EGUIDE:
In this e-guide, read more about the trends that are shaping the demand for AI and how organizations including healthcare service providers and F1 racing teams are leveraging technology on their own terms.
EGUIDE:
In this e-guide, learn about the state of adoption of data analytics in Australia, how Commonwealth Bank is making analytics tools more accessible to small companies and how SAS is prepping its marketers for the data flood.
DATA SHEET:
At Coles, one of Australia's largest retailers, automation, artificial intelligence (AI) and data analytics are being used to optimise everything from its supply chain through to picking and pricing efficiencies.
ESSENTIAL GUIDE:
This guide from Vodafone explains how to introduce flexible working, what technologies to consider and how to succeed at implementation.
EBOOK:
Discover how to craft data-first CRM strategies and get tips about coordinating data sources for effective CRM, 5 ways to reduce risks for Salesforce deployments, and the pros and cons of current CRM software offerings.
ESSENTIAL GUIDE:
This research from Deloitte identifies the areas with the biggest immediate opportunity for retail and consumer packaged goods (CPG) businesses looking to invest in blockchain technology.
RESOURCE:
Many modern BI vendors are working on adding an AI offering. Read this guide to find out which product has successfully integrated AI into their tools.
EGUIDE:
View this e-guide to learn how accounting and finance teams can improve productivity, maintain compliance, and boost fraud protection through the incorporation of AI-based systems.
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.
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.
