Intelligent Tech Channels Issue 92 | Page 48

EXPERT SPEAK

MODERN DATA STACKS TRANSFORMATION: THE ENGINE OF SMARTER BUSINESS

Enterprises across the Middle East are rapidly adopting modern data architectures to keep pace with the explosion of data and the need for real-time, actionable insights. Karl Crowther, Vice President – MEA and APAC, Alteryx, tells us how organisations are leveraging the modern data stack and AI to drive smarter, faster decision-making across their businesses.

Across the Middle East and beyond, enterprises are experiencing an explosion of data that traditional legacy systems are unequipped to manage. Business leaders demand agility, scalability and intelligent decision-making powered by real-time insights. That’ s where the modern data stack enters the conversation, ushering in an era defined by infrastructure and AIpowered analytics.

By 2025, modern data architectures will be the standard for forward-thinking organisations. Enterprises will focus on interoperability, efficient AI / ML workload management and hyperscale-neutral platforms that integrate seamlessly with AWS, GCP and Azure. Today’ s data platforms go far beyond storage, they are engines for faster, smarter decision-making across the entire business.
What is a modern data stack?
The modern data stack is a modular ecosystem designed to manage the entire data lifecycle – from ingestion and storage to analysis and AI. Unlike traditional, monolithic solutions, this new approach embraces flexibility, speed and scalability.
Karl Crowther, Vice President – MEA & APAC, Alteryx
A typical stack includes data warehouses or data lakes, such as Snowflake, Redshift or BigQuery, which act as centralised repositories for high-volume, high-speed data. Data integration tools automate the movement and preparation of information, with platforms like Alteryx streamlining workflows and accelerating time to insight. Business intelligence and visualisation tools like Tableau and Power BI then convert raw data into actionable dashboards, while AI and Machine Learning platforms enable predictive analytics and automation, putting powerful insights directly into the hands of business users.
The real innovation lies in how designs allow organisations to scale infrastructure on demand, enable cross-functional collaboration and eliminate data silos.
Data warehouses: the backbone of MEA enterprises
At the heart of the modern data stack lies the data warehouse. Unlike traditional data platforms, data warehouses offer elastic scalability to match growing data needs, cost efficiency through pay-as-you-go models and high-speed performance for real-time querying and analytics. They also enhance
The modern data stack is a modular ecosystem designed to manage the entire data lifecycle.
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