How to use Pulse
To add a user to access a dashboard:
NOTE: All users have access to view dashboards. Pulse license will need to be assigned to a user to edit and customized dashboards.
- Click the white circle containing the blue letter
in the top right corner of The Mortgage Office®.
- In the drop-down, click Account.
- Click the Manage Licenses.
- Click on user to edit access.
Field: |
Description: |
|
Toggle this button to provide access to the Pulse Dashboard. |
- Click
Save to save the information and add the User or
Cancel to abort the changes
To add a user to edit and customize a dashboard:
- Click
User Management located in the left-hand navigation panel of The Mortgage Office®.
Under Access Tab:
Field: |
Description: |
Edit Pulse Dashboards |
If you want this user to have access to edit the Pulse Dashboards, check the box.
|
- Click
to Save or click
, or
in the corner of the assistant to exit.
How to edit dashboards?
- Click
Edit Dashboard on the upper right side to start editing
To publish dashboard changes:
NOTE: Dashboard needs to be published for other users to see latest changes
- Click
Share button in upper right side
- Click the Republish
How to edit the Widget Designer?
To display the Widget Designer:
- On the dashboard, click
Edit which appears in the top-right corner of a Widget.
How to navigate the Widget Designer?
The Widget Designer enables you to select the data to be included in a widget in addition to providing a variety of options for customizing the visualization used to show the data.
Field: |
Description: |
Selecting the Widget Visualization |
Enables you to change the visualization of the widget. |
Adding Data to the Widget (Data Panel) |
Used for selecting the values that you want to appear in the widget and those needed for grouping the data. The options differ depending on the visualization (chart type). |
Previewing the Widget |
The center of the window displays the current design and content of the widget, which automatically changes each time you select a different option in this window. |
Adding a title to the dashboard |
Click Set a Title and type in a new title for the widget. You can also add a widget title directly from the dashboard without entering the Widget Designer. |
Accessing More Options |
Displays a menu of additional options for the widget. |
Filtering the Widget (Filter Panel |
Lets you manage the filters that affect this widget. Learn more in Introduction to Filters.. |
Designing the Widget (Design Panel) |
Provides a variety of options for fine-tuning the appearance of the widget, including labels, legends, line types and more. Some of these options need to be turned on for you to configure them. The options differ depending on the visualization (chart type). TIP: Setting the Widget Style(Widget Style) Provides a variety of options for customizing the appearance of the widget, including backgrounds, borders, corners, and more. |
Update on every change |
When selected, data changes are automatically and dynamically updated in the display. Not selected - you have to click UPDATE to display your latest changes in the widget. Clearing this check box may be useful when you are working with very large datasets where query times might be slower. |
How to rename Fields in a Widget?
The names of fields in widgets are taken from the raw data. To make these names more comprehensible, you can rename the fields in your widget.
To rename a field in a widget:
- In the Widget Designer, right-click on a field, for example, in the X-AXIS, Y-AXIS, VALUES, CATEGORIES areas and so on.
- In the menu, select Rename.
How to change a Widget's Visualization?
You can change the visualization of a widget (for example, from a Line Chart to a Pie Chart). When you change the type, all relevant values and definitions are transferred to the new visualization.
To change a widget's visualization:
- Open the Widget Designer
- Click the Visualization selector, shown below, to display a menu of visualization options.
- Select a different visualization, and click Apply.
How to Combine Two Types of Visualizations in a Widget
In chart widgets (such as Line Charts, Area Charts, Column Charts, and Bar Charts), you can represent one or more selected field(s) using a different visualization than the visualization of the original widget.
For example, the following example shows a Line Chart in which the Total Revenue is still represented as a Line Chart (the default), but the Total Quantity is represented as a Column Chart.
To select a different visualization for a field in the widget:
- In the Widget Designer, in the Values area, add all the fields you want to represent (you need at least two fields in the Values area).
- Right-click the field that you want to change.
- Select Series Type from the menu. A menu of alternative visualization types is displayed.
- Select the visualization to use for this field only.
- Click Apply.
Widgets:
Field: |
Description: |
Area Chart |
An Area Chart is very similar to a Line Chart except that the areas under each line are filled in (colored), and it is possible to display them as stacked. The chart is recommended for displaying absolute or relative (stacked) values over a time period. |
Area Map |
Area Maps allow you to visualize geographical data as polygons on a map. TMO uses a cloud service to position data points on the map using a geocoding service. You can use your data to affect the color of the areas. |
Bar Chart |
The Bar Chart is commonly used to compare many items. The Bar Chart typically presents categories or items (descriptive data) displayed along the Y-Axis, with their values displayed on the X-Axis. You can also break up the values by another category or groups. |
Box & Whisker Plot |
The Box & Whisker Plot, or Box Plot, widget is a convenient way of visually describing the distribution, variability, and center of a data set along an axis. Box Plots are divided into four quartiles. The middle quartiles are represented by a box that contains 50% of the data and the median value. The upper and lower quartiles contain the maximum and minimum values and the remaining 50% of the data. These quartiles are represented by lines called whiskers. The maximum and minimum values can be adjusted when defining your box plot. By default, these values are within 1.5 times of the IQR (Interquartile Range), however you can set them to the actual maximum and minimum values or to within one standard deviation of the mean of your data. |
Calendar Heatmap |
The Calendar Heatmap widget visualizes values over days in a calendar-like view, making it easy to identify daily patterns or anomalies. |
Column Chart |
The column chart can be used in different business scenarios, especially for comparing items, and comparing data over time. The chart can include multiple values on both the X and Y-axis, as well as a breakdown by categories displayed on the Y-axis. |
Funnel Chart |
The funnel chart shows stages in a process that are sequentially dependent. The funnel shape helps you track the health or validity of any process. For instance: ● Tracking sequential data that moves through stages ● Representing a greater number of items in the first stage versus a smaller number in the final stage ● Calculating the results of customer leads through sale conversions ● Measuring the progress of a marketing campaign from impressions to interactions ● Revealing bottlenecks in a linear production and manufacturing process ● Adjusting the size of clinical medical trials based on size of test and control groups ● Measuring the progress and success of click-through advertising/marketing campaigns |
Indicator |
The Indicator widget provides various options for displaying one or two numeric values as a number, gauge or ticker. It also provides the option to add additional titles and a color-coded indicator icon representing the value, such as a green up arrow or a red down arrow. |
Line Chart |
The line chart can be used for various business cases, including: ● Comparing data over time, for example: to analyze sales revenue for the past year. ● Comparing changes over the same period of time for more than one group or category. Example: Analyze expenditures of different business units for the past year. |
Pie Chart |
The Pie chart is used to display proportional data, and/or percentages. |
Pivot Tables |
Pivot tables are one of the most useful widgets for visualizing data. They enable you to quickly summarize and analyze large amounts of data. |
Polar Chart |
Use the polar (radar) chart to compare multiple categories/variables with a spatial perspective in a radial chart. |
Scatter Chart |
The Scatter Chart displays the distribution of two variables on an X-Axis, Y-Axis, and two additional dimensions of data that are shown as colored circles scattered across the chart. |
Scatter Map |
Scatter Maps allow you to visualize geographical data as data points on a map. TMO uses a cloud service to load the background tiles of the map, and position data points on the map using a geocoding service. |
Sunburst |
The Sunburst widget is similar to a pie chart but is multi-dimensional. Whereas a pie chart combines one field and one numeric value, the Sunburst widget can display multiple rings, one for each field. Each ring in the Sunburst shows a breakdown of its parent ring slice. |
Table |
The Table widget displays a broader view of your data, presenting it in columns, with as many fields and as many metrics as necessary, tailored to your needs. |
Text Widgets |
You can add Text widgets to create titles and texts that stand out, or when you want to add more descriptive explanations to your dashboard and surrounding visualizations. In the Text widget's settings, you can find plenty of options for creating different text styles. Some examples of what you can do include changing the font color, selecting a background color, adding hyperlinks, and defining the text alignment |
Treemap |
Treemap is a multi-dimensional widget that displays hierarchical data in the form of nested rectangles. This type of chart can be used in different scenarios, for example, instead of a column chart if you have to compare too many categories and sub-categories. |
Reporting Data Model
The Reporting Data Model is a dimensional model that allows customized reporting. Dimensional modeling is a data warehousing technique that exposes a model of information around business processes while providing flexibility to generate reports.
Loan Servicing Data Model Facts
Following fact tables are available for Loan Servicing
Table: |
Description: |
Loan Servicing Metrics |
This table provides most recent snapshot of all loans and key loan data. This table contains one record for every loan and provides the most up to date snapshot of key loan parameters. |
Lender History Metrics |
Contains all lender and vendor transactions. |
Loan Servicing Metrics
Field: |
Description: |
Account |
Loan account number |
Updated Date Time |
Date and time when the loan was last updated |
Next Due Date |
Next payment date |
Paid To Date |
The date interest is paid to. This date is always in arrears and a period earlier than the Next Payment Due date. For example, the paid to date for a loan with a monthly frequency and a next payment due date of 5/1/2007 is 4/1/2007. This field does not apply to Lines of Credit or Construction loans. |
Closing Date |
Closing date from terms page |
Paid Off Date |
Paid Off date from terms page |
First Payment Date |
First payment date as entered on terms screen |
Created Date |
The date when loan record was created in the system |
Loan Balance Past Maturity |
Any outstanding amount of a loan that remains unpaid after its maturity date. |
Original Loan Balance |
The original amount of the loan. |
Current Loan Balance |
Current principal balance of the loan. |
Unpaid Late Charges |
This is the total amount of late charges that have been assessed but not yet paid. |
Unpaid Interest |
This is the total amount of unpaid interest due on this loan. |
Original Loan Term |
Number of months from loan’s origination date until it’s maturity date. |
Remaining Loan Term |
Number of months left until a loan reaches its maturity date. |
FICO Score |
Primary borrower's FICO score. |
Loan Priority |
Loan priority as appears on Terms page in the loan file. |
Primary Property Type |
Property type for the primary property |
Property State Property Province |
State/Province of primary property |
Property City |
City of primary property |
Property County |
County of primary property |
Property Zip Code Property Postal Code |
Zip/Postal Code of primary property |
Property Occupancy |
Primary property occupancy |
Aggregate Appraised Value |
Total appraised value of all properties securing the loan. |
LTV |
Loan-to-value rate. |
Maturity Date |
The maturity date for the loan. This is the date on which the loan must be paid in full. |
Apply To P&I |
The amount of the total payment to be applied towards principal and interest. |
Apply To Reserve |
The amount of the total regular payment to be applied towards Reserve. |
Apply To Impound |
The amount of the total regular payment to be applied towards Impound. |
Apply To Other |
Other payments included in total regular payment amount |
Regular Payment |
Total regular payment. |
Note Rate |
The loan's annual interest rate. This is the interest rate used to calculate borrower's interest due. |
Sold Rate |
The annual interest rate to be paid to participating lenders. |
Loan Code |
Loan code as entered on details page of loan terms. |
Loan Officer |
The name of the loan officer associated with the loan. |
City |
Borrower's city. |
State |
Borrower's state. (US) |
Province |
Borrower's Province. (Canada) |
Zip Code |
Borrower's zip code (US). |
Postal Code |
Borrower's postal code (Canada). |
Days Overdue |
The number of days that have elapsed since a loan payment was due but. |
Days Overdue Groups |
Allows grouping loans by number of days overdue to simplify reporting. Following groups are provided: · Current · 1-30 · 31-60 · 61-90 · 91-120 · 121-150 · Over 150 days |
LTV Range |
Shows LTV Range for the loans. Allows grouping loans based on LTV: · 50% or · 50-60% · 60-65% · 65-70% · 70-75% · 75-80% · 80-85% · 85-90% · 90% or More |
Lender History Metrics
Field: |
Description: |
Date Created |
Date and time when the transaction record was added to the database. |
Date Last Updated |
Date and time when the record was last updated. |
Check Date |
Date of the check |
Payment Code |
|
Check Amount |
The amount of the check. |
ACH |
Y or N indicator |
Service Fees |
Amount applied to service fees |
GST |
Goods and Services Tax |
Applied To Interest |
Interest |
Applied To Principal |
Principal |
Applied To Late Charges |
Late Charges |
Charges Principal |
Amount applied to charges. |
Charges Interest |
Interest accrued on charges. |
Applied To Prepay Fee |
Prepay Fee |
Applied To Trust |
Amount applied to trust |
Other Taxable |
Other taxable fees |
Other Non-Taxable |
Other non-taxable |
Other Payments |
Amount applied to other payments |
Lender Account |
Lender account |
Loan Servicing Data Model Dimensions
Following dimension tables are available for Loan Servicing
Table: |
Description: |
Amortization Types |
Provides text description of amortization types |
Loan Types |
Text description of all loan types |
Rate Types |
Provides access to loan rate types |
Categories |
Contains categories assigned to each loan |
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