Talk:Embedded analytics

Latest comment: 8 months ago by Analyticapedia in topic Embedded Analytics features & capabilities

Embedded Analytics definition update edit

Embedded analytics is the integration of analytic capabilities into a host, typically browser-based, SaaS, application.

These analytic capabilities would expect to be relevant and contextual to the use-case of the host application.

In order to achieve this, consideration would normally be given to integration at various levels, these would likely include: security integration, data integration, application logic integration, business rules integration, and user experience integration. Analyticapedia (talk) 19:05, 10 August 2023 (UTC)Reply

It's about more than just analytics – creating engaging dashboards is a big part too. You can check out existing dashboards or make your own, all within a professional business environment. This system lets you assign specific roles and ensure tight security. For instance, salespeople can access reports showing sales by country and year, as an example 2A01:E0A:A2B:9920:2FBD:EA9:885E:9F41 (talk) 08:15, 11 August 2023 (UTC)Reply
Embedded analytics is about more than dashboards.  Dashboards are often the beginning of an analytic journey.
Business rules, or perhaps management-by-exception thresholds, help, based on the security credentials of the user, to identify anomalies which encourage the user to start an analytic journey to answer the question:  "What's wrong with this picture?".
The motivation behind starting that journey is to understand the "numbers-behind-the-numbers", the "why-behind-the-what" and ultimately discover root-cause.
Root-cause for an anomaly, might be found at record-level in host application terms, for instance: a customer, an order, a product, a location or department...
Embedded analytics means that not only are dashboards embedded in the host application, but also analytic journeys.  The analytic journey follows the host application and the host application follows the (embedded) analytics.
Ultimately, this means the user lands in a part of the application not only to uncover root cause, but also to execute mitigating or corrective action... To schedule, order, assign, message... Analyticapedia (talk) 18:48, 11 August 2023 (UTC)Reply

Embedded Analytics Summary update edit

Embedded analytics, in contrast to Embedded Software and Web Analytics, enables users to integrate analytics capabilities into their own applications, portals, or websites.

This integration empowers users to gain quicker and deeper insights through interactive visualizations and dashboards embedded within the system. This setup enables easier, in-depth data analysis without the need to switch and log in between multiple applications. Analyticapedia (talk) 08:17, 23 August 2023 (UTC)Reply

Embedded Analytics use cases edit

Description of possible (host) use cases Analyticapedia (talk) 08:24, 23 August 2023 (UTC)Reply

Embedded Analytics architecture/technology options edit

Description of different alternatives for implementing Embedded Analytics Analyticapedia (talk) 08:25, 23 August 2023 (UTC)Reply

Vendors specialized in Embedded Analytics edit

A list of companies that are focused on this marketspace Analyticapedia (talk) 08:26, 23 August 2023 (UTC)Reply

Processes helpful in implementing Embedded Analytics edit

Including:

  • use-case clarification, validation and prioritization
  • data sourcing
  • modelling
  • UX design
  • ...
Analyticapedia (talk) 08:28, 23 August 2023 (UTC)Reply

Embedded Analytics features & capabilities edit

Including:

  • visualisations
  • business logic/rules, analytic computations and intellectual property
  • navigation and user experience
  • host integration

Analyticapedia (talk) 09:44, 23 August 2023 (UTC)Reply