EBOOK:
Companies are switching on to the advantages of big data. In this 13-pagebuyer's guide, Computer Weekly looks at data analytics, how to get value out it and the benefits of process mining.
EZINE:
In this week's Computer Weekly, we find out how fast-food chain KFC turned to digital to survive the pandemic. Our latest buyer's guide looks at technologies to improve office productivity for home workers. And we assess the growing problem of electronic waste and how to tackle it. Read the issue now.
EBOOK:
Access this extensive, expert e-book to uncover the 6 best use cases of big data for 2014. Discover what makes these use cases successful and how you can capitalize on the same basic efforts.
EBOOK:
In this expert handbook, explore the current state of cloud BI and analytics adoption and examine how companies like Lenovo are migrating big data and predictive analytics to the AWS cloud.
EGUIDE:
In this expert e-guide, we explore how organizations across a variety of industries are leveraging SAP's in-memory platform to enhance reporting, analytics, self-service BI, ERP transformation, mobility, and more. Discover which approach to SAP HANA – on premise, in the cloud, or via mobile apps – is best for you.
WHITE PAPER:
The following white paper explores the through the eyes of pioneering analyst, Tom Davenport, on the importance of the data scientist when it comes to success with big data and advanced analytics. Learn how they how they help, how to onboard or create them, and much more.
EGUIDE:
Access this expert e-guide to get real-world strategies and advice on how best to manage your big data warehousing and processing, and common pitfalls to avoid.
EGUIDE:
In this e-guide, experts explain various features and benefits of AWS such as on-demand, reserved and spot instances and which one will fit your needs. Inside, learn why Amazon's new Redshift data warehouse is creating a biz buzz among IT pros.
WEBCAST:
View the following webcast to uncover what you need to know about big data 2.0. Uncover the 6 building blocks of big data 2.0 that drastically differentiate from big data 1.0. Also gain insights to the ways successful organizations are leveraging new analytics to capitalize on big data 2.0 and much more.
