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BUSINESS INTELLIGENCE EXPERTS

Real-time Analytics and Pipelines

We help companies reuse their knowledge and put it to work in real time.

Real-time monitoring for businesses

Data is one of the most important assets for companies. From consumer behavior and inventory tracking to its use in factories, data can help companies detect trends or measure performance, even in real time.

  • Predictive equipment maintenance
  • Fraud detection systems
  • Recommendation systems

Benefits of Real-Time Analytics

From fraud detection and purchase recommendations to financial data, combining Real-Time Data with areas like Machine Learning can deliver solutions never seen before.

Business Intelligence

Having access to real-time data can be extremely helpful when managing a company or corporation. The goal is to bring data together in a real-time dashboard, enabling teams to focus on areas where alerts arise or optimization is needed.

Improved customer experience

Customers expect fast, dynamic experiences that are also interactive and personalized. Technologies such as chatbots or engine-based suggestions driven by the user’s own experience can combine customer data and preferences with business interests in real time.

Business development

Having access to real-time information allows companies to understand their markets and respond quickly, with new products or models suited to each moment.

Supply chain optimization

One of the greatest benefits for companies is undoubtedly the ability to optimize their supply chain and operational processes. Areas such as transportation and logistics are already undergoing a shift in which both internal and external data play the leading role.

What is Real-Time Analytics?

Real-Time Analytics is a discipline that applies logic and mathematics to provide companies with information so they can act on data immediately, or shortly after it enters the system. This way, real-time application analysis can respond to queries within seconds.

It involves handling large volumes of data with high speed and low response times. A typical example can be found in the financial sector, where real-time big data analysis uses data from databases to inform business decisions.

Why is Real-Time Analytics important?

Real-time analytics delivers information instantly, allowing companies to be proactive by seizing opportunities or preventing problems before they arise.

With traditional analysis, on the other hand, where data loading can take hours or even days, proactivity and adaptability to changing circumstances cannot operate as efficiently.

Clients

They have joined the change

Fagor
Metro
Airbus
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Exolum
Aedas Homes
PwC
Asisa Dental
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Hospital Santa Cristina

They have trusted us

Fco. Javier García Villalón

We have been able to automate dozens of processes and cut the time they needed by 100%. The support, experience and dedication of the LISDATA team throughout the digitalisation and automation process has been outstanding.

Fco. Javier García Villalón CDO, Director of New Technologies and R&D Projects
Jorge Valero

LISDATA and its technical team have helped us take great strides in terms of digital efficiency, thanks to data analysis and the development of tailored software, based on an in-depth understanding of our needs.

Jorge Valero Director of Applications and Data, AEDAS Homes

The best tools to generate results

Explore all technologies

Big Data Tools

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Business Intelligence Tools

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Cloud Tools

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Data Science Tools

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RPA Tools

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Real-Time Analytics Tools

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Our certifications:

Microsoft Solutions Partner
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AWS Partner