As we approach the end of 2024, it’s the perfect time to reflect on a year that has marked a turning point in the realms of technology and data. Over the past twelve months, we’ve witnessed groundbreaking advancements that have not only redefined technological capabilities but have also revolutionized how businesses and individuals interact with data and digital tools.
This year has been a period of accelerated innovation and massive adoption of disruptive technologies.
This year has stood out for the rapid adoption of new technologies, particularly generative AI. This branch of artificial intelligence has drawn interest from experts, businesses, and industries alike, opening up new possibilities and impacting areas such as education, healthcare, manufacturing, and entertainment.
At the same time, data strategies have made notable progress. Advances in analytics, the growing use of self-service BI models, and a stronger focus on data governance and quality have reinforced data’s role in supporting faster, data-driven decisions.
These trends have not only improved how organizations handle information but have also paved the way for more efficient operations and stronger competitiveness.
In this context of ongoing change and opportunity, we invite you to explore the most popular topics in technology and data through the most downloaded e-books and guides of 2024.
This e-book serves as a comprehensive guide for Chief Data Officers (CDOs) and data leaders looking to assess their organization’s maturity in data management and processing.
It introduces the Data Maturity Model, a framework that helps companies identify their current position on the data maturity scale and outline a path toward more strategic and efficient data management.
Our data maturity model divides organizations into five progressive levels: Unaware, Fragmented, Centralized, Governed, and Data-Centric, providing a detailed explanation of each stage.
Companies that understand and improve their data maturity level can better align their data capabilities with their strategic goals, maximizing business impact. This diagnostic tool helps identify areas for improvement, create a clear roadmap, and optimize data investments for more informed decision-making.
Key Benefits for businesses:
This e-book explores the trends shaping the pharmaceutical industry in 2024-2025, highlighting how digitalization, artificial intelligence (AI), and the adoption of emerging technologies are driving innovation and boosting competitiveness in the pharmaceutical sector.
The book covers eight major trends, including data-driven transformation, real-time analytics, Real-World Evidence (RWE), Self-Service BI, and comprehensive management of medical devices.
The pharmaceutical sector is shifting toward a more digital model, focusing on personalization and operational efficiency. This e-book is essential for companies looking to adapt to this evolving landscape by identifying strategic opportunities and adopting key technologies that enhance their processes and outcomes.
This report examines the key trends shaping the global hospitality industry for 2024-2025, focusing on growth in occupancy rates, revenue per available room (RevPAR), and average daily rates (ADR) across major regions worldwide.
The report also includes a detailed continent-by-continent comparison, exploring challenges and opportunities in North America, Europe, Asia-Pacific, the Middle East, Africa, and Latin America. Additionally, it identifies the 10 major trends defining the future of the hospitality sector, such as sustainability, personalization, and technology integration.
This global hospitality trends report is essential for hoteliers, investors, and managers looking to adapt to industry changes and seize emerging opportunities. It provides critical insights to make informed decisions regarding investments, operations, and market strategies in a competitive environment.
Key Benefits for Businesses:
This guide provides a practical solution for businesses looking to analyze Power BI usage data without programming skills or access to the Power BI REST API. It introduces Power BI Analytics as an efficient alternative to monitor productivity and optimize resource management on the platform, overcoming the technical and time limitations of Power BI.
A detailed analysis of Power BI usage data is essential to maximize your investment in the tool and optimize its performance. Without requiring any programming, this guide demonstrates how to access unlimited historical data, evaluate report efficiency, and enhance platform management security.
Key Benefits for Businesses:
This e-book explores the role of color in data visualization and presents 10 effective techniques to minimize excessive use of colors in Power BI visuals and dashboards.
The downloadable guide promotes a strategic approach that prioritizes clarity, professional design, and user understanding, ensuring that visuals remain clear and engaging rather than confusing or overloaded.
Proper use of color in Power BI reports enhances visual communication and ensures accurate interpretation of data.
Key Benefits for Businesses:
This guide addresses the most common challenges businesses face when integrating data using Azure Data Factory (ADF), such as component duplication, lack of centralized control, and misalignment between technical and business objectives.
Poorly structured data integration processes lead to inefficiencies, high costs, and operational risks. This guide provides clear insights into these challenges and offers a practical solution to implement a standardized, scalable, and efficient approach to data integration and management.
Key Benefits for Businesses:
This e-book analyzes and compares the three leading generative AI solutions on the market: Microsoft Copilot, ChatGPT, and Gemini AI. Through a detailed review, it provides a comprehensive overview of each tool’s capabilities, strengths, applications, and key differences.
What’s Inside This E-book?
Why Do You Need It?
If your company is considering adopting generative AI, this e-book is an essential resource to make informed decisions, assess the potential value of each solution, and understand their strategic implications.
A RAG-Powered Intelligent Search Engine combines Retrieval-Augmented Generation (RAG) techniques with large language models (LLMs) to enhance the accuracy and relevance of search results and information generation.
Unlike traditional search engines that rely on exact keyword matches, RAG search engines understand the context and meaning behind queries, delivering more precise and contextual results.
Bismart developed a RAG-powered intelligent search engine for a multinational legal sector company. This tool integrates advanced information retrieval techniques with natural language models to interpret queries and provide accurate, contextual responses, transforming the way the company manages large volumes of unstructured data.
Key Benefits:
A Singapore-based hotel chain operating across Southeast Asia overcame critical operational challenges through the implementation of Hotel Management Dashboards. This success story explores how the solution helped centralize data, enhance information quality for strategic decision-making, and optimize occupancy forecasting.
Why Do You Need It?
In a competitive hospitality market, system integration and efficient data utilization are essential for making agile, data-driven decisions and developing new strategies to enhance the guest experience.
Why Do You Need It?
GenAI is transforming marketing by improving personalization, reducing costs, and enhancing creativity. This guide helps companies integrate GenAI effectively, maximizing its impact while mitigating risks and aligning the technology with strategic objectives.
Download the GenAI guide for CMOs to build more effective and personalized marketing strategies, as well as agile and optimized operational processes.
2024 has undoubtedly been a year defined by the rise of Generative AI. However, other technologies have also made a significant impact on the business landscape.
Retrieval-Augmented Generation (RAG), data maturity models, data integration and management, and reporting platforms like Power BI have played a crucial role in driving the digital transformation of organizations.
These technologies stand out for their practical impact and their ability to continue enhancing efficiency and analysis in an increasingly data-driven business environment.