BIG DATA & IoT INSIGHTS
Expert insights into big data, Internet of Things, and beyond
Recent Big Data Insights
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6 ways big data analytics can improve insurance claims data processingWhy make analytics a part of your insurance claims data processing? Because adding analytics to the claims life cycle can deliver a measurable ROI.
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How data visualisation helps crack down on crimeAcross the world, law enforcement agencies are making more intensive use of data visualisation technologies. They gain a real-time view of locations, layered with crime, traffic, geospatial, weather and other data. This means decisions are based on solid, robust data and resources allocated to guide intervention and crime prevention. Data visualisation can make this possible for you too.
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Modern manufacturing's triple play: Digital twins, analytics & IoT IoT-powered digital twins revolutionize manufacturing with real-time data analysis, predictive maintenance and optimized production. Discover their transformational impact.
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What is a data lake & why does it matter?A data lake is a storage repository that quickly ingests large amounts of raw data in its native format. As containers for multiple collections of data in one convenient location, data lakes allow for self-service access, exploration and visualisation. In turn, businesses can see and respond to new information faster.
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5 ways to measure beehive health with analytics and hive-streaming dataThis analytical approach to understanding bee hive health can automatically alert beekeepers to changes in hive weights, temperatures, flight activity and more.
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Edge computingWith traditional methods, data is captured, stored and analysed later – limiting how quickly businesses can act on insights from the data. With edge computing, IoT data is processed at the edge of a network – right where it’s created or collected – avoiding delays and enabling real-time processing and action.
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IoT: The customer experience accelerator you can't afford to ignoreIoT represents a powerful source of data that, when combined with analytics, can yield insights on everything from behaviour to emotions to health. And that's why it's key to improving customer experience.
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How to drill a better hole with analyticsFrom drilling holes to preventing health care fraud, learn about some of the new technologies SAS has patented with IoT and machine learning technologies.
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IT/OT convergence: The dilemma of the IoT perception gapTom Bradicich explains why IT/OT convergence is essential for successful IoT projects.
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What big data has brought to the privacy discussionHow does big data impact your privacy? There are ways to balance privacy and security in an increasingly transparent and dangerous world.
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IoT in health care: Unlocking true, value-based careGiven the potential of IoT – and the challenges of already overburdened health care systems around the world – we can’t afford not to integrate IoT in health care.
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Game-changing technologies turn IIoT data into goldThe real value of IoT lies in its data. Maciej Kranz says technologies like edge and fog computing, machine learning and AI can unlock the hidden value in data from the IIoT.
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Big data in government: How data and analytics power public programsBig data generated by government and private sources coupled with analytics has become a crucial component for a lot of public-sector work. Why? Because using analytics can improve outcomes of public programs.
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Meet the data scientist: Kristin CarneyWhen Kristin Carney graduated with a BS in mathematics, she wasn't sure what she wanted to do with her degree. That’s when she began researching data science.
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Meet the data scientist: Daymond LingDaymond Ling believes the right personal traits are more important than technical skills when it comes to being a successful data scientist.
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Meet the data scientist: Colin NugterenData scientist and CAO Colin Nugteren says while every day is different, one thing remains the same. He ends each day with SAS® Visual Analytics.
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Machine learning, data science and AI meet IoTIn this video, Kirk Borne and Michele Null discuss the intersection of machine learning, AI and data science with IoT data and analytics.
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The connected consumer: IoT's impact on the future of retailThe IoT and the connected consumer are set to revolutionise retail. Here are a few ways companies can take advantage of technology advancements.
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Connected vehicles: IoT steers a new direction for OEMsWith IoT and analytics, automakers and their partners can reshape business models, find new ways to monetise data and serve customers better.
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IoT challenges in the connected supply chainThe IoT Is set to revolutionise supply chain management, but there are certain challenges it must overcome first. Here’s what you need to know.
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Artificial intelligence, machine learning, deep learning and moreArtificial intelligence, machine learning and deep learning are set to change the way we live and work. How do they relate and how are they changing our world?
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Supporting indigenous communities with analyticsThough indigenous women are a small part of Canada's population, they account for a disproportionately large number of Canada's murder victims. Now, big data and analytics are being used to help improve outcomes.
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IoT in manufacturing: Voices from the fieldThe Internet of Things (IoT) is a transforming the manufacturing industry. Learn how the concept of connected devices can power smart manufacturing.
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The opportunity of smart grid analyticsWith smart grid analytics, utility companies can control operating costs, improve grid reliability and deliver personalised energy services.
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The future of IoT: On the edgeFrom cows to factory floors, the IoT promises intriguing opportunities for business. Find out how three experts envision the future of IoT.
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Data lake and data warehouse – know the differenceData lake – is it just marketing hype or a new name for a data warehouse? Find out what a data lake is, how it works and when you might need one.
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5 machine learning mistakes and how to avoid themMachine learning is not magic. It presents many of the same challenges as other analytics methods. Learn how to overcome those challenges and incorporate new techniques into your analytics strategy.
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What is Data Governance & Why Does It Matter?Insights to the dangers for organisations failing to effectively manage their data, using mismatched tools & provide solutions to the problems faced.
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Three C’s of the connected customer in the IoTTo optimise the connected customer experience, Blue Hill Research says organisations should build an IoT model based on three key features.
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Can data sharing lead to cancer discoveries?Clinical trials can bring new drugs – and new hope – to the market for cancer patients. Now, a new data sharing platform for clinical trial data brings even more hope.
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Choosing the right statistical analysis toolsThe GDPR and PSD2 will force businesses, especially banks, to overhaul existing processes in the name of data protection. But what can they do to prepare?
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What are the applications of machine learning? Find out what's needed to capitalise on big data for a significant impact your investigators' work and outcomes.
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Predictive modelling, analytics and machine learningFind out what's needed to capitalise on big data for a significant impact your investigators' work and outcomes.
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What is Shadow IT – and can you utilise it?Shadow IT is the usage of external IT systems within an enterprise without organisational approval – but can these systems be utilised?
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Preparing for PSD2 and GDPR – how to develop a compliant strategy The GDPR and PSD2 will force businesses, especially banks, to overhaul existing processes in the name of data protection. But what can they do to prepare?
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Big data: The gold mine of investigative policingFind out what's needed to capitalize on big data for a significant impact your investigators' work and outcomes.
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Big data: The gold mine of investigative policingFind out what's needed to capitalise on big data for a significant impact your investigators' work and outcomes.
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What is Shadow IT – and can you utilise it?Shadow IT is the usage of external IT systems within an enterprise without organisational approval – but can these systems be utilised?
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AI and Machine Learning in BusinessFind out what's needed to capitalise on big data for a significant impact your investigators' work and outcomes.
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A guide to the types of machine learning algorithmsFind out what's needed to capitalise on big data for a significant impact your investigators' work and outcomes.
Big Data: The Basics
Big Data: The Basics
For most organisations, big data is the reality of doing business. It’s the proliferation of structured and unstructured data that floods your organisation on a daily basis – and if managed well, it can deliver powerful insights.
Imagine being able to analyse data to determine the root cause of failures. Or detect fraudulent behaviour before it affects revenue. Implementing the right solutions to make the most of your big data – from data management to analytics – can be key to your business success.
What is big data?
For most organizations, big data is the reality of doing business. It’s the proliferation of structured and unstructured data that floods your organization on a daily basis – and if managed well, it can deliver powerful insights.
Imagine being able to analyze data to determine the root cause of failures. Or detect fraudulent behavior before it affects revenue. Implementing the right solutions to make the most of your big data – from data management to analytics – can be key to your business success.
What is big data analytics?
As data floods your organisation on a daily basis, the question is no longer "What is big data?" It’s "What can we do with the big data we have?" The answer, of course, is integral to the future of your business. With big data analytics, you can implement data mining, predictive analytics, text mining, forecasting and optimisation to explore options and make the best possible business decisions.
What is Hadoop?
Organisations with massive volumes of data are turning to Hadoop to extract value from all that information. But what is Hadoop, exactly – and how can it help your organisation? Learn how Hadoop is evolving to meet the big data challenges of today and tomorrow. And how you can take advantage of data management, data visualisation and analytics to get faster, more meaningful insights from your Hadoop environment.
What is data visualisation?
Some say seeing is believing. But when it comes to data visualisation, seeing is understanding. When your data comes to life in charts and graphs, you start to see things you’ve never seen before. Trends. Truths. Solutions that give you an edge over the competition. And now that big data has become pervasive in most organisations, data visualisation is key to putting it in perspective.
What is the internet of things (IoT)?
Connecting our cars, homes, gadgets and machines to the Internet creates a network of connected objects called the Internet of Things. How can the data streaming to and from these objects be understood to benefit your organisation, improve your daily routine or address society’s biggest challenges? Find out now.
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