Data democratization is the practice of making digital data available to the average non-technical user of information systems without requiring IT’s assistance. End of a reign A few data analysts with the knowledge and skills to properly arrange, crunch, and interpret data for their company had wielded enormous power over

The industrial revolution, which took place in the last several years, has been the most significant transformation ever faced by the industrial sector. It covers all of today’s cutting-edge technology trends, including autonomous cars, smart connected devices, sensors, computer chips, and other technologies. This metamorphosis was caused by advances in

The UK’s digital watchdogs are seeking views on algorithmic processing and auditing, as well as areas of common interest between the organizations, in order to simplify and shape future cooperation. Benefits and harms of algorithmic processing are being discussed The Digital Regulation Cooperation Forum (DRCF) was formed in July 2020

The healthcare industry, like many sectors, is undergoing a substantial data-driven transformation. New technologies like telehealth platforms and the internet of things (IoT) generate more granular medical data and make it more accessible. While this has many benefits, it also raises considerable healthcare data security concerns. There were 714 healthcare

Artificial Intelligence in sports makes its presence felt in every corner of the world, from post-game analysis to in-game action to fan experience. If you watched the movie Moneyball, you must be in your element about how data-driven performance optimization in sports works and changes the games we dearly love

The amount of data we create is increasing by the hour, which has resulted in organizations struggling to deal with data accumulation and analysis. Things can get chaotic pretty quickly with IoT devices, applications, manual entry, and many other sources constantly generating data with different or no structures. Anyone who

Data as a service (DaaS) is a data management approach that uses the cloud to offer storage, integration, processing, and analytics capabilities through a network connection. The DaaS architecture is based on a cloud-based system that supports Web services and service-oriented architecture (SOA). DaaS data is stored in the cloud,

Combining data from various sources into a single, coherent picture is known as data integration. The ingestion procedure starts the integration process, including cleaning, ETL mapping, and transformation. Analytics tools can’t function without data integration since it allows them to generate valuable business intelligence. There is no one-size-fits-all solution when

What do data governance practices help for? Or we should ask first, do you know where to seek out particular data in your company, or who to contact for it? Businesses that are still in their early phases understand the importance of data-driven choices in boosting their financial performance. A

Real-time data is more critical than ever. We need it for quick decisions and pivot timely. Yet, most businesses can’t do this because they must upgrade their software and hardware to cope with real-time data processing’s demanding performance and scale standards. And when they can’t, we are left with stale