EGUIDE:
In this e-guide we discuss why data integration and preparation are the unsung heroes of modern BI and advanced analytics. More so than ever, it would seem, due to the ever-increasing volume and variety of data.
ESSENTIAL GUIDE:
Computer Weekly's CW500 Club heard from IT leaders plotting a roadmap to software-defined everything - this presentation was given by Steven Armstrong, principal automation engineer at Paddy Power Betfair.
EZINE:
In this week's Computer Weekly, our latest buyer's guide examines the emerging innovations and best practice in mobile app development. We find out how Microsoft and Amazon are opening up their artificial intelligence tools to developers. And GE's CIO discusses the digital transformation of one of the world's industrial giants. Read the issue now.
EGUIDE:
Old-school business intelligence (BI), although still important, is no longer at the cutting edge of modern IT projects. However, as the TechTarget 2016 spending survey shows, business intelligence is very much a priority for corporate IT.
EZINE:
In this week's Computer Weekly, we find out how the All England Lawn Tennis Club is working with IBM to use data analytics to engage with fans of the Wimbledon championships. We examine whether IT automation will kill jobs or solve the skills gap. And we look at the issues around data portability in the cloud. Read the issue now.
EGUIDE:
Mobile and data technologies are allowing organisations to provide service levels not even dreamt of a few years ago. This guide looks at some examples of these technologies transforming organisations in Australia.
EZINE:
In this week's Computer Weekly, we talk to the Office for National Statistics about the important role data plays in the battle against Covid-19. We also look at the speedy deployment of the Scottish contact-tracing app and report on a discussion about the UK government's delayed response to its digital identity consultation. Read the issue now.
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:
The BI market is wide and varied, and ever evolving. Get the help you need navigating the vibrant options available to your business by downloading and reading this expert guide to BI and analytics tools.
