Accelerate Services for Rapid Cloud and Data Analytics Deployment

We offer a range of accelerate services that package our knowledge and experience of developing and operating cloud and data analytics solutions, to reduce your time to deployment and gaining insight from your data.

 

These services are a perfect way to jump-start your initiative by providing proven templated approaches with alignment to standards including the Microsoft Cloud Adoption Framework for Azure.

 

Our full SaaS offerings such as the Data Lake Ingestion service will take you further faster. As one-click provisioned services, they only require simple management through a web front-end and are backed by an Telefónica Tech managed service.

Rapid Data Analytics Deployment

Organisations need a simplified analytics platform for tactical and strategic agility that enables them to break down data siloes across the organisation and uncover insight from their data

 

We have created the Telefónica Tech Rapid Data Deployment, a solution that enables organisations to combine siloed data, into a single analytics service, to uncover real-time actionable data in weeks instead of months

Rapid Azure Landing Zone

Jumpstart your cloud journey with the Telefónica Tech Rapid Azure Landing Zone which enables your organisation to get in Microsoft Azure, fast.

 

The Telefónica Tech Rapid Azure Landing Zone deployment enables organisations to start or extend their cloud journey in a matter of days with the knowledge that their Azure workloads will be secure, resilient and governed.

Rapid Power BI Business Value – 3 Day Proof of Concept

Many organisations are struggling with preparing business reports as they need to collect, transform and analyse data, from numerous sources, often from platforms that require a lot of manual effort and lack data integrity.

 

Telefónica Tech will showcase in 3 days how Power BI can add value to your organisation by deriving actionable insight and demonstrating some of its core capabilities

Rapid Data Lake Ingestion

Organisations have a wealth of information siloed in various sources. Pulling this data together for analytics, reporting and AI applications is one of the biggest obstacles to realising business value from data.

 

Ingesting all this data into a central data lake is often hard, in many cases requiring often-bottlenecked IT effort that requires data engineers to perform custom development, write scripts, schedule jobs, triggers and handle job failures. This approach does not scale and creates massive operational overhead.

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