Decision Support Systems (DSS) have transformed over six decades — from early interactive tools and spreadsheets to intelligent platforms powered by AI and autonomous agents. This article traces that journey and explores what lies ahead, from cloud and big data to quantum computing and ethical design.
Business Intelligence in logistics provides real-time visibility, reduces costs, and enables smarter decisions across warehouse, transport, finance, and customer operations. In this article, we examine how integrated data platforms enhance logistics performance, improve supply chain efficiency, and provide companies with the clarity they need.
The telecommunications industry is built on facts. Network traffic, service levels (SLAs), and cost trends are visible in the data long before they appear in reports or presentations. A data-driven approach means treating performance, reliability, and costs as things you can measure — and letting those measurements guide how platforms are designed. In this article, we share our own experience from working with telecom projects in Azure — showing how data shaped our design choices and how decisions based on evidence led to better results.
Modern food production relies on multiple systems to manage planning, inventory, production, and quality, but these systems often operate in isolation. This makes it difficult to answer basic questions like: What can we realistically produce this week? Where are we losing efficiency? Was this batch profitable? In this article, we explore how connecting data from across the factory floor creates real-time visibility, better decision-making, and a real competitive edge.
Cities today have vast data resources at their disposal. But without the right tools, those resources remain scattered and hard to apply. Business Intelligence (BI) doesn’t replace expertise — it enhances it. It organizes knowledge, facilitates collaboration across departments, and improves how decisions are made. In practice, that means more precision, fewer doubts, and better use of time and resources. Read this article to learn more about BI in Urban decisions.
Still making hotel decisions based on guesswork?
Learn how data analysis can bring clarity to your daily operations. This article shows how hotel managers can combine information from booking systems, guest databases, and finances to get a full picture of what’s really happening and make faster, smarter decisions without overhauling their entire IT setup.
Transitioning from on-premise to cloud computing, businesses encounter hidden complexities and performance impacts, unmentioned by vendors. This shift requires a nuanced understanding of cloud services for optimal architecture, balancing cost and performance in a landscape where physical hardware still plays a crucial role.
Facing the need to modernize its data processing, an investment fund shifted from SSIS to Snowflake for its cloud scalability, integrating diverse data sources into a new reporting system. Automating data loading with Azure Event Hub increased efficiency, reduced costs, and enhanced system flexibility, showcasing the benefits of technology transformation in finance.
