Difference between revisions of "Reporting Tool"
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The reports are used for strategic decisions and potentially for smart data based services. | The reports are used for strategic decisions and potentially for smart data based services. | ||
| − | [[File:Reporting_phases.png| | + | [[File:Reporting_phases.png|border|center|800px|Reporting phases]] |
=== Use cases === | === Use cases === | ||
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* trigger for performance analysis and measurements | * trigger for performance analysis and measurements | ||
* Smart services based on aggregated data | * Smart services based on aggregated data | ||
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| + | [[File:Reporting_usecases.png|border|center|800px|Reporting usecases]] | ||
=== Enablers === | === Enablers === | ||
| + | * drill down to individual message and its state (new) | ||
| + | * aggregate data and hand over | ||
| + | * drill down to a time slot (h/d/w/m/y) per state (aggregate) | ||
| + | * message removal at end of lifecycle | ||
| + | * drill down to specific message and its state (not all) | ||
| + | * removal at end of lifecycle | ||
| + | * store eternally | ||
| + | |||
| + | [[File:Reporting_enablers.png|border|center|800px|Reporting enablers]] | ||
| + | |||
| + | === Objects === | ||
* Message | * Message | ||
* Performance Indicators | * Performance Indicators | ||
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* Tickets | * Tickets | ||
| − | + | [[File:Reporting_objects.png|border|center|800px|Reporting objects]] | |
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=== Systems === | === Systems === | ||
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* Elastic stack for phase 1 at Xrail | * Elastic stack for phase 1 at Xrail | ||
* Influx/Grafana at RailData | * Influx/Grafana at RailData | ||
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| + | [[File:Reporting_systems.png|border|center|800px|Reporting systems]] | ||
=== Principles === | === Principles === | ||
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* Data Lake? | * Data Lake? | ||
* Easy access for all and reports can be found for all services | * Easy access for all and reports can be found for all services | ||
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| + | [[File:Reporting_principles.png|border|center|800px|Reporting principles]] | ||
Latest revision as of 16:35, 3 May 2021
Contents
Analysis
Report phases
The analysis detected three phases with specific requirements.
- Operative Support & Monitoring
The first phase focus on supporting the operation of a service. It includes near real time reports and monitoring of characteristic figures per Service.
- Short term reports & DataQuality analysis
The second phase delivers the necessary data for data quality analysis and checks for data improvements. This happens on the tactical level.
- Long term Analysis
The third and last phase tackles long term reports from one or several sources. The reports are used for strategic decisions and potentially for smart data based services.
Use cases
The use cases are grouped in the three phases.
- analysis of specific messages and the actual situation
- follow up on errors, incidents and technical issues
- Trigger for DQ assurance cycle
- publish KPI indicators per service
- Dashboard per service
- Analysis of development
- Strategic decision
- Management Reporting
- trigger for performance analysis and measurements
- observe and alarm for abnormal states
- trigger for performance analysis and measurements
- Smart services based on aggregated data
Enablers
- drill down to individual message and its state (new)
- aggregate data and hand over
- drill down to a time slot (h/d/w/m/y) per state (aggregate)
- message removal at end of lifecycle
- drill down to specific message and its state (not all)
- removal at end of lifecycle
- store eternally
Objects
- Message
- Performance Indicators
- KPI
- Forecasts
- Benchmarks
- Content Based Reporting
- Tickets
Systems
- Power BI for phase 2 and 3 at Xrail
- Elastic stack for phase 1 at Xrail
- Influx/Grafana at RailData
Principles
- Sensor/Measurement beside the service
- Aggregation per step from operative data to reporting data
- One reporting tool to RUs / stakeholders
- Data Lake?
- Easy access for all and reports can be found for all services
