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.
CW Nordics: Nordea links up with IBM to meet fintech challenge
Discover how IBM’s €473m managed services contract with Nordea reflects an increasing trend among Nordic banks to outsource more of their IT to help meet the challenge of fintechs.
News : Big data analytics
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March 31, 2020
31
Mar'20
Hackathon launched to help fight coronavirus pandemic
Virtual hackathon seeks to develop a suite of applications to help people during the Covid-19 coronavirus outbreak through ethically built technology
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March 30, 2020
30
Mar'20
Coronavirus: NHS corrals Microsoft, Palantir and Google to hone data analysis
The NHS has confirmed it is working with Microsoft, Palantir and Google to improve data analysis to make its anti-coronavirus effort more efficient and effective
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March 26, 2020
26
Mar'20
Coronavirus: How data visualisation could build resilience against future pandemics
Qlik.org has been working as part of a collaborative private sector effort to better analyse epidemic information. This could help build resilience against Covid-19, and similar viruses
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March 24, 2020
24
Mar'20
Coronavirus: Mobilising data science
Policy-makers are calling on the global data science community to develop data models that can can help them better understand the Covid-19 transmission rate
In Depth : Big data analytics
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Governing by data: Limits and opportunities
Governing by the use of data analytics may be fashionable, but what are its limits as well as its opportunities? Lessons from Estonia, Essex, and healthcare Continue Reading
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Computational storage: What is it and what are its key use cases?
Computational storage brings the CPU to the storage and so boosts system performance by tackling processing tasks, such as near the edge or in AI/machine learning workloads Continue Reading
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How HR robotics can be good for people
The automation of human resources processes, some of which uses robotic process automation, can benefit humans, as a clutch of Nordic and UK organisations show Continue Reading
Blog Posts : Big data analytics
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Coronavirus: Trust the data
The recent spell of sunny weather, after weeks of torrential rain, brought the masses out. A lovely Spring weekend. If only so. As television and online images revealed, “It was like a bank ... Continue Reading
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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
Opinion : Big data analytics
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Coronavirus and privacy – finding the middle ground
Data collection has a role to play in fighting the deadly Covid-19 coronavirus outbreak, but governments need to be accountable for how it is used Continue Reading
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Our data is making us ‘richer’ – even if it’s the tech companies getting rich
How much do we value our personal data, and how does that compare to the value we think we get from companies like Facebook and Google exploiting that data? Continue Reading
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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
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.