Tools & Infrastructure
We adapt the technology to your needs
Choose the best technology for your journey towards smart decision making.
Technology designed for you
Companies need tools and infrastructure to implement the Big Data use cases that allow them to make better decisions and enhance the use of their data and their customers’ data.
Within everyone’s reach
You no longer have to be a ‘techie’ to use Big Data tools. We’ve got the most advanced solutions within everyone’s reach.
No major investments
If you’re a bit low on resources, you can choose a configurable set of cloud-based data management tools on a pay-per-use basis.
Your own premises
We offer on-premise rollouts for larger companies with the resources and skills needed to manage Big Data at their own facilities.
Build your own model
For on-premise rollouts, designing the reference architecture makes it possible to create a roadmap for construction or migration to the new Big Data environment.
LUCA Universe
With tools like LUCA Universe, Telefónica provides different modules over its infrastructure to roll out:
Qlik Sense
On top of LUCA Universe, we complete the end-to-end offer with the visualization capabilities of the best visual analytics tool on the market and a disparate data multi-source associative model: Qlik Sense. With Qlik, a company can quickly and easily create striking and useful dashboards and business statistics with multi-device access so any user in the company can make fast business decisions.
Big Data as a Service:
The Hadoop Platform as a service to run Big Data use cases. With no need for any CAPEX investment and integrated with Telefónica Communications, Cloud and Security services.
Visualization:
A visualization platform within Telefónica-Cloud that offers visual analytics tools. Integrated with Telefónica Security Services.
NoSQL databases:
NoSQL DB as a service (MongoDB, Cassandra, Hive…) integrated with Data Protection and Privacy in OBs, Virtual Data Centres, Communications and Security services.
Governance PaaS:
Governance with the latest technology from the best partners. Implemented under the as a service model to extend Big Data use cases.
Add Artificial Intelligence to your interaction with customers
We can help you define the necessary Artificial Intelligence strategy to optimize the user experience as they interact with your brand.
LUCA AI suite: Tools and Accelerators
With a strong business orientation, LUCA has developed a comprehensive set of tools covering all phases of Machine Learning model preparation and training for better quality and greater efficiency in Big Data projects.
The benefits of accelerators:
- Shorter run times
- Early error detection
- Better quality results
AI and cognitive computing ecosystem
Build your company’s AI environment based on Telefónica’s experience.
At Telefónica, we’ve come up with a new way to relate with our customers: AURA. It’s an Artificial Intelligence environment that helps us create new interactions with our customers.
From the knowledge and experience acquired with our internal projects, we are now offering our consulting capabilities to create AI environments based on:
- Language Skills
- Intelligence Skills
- Memory Skills
- Executive Skills
Benefits:
- An enhanced customer experience by creating an interface that can interact and connect with all the company’s information to meet the user’s needs.
- A better understanding of your users’ and customers’ needs and concerns immediately.
- More operational efficiency by optimizing Call Centre activity and the services provided.
- Greater loyalty by offering each customer immediate answers that are adapted to their needs.
Activate your company’s transformation
Tools and infrastructure adapted to your needs
Find out about the current opportunities that exist with the application of Big Data to projects for social good that help achieve sustainability and discover different projects underway aimed at reaching the UN goals for 2030.
Find out about the ethical and social challenges involved with the use of this technology and what’s expected in the future. We also identify various possible actions to overcome the challenges of AI.