Institute of Management Professionals
How Workflow Automation Is Data Analysis Using Power Automate
Recent reports show that most of the time spent by data teams is not on analysis itself, but on repetitive manual tasks moving data between systems, checking data quality, and validating records one by one. Studies indicate that about 94% of organizations still rely on processes that could be automated,... More details
The Most In-Demand Data Analyst Skills in the Middle East for 2026
Data roles in the Middle East are changing fast. Companies are not just hiring analysts to “build reports” anymore. They want people who can work with messy data, explain results, and support real decisions. This shift is backed by data. Saudi Arabia, the UAE, and the wider GCC are investing... More details
10 Common Mistakes in Data Analysis and How to Fix Them
Most companies want to be “data-driven,” but many fall into the same traps. These mistakes waste time, distort insights, and slow down decision-making. Here are the ten most common issues — and how to fix each one in a simple and practical way. 1. Collecting Too Much Data Without a... More details
Descriptive Statistics in Data Analysis: A Practical Guide to Understand and Apply
Before you can build dashboards, run models, or make predictions, you need to understand your data. And the first step in that process is descriptive statistics. Descriptive statistics help you summarise large datasets into a few simple numbers. They show you what’s normal, what’s unusual, and what might need attention.... More details
Power Automate Examples on How it Helps Teams Work Smarter
Teams waste hours every week on work that should be automated. Not creative work. Not decision-making. Just the repetitive stuff — copying data, sending follow-ups, moving files, collecting responses, and chasing approvals. Microsoft Power Automate solves this problem with simple automations (called flows) that handle these tasks for you. You... More details
Learn SQL for Data Analysis: Why SQL Skills Matter in 2026 | IMP
Many teams today rely on data, but not everyone can work with it. SQL remains one of the most necessary skills for anyone who deals with information — analysts, marketers, finance teams, product managers, and even non-technical roles. And the numbers prove it: SQL has ranked as one of the... More details
What Is Microsoft Fabric and How It’s Used in Data Analytics?
In the era of AI and big data, many organizations in the Middle East now want one platform that can handle everything: data storage, preparation, modeling, reporting, and even real-time insights. This is where Microsoft Fabric comes in. Microsoft has been investing heavily in its analytics and AI infrastructure. Reuters... More details
Microsoft AI and Fabric: Building the Future of Analytics
2026 is shaping up as a turning point for analytics. Microsoft Ignite 2026 put a spotlight on AI, agents, and data — making clear that analytics is no longer just about dashboards. It’s about AI-first data, smarter tools, and deeper integration of insight into workflows. Inside Microsoft itself, the shift... More details
كيف تُعيد مايكروسوفت صياغة مجال تحليل البيانات في السنوات القادمة؟
شكَّل عام 2026 منعطفًا حاسمًا في مسيرة تحليل البيانات الحديثة، إذ انتقلت الصناعة من مرحلة العرض البصري إلى مرحلة الذكاء التنفيذي الفعّال. وجاء مؤتمر مايكروسوفت إيجنايت 2026 ليُرسي ملامح هذه النقلة، مُسلطًا الضوء عل الذكاء الاصطناعي، والوكلاء الآليين، وإدارة البيانات المتقدمة كأعمدةٍ تقود مستقبل القطاع. وتُترجم مايكروسوفت هذا التوجه عمليًا... More details
Why Data Cleaning Takes Most of the Work—And How to Cut It
If you talk to any analyst, they’ll tell you the same thing: the analysis itself isn’t the hard part. The real work happens long before the dashboard or the model. It happens during data cleaning. And even though tools are getting smarter, data cleaning still takes most of the job.... More details
What’s Prompt Engineering for Analysts and How to Learn it?
Artificial intelligence is changing the way we work. And one of the newest skills people are talking about is prompt engineering. It’s the ability to communicate with AI tools clearly so you get accurate, useful results. This isn’t a passing trend. It’s becoming part of everyday work in data analytics,... More details
What Is Observability? A Practical Guide for Analysts in the Middle East
Businesses in the Middle East are relying on data more than ever. Every decision, every digital service, every automated workflow depends on data moving through pipelines, dashboards, scripts, and platforms. But things break. Data arrives late. Dashboards stop refreshing. Pipelines fail without warning. And often, nobody knows why until the... More details
