Big data analytics
Big data analytics is the often complex process of examining large and varied data sets, or big data, to uncover information -- such as hidden patterns, unknown correlations, market trends and customer preferences -- that can help organizations make informed business decisions.. See complete definition.
Getting to grips with DataOps
Hear from key decision-makers from Altran, Moogsoft, Puppet, Morpheus, Talend, NetApp and PagerDuty about how and why they are adopting DataOps.
News : Big data analytics
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January 23, 2020
23
Jan'20
Air New Zealand taps AI in airside operations
Air New Zealand has teamed up with Auckland Airport to test the use of computer vision to turn around its fleet faster
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January 23, 2020
23
Jan'20
Data Literacy Project research finds UK workers putting off data work
Research from Qlik and Accenture finds a big majority of UK workers lack the data literacy skills and confidence to capture business value from data
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January 20, 2020
20
Jan'20
Russia’s VTB and Rostelecom focus on big data
Russian financial services and telecoms enterprises to create a platform that will allow them and other organisations to utilise big data technology
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January 16, 2020
16
Jan'20
CIO interview: Merck Healthcare’s Alessandro da Luca on supply chain automation era
The CIO of Merck Healthcare, Alessandro da Luca, talks about how his organisation has automated its supply chain using machine learning software from Aera
In Depth : Big data analytics
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Grilling the answers: How businesses need to show how AI decides
As artificial intelligence becomes more widespread, so the need to render it explainable increases. How can companies navigate the technical and ethical challenges? Continue Reading
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Fly by data: How service models drive data collaboration in aerospace
Rolls-Royce has added collaborative data sharing to its fundamental business model shift to servitisation Continue Reading
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Top 10 storage deployment stories of 2019
Here are ComputerWeekly’s top 10 storage deployment stories for 2019, which see quite a move away from traditional SAN and NAS to hyper-converged, software-defined storage and object storage Continue Reading
Blog Posts : Big data analytics
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The Dream Team: why data security, compliance and privacy come hand in hand
This is a guest blogpost by Anthony Di Bello, VP Strategic Development, OpenText Today’s business landscape is littered with valuable data. The rapid adoption of digital technologies, means that ... Continue Reading
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Using data for good, not evil
This is a guest blog post by Cindi Howson, Chief Data Strategy Officer, ThoughtSpot. Nothing illustrates the double-edged nature of data use more vividly than the recent general election in the UK. ... Continue Reading
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The next big thing in analytics: understanding cause and effect in user behaviour
This is a guest blogpost by Adam Kinney: Head of Machine Learning and Automated Insights at Mixpanel When it comes to data, machine learning (ML) is one of the hottest industry trends. But while ML ... Continue Reading
Opinion : Big data analytics
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Security Think Tank: Optimise data-centric strategies with AI
The belief that effective perimeter security is the best way to protect data is a fallacy that is being repeatedly exposed. We must recognise the need for a data-centric security model to protect data from both internal and external threats, but what does this mean for security professionals? Continue Reading
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Security Think Tank: Focus on metrics to manage risk
How can security professionals help their organisations move from traditional governance, risk and compliance to integrated risk management that integrates risk activities from across an organisation to enable better strategic decision making? Continue Reading
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If data really is the new oil, the raw materials need a different economic approach
The International Monetary Fund is the latest to say that data is the new oil – the change agent in the economy – but striking it rich is a complicated matter Continue Reading
Videos : Big data analytics
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How DBS Bank is tapping data analytics to improve customer service
DBS Bank’s managing director & head of consumer banking and big data analytics technology talks up the bank’s data analytics initiatives and how it is fostering a data-driven culture
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Enterprise data lake deepens big data management challenges
Distributed data lakes with Hadoop clusters and other systems create new data management and governance needs that are hard to meet with existing tools, says IT analyst Mike Ferguson.
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'Artisanal' Hadoop environment complicates big data system design
Gartner analyst Merv Adrian discusses why organizations often have trouble with deployments of Hadoop-based big data architectures, and how to avoid the challenges they pose.