rate Matrix Extraction job to populate the financial tables of the Datamart.
- Set up Timesheets because actuals come from posted timesheets.
(Optional) Enable Parallel Processing for the Datamart (Microsoft SQL Server)
Enabling parallel processing can improve the performance of portions of the Datamart by setting them up to run in parallel. If the database server has more than one CPU available, you can use Microsoft SQL Server Enterprise Manager to start a Microsoft SQL Server Agent process.
The Datamart extraction is extremely I/O intensive because it detects incremental changes in the transactional tables and then writes those changes to the Datamart reporting tables. In a typical customer environment, there is enough CPU power to launch multiple parallel processes to access the disks in parallel, therefore minimizing the overall Datamart runtimes.
Follow these steps:
- Use the system administration account to log into Microsoft SQL Server Enterprise Manager and expand the sub-menu item of Management.
- To start the Microsoft SQL Server Agent process, right-click SQL Server Agent and select Start.If desired, you can set additional options using the Properties palette. However, the Datamart does not rely on options that are contained in the Palette.
Configure the Datamart Settings
Verify the following settings for the Datamart, before running it the first time:
- Datamart currency and entity
- OBS types
- Data extraction options
Follow these steps:
- Open Administration, and from Data Administration, click Datamart Settings.
- In the Datamart Currency section, complete the following field and save:
- Datamart CurrencySpecifies the currency for the financial data in the Datamart.
- In the Datamart Entity section, complete the following field, and save:
- Datamart EntityDefines the name of the Datamart entity. The Datamart Extraction job uses the active monthly fiscal time periods that are associated with the entity.
- In the Customization of Datamart Extraction section, select the appropriate options:
- Extract project management time facts and summaryIndicates if project management time facts and summary information is extracted when the Datamart Rollup - Time Facts and Time Summary job runs.
- Extract financial management time facts and summaryIndicates if financial management time facts and summary information are extracted when the Datamart Rollup - Time Facts and Time Summary job runs.
- Extract resource time facts and summaryIndicates if resource time facts and summary information are extracted when the Datamart Rollup - Time Facts and Time Summary job runs.
- Create a project and resource OBS mapping. In the Project Organizational Breakdown Structure Mapping, or the Resource Organizational Breakdown Structure Mapping section, click New.Select at least one OBS unit for both the Project and Resource objects for the Datamart Extraction job to complete successfully.
- On the Organizational Breakdown Structure Mapping page, complete the following fields:
- OrderDisplays the order in which the OBS units are configured in the Datamart settings.
- OBSDisplays the OBS type that is selected for the OBS configurations. You can select one OBS unit for each OBS type that is associated with the project and resource objects. The maximum number of OBS types that you can select for configuration on the Datamart settings is five.
- Default OBS UnitDefines the default OBS unit. Provides a "holding bucket" for all those projects and resources that do not have the respective OBS type assigned. The field displays the full path of the OBS unit that you selected.
Set Up Time Slices for the Datamart
Before you run a Datamart job, define the time slices that indicate increments of data.
Each time slice request that you define specifies the objects and fields, the slicing frequency, and the granularity to store the data. Once defined, the Time Slicing job extracts data and displays a readable flat table that is based on the defined criteria. You can then query the time slice to run reports.
The following default time slices are used in the Datamart:
- DAILYRESOURCEACTCURVE (ID=2)
- DAILYRESOURCEESTCURVE (ID=3)
- DAILYRESOURCEAVAILCURVE (ID=1)
- DAILYRESOURCEBASECURVE (ID=11)
- DAILYRESOURCEALLOCCURVE (ID=10)
Although you do not need to create new slice definitions, verify that the default slice definitions are set up properly. For example, you can edit an existing time slice to ensure that the date ranges are applicable. Also, set the From Date of the slice definition to the first day of the month and at least a minimum of three months before the current month.
Schedule and Run the Datamart Extraction Job
For successful operation of the product, execute the Datamart Extraction job on a regular schedule. The job executes a stored procedure to populate the tables that are needed for:
- OBS references
- All non-fiscal time-scaled varying (TSV) grids
- All fiscal TSV grids and financial processing
The Datamart rollup jobs depend on the successful extraction of data by the Datamart Extraction job.
Best Practice:Run the job daily and schedule it to run during off-peak hours. Based on the volume of data to extract, the time and system resources that are required to process the request can be significant.
Follow these steps:
- Open Home, and from Personal, click Reports and Jobs.
- Open the Jobs menu, and click Available Jobs.
- Click the Datamart Extraction job.
- Complete the requested information. The following sections require explanation:
- GeneralEdit the job name. For scheduled runs, you can change the name to distinguish each instance of a run. For submitted scheduled job entries, a read-only job ID and status are displayed.
- ParametersSet the parameters as desired. This section appears only if your system administrator defined the parameters. Click Save Parameters to save the defined set of parameters for reuse. The saved parameters display in the list on the Available Jobs list page below the job type from which it is based.
- WhenDefines the interval at which the job runs. Select Scheduled to run the job later. To run the job at a recurring time, click the Set Recurrence link.You can also set the recurrence of a scheduled job using the UNIX Crontab. To use crontab, select Use UNIX Crontab Entry Format and enter the schedule. For example, the following entry indicates that the job runs at midnight on the 1st and 15th of every month.0 0 1,15 * *You can use the Crontab option on Windows, Linux, and UNIX operating systems where theClarity PPMinstance is running. When you use this option, the scheduled configuration takes the time of the server system running theClarity PPMinstance.Note: For more information about the UNIX Crontab format and special character usage, see your Oracle Documentation.
- Submit your changes.
The Datamart extracts project, financial, and resource management data from
Clarity PPM. The Datamart delivers a number of stock high-performance reports. Datamart reports provide excellent performance when compared to other reports because of the reduced query complexity and flattened table structures. You can also write reports against the Datamart schema.
The Datamart provides the following:
- Project and resource data points
- Data based on fiscal or calendar periods and OBS
- Data that is aggregated and stored in an easily understood roll-up tables
- Support for alerts (stoplights) and trending analysis
- Protection from transaction database schema changes (when you customize reports or implement business intelligence applications)
The Datamart also:
- Extracts data from the transactional system into the NBI_DIM% dimension tables
- Extracts project, financial, and resource management data from the transactional system into the NBI% Datamart tables
- Rolls up project and resource data into the NBI%TIME_SUMMARY summary tables
Set up a Datamart Extraction job to run daily. Extract data from the transactional database tables and store them in the Datamart reporting tables. Once data for a project or resource is extracted into the Datamart, the data is automatically refreshed during subsequent Datamart extraction jobs. The Datamart job extracts changes from the last job. Any changes that you make to OBS units and their hierarchies are automatically reflected in the Datamart tables each time the Datamart Extraction job runs.
The Datamart Extraction job uses many system resources. For best results, run the job once daily during periods of low, or no user activity and avoid peak system hours.
The Datamart has the following jobs:
- Rate Matrix ExtractionExtracts rate matrix data. Run the job each time you change the rate matrix or a project financial properties.Frequency:Optional or run daily before the Datamart Extraction job
- Datamart ExtractionExtracts data from transactional database tables and stores them in reporting tables. The tables are the foundation of most stock reports and some custom reports.The job cannot be run simultaneously as the Import Financial Actuals job.Frequency:Daily
- Datamart Rollup - Time Facts and Time SummaryThe time facts and summary job display in the following time tables:
Datamart Extractionjob. Also, run it when a custom report depends on the output of any of the time tables.Frequency:Daily.For best results, schedule the Time Slicing job before you run the Datamart Extraction job. The Datamart extraction gets data from the time slice table.
See the support KB article: TEC610968 for information about the Datamart Extraction and Datamart Rollup jobs.
Datamart Table Descriptions
The following table contains high-level descriptions of the Datamart tables. The tables do not capture historical changes in resource, project, and task properties. All data is captured with current property values. For example, if a resource department OBS is changed, the next time you run the Datamart jobs, the tables are populated with the currently saved department OBS value for all periods.
Table (T) or View (V)
Resource, project, and task information (including resource ID, project ID, task ID) available per day.
Project management and accounting information available as-of-today.
Project management time-sliced information (including the project ID) available for calendar weeks and months.
Financial management and time-sliced information (including project ID) available for fiscal months only.
Project management and roll-up information (OBS and calendar hierarchy, no project IDs) available by calendar weeks, months, quarters, and years.
Financial management and roll-up information (OBS and fiscal calendar hierarchy, no project IDs) available by fiscal periods, quarters, and years.
Roll up resource (including resource ID) information available per day.
Resource time-sliced information (including the resource ID) available for calendar weeks and months.
Roll-up resource information (excluding resource ID) available for calendar week, months, quarters, and years. Summary information grouped by Datamart resource OBS unit. Count of internal and external resources. Totals for available hours, actual hours, baseline hours, ETC hours, and allocated hours.
Calendar information that sets up the weekly periods to start on a Monday. See support KB article: TEC435578 for more information
Stoplights let you flag projects that meet certain criteria. For example, use a red stoplight to flag all projects with actual hours that are greater than or equal to budgeted hours. You can store up to 15 stoplights in the NBI_PROJECT_CURRENT_FACTS (STOPLIGHT_1 through STOPLIGHT_15) table.
Stoplight values are as follows:
- one (1) = green
- two (2) = yellow
- three (3) = red
Stoplight conditions are defined using ANSI SQL and include only columns that are provided in the NBI_PROJECT_CURRENT_FACTS table.
- A project that is less than 90 percent complete:PCT_COMPLETE < 90
- More than 50 tasks remain open:PCT_COMPLETE < 90
- Actual hours are 95 percent of budgeted hours or greater:ACTUAL_HOURS > (0.95 * BUDGET_HOURS)
- Actual equipment costs exceed labor cost:COST_ACT_EQUIP > COST_ACT_LAB
Create Datamart Stoplights
You can create datamart stoplights to flag projects that meet certain criteria.
Follow these steps:
- Open Administration, and from Data Administration, click Datamart Stoplights.
- Click New.
- Complete the following fields, and save
No green SQL rule exists. A stoplight is green when both the red and yellow stoplights evaluate to false.
- NameDefines the name for the stoplight.Examples:Project on Target, Project Over Budget, or Resource Overbooked.
- DescriptionDefines the description for the stoplight.Limits:256 characters
- Red SQL RuleDefines the SQL formula that defines the red stoplight.
- Yellow SQL RuleDefines the SQL formula that defines the yellow stoplight.