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The 4 Most Common Mistakes of Digital Transformation Programs

Read our latest White Paper on the most common mistakes of digital transformation programs, the dos and don'ts of the data journey. Come take a closer look at some of the most challenging pitfalls businesses regardless of their space face in their pursuit of digital and capture the best practices and lessons learned to to drive successful data projects.
Read more

What happens if you implement a business case roadmap without a platform strategy

Implementing your business cases comes with a price tag of high expectations and inevitable costs. Read this article and discover how you can drastically control the cost of implementation of your use cases and reduce your projects’ time to market.
Read more

Challenges of data lake project and how to minimise the failure risk

To help you drive a successful data lake project you have to discover what are the challenges in a data lake project, and how you can minimise the failure risk.
Read more

Facilitate and optimize the work of your data-engineers.

Companies need solutions that help real-time data management platforms designed in such a way that extracting data sets is quick, easy and reduces the work of IT teams.
Read more

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.
Read more

Digazu answers 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.
Read more

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.
Read more

Real-time recommendation challenges for intermediaries

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

Improve your marketing processes and customer satisfaction

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

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.
Read more

The 4 Most Common Mistakes of Digital Transformation Programs

Read our latest White Paper on the most common mistakes of digital transformation programs, the dos and don'ts of the data journey. Come take a closer look at some of the most challenging pitfalls businesses regardless of their space face in their pursuit of digital and capture the best practices and lessons learned to to drive successful data projects.
Read more

What happens if you implement a business case roadmap without a platform strategy

Implementing your business cases comes with a price tag of high expectations and inevitable costs. Read this article and discover how you can drastically control the cost of implementation of your use cases and reduce your projects’ time to market.
Read more

Challenges of data lake project and how to minimise the failure risk

To help you drive a successful data lake project you have to discover what are the challenges in a data lake project, and how you can minimise the failure risk.
Read more

Facilitate and optimize the work of your data-engineers.

Companies need solutions that help real-time data management platforms designed in such a way that extracting data sets is quick, easy and reduces the work of IT teams.
Read more

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.
Read more

Digazu answers 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.
Read more

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.
Read more

Real-time recommendation challenges for intermediaries

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

Improve your marketing processes and customer satisfaction

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

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.
Read more