EGUIDE:
For businesses, the ability to deal with big data is important: it can bring companies significant business value, from enabling cost optimization and improved efficiency to providing better customer insight. In this article, we'll explore 8 use cases that show big data's profound impact on businesses across different industry sectors.
RESEARCH CONTENT:
Fewer than 10% of CIOs identified themselves and their companies as being advanced in the journey to incorporate technology into their digital business strategies, Deloitte's 2018 CIO survey reveals in the UK edition of its 2018 global CIO survey, Manifesting Legacy: Looking Beyond the Digtal Era.
EGUIDE:
In this e-guide we shine the light on a number of case studies taken from around the world of data analytics. We delve into a number of Silicon Valley-based startups that are looking to shake up the data analytics industry as well as glimpsing into the future of AI-based analytics, data visualisation tools and the Australian data analytics market.
WHITE PAPER:
Inside, discover how to innovate your existing data governance strategy with the help of an intelligent data catalog. Explore how an intelligent data catalog can help streamline operational compliance with data governance expectations, and decide if an intelligent data catalog is right for your organization's data governance goals.
EBOOK:
With this 3-part ebook, discover how purchase intent data can help your organization gain a competitive advantage in your specific markets. Learn how to evaluate practical applications of B2B purchase intent data for marketing, sales, and ABM. And explore how intent data can help your organization capture more demand, accelerate sales, and more.
PRESENTATION:
A look forward to the 12 months ahead for IT leaders and the key trends of the coming year - this presentation came from Neil Ward-Dutton, research director at MWD Advisors, discussing the business trends affecting IT leaders.
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.
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:
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:
As data preparation tools become increasingly self-service-oriented and cloud-based, more enterprise users are employing them -- and recognizing their importance in their organizations' business intelligence strategies. This infographic shows the state of data preparation in 2019.
