メインコンテンツまでスキップ
Gainsight Japanese Localization

Object Analyzer Admin Guide

Gainsight NXT

This article supports Gainsight NXT, the next evolution of the Customer Success platform. If you are using Gainsight CS Salesforce Edition, you can find supporting documentation by visiting the home page, and selecting CS > Salesforce Edition.

Not sure what your team is using? Click here.

 

重要 - 画像/情報は四半期ごとのリリースで更新されます!

四半期ごとのリリースにて、最新の機能・情報を反映し、画像を含めた情報は更新されます。

 

Object Analyzer scans all the Objects in your instance and provides insights to improve performance.

Perform the following steps to use Object Analyzer:

Navigate to Administration > Analyzer > [click on the Object Analyzer icon on the left].

Snip20190610_38.png

Dashboard

The DASHBOARD tab displays the Object Analyzer Dashboard screen with a quick view summary of all the Objects arranged in tiles at the top of the screen, including the number of Custom Objects, number of System Objects, and number of Standard Objects in the Org. The dashboard contains sections on object stats, high volume objects, custom objects, and recommended features.

Object Stats

The analysis of the Objects appears under the head Object Stats. This contains the list of Objects, Type, Number of Fields, Number of Records, Formula Fields, Update Keys, Volume utilized in MB, and the last modified date of the object, and a Scan icon. You can click on the Scan icon (Snip20190610_39.png)present at the end of the row to see a complete analysis of a particular object.

Snip20190610_40.png

Clicking on the Scan icon displays a window that provides a detailed report on the particular object, including the Object Type, Number of Records, Number of Live Records, Volume, Errors and Warnings. If the Object’s performance can be optimized further, a Warning is displayed which defines the improvement area. A Data Volume graph is also displayed, which illustrates the number of rows of data within the object over time.

In the following image, the Analyzer warns that the Object contains lookup fields that do not have required restraints configured, as well as lookup fields that contain null values. The Data Volume graph is also displayed.

Snip20190610_41.png

Object Warning/Error Messages

The table below lists every possible Object Analyzer warning/error message.
 

Warning/Error

Detail

Scan Type

Objects with no records

The object doesn't have any records. Delete objects which are not in use.

Warning

High volume objects

The object has more than 10 Million records. Archive data beyond 1 year to improve performance.

Warning

Objects not being utilised

The object does not have active rules or reports defined on top of it. Delete it if it is no longer required to reduce clutter and improve manageability.

Warning

Objects with large number of fields

The object has more than 100 fields. Model the object to multiple objects with logical grouping of fields.

Warning

Objects with more number of Formula field

The object has more than 10 formula fields. Use bionic rules to compute formula fields unless on the fly calculation is required, it will improve the performance while reporting on the data.

Warning

Lookup fields with Required constraint not set

The object has Lookup fields but doesn't mandate the values to be required. It is recommended to set a required constraint on fields with MDA join to restrict null values from being inserted.

Error

Objects containing Null values in Update fields

The object has Nulls in Update keys. Remove null values from Update keys to maintain data quality.

Error

Objects contaning Null values in Lookup fields

The object has Nulls in Lookups fields. Remove null values from Lookup fields to maintain data quality.

Error

Objects containing duplicate records

The object has row level duplicate records. Delete the duplicate records in the object to maintain data quality.

Error

Objects containing duplicate values in Update keys

The object has duplicate records in Update fields. This would affect MDA Joins. Remove duplicate values from Update fields.

Error

Object with frequent updates and deletes

The difference between the number of rows that are actually in the table and logically represented by the system is huge. Consider the updates that are happening on this object.

Warning

Objects with High Volume Fields and Records

The section labeled Objects with more >100 fields lists out objects that have more than 100 fields, and the section labeled Objects with more than (>10M Records) lists out objects that have more than 10 million records.


Note: This section calls the attention of the User to high volume Objects to facilitate quick action if required.

Snip20190610_42.png

Custom Objects with no Records

This section displays Custom Objects that do not have any records and lists out Objects that have no records along with the date of creation. Admin can improve manageability by reviewing stale objects and deleting them.

Snip20190610_43.png

Recommended Features

The Recommended Features section contains a list of recently released features which have not been used even once. You can click on any available recommended feature to navigate to the product documentation about the feature.

Snip20190610_44.png

Data Flow Diagram

The Data Flow Diagram helps you analyze how data flows through various objects. It shows the source and target rules / Ingest jobs reading or writing to an object in a pictorial format.

Use Data Flow Diagram

This feature enables admins to perform an instance review or diagnose a data quality issue and finally create configuration documentation quickly.

NXT Object Analyzer Data Flow.png

To use the Data Flow Diagram feature:

  1. Navigate to Administration > Operations > Analyzer > Object Analyzer > [Click on the DATA FLOW DIAGRAM tab.]

Snip20190610_45.png

  1. Select an object from the dropdown list to view data flow.

  2. Click GO.

Note: After clicking GO, the system will take time to process drawing the diagram.

NXT object analyzer data flow diagram loaded.gif

  1. Click on a process icon (blue circle in the following image). This displays a table below the diagram, which gives details about the process used to move data from one area to another.

NXT object analyzer process icon.gif

  1. If there are more than five sources/targets "X+ "objects will be shown in the diagram. Click on X+ to view the details on the table below the diagram

Snip20190610_46.png

  1. Double click on the SFDC/MDA object icon (Snip20190610_47.png/ Snip20190610_48.png) to navigate to the Data Flow Diagram of that object.

NXT object analyzer double click.gif

  1. Click on the NXT object analyzer export icon.png icons to export the Data Flow Diagram and also the rules in excel format.

NXT object analyzer export rules list.gif

Data Flow Diagram at Field Level

This feature enables admins to perform an instance review, diagnose a data quality issue, and finally create configuration documentation quickly. To use the Data Flow Diagram at the Field Level, take the following steps:

  1. Navigate to Object Analyzer > Data Flow Diagram.

  2. Select an object.

  3. Click GO.

  4. Double click on the object to view the list of fields.

  5. Select any field to redraw the diagram to show the data flow of the specific field.

NXT object analyzer field level.gif

  1. Click on the process icon to display the details of the field’s data flow.

NXT object analyzer data flow field level process details.gif

Note: Clicking the process details for any field displays a table that includes the information about the field and how it is used in each rule. For example, a field can be used as part of the Show Field, Action, or Merge etc.

Limitations

  • Only active rules are displayed.

  • Usage Connectors and Case connectors are not yet supported in the Data Flow Diagram.

  • There can be a data delay of up to 1 hour at maximum - Next refresh time is shown on the top right corner.

Snip20190610_49.png

Information: The data flow is basically one or more datasets created based on the data from Salesforce or MDA objects. A data flow is a set of instructions that specifies what data to extract from Salesforce/MDA objects, how to transform the datasets, and which datasets to make available for diagrams.

 

 

  • この記事は役に立ちましたか?