Both platforms sit as Leaders in Gartner’s 2026 Magic Quadrant for Analytics and Business Intelligence, and both carry nearly identical 4.4-star ratings on Gartner Peer Insights, Power BI from 3,232 reviews, Tableau from 3,983. That parity is exactly why the decision is hard: this is not a case of one platform being objectively better, it […]
Where to Build AI Teams: The Growing Case for Egypt and Morocco
Key Takeaways As AI adoption scales, access to qualified AI talent is becoming a strategic constraint The global AI talent map is shifting, with emerging markets rapidly expanding their talent pools Africa is building its AI capabilities, with Egypt and Morocco emerging as relevant markets for AI teams Egypt offers talent scale, competitive costs and […]
Data Accessibility: What It Means, and Why Most Companies Get It Backwards
Accenture and Qlik surveyed 9,000 employees across nine countries and found that data-related friction costs organizations more than five working days, 43 hours, per employee every year, with only 21% of employees confident in their own data skills. Most companies respond to that number by opening access to everything. That is the wrong fix, and […]
Inside Saudi Arabia’s AI Opportunity: Three Factors Making the Kingdom Attractive to Investors
Key Takeaways Saudi Arabia has moved beyond AI funding, with the foundations needed to turn investment into AI at scale The Kingdom’s digital infrastructure is already mature, reducing a major barrier to enterprise AI adoption Its data estate is increasingly catalogued, standardized, and addressable, shifting the challenge from finding data to making it fit for […]
Data Transformation: What It Actually Means, and Why Pipelines Keep Breaking
Fivetran’s 2026 Data Connectivity Report and dbt Labs’ State of Analytics Engineering 2026 survey, both published in April 2026, landed on the same number from different angles: 53% of enterprise data engineering time now goes to maintaining existing pipelines instead of building new capability. Meanwhile Gartner puts the failure rate for data migration projects at […]
From Clean Data to AI-Ready Data: What Companies Must Fix Before AI Can Scale
Key Takeaways Clean data is only the starting point for AI readiness The biggest data gap may be information you never collected Data can be accurate and complete yet still be unusable for AI The goal is not perfect data, it is fit-for-purpose data Use-case-led preparation can turn months of broad data clean-up into weeks […]
Data Discovery: What It Is, How It Works, and What Most Tools Get Wrong
Gartner puts it bluntly: on average, only 15% of an organization’s data is critical business data. The other 85% splits between redundant, obsolete, or trivial (ROT) data and pure dark data, information nobody has looked at, classified, or connected to a business purpose. IDC goes further and says up to 90% of big data is […]
Advanced Analytics: What It Is, How It Works, and Why Most Programs Fail
The global advanced analytics market is on track to grow from USD 97.17 billion in 2026 to USD 193.23 billion by 2031, a 14.7% compound annual growth rate (MarketsandMarkets, 2026). Spending is not the bottleneck. Gartner estimated in 2019 that through 2022, only 20% of analytic insights would deliver measurable business outcomes, and the ratio […]
Fast on AI, Slow on Value: What Is Holding the Gulf Back?
Key Takeaways The Gulf has closed the AI adoption gap and is scaling faster than global peers Very few organizations can attribute earnings to AI, despite widespread adoption Strategy and funding are not the constraint, with most reporting strong leadership backing and a well-funded roadmap The organizations capturing value share four characteristics, none of them […]
How to Choose a Data Analytics Service Provider
The data analytics outsourcing market grew from $9.24 billion in 2023 toward a projected $66.68 billion by 2030, a 32.1% compound annual growth rate (Grand View Research, 2024). More companies are buying analytics help than ever, yet most of that spend is at risk. Gartner predicts that by 2027, 80% of data and analytics governance […]









