• Services
    • Data Analysis
    • Data Engineering
    • Data Visualisation
    • Data Science
    • Data Consulting
    • Software Engineering
  • Industries
    • Manufacturing
    • Real Estate
    • Marketing
    • Retail
    • Logistics
    • Healthcare
    • Automotive
    • Financial Services
  • Resources
    • Portfolio
    • Dashboards
    • Blog
  • About Us
  • Careers
  • Contact Us
  • Services
    • Data Analysis
    • Data Engineering
    • Data Visualisation
    • Data Science
    • Data Consulting
    • Software Engineering
  • Industries
    • Manufacturing
    • Real Estate
    • Marketing
    • Retail
    • Logistics
    • Healthcare
    • Automotive
    • Financial Services
  • Resources
    • Portfolio
    • Dashboards
    • Blog
  • About Us
  • Careers
  • Contact Us

Squery Blog

Stay informed with pivotal data news and trends

  • All Topics
  • Cloud Data Platforms
  • Data Engineering
  • Microsoft Fabric
  • Migrations
  • Data Viz and Reporting
  • Process Automation
  • Machine Learning and AI
  • All Topics
  • Cloud Data Platforms
  • Data Engineering
  • Microsoft Fabric
  • Migrations
  • Data Viz and Reporting
  • Process Automation
  • Machine Learning and AI

Power BI Row-Level Security (RLS): A Practical Guide to Secure Data Access

Row-Level Security (RLS) is one of Power BI’s most critical governance features — yet it’s often overlooked until sensitive data ends up in the wrong hands. In this guide, we walk through how to design, configure, and test RLS from the ground up: from defining business roles and writing DAX

Read the post
May 20, 2026

How to Connect Power BI to Snowflake: Step-by-Step Guide 

Connecting your data warehouse to your BI reporting layer is no longer optional — it is a basic requirement for modern analytics. Snowflake gives teams a scalable, cloud-based platform for storing and processing data, while Power BI turns that data into dashboards, reports, and business-ready insights. When the two tools

Read the post
May 11, 2026

Before You Roll Out Self-Service BI: Four Questions to Answer First 

Before launching self-service BI, organizations need to answer a few critical questions about data quality, metric definitions, ownership, and success criteria. This article explains why the most successful BI rollouts are built on trusted data, shared KPI definitions, clear accountability, and measurable business outcomes. Without this groundwork, even the best

Read the post
May 4, 2026

Self-Service BI: Why the Promise Rarely Matches the Reality

Self-service BI promises faster, more independent decision-making, but many rollouts fail because organizations underestimate the people, governance, and training behind the tools. This article breaks down five common misconceptions, from assuming every user will query their own data to believing real-time dashboards automatically lead to better decisions. It explains why

Read the post
May 4, 2026

Misleading Statistics: 4 Data Pitfalls That Lead to Bad Business Decisions 

Misleading statistics can lead to poor business decisions even when the underlying data is technically correct. This article explores four common pitfalls — confusing correlation with causation, survivorship bias, cherry-picking data, and drawing conclusions from small sample sizes. Each section explains how these mistakes distort decision-making and why they often

Read the post
April 30, 2026

7 Misleading Data Visualization Techniques – And How to Spot Them

Data visualizations can make complex insights easier to understand, but poor design choices can just as easily distort the truth. This article highlights seven common misleading techniques, including distorted axis scaling, 3D charts, overcrowded pie charts, unsynchronized dual axes, averages without context, truncated baselines, and confusing color choices. Through practical

Read the post
April 29, 2026

Customer Churn Analysis

Customer churn is one of the most critical yet often underestimated drivers of revenue loss, especially when companies focus more on acquisition than retention. By clearly defining churn and quantifying its financial impact, businesses can better understand where and why they are losing value. Machine learning models enable companies to

Read the post
April 24, 2026

Power BI external tools

Power BI is powerful—but when reports grow more complex, its native capabilities can feel limiting. This is where external tools come in. In this post, we explore a set of essential tools that extend Power BI’s functionality, helping developers work more efficiently, optimize performance, and manage enterprise-scale models with greater

Read the post
April 7, 2026

Version Control in Power BI: Why PBIP Changes Everything

Power BI development has long struggled with version control because traditional PBIX files are binary and difficult to track in Git workflows. With the introduction of the PBIP (Power BI Project) format, reports and semantic models become structured, text-based components that can be versioned like traditional code. This enables teams

Read the post
March 13, 2026

Why accuracy alone tells you almost nothing about AI performance

Many AI systems proudly advertise high accuracy scores, yet this single number often hides more than it reveals. In binary classification problems, accuracy alone cannot describe the types of errors a model makes, the distribution of the data, or how well the model generalizes to unseen situations. This article explains

Read the post
March 5, 2026

Squery: Unparalleled IT solutions, data consulting, and business analytics.

Linkedin Facebook Instagram Twitter
Services
  • Data Visualisation
  • Data Analysis
  • Data Engineering
  • Data Science
  • Data Consulting
  • Software Engineering
Quick Links
  • About Us
  • Portfolio
  • Blog
  • Careers
  • Terms of Service
  • GDPR
  • FAQ
  • About Us
  • Portfolio
  • Blog
  • Careers
  • Terms of Service
  • GDPR
  • FAQ
Get In Touch
Contact Us

info@squerysolutions.com

+36 30 496 2489

Monday to Friday 9:00 AM - 5:00 PM