Tags:

• aura-analytics

Categories:

• monitoring

Aura Analytics 2.0.0

What is Aura Analytics 2.0.0?

Active listening is defined as a key process that involves a continuous monitoring of Aura performance based on real logs from the users to analyze them and gather insights on the efficiency and effectiveness of Aura as a system and also to track the interaction of our users with Aura.

In this framework, Aura Analytics 2.0.0 is a tool used by Aura Global Team that uses active listening with the ultimate goal of improving Aura quality, as it generates accurate information to carry out both corrective and predictive actions and to decide how Aura should evolve in the future.

How does Aura Analytics 2.0.0 work?

• The process is built upon Aura users logs generated in production environment

• From these logs, Aura Analytics 2.0.0 create PPDs (Privacy-Preserving Datasets)

• Datasets are processed, enabling the visualization through dashboards and the extraction of statistical insights

• The Aura Global Team consumes this data to support decision-making processes

Target users

• The Aura Global Team is the target user of the Aura Analytics 2.0.0 tool, responsible for its design and management as well as for the interpretation of results for decision-making.

• OBs should allow the generation of datasets from their Aura users logs in their local environment just by installing and executing a single process, as shown in the document Guidelines for OBs.

Index of documents

Aura Analytics 2.0.0 includes the following documents:

• Version history
• Architecture overview and main processes and components
• Internal operation
• Guidelines for OBs willing to consume data provided by Aura Analytics 2.0.0
• Aura Analytics dashboard
• Annex: Dataset fields

Aura Analytics versions

Release 1.0.0

The first release 1.0.0. sets up the basic paths, deploys the PPD infrastructure and produce:

• Version 1.0.0. of the OB Analytics system, which includes the OB Dashboard.
• The first version of pre-processed datasets (clean PPDs) for training and analytics at Aura Global.

As mentioned, this version enables going further by:

• Enhancing the analytics dashboard with new visualizations.

• Processing the PPD files as desired (they are standard CSV files, which can be ingested in alternative platforms if desired). Restrictions on them are softer than on the original logs due to the anonymization process they have been subjected to, although they are still subjected to management precautions (a code of conduct is being prepared for that).

Release 1.1.0

Version 1.1.0. introduces the following changes:

• The table of data has been enlarged with these new fields: AURA_ID, STATUS_CD, sesId, sesSize, sesDuration.
• An expanded list of test users is used, so that the userType column contains more identifications.
• The code for data ingestion into a local Kibana, which previously consisted on a single Python script, has been turned into a full Python package to be installed, due to its increasing complexity.

Release 2.0.0

Version 2.0.0 introduces the following changes:

• In 2.0.0 version, Aura Analytics has undergone a refactor to improve its structure and make it easier to understand, maintain and extend in the future.
• Aura Analytics 2.0.0 simplifies the deployment and execution process.
• But one of the most significant enhancements in Aura Analytics 2.0.0 is its capability to manage both processed and to-process files centrally in one place (database). 

Prerequisites and recommended tools

The prerequisites for the use of Aura Analytics 2.0.0 are set below:

• Recommended tool for data visualization: ELK stack