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SBI Overview

Location: Admin Settings > Analytics Socialcast Analytics, also known as Social Business Intelligence (SBI) presents an analytical view of your Socialcast community, giving you real-time feedback on activity, trends, and adoption rates in the community. Using this data, you can make strategic decisions for your community and evaluate the success of your collaboration initiative. In particular, you can:
  • View posting and response behavior over time for individuals, groups, and departments.
  • Analyze lurking and listening activity, surfacing the invisible facets of network adoption.
  • Find where each employee fits into the social graph based on their connections and activity.
  • Identify top collaborators and the most interesting and influential employees.
  • Understand the interaction patterns between users.
The Analytics section also contains a Dashboards view, which provides additional key metrics in aggregated format.  

Viewing the Analytics

Community administrators can access SBI through the administrator’s panel (Admin Settings > Analytics). Users with the Data Analyst role can reach SBI through the Analytics link in the upper right corner of the page (gear menu). The default analytics page, Activity, provides a network overview: Analytics_Activity

Adjusting the Time Period

You can filter nearly all the SBI data by date. This feature allows you to focus on particular slices of time and compare data in multiple time periods. To change the time period, click on the date field. A calendar gadget will appear. You can choose to view the data from today, yesterday, the past week, the current month to date, year to date, or from the beginning of the community. You can also enter specific start and end dates. AnalyticsActivityDate

Drilling Down in the Data

One of SBI’s biggest advantages is the ability drill down into various pieces of information. Many charts, tables, and graphs within SBI contain links to other charts, tables, and graphs, allowing you to investigate interesting or unusual data patterns. For example, in the Trends table shown below, you can click on the title of any discussion to read the entire conversation. You can also click on a user name to view that user’s community activity. All linked text is shown in blue. Analytics_Trends