EBOOK:
In this 14-page buyer's guide, Computer Weekly looks at how firms adapt to new behaviors, as well as utilize deep learning to gain better insights and use intelligent analytics apps to enhance interactions.
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.
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:
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.
EZINE:
An issue looking at what products are in demand now in the storage world and what technologies are coming that need to be embraced by the channel.
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.
EGUIDE:
Subtle differences can make a large impact when it comes to picking big data software. This expert guide is designed to help you distinguish between the offerings from top vendors in the big data market, including IBM, Oracle, SAP and Alteryx.
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.
WHITE PAPER:
Predictive analytics have proven business value, especially when it comes to retail and e-commerce. Yet adoption is surprisingly low across the board; and some companies don't see the results that they need. Access this expert guide to learn why predictive analytics are a must-have for the intelligent business and how best to deploy them.
