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Table of Contents

 
System Architecture

CardioLog Analytics SaaS's architecture is built upon four main layers:

1. Data Source
-
2. : This layer
includes
3. encompasses all
the main
4. primary sources that CardioLog Analytics SaaS
can track
5. monitors, including
Office 365
6. SharePoint Online,
SharePoint
7. versions 2013, 2016, 2019, Subscription Edition, and Microsoft 365 applications such as Microsoft Teams
and Yammer.  
8. , Viva Engage, OneDrive, and Exchange Online.
9. Data Capturing
-
10. : This layer
 combines both tracking of
11. integrates user behavior tracking with data
pulled
12. retrieved from various Microsoft APIs
. 
The user
13. , including Microsoft Graph API and SharePoint REST API. User behavior is captured
by a
14. through an embedded JavaScript code
, which allows for tracking all kinds of information including what pages users viewed and what they searched for. 

15. in the monitored sites, enabling the tracking of diverse information such as pages viewed and search queries. This data is combined with information
that we get
16. obtained from Microsoft APIs,
like
17. including portal content, structure, users, groups, profile attributes, and
much
18. more.
 
20. Data Processing
- Once
21. : After data is captured
, there is a mechanism that processes the data and combines it into analytics that are displayed in reports. Data Visualization - The processed information is displayed
22. and securely stored in Microsoft Azure, a processing mechanism analyzes and consolidates it into actionable analytics, which are then prepared for reporting.
23. Data Visualization: The processed data is presented at the Data Visualization level
. The data is visualized
24. through Power BI, a
powerful
25. robust visualization tool provided by Microsoft, facilitating interactive and insightful reporting within the customer's own Power BI environment.

CardioLog Analytics SaaS Schematic Overview

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