Splunk® Metrics Workspace

Using the Splunk Metrics Workspace

Download manual as PDF

This documentation does not apply to the most recent version of SMW. Click here for the latest version.
Download topic as PDF

Analyzing data in the Splunk Metrics Workspace

Your team manages a bike share program that allows users to check out bicycles using a mobile application.

To gain better insight into your business, you want to analyze the following metrics:

  • Inventory status over time
  • User availability checks over time
  • Social media mentions over time
  • User sentiment over time

This use case uses a metrics data source designed to help you get started with the Splunk Metrics Workspace. To work through this use case, you need the following:

  • Splunk Web version 7.0 or later with the Metrics Workspace installed
  • Admin-level access
  • Unzipped sample data

Create a metrics index and upload the sample data using Splunk Web. Then locate and analyze your data in the Metrics Workspace.

  1. Create a metrics index
  2. Upload data from a CSV file
  3. Locate your data in the Splunk Metrics Workspace
  4. Analyze your data in the Splunk Metrics Workspace

Create a metrics index

  1. In Splunk Web, navigate to Settings > Indexes and click New Index.
  2. For Index Name, type "bikes".
  3. For Index Data Type, click Metrics.
  4. For the remaining properties of the index, use the default values.
  5. Click Save.

Upload data from a CSV file

  1. In Splunk Web, go to Settings > Add Data.
  2. Scroll down and click Upload files from my computer.
  3. Under Select Source, click Select File.
  4. Locate the metrics-bikes.csv file in your file directory system, and click Open.
  5. After the file uploads to Splunk Web, click Next.
  6. Under Set Source Type, click the Source type drop-down list, and click Metrics > metrics_csv. Then click Next.
  7. (Optional) On the Input Settings page, under Host, specify a host value.
  8. On the Input Settings page, under Index, select bikes. Then click Review.
  9. Review your data upload settings. Then click Submit.

Locate your data in the Splunk Metrics Workspace

  1. Navigate to the Search & Reporting app.
  2. Click the Metrics tab to open the Splunk Metrics Workspace.
  3. In the Data panel, click Metrics to view a list of metrics data sources. DemoBikeMetrics appears in the list of metrics data sources.
This screen image shows the Metrics Workspace Data panel containing a data course called "DemoBikeMetrics".

Analyze your data in the Splunk Metrics Workspace

  1. To view a chart showing checked-out bike inventory over time, click Metrics > DemoBikeMetrics > LiveInventory > CheckedOut.
  2. In the global actions bar, click the time range picker, and select Last 48 hours. The workspace time range expands to show a wider range of data.
  3. To view a chart showing user availability checks over time, click Metrics > DemoBikeMetrics > MobileApp > AvailabilityCheckRequests.
    This screen image shows two charts in the Splunk Metrics Workspace. The first chart shows a line graph of availability check requests over time. The second chart shows a line graph of checked out bike inventory over time.
  4. To view a chart showing social media mentions over time, click Metrics > DemoBikeMetrics > Social > News.
  5. To view a chart showing user sentiment over time, click Metrics > DemoBikeMetrics > Social > Sentiment.
    This screen image shows two charts in the Splunk Metrics Workspace. The first chart shows a line graph of user sentiment over time. The second chart shows a line graph of social media mentions over time.
  6. To view how your metrics vary based on location, select any chart in the workspace. In the Analysis panel, under Split By, select city. Repeat this process for each of the other three charts in the workspace.
  7. To view the workspace in grid layout, click the grid icon This screen image shows the Grid Layout icon. in the global actions bar.

Summary

From the charts in the workspace, you can deduce that there is a positive correlation between checked-out inventory and user availability requests. There is also a positive correlation between social media mentions and user sentiment. These metrics all peak during certain times of the day, most likely during typical commute hours.

This screen image shows an overall view of the Metrics Workspace. It shows time series charts for checked out inventory, user availability checks, social media mentions, and user sentiment.

For more information about analyzing data in the Splunk Metrics Workspace, see Analytics in the Splunk Metrics Workspace.

PREVIOUS
Dashboards in the Splunk Metrics Workspace
  NEXT
Creating a dashboard in the Splunk Metrics Workspace

This documentation applies to the following versions of Splunk® Metrics Workspace: 1.1.6, 1.1.7


Was this documentation topic helpful?

Enter your email address, and someone from the documentation team will respond to you:

Please provide your comments here. Ask a question or make a suggestion.

You must be logged into splunk.com in order to post comments. Log in now.

Please try to keep this discussion focused on the content covered in this documentation topic. If you have a more general question about Splunk functionality or are experiencing a difficulty with Splunk, consider posting a question to Splunkbase Answers.

0 out of 1000 Characters