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Data engineering Data science Use case
A Tailored Shopping Experience in real time

A Tailored Shopping Experience, or How to Display Custom Content in Real Time

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Data engineering Data science Use case
the banking sector challenges

Digazu’s platforms answer the banking sector challenges

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Data science Use case
fraud detection digazu 2

Data science at the service of fraud detection

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Data science Use case
Real-time recommendation digazu

Real-time recommendation challenges for intermediaries

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Data science Use case
customer services

Improve your marketing processes and customer satisfaction

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Data science Use case
real-time-data-approach

Customer experience with a multichannel real-time data approach

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Data engineering Insights
Digazu ETL

Digazu helps you answer the ETL challenges

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Data engineering Insights
ETL challenges

The challenges of ETL and their related data-driven business ambitions.

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Data engineering Data science Insights
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Data challenges across companies

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data engineering data science Digazu MLOps data platform
Data engineering Data science Use case
A Tailored Shopping Experience in real time

A Tailored Shopping Experience, or How to Display Custom Content in Real Time

Companies need solutions that aggregate many sources of on- and off-line information, extract data sets quickly, and ease the deployment of models to compute real-time compelling recommendations.

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Data engineering Data science Use case
the banking sector challenges

Digazu’s platforms answer the banking sector challenges

Discover how Digazu’s platforms help the banking sector dealing with real-time banking transactions and streamlining data between data producers and data consumers.

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Data science Use case
fraud detection digazu 2

Data science at the service of fraud detection

By using real-time data analysis and historical data analysis (submitted to anomalies and patterns detection), data scientists are able to detect and prevent potentially fraudulent activity before it occurs.

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Data science Use case
Real-time recommendation digazu

Real-time recommendation challenges for intermediaries

Generate, trough data, additional revenues by automating recommendations with intermediaries, making targeted interactions with customers possible.

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Data science Use case
customer services

Improve your marketing processes and customer satisfaction

Match your business with the everlasting changes in customers’ preferences and expectations.

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Data science Use case
real-time-data-approach

Customer experience with a multichannel real-time data approach

Discover how to add value to your retail business and to personalize each customer engagement trough by integrating a multichannel data approach across your real-time reporting and your data science models.

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Data science Insights Use case
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Demo real-time product recommendation

Discover, through this demo, a fast and easy way to create real-time product recommendations with our Digazu’send-to-end data engineering platform.

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Data science Use case
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Fraud detection

By using Digazu you will significantly reduce the time to implement all the necessary steps to detect potentially fraudulent behaviour.

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Data science Use case
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Predictive analysis

Transform your data into actionable insights with Digazu’s platforms. With Digazu you can combine data from many sources.

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Data science Use case
anomaly-detection

Anomaly detection

Digazu simplifies the process of connecting your streams and models, and we deliver blazing fast access to your data flow.

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Data science Use case
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Customer segmentation

With Digazu, you can apply machine learning to customer behavioural and demographic data to generate accurate and real-time segmentation.

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Data science Use case
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Real-time analytics

Digazu is the ideal missing piece to connect all your streams in a unified pipeline to then distribute to your favourite analytics platform.

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Data science Use case
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Seamless hot & cold data integration

Digazu’s platforms help you unify your data, in a fast, predictable and reliable way.

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Data science Use case
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Manage your data lake

Digazu helps you unify your data in a fast, predictable, and reliable way. You can use organized data in your data lake in just a few days. 

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Data science Use case
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Mix legacy and new tech infrastructure

Digazu can facilitate the data engineering needed to build a one-stop-shop for data as it abstracts the technology of the source systems.

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Data science Use case
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Data lineage and GDPR application

With Digazu, you have one central place to manage your data flows, making it simple and easy to know which data is used by whom and to what end.

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Data science Use case
on demand scalability

On-demand scalability for high volumes

Digazu can process any size or number of pipelines; that’s its core strength.

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data engineering data science Digazu MLOps data platform
Recent Posts
  • A Tailored Shopping Experience in real time
    A Tailored Shopping Experience, or How to Display Custom Content in Real Time
  • the banking sector challenges
    Digazu’s platforms answer the banking sector challenges
  • fraud detection digazu 2
    Data science at the service of fraud detection
  • Real-time recommendation digazu
    Real-time recommendation challenges for intermediaries
  • customer services
    Improve your marketing processes and customer satisfaction
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