Augmented analytics tools are designed to simplify the BI and analytics process for business users and citizen data scientists. They've become featured elements in new software releases from BI vendors. This e-guide offers insights into the technology's potential uses and critical issues.
As an authority cited in the lead article in this e-guide explains, for many businesses "real time" means more frequent business intelligence reporting or data model updating. And yet, as another article in this e-guide explains, many organisations lack the infrastructure and culture necessary to deliver the required data.
The emergence of disruptive technologies means that businesses aren’t seeing the same returns on BI. Read on to learn more about hyperconverged analytics—an approach to analytics and BI that provides your organization with flexible, real-time, advanced analytics and goes far beyond the scope of traditional BI.
In this expert e-guide, we explore the roles of public and private clouds as well as on-premise systems in big data management. Learn about the potential impact of cloud services on data lakes and analytics; plus, find out how to incorporate cloud-based machine-learning and AI into your big data strategy.
In this expert e-guide, we explore the trends that are projected to dominate big data in the immediate future. Learn about growing data management opportunities in IoT, the rise in machine-learning and self-service data prep tools, cloud-based analytics, and more.
Selling business executives on the value of big data analytics apps is becoming a to-do list item for more IT managers. In this e-guide, we analyze the platforms different companies used to implement Hadoop-based analytics and BI apps. Find out which ones worked for them so you can make a more informed decision about your future in big data.
Patient engagement is widely considered by many healthcare leaders as a critical component of achieving high-quality care. In this issue of Pulse, we examine how healthcare can take cues from consumer technologies to improve care, reduce costs, and strengthen the physician-patient relationship.
Data, data, data – with the advent of IoT, it's both one of the most promising and one of the most missed out on opportunities in the manufacturing industry today. In this e-guide, we explore the world of industrial IoT (IIoT) and how to leverage its massive data with analytics and machine learning.
Organizations that deploy big data platforms are finding that they also need an upgraded data integration framework to meet rising demands. In this expert handbook, uncover advice on how to navigate the demands of big data architectures, high volume data warehousing, and data lakes by updating your data integration strategy.