Overview of Kissflow Analytics

Modified 1 week ago

Rajesh Narayanan

Kissflow Work Platform:

  • Small Business
  • Corporate
  • Enterprise

Analytics, often known as data analytics, is the method of sifting through a large chunk of data to uncover, analyze, and share new insights and knowledge about the data. Businesses rely on analytics to make quick, data-driven choices, increase revenue, acquire a competitive advantage, etc.

Kissflow Analytics is a self-service reporting engine that enables you to draw insights from your Kissflow data by creating reports. You can create cross-process reports, chart or pivot reports over child tables and datasets, workload analysis reports, all items reports, and more.

Data sources in Kissflow Analytics

Data sources in Kissflow are of two types:

  1. Tables: Tables hold the actual data that must be evaluated. A table, like a spreadsheet, is made up of columns which are the fields in the form and rows are the items submitted.
    Tables can be of these four types:
    a) Process table: This table contains all the fields in your process form.
    b) Child table: This is a table within a process form.
    c) Dataset: A table with rows and columns of data.
    d) System table: It refers to process instance tables and activity instance tables that consist of workflow activity data across processes, and user and group tables.
  2. Dataview: This is a one-of-a-kind data source created by using columns from one or more tables or dataviews by writing an SQL query in the query editor.

Reporting in Kissflow Analytics

Reports, such as tabular, charts, and pivots, make it easy to understand and explain data trends, outliers, and patterns. These visuals can be combined to tell a broader data story and aid decision-making. Analytics reports can be generated over processes, child tables, system tables, datasets, and dataviews to monitor various business activities.

Analytics supports the following types of reports:

  • Tabular reports allow you to display raw data in a simple tabular way. Using this view, you can generate a spreadsheet-style report containing all of your data.
  • Charts display data graphically in one of ten chart types including bar, line, area, scatter, pie, doughnut, and combo.
  • Pivot tables can quickly summarize, arrange, and compare large quantities of data. They allow you to easily interchange fields, rows, and columns.

Accessing Kissflow Analytics

To access analytics:

  1. Sign in to Kissflow Work Platform.
  2. Click Analytics button () on the left navigation.
  3. Under Data explorer, you can create dataviews and also find data sources like process tables, child tables, system tables, dataviews, and datasets created by you or shared with you.
  4. Under Reports, you can create new reports and also find all the analytics reports that you’ve access to.

As a Kissflow Super Admin, you will have access to all data sources and dataviews. If you are a Kissflow user, you’ll have access to only those data sources that you created or were shared with you. You can create reports over these data sources, share them with other users, and also export them as a CSV or JSON file.

Usage scenarios

Kissflow Analytics can be used across various business functions like procurement and employee management.

Procurement

If you're someone who uses Kissflow Process to manage purchase requests, purchase orders, and vendor catalogs in your company, you can use Kissflow Analytics to draw insights that help you track orders, compliance, delivery quality, and other key performance indicators.

Employee management (HR)

If you're someone who uses Kissflow Process to manage people operations in your company, you can use Kissflow Analytics to evaluate key performance indicators like turnover rate, average time for recruitment, cost per hire, employee satisfaction, etc. By creating reports over dataviews that join multiple tables, you can analyze employee performance and also take key hiring decisions.

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