Description | This analysis provides a geographical view to identify the count of device events in a specific region. The data is shown for the selected month. |
Purpose | Using this map, business users can identify the areas with higher device events across various device categories. They can also analyze the nearby areas and look for patterns in the events, looking for differences in geographic regions. |
Representation | The color-coded region on the map shows the device event count in that area, along with the city and state details. The City,State link broadcasts the region details to the Device Events Distribution and Device Events by Month analyses on the same dashboard page. The pie chart on the map shows the event count per event category in that region. |
Drill Down | No drill down |
Source Object | Device Event Fact |
OAS Subject Area | MDM - Device Event |
Metrics | Count of Device Events |
Description | This analysis provides insight into the distribution of device events in a geographical area (city, state) across various segments. The data is shown for the selected month. The data is based on the city and state selected on the Device Events map on the same dashboard page. |
Purpose | Using this tool, business users can analyze the distribution of device events in a geographical area (city) for the selected period. Users can view the data by event type, event category, head end system, device type and device model. |
Representation | The View By drop-down slices the data by event type, event category, device type, head end system, manufacturer, or model. The City,State drop-down filters the data for the area with the respective postal code. The pie chart shows how the device events related to each attribute of the selected segment are distributed as a percentage of total. |
Drill Down | The pie chart drills down to the Event Trend or Event Analysis dashboard pages for event specific details. |
Source Object | Device Event Fact |
OAS Subject Area | MDM - Device Event |
Metrics | % of Device Events |
Description | This analysis shows a 15-month trend on the number of device events in a geographical area. It also shows the yearly average. The data is based on the city, state selected on the Device Events map on the same dashboard page. |
Purpose | Using this tool, business analysts can monitor event trends for a specific city and also compare the volume for each month against the yearly average. |
Representation | The City,State drop-down filters the data for the area with the respective postal code. The bar graph shows the device event count for each month in the selected geographical area. The X-axis represents the month and year. The Y-axis represents the device events. Hover over the bars for specific details. The line on the graph shows the average device event count for the selected year. |
Drill Down | The graph drills down to the Event Trend or Event Analysis dashboard pages for activity specific details. |
Source Object | Device Event Fact |
OAS Subject Area | MDM - Device Event |
Metrics | Count of Events (Bar), Yearly Average (Line) |
Description | This analysis shows the trend in the number of device events across various segments, for the previous 15 months. |
Purpose | Using this analytical tool, business users can monitor trends in the volume of device events recorded in the system. The monthly graph also has stacks to further classify the volume based on event category, event type, device type, head end system, manufacturer, or model. It helps to understand the sub trends within the overall volume of device events. |
Representation | The View By drop-down slices the data by event category, event type, device type, head end system, manufacturer, and model. First graph: The stacked bar graph shows the 15-month trend in the total number of device events per the selected View By option. Each stack indicates the number of device events of a particular dimension attribute. The X-axis represents the year and month, while the Y-axis represents the number of device events. Hover over the bars for specific values. Second graph: Use the slider to view the data for a specific month. Use the play button to see the chronologic changes in activity by month. The bar graph shows the number of device events per each dimension attribute selected in the View By drop-down, for the selected month. The X-axis represents the selected segment. The Y-axis represents the number of device events. Table: The table displays the number of events per each dimension attribute in the selected View By option. The data is shown for previous 15 months. |
Drill Down | The Month Year column link drills down to the Event Analysis dashboard page for a granular view. |
Source Object | Device Event Fact |
OAS Subject Area | MDM - Device Event |
Metrics | Count of Events |
Description | This analysis shows the number of device events associated with a combination of various segments. It also indicates the percentage of total events contributed by the selected combination. The data is displayed for the selected month. |
Purpose | Using this view, business users get a summarized view of device events. This tool allows users to “slice” the database to perform custom data analysis. The three “View By” selections allow users to define the viewing hierarchy, such as event type, event category and city. Once the selection is made the user is presented a summary of the data. The user can then drill into the details to see the particular device/service points in question. |
Representation | The View By drop-down slices the data by dimensions, such as device type, head end system, manufacturer, model, event category, event type, reporting category, geographical code, city, or postal code. The table displays the number of device events and percentage of total for each segment selected in the View By drop-down. % of Total = (Events / Grand Total) * 100 |
Drill Down | The Events column link drills down to the Event Analysis Detail dashboard page for a granular view. |
Source Object | Device Event Fact |
OAS Subject Area | MDM - Device Event |
Metrics | Count of Event |
Description | This analysis shows a comparison of the device event count between the selected dimensional values based on the selected comparison dimension. The data is displayed for the selected month. |
Purpose | This analysis serves as a comparison tool for business analysts to view event data by two view dimensional values, such as head end system one vs. head end system two. |
Representation | The Comparison Dimension drop-down compares the data by head end system, device type, service provider, manufacturer, model, or city. The Dimension Value 1 and Dimension Value 2 drop-downs filters the data on the dimension attributes, such as electric simple meter – manual, electric smart meter, electric solar smart meter, or gas AMR meter. The bar graph displays the device event count for each device event attribute in the selected dimension values. The X-axis represents the event category. The Y-axis represents the device count. Hover over the bars for specific values. The table displays the number of device events and the percentage of total pertaining to each event type and event category. These details are shown for each of the selected dimension values. % of Total = (Events / Grand Total) * 100 |
Drill Down | The Events or the % of Total column links drill down to the Event Analysis Detail page for device event specific details. |
Source Object | Device Event Fact |
OAS Subject Area | MDM - Device Event |
Metrics | Count of Events, % of Total |
Description | This analysis shows a list of the top 100 service providers (in each customer class) with the highest number of device events in the selected month. |
Purpose | Business analysts can use this detail-level analysis to navigate back to the source Oracle Utilities Meter Data Management system and view specific details pertaining to a service point or device in the MDM 360 Degree View portal. |
Representation | The table displays the service point, device, and event details for each customer. |
Drill Down | The Service Point and Device column links drill back to the 360 Degree View page in the Oracle Utilities Meter Data Management system. |
Source Object | Device Event Fact |
OAS Subject Area | MDM - Device Event |
Metrics | Count of Events |
Description | This analysis displays the top 100 service points with the highest number of device events and exceptions. |
Purpose | Using this view, business users can correlate the events and exceptions that occur on the service point/device for every customer. This tool will help customers identify revenue protection problems and equipment failures. For example, the user requests all devices that have revenue protection related VEE exceptions and AMI events related to tampering. Wherever anomalies are observed, users can navigate back to the source Oracle Utilities Meter Data Management system and view specific details pertaining to a service point or device in the MDM 360 Degree View portal. |
Representation | The table displays the service point, device, and total device events and exceptions details for each customer. The customers are ranked on the highest total device events and exceptions. |
Drill Down | The Service Point and Device column links drill back to the 360 Degree View page in the Oracle Utilities Meter Data Management system. |
Source Object | Device Event Fact, VEE Exception Snapshot |
OAS Subject Area | MDM - Device Event, MDM - VEE Exception Snapshot |
Metrics | Count of Events, Count of Exceptions, Total Device Events and Exceptions |