Ideas on
data & BI.
Strategy, analysis and data visualisation — what we learn building Business Intelligence projects.
35 articles
How to migrate from QlikView to Qlik Sense: a practical guide
A guide to migrating from QlikView to Qlik Sense: what you reuse, what you have to rebuild, the role of the script and the data layer, and the mistakes to avoid.
Read article →What is Qlik Answers? Qlik's generative AI
What Qlik Answers is: Qlik's generative AI that answers natural-language questions over your structured and unstructured data, with cited sources and governance.
Read article →Qlik Sense vs QlikView: differences and which to choose in 2026
The differences between Qlik Sense and QlikView: the associative engine they share, self-service, cloud and licensing. A guide to choosing the right Qlik tool.
Read article →Agentic analytics: learn to talk to your data
What agentic analytics is and how the AI agents in Power BI, Tableau and Qlik let you ask your data questions in natural language in 2026.
Read article →Business Intelligence trends for 2026
The trends shaping BI in 2026: agentic analytics, a governed semantic layer, natural language and the new role of the data analyst.
Read article →2025 in Qlik, Tableau and Power BI: the year's highlights
A 2025 review of the three leading BI platforms: the key launches and changes in Qlik, Tableau and Power BI, tool by tool.
Read article →2025 in Review: the year BI became agentic
A look back at 2025: the year agentic AI went from promise to product in Power BI, Tableau and Qlik, and the semantic layer became indispensable.
Read article →Where do you start a Business Intelligence project?
The three basic elements —business questions, data and tool— for successfully kicking off a Business Intelligence project.
Read article →2023 in BI: the year generative AI changed everything
A review of Business Intelligence in 2023: the Microsoft Fabric, Copilot and Tableau GPT announcements, Qlik's Talend acquisition, and what remains to be seen.
Read article →What is a data product and why your company needs one
What is a data product: treating data as a product with an owner, guaranteed quality and an SLA. Where the idea comes from and how to start building them.
Read article →Asking your data questions: the rise of natural language in BI
Natural language BI lets you ask your data a question and get an answer. How Power BI, Tableau and Qlik approach it in 2023, and why the semantic layer matters.
Read article →Copilot comes to Power BI: what it means for data analysis
Copilot in Power BI, announced at Build 2023: what it will let you do, its relationship with Microsoft Fabric, which stage it is at and the condition it needs to work.
Read article →What is Microsoft Fabric, Microsoft's new data platform
What is Microsoft Fabric, the unified data platform announced at Build 2023: OneLake, its workloads, what changes for Power BI and which stage it is at today.
Read article →Generative AI and Business Intelligence: the shift that starts in 2023
Generative AI and Business Intelligence in 2023: what it really promises, what is hype, which risks it brings and how to prepare your data for the coming wave.
Read article →2022 in data: data mesh, the modern data stack and the cloud that matured
A review of the 2022 data trends: data mesh and data fabric, the modern data stack, governance, augmented analytics and the arrival of ChatGPT.
Read article →Sales dashboard: the KPIs you can't leave out
Which KPIs belong on a sales dashboard —revenue, pipeline, conversion, deal size, quota and churn— and how to structure it to turn data into decisions.
Read article →Data quality: how to stop your BI from misleading you
A practical guide to data quality: its dimensions, the symptoms of bad data and how to improve it with profiling, validation and governance for trustworthy BI.
Read article →Augmented analytics: what it is and why it matters
What augmented analytics is: how machine learning assists the analyst with automatic insights and natural language, and how to start using it well.
Read article →What is the Modern Data Stack (and why everyone's talking about it)
What the Modern Data Stack is: its layers (ingestion, cloud warehouse, transformation, BI), how it differs from the traditional approach and its risks.
Read article →Data Mesh vs Data Fabric: differences and when to use each
Data mesh vs data fabric: how these two data architectures differ, what problem each one solves, and how to choose the right approach for your organisation.
Read article →4 keys to a data-driven product strategy
Four keys to a data-driven product strategy: customer needs, user experience, insights in development and a focus on the end user.
Read article →2021 in Business Intelligence: the year data moved to the cloud
A review of Business Intelligence in 2021: digital acceleration, the move to the cloud, self-service and data culture as the real bottleneck for organisations.
Read article →Cloud vs on-premise Business Intelligence: how to choose
Cloud vs on-premise BI: the advantages of the cloud, when on-premise still makes sense, hybrid models, and how to decide which is right for your company.
Read article →What is ETL and why it's the foundation of every data project
What is ETL (Extract, Transform, Load), each phase explained with examples, how it differs from ELT, and why it is often 80% of the work in a BI project.
Read article →How to design a good dashboard
A practical guide on how to design a dashboard that gets used: design principles, choosing the right chart, typical mistakes with clutter and colour, and design to action.
Read article →Data storytelling: turning data into stories that persuade
What data storytelling is and how to tell stories with data that persuade: the data, narrative and visualisation formula, common mistakes and the tools that help.
Read article →Data literacy: the key skill of the decade
What data literacy is, why it became a priority in 2021 after the digital acceleration, and how to build a genuine data culture across your organisation.
Read article →Big Data visualisation: why companies can't do without it
Why visualisation is the most underrated stage of big data, with three examples that show its real value in decision-making.
Read article →Daniel García named Qlik Captain
Daniel García, co-founder of Digital Fox Data, named Qlik Captain for the Barcelona Meetups within the Qlik community.
Read article →How to build a data-driven marketing strategy
A four-step guide to a data-driven marketing strategy: team and goals, data collection, content framework and amplification.
Read article →Sending data from the Qlik load script
How to email a table of data directly from the Qlik Sense load script using Qlik Web Connectors, the SMTP connector and HTML.
Read article →The growing importance of the Chief Data Officer
How big data has made the Chief Data Officer (CDO) a key figure: their strategic value, their origins and their role in the information age.
Read article →Understanding Self-Service BI (Business Intelligence)
What self-service BI (SSBI) really is, why initial success gives way to frustration, and which questions to answer before implementing it.
Read article →What is Machine Learning?
What machine learning is, how it differs from AI, supervised versus unsupervised learning, and why it matters to businesses.
Read article →Why invest in Business Intelligence (BI) solutions?
Why invest in Business Intelligence: charts, integration of data sources, alerts, knowledge distribution and predictive analytics.
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