EGUIDE:
With a robust data architecture in place, a firm's data science team can turn raw data into business insight. We take a quick look at how this can be done.
EZINE:
Asia-Pacific organisations see the importance of having good data protection practices, even as they are still grappling with organisational and operational challenges. In this handbook, Computer Weekly looks at the different levels of preparedness across the region and what firms can do to plug any gaps.
WHITE PAPER:
What companies need are agile analytics tools that help users get insights, and help IT maximize its bandwidth and abilities to help reach business goals. Answer these 5 key questions to help IT pros and business users leverage data.
EGUIDE:
Although data center infrastructure management (DCIM) provide deep insights into your organization's inner-workings, DCIM tools aren't for everyone. This e-guide explores the background of DCIM tools, their current role in your enterprise, and where they fit in the modern data center. See if your organization stands to benefit.
EGUIDE:
In this e-guide, we bring together the latest advice for businesses on what leaving the EU without a deal would mean for your data protection strategy.
WHITE PAPER:
Read on to find details about SAPs BusinessObjects Predictive Analysis, including how the NBA used HANA to help cater to stat-hungry fans.
EBOOK:
This expert e-guide from SearchSecurity.com offers realistic advice to help your enterprise information security team understand what technology and processes must be in place in order to properly and securely take advantage of big data.
EGUIDE:
The key to success is being able to use the data you collected to develop effective CEM strategies. In this expert e-guide, explore how organizations from multiple industries are leveraging insights from data analytics to develop effective customer experience management strategies and give their businesses a boost.
EGUIDE:
Surging big data is changing data modeling techniques and app development cycles. Read on to discover what you should expect from big data's near-future and best practices when it comes to transitioning big data applications into the production stage.
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