EGUIDE:
Business intelligence and analytics is an ever-changing landscape. In this 20-page buyer's guide, Computer Weekly looks at firms' search for data scientists, how modern business intelligence works for big data and the role DevOps can play in navigating a data onslaught.
EGUIDE:
Artificial Intelligence and human analysis have been coming together in recent years. Whether using packaged BI and data preparation tools, or languages like Python and R, business analysts and data scientists and engineers alike have been exploring the use of machine learning algorithms to augment their data analyses. Read more in this e-guide.
EGUIDE:
Find out how Australia-based property developer Lendlease is using digital twins, data analytics and automation to break the bulwark of rising costs and declining productivity in the construction sector.
EGUIDE:
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.
WHITE PAPER:
Access this white paper to learn how you can leverage existing BI and data management capabilities and add on to them in logical ways to become a modern, self-service organization, driven by data.
EGUIDE:
Business intelligence and analytics is an ever-changing landscape. In this 20-page buyer's guide, Computer Weekly looks at firms' search for data scientists, how modern business intelligence works for big data and the role DevOps can play in navigating a data onslaught.
ANALYST REPORT:
Business intelligence is being augmented by machine learning, AI, and DevOps practices, allowing line of business employees access to expanded, advanced insight. Access Forrester Wave report covering Q3 of 2021’s Augmented BI Platforms to learn which augmented BI platforms are setting trends and providing leading services in this expanding market.
EGUIDE:
This expert guide gives you an understanding of the differences between real-time and near-real-time analytics and explores cloud platform choices are when it comes to real-time analytics. In addition, explore why telcos need real-time analytics to fuel their success and how to accomplish this.
