The new enhancements include the following functionality:

• Insights now support information filtering by date parts to confine the results and get more precise data. For example, in a list-based insight for sales, you can filter the contents to include orders from a certain quarter to analyze the financial situation of a company.

  For more information, see Customizing list-based insights and Customizing chart-based insights.

• Insights now support information grouping by date parts to improve clarity and enhance the process of data analysis. For example, in an insurance application, in a chart-based insight, you can group the number of new clients by year, and then by month, to analyze the growth of your company within specific periods of time.

  For more information, see Customizing list-based insights and Grouping information by dates.

For example: The following visualization shows a team's assignments grouped by years, and then by months.

The new enhancement uses time periods combined with date parts to filter data. For example, you can filter insights by Previous Quarter. The following list includes time periods and date parts that you can use to filter information in your insight:

• Time periods
  • Last
  • Previous
  • Next
  • Current
• Date parts
  • Year
  • Quarter
  • Month
  • Week
  • Day
  • Hour

For more information, see Customizing chart-based insights and Customizing list-based insights.

With the new enhancement, you can conveniently feature certain data series by using several predefined chart types, such as Stacked Area, Multiple Line, and Clustered Column. In addition, you can make each chart more informative by customizing data series to show markers and labels with values.

For more information, see Managing data series in insights.

For example: The following visualization presents a chart-based insight that includes two data series illustrated by two distinct charts. One data series uses markers, and the other uses labels with values.

By bringing crucial information into focus, the new functionalities improve the process of data analysis. For example, you can use the reference line as a benchmark for other data. That way, your insight is transparent and understandable to users.

For more information, see Adding regions and reference lines.

For example: In the following scenario, the reference line indicates a satisfactory level of sales, and the region marked in green shows the range of minimum expected sales.

Insights provide you with various customization options for conditional formatting. The new functionality uses relational operators to color certain value ranges in the chart. For example, in an insight for the aviation industry, you can mark in red all flights that are delayed by more than 30 minutes to improve your data analysis. For more information, see Color-coding the appearance of data series.

For example: The following insight presents sales and profits that a company generates in every state. The visualization shows how to customize the sales data series to feature the columns whose value is greater than or equal to 50,000.

The new enhancement provides you with the tools to view the underlying records of certain fields in the form of a comprehensible table. You can use that table to verify whether insights include all the data that you require.

For more information, see Viewing underlying records of insights.

For example: The following chart-based insight shows how to drill down to the detailed list of orders for TVs in a sample sales application:

You can create unique charts by customizing several options, such as the alignment of columns and the number of featured data. You can also make data more discernible and increase the attractiveness of the chart by color-coding the featured data.

For more information, see Creating simple value charts and Color-coding the appearance of data series.

For example: The following example presents a Custom highlight + summary layout that includes sales and profits data series. The layout consists of four featured data series that are divided into two columns, with supplementary data under the columns. The data series are color-coded to focus on important information.