LATEST FROM BIDATIA
Products, projects and what we learn putting AI into production.
How to adopt AI without stalling at the demo: six phases with decision gates, the AI Readiness Index™ and data maturity per UNE, quick wins, pilots with KPIs, governed adoption and shadow-based handover.
EU AI Act, GDPR, ENS, administrative law and procurement: the obligations each regulation creates when using AI with data, and how to turn them into practical controls.
How to measure and reduce the environmental impact of AI and information systems: references (UNE 0086, ITU-T L.1510), KPIs by maturity level and what to ask suppliers.
Types of metadata, which ones should be mandatory, extended attributes, lineage, roles and how to write good descriptions so the data catalogue is genuinely useful.
Data owner, data steward, custodian, CDO: what each role does, how to assign them with a RACI matrix, which governance bodies you need and where to start with UNE 0080.
ERP, case management, office software, phone systems and cameras already include AI. How to classify each feature under the EU AI Act, plus the 16 minimum questions to ask the vendor.
What master, reference, transactional and analytical data are, how to declare an authoritative source using seven criteria and how to manage its lifecycle without a full MDM rollout.
Customer service assistants, technical reports, loneliness detection, chatbots, request classification and phone support: what several local authorities did and the lessons learned.
Copilot sees everything each user can see. Before turning it on: review SharePoint and Teams permissions, sensitivity labels, data loss prevention, auditing, usage rules and hands-on training.
A practical table to decide which data can be used in each type of AI tool: general-purpose, corporate under contract or assessed system. With examples and verification rules.
Historical, representation and automation bias, proxy variables, disguised nulls, imbalanced classes and data leakage: how to detect each one and what to do about it.
Seven phases with control gates so that no AI system reaches production without being assessed, tested and authorised: minimum questions, test bench, guardrails, operation and retirement.
Looking for cognitive automation and governance at scale? Discover our technical guide for implementing IBM Knowledge Catalog. We analyze its architecture on…
Are your Business Intelligence reports taking minutes to load or showing inconsistent KPIs? Discover how to design a decoupled and efficient Power BI…
Are your Business Intelligence reports gathering digital dust? Discover how to design Power BI dashboards focused on strategic and operational…
Do you manage complex infrastructures and regulated environments? Discover our guide to erwin Data Intelligence. We analyze the optimization of Apache Tomcat…
Is your Power BI environment falling short? Discover the strategic roadmap to make the leap to Microsoft Fabric without operational risk, eliminating data…
Rigid suites or uncontrolled catalogs? Break the dilemma with this technical implementation guide for Anjana Data. We analyze its microservices architecture…
Static data governance no longer works. How to implement OpenMetadata with a DataOps approach: automated data lineage and data quality without bureaucracy.
Forget manual report reviews and surprise errors. Discover how data observability acts as a real-time watchdog to protect your business's information.
Does your team still waste hours reviewing reports and manually correcting Excel files? Discover how the union of data quality and Artificial Intelligence…
The DAMA data quality dimensions, how to control them with rules in tools such as Microsoft Purview, which metrics to track and the four controls to start with, keeping it simple.
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…
Is your company's information an asset or a file chaos? Discover what Data Governance really is and why it has become the mandatory foundation for…
Is your technology strategy stuck on paper? Discover how the DAMA DMBOK framework and the RACI matrix can help you design a clear data operating model, assign…
Data governance success doesn't depend solely on technology, but on a progressive and business-focused deployment. We analyze a 5-Phase Deployment Framework…
Star schema, grain, keys, history with SCD, governed versus flattened models, a KPI catalogue and the DAX and performance practices that make the difference in Power BI.
The end of support for Talend Open Studio is forcing companies to make a strategic decision. We analyze the best options on the market for migrating your…
What is the ideal platform for ensuring the quality and traceability of your information? We analyze the advantages, AI coverage, and strategic fit of leading…
What data spaces are, their impact across industries, the technology behind them and how to make use of the Kit Espacio de Datos grant.
Bidatia, a company specialized in the industrialization of Artificial Intelligence (AI) and Big Data solutions, has reinforced its commitment to innovation…
ENISA certification validates that Bidatia's business model is innovative, scalable and viable.
𝗚𝗿𝗿𝗮𝗻 𝗡𝗼𝘁𝗶𝗰𝗶𝗮! 𝗕𝗶𝗱𝗮𝘁𝗶𝗮 𝗮𝗹𝗰𝗮𝗻𝘇𝗮 𝗲𝗹 𝗻𝗶𝘃𝗲𝗹 𝗱𝗲 𝗽𝗮𝗿𝘁𝗻𝗲𝗿 𝗽𝗮𝗿𝘁𝗻𝗲𝗿 𝗦𝗶𝗹𝘃𝗲𝗿 𝗱𝗲 erwin by Quest Software 𝗽𝗮𝗿𝗮 𝗲𝗿𝘄𝗶𝗻 𝗗𝗮𝘁𝗮 𝗗𝗮𝘁𝗮 𝗠𝗼𝗱𝗲𝗹𝗲𝗿 𝘆 𝗲𝗿𝘄𝗶𝗻 𝗗𝗮𝘁𝗮 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲
Tired of your team wasting valuable time on repetitive tasks? Moving data from a spreadsheet to a CRM, managing invoices manually or qualifying leads one by…
In the digital age, data has become the new gold. However, for many Small and Medium Enterprises (SMEs), accessing this "gold" and using it effectively can be…
Companies in the transportation sector must prepare for a timetable of regulatory and technological changes that will transform document and operational…
AI governance technical offices are essential to guide the responsible use of artificial intelligence as companies address their digital transformation…
In the competitive world of Operations and, in particular, BPO companies, the strategic adoption of data and artificial intelligence (AI) is crucial to stay…