Augura implements actionable insights based on analytics
for Telco Marketing Managers

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Use cases

End to End Focused

We are not worried about which is the best algorithm, but generating business benefits.
Augura is a Managed Service designed to extract valuable and actionable insights from your data.
Translate these insights into real actions in your company to increase revenues.

Customer Care Optimizacion

Anticipate customer QoE,
increase customer satisfaction
and reduce cost of operation

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Churn Reduction

Reach your customers at risk
with the right retention offer
and reduce your churn

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TV Offer Recommendation

Reach your tv customers
with the right tv offer
and increase tv satisfaction

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How it Works

  • 01

    Business Understanding

    A team with long experience in different areas of telco companies will help you define business questions, understand your needs, and adapt general use cases to your particular company

  • 02

    Data Understanding

    We will identify the relevant data for each use case, extracting them from your OSS and BSS systems and external systems if needed, cleaning, reducing, and transforming the data to generate new variables and construct the final dataset

  • 03

    Extract Value

    A team of Data Scientist with extensive knowledge of telco business will be continuously reviewing and developing the mix of different analytical techniques and tools to find a model that extract useful insights from your data

  • 04

    Get the money

    The results of the model, once validated, need to lead to an action in your processes and systems. For example, we can integrate your marketing automation system to create a loyalty campaign for customers with high risk to churn

Why Augura

Focused on marketing for telcos

A team of Data scientists and Telco marketing specialists guarantees answering the specific telco questions, putting business needs always first

Quick Win oriented. From 3 to 6 months

Focused on Telco, enables the simplification and speed up of CRISP-DM process and so represents one of the key differences to obtain successful results

Scalable: reuse simple cases to build complex cases

Start with simple use cases (building blocks) which allows building more complex cases in the future and results in better maintenance.

Live predictive models

Models are continuously reviewed and re-created with the new operator data and new variables identified

IT impact minimized

Fits in systems stack without invasive effects. Data ingestion layer connects to data sources with no impact on their performance.

SaaS or On premise models

Service is offered in the following delivery options: SaaS solution, On Premise solution or Hybrid SaaS-On Premise solution over OpenStack

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