BI Tools Reports

The technological evolution of IT industry leaders: Part two
sponsored by TechTarget ComputerWeekly.com
EGUIDE: Companies leading the technological evolution have gone through changes. This second part of this e-guide explores the technological evolution of SAP, Microsoft and some business analytics vendors throughout the past two decades.
Posted: 08 Feb 2021 | Published: 26 Feb 2020

TechTarget ComputerWeekly.com

Computer Weekly – 5 February 2019: Technologies to support deep learning
sponsored by TechTarget ComputerWeekly.com
EZINE: In this week's Computer Weekly, we look at the technologies needed to support deep learning and AI applications in your organisation. We hear about Southern Water's data management overhaul and the benefits achieved from centralising its data team. And we examine best practice in managing large-scale Docker implementations. Read the issue now.
Posted: 08 Feb 2021 | Published: 01 Feb 2019

TechTarget ComputerWeekly.com

The future of enterprise IT: Social, mobile, analytics and cloud
sponsored by TechTarget ComputerWeekly.com
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.
Posted: 08 Feb 2021 | Published: 15 Aug 2016

TechTarget ComputerWeekly.com

Economic Vitality Infographic: Handling Demanding Data
sponsored by IBM
RESOURCE: This interactive resource dives into the new world of the data-driven economy, and considers the advantages you can realize with the right skills. Access now to see how your company can stay ahead of the curve, tapping information that is already at your fingertips.
Posted: 11 Nov 2015 | Published: 11 Nov 2015

IBM

How Industrial IoT is Transforming Manufacturing
sponsored by Bayshore Networks
EGUIDE: 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.
Posted: 02 Jun 2017 | Published: 26 May 2017

Bayshore Networks

The Complete Guide to E-signature Technology
sponsored by Adobe Systems Incorporated
EGUIDE: In this e-guide, learn how to streamline your document distribution process through the use of e-signature technology. Discover key differences between e-signature and digital signature applications, and review your software options with Adobe.
Posted: 01 May 2019 | Published: 01 May 2019

Adobe Systems Incorporated

Smarter Building Management: Tapping the Right Data
sponsored by IBM
WHITE PAPER: This whitepaper considers the importance of building operations data, and how tapping this information for deep insights can help reduce overhead cost. Access now for details.
Posted: 10 Nov 2015 | Published: 10 Nov 2015

IBM

How to Plan Your SAP SuccessFactors HCM Suite Implementation
sponsored by AltaFlux
EGUIDE: In this e-guide, SAP expert Luke Marson offers advice on how to plan your SuccessFactors implementation by taking a proactive view of your key pain points and integration needs for Employee Central, HRIS, ERP, and Workforce Analytics.
Posted: 05 Jul 2017 | Published: 23 Jun 2017

AltaFlux

The Evolution of IoT Analytics and Big Data
sponsored by Vitria Technology, Inc.
EGUIDE: In this e-guide, Sisense co-founder Adi Azaria and Machina Research analyst Emil Berthelsen examine the current state of IoT analytics as well as where it's heading next. Learn about the impact IoT is having on everything from Hadoop big data platforms to real-time BI capabilities.
Posted: 17 Jul 2017 | Published: 12 Jul 2017

Vitria Technology, Inc.

Data Science & Analytics: Bridging the Gap & Boosting Success
sponsored by IBM
EGUIDE: In this 2-part expert e-guide, learn how some enterprises, including FICO and Equifax Inc., made the practice pay off. Plus, Sai Devulapalli, Data Analytics Product and Business Leader at Dell, explains how to bridge the gap between academia and industry when it comes to data science and advanced analytics.
Posted: 29 Aug 2017 | Published: 25 Aug 2017

IBM