Are your Business Intelligence reports gathering digital dust? Discover how to design Power BI dashboards focused on strategic and operational decision-making. We analyze the most common visual errors and Bidatia's methodological keys to achieve full adoption in your company.
Are your Business Intelligence reports taking minutes to load or showing inconsistent KPIs? Discover how to design a decoupled and efficient Power BI architecture for SMEs. We analyze the star schema, VertiPaq engine optimization, and the implementation phases recommended by Bidatia.
Looking for cognitive automation and governance at scale? Discover our technical guide for implementing IBM Knowledge Catalog. We analyze its architecture on Red Hat OpenShift, Data Fingerprinting model training, and automation via APIs that we run on Bidatia.
Do you manage complex infrastructures and regulated environments? Discover our guide to erwin Data Intelligence. We analyze the optimization of Apache Tomcat, the automation of complex lineage through scripts, and the extension of the metamodel we apply at Bidatia.
Is your Power BI environment falling short? Discover the strategic roadmap to make the leap to Microsoft Fabric without operational risk, eliminating data silos, and preparing your infrastructure for enterprise AI.
Rigid suites or uncontrolled catalogs? Break the dilemma with this technical implementation guide for Anjana Data. We analyze its microservices architecture in Kubernetes, its dynamic metamodel, and how Bidatia addresses its event-oriented integration.
Static data governance no longer works. We'll show you how to implement OpenMetadata with the Bidatia Methodological Framework: a technical, automated, and scalable approach based on active metadata and DataOps.
Does your team still waste hours reviewing reports and manually correcting Excel files? Discover how the union of data quality and Artificial Intelligence allows you to automate processes and make error-free decisions.
Forget manual report reviews and surprise errors. Discover how data observability acts as a real-time watchdog to protect your business's information.
Do you make decisions based on data you don't trust? Discover the 6 key dimensions of data quality metrics and how to implement them to transform your information into a profitable asset and avoid errors in your Artificial Intelligence.
