Data
Top 10 Data as a Service Companies in 2024
Data as a Service (DaaS) refers to a cloud computing service model where data is provided on demand to users, applications, or systems, usually on a subscription basis. Service providers collect, process, and manage diverse datasets, making them available to users for various purposes.
Leveraging Data Warehousing Business Intelligence in 2024
It is crucial to understand that the effective use of data contributes to making informed decisions. According to McKinsey, data-driven organizations are 23 times more likely to acquire customers and 6 times more likely to retain these customers.
Data Transformation in 2024: 5 Challenges & Best Practices
In today’s digital expansion and digital transformation era, data has emerged as the cornerstone in many sectors, underpinning decision-making processes in business, government, health, and more. The advent of generative AI even elevated the importance of data and its use cases.
Data Compliance in 2024: Best Practices & Challenges
Data plays a crucial role in the daily operations of organizations. With more data being collected and processed than ever, protecting sensitive information and following relevant data security rules are essential. Data compliance is important not only for legal reasons but also for managing insider threats and maintaining a strong customer reputation.
Machine Learning in Data Integration: 8 Challenges & Use Cases
Integrating and analyzing data from disparate sources effectively has become paramount. Data integration, while crucial, often presents numerous challenges, ranging from managing data quality to ensuring security. As organizations grapple with these obstacles, Artificial Intelligence (AI) and Machine Learning (ML) are emerging as transformative technologies, offering innovative solutions to simplify and enhance data integration processes.
Data Quality in AI: Challenges, Importance & Best Practices in '24
The rapid advancement of artificial intelligence (AI) and machine learning has benefited various industries, including finance, healthcare, manufacturing and entertainment. The main obstacle to deploying and carrying out artificial intelligence and machine learning projects and operations, according to a 2019 report, is poor data quality.
Guide To Machine Learning Data Governance in 2024
In this article, we explain machine learning data governance. We explain its key principles, benefits, use cases, best practices, and our future expectations of data governance.
Data Observability: A New Frontier for Data Reliability in 2024
In this article we explain data observability to inform business leaders since it has been gaining attraction since 2021. We explain its importance, use cases, benefits, and best practices.
Data Mesh vs. Data Lake: Choosing the Right Tools in 2024
In this article, we explain the differences between data mesh and data lake. Specficially, we explain their advantages and disadvantages, their challenges during implementation, and the future of data management.
7 Master Data Management Use Cases in 2024
In this article, we explain 7 master data management use cases. Master data management has been frequently searched since the 2020s.