Blueway's Blog :
Useful insights to address your data challenges

Transparency and access to data: a responsibility for organisations In 2025, the issue of the...

Artificial intelligence is at the heart of our society’s concerns today: platform recommendation systems, autonomous...

In a banking and insurance sector marked by the multiplication of products, the fragmentation of...

One of the success criteria in putting a centralized architecture in place is standardisation and...

While everyone knows (or should know) what the RGPD stands for, there are other lesser-known...

The administration departments in an organisation work on large numbers of management processes in conjunction...

The integration of services powered by artificial intelligence (AI) is becoming a strategic lever for...

There are many abbreviations – ETL, ESB, EAI, EDI, SOA and APIM for instance –...

Far from being a trivial matter for a business, implementing a single master data repository poses...

Ensuring the compliance of processing operations involving DCP (Data of a Personal Nature) is at...

Advanced data analysis approaches increasingly use methods such as ontology, taxonomy, knowledge graphs and thesauri...

A large number of people in various roles are involved in each process in your...

Introduction: the basics of data integrity Data integrity means the certainty that data is complete,...

Automating the exchange of data between your information system and those of your partners using...

Dark data: an octopus with exponential growth It was the Gartner research institute that helped...

When attempting to represent data interchange between applications within an information system architecture (EAI for...

Data quality assurance: obvious and vital work All business processes are based on data nowadays,...

Changes to applications, version upgrades, applying extra add-ons, or integrating a new subsidiary running disparate...

Businesses are by now fully aware of the control issues surrounding master data and data...

Data quality is a major issue for organisations. Poor quality data can be expensive; research...

A workflow is a graphical representation or model of a business process produced using workflow...

The criticality of data flows, the number of parties involved and the timescale required to...

Decision-makers often wish to put a data governance strategy in place. However, the next step...

Adopting a true data governance policy is no longer an optional matter for any organisation....