Business intelligence and analytics
Business Analytics: how AI is augmenting analysis, and bolstering data literacy shortfalls
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.
News : Business intelligence and analytics
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August 06, 2020
06
Aug'20
Spurring digitalisation in Singapore’s tourism sector
The Singapore Tourism Board has developed a digital pass and an analytics service, among other initiatives, to digitalise the city-state’s embattled tourism industry
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August 05, 2020
05
Aug'20
Inside Juniper’s radical IT transformation
Western Australia’s aged care provider Juniper embarked on an aggressive strategy to completely transform its IT operations in just two years
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July 31, 2020
31
Jul'20
ICO launches guidance on AI and data protection
The Information Commissioner’s Office (ICO) has published guidance aimed at rendering the application of machine learning to data compliant with data protection principles
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July 31, 2020
31
Jul'20
IFS CEO Darren Roos: Customer investment in cloud and digital has held up during Covid
Business applications supplier’s chief executive tells Computer Weekly that business has been surprisingly good during the coronavirus crisis
In Depth : Business intelligence and analytics
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APAC buyer’s guide to BI and analytics
In this buyer’s guide, we look at the state of adoption of business intelligence and analytics tools, common use cases and other technology and business considerations Continue Reading
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20 top BI tools and how to choose the right one
To help you buy the right BI tool for your data analysis needs, here's a look at 20 leading technologies, the different types of BI software and key features to look for. Continue Reading
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Decision points in storage for artificial intelligence, machine learning and big data
Artificial intelligence and machine learning storage is not one-size-fits-all. Analytics work differs, and has varied storage requirements for capacity, latency, throughput and IOPS. We look at key decision points Continue Reading
Blog Posts : Business intelligence and analytics
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Data-driven digital transformation: five technology initiatives for the age of Covid-19
This is a guest blogpost by Rich Pugh, co-founder and chief data scientist, Mango Solutions The things we do not know about Covid-19 seem almost endless. There are no clear answers yet to some of ... Continue Reading
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Data for good: building a culture of data analytics
This is a guest blogpost by Dean Stoecker, CEO, Alteryx Major global events force companies to think differently. The Covid-19 pandemic is no exception. In the first few weeks of the crisis, I ... Continue Reading
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The path to true data democratisation
This is a guest blogpost by Ed Thompson, CTO and co-founder, Matillion. Jessica is a data analyst at a leading eCommerce company and is tasked with analysing the usage patterns of the business to ... Continue Reading
Opinion : Business intelligence and analytics
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Is our drinking data-driven?
Caroline Carruthers, CEO of Carruthers and Jackson, cogitates on the balance between gut and data in making personal risk decisions, ahead of a CDO summer school Continue Reading
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Why UK needs independent oversight body for contact-tracing app
The public needs and deserves clarity, and not just assurances, over the UK’s Covid-19 contact-tracing app 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
Videos : Business intelligence and analytics
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Data-driven innovation needed in businesses -- and dog shelters
Innovation driven by data analytics is important, not only to companies, but also to dogs waiting to be adopted in shelters. SAS best practices consultant Jill Dyché explains why.
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Computer Weekly @ 50: The next big things in tech – a developers’ perspective
Leading technology experts discuss the trends in enterprise software and how this will impact future applications
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Self-service push drives new data analytics project processes
SAS consultant and author Jill Dyché discusses how self-service BI and business control of systems affect IT teams and details a novel approach to IT buying that may ease push-pull issues.