Articles about Data

Data collection practices receive increasingly more attention and sophistication. Web scraping, and automated acquisition processes in general, changed the nature of data collection so much that old challenges were solved and new problems emerged.

One of them is the selection of data in regards to dynamicity. Since now we’re able to collect unthinkable volumes of information in mere seconds, getting some particular sample is no longer an issue. Additionally, in business, we will often scour the same sources over and over to monitor competition, brands, and anything else that’s relevant to the industry.

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Data is increasingly one of the most valuable resources that businesses have, but extracting that value requires effective management of content.

A new survey from Rocket Software of more than 500 corporate IT professionals across multiple industries in the US, UK and APAC regions shows that business data is still vastly unstructured with 81 percent of respondents indicating that at least some of their data is considered 'dark'.

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September this year marked five years since the notorious Equifax data breach which exposed the social security numbers, birthdates, credit card details, and more of millions of customers.

But how much has the industry learned from this breach? And what measures can be used to help avoid similar issues in the future? We spoke to Ian Coe, co-founder at Tonic.ai to find out why fake data might be the answer.

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Companies can now gather more information about their customers than ever before. But according to a new study data science is not benefiting marketers, with 84 percent of marketing executives saying their ability to predict customer behavior is guesswork.

The report from predictive analytics company Pecan AI, based on surveys carried out by Wakefield Research, finds four out of five marketing execs report difficulty in making data-driven decisions despite all of the consumer data at their disposal.

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Art imitates life, that we all know. But what if art imitates your personal life, your personal likeness and does it so well that the line between what is real and surreal blurs?

Unbeknownst to us, we are becoming models for state-of-the-art AI technology that trains on terabytes of poorly filtered data scraped from all over the web. This data can include our personal photos, medical images, and even copyrighted content -- basically, anything ever posted online.

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While nearly everyone knows that data is important, almost no one is able to use it to its full potential. Each and every organization is generating and using data in daily operations but 98 percent of our recent Data Health Barometer survey cohorts in the UK admitted that their organizations are dealing with challenges in using data effectively. Nearly half say it's not easy to use data to drive business impact at all, which is even worse as we head into a period of potential UK-wide economic uncertainty.

The most significant questions for data professionals are whether they have full visibility of all data that is available across their business to help them make reliable decisions according to that data; an understanding of how exactly the data is relevant to the company overall but also to their own individual role in the business; if they know how to use that data to its full potential in an ever-growing competitive business marketplace and have access to the data they need in real-time, wherever it may be.

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Can you imagine how scary it would be to show up to work one day, ready to dominate, and then BAM! All your confidential files have been stolen, and your computer is now a breeding ground for cyber viruses.

How about if you just launched a new product, which you’ve been advertising for months, and suddenly your website is down, and customers are being redirected to a competitor’s site? Or worse -- you can’t access your online banking account anymore.

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During the pandemic, companies with a strong understanding of their business as a whole, including employees, partners, customers and even suppliers, fared better than those without the ability to review and use data to drive growth.

History has shown that the greatest weapon against uncertainty is information. Understanding your business at a microscopic and holistic level is now more important than ever, as the threat of a recession looms. This means that information must be treated as a central tool in leading all businesses through any potential storm.

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Businesses are starting to recognize the advantages of leveraging data-driven approaches to improve customer experience. These approaches are also hugely valuable when included in strategic roadmaps to increase engagement and return on investment.

Analytical data is ideal for businesses wanting to assess the needs of their target customers to deliver personalized experiences and attain more accurate forecasting and demand planning. Moreover, data from analytics promotes more effective inventory and supply chain management, compounding supply and fulfillment issues businesses are currently experiencing

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Data has become increasingly important for modern businesses and they increasingly expect it to help them improve their delivery to customers and ultimately their bottom line.

We spoke to Dom Couldwell, head of field engineering, EMEA at DataStax to discuss how companies can use data and how they need to adapt their approach to do so effectively.

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According to a new study more than 50 percent of enterprises are managing 5PB or more of data, compared with less than 40 percent that were doing so in the same survey last year.

The 2022 Unstructured Data Management Report from Komprise also shows most are now spending more than 30 percent of their IT budget on storage and backups.

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Data-mature enterprises see a three times improvement in revenue along with shorter time to market, greater profit, improved operational efficiency and great customer loyalty, according to a new report.

The study from IDC and sponsored by analytics specialist Heap shows that how well a company uses data and employs it in its decision making can provide up to a 2.5 times average increase in business outcomes across the board.

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Nowadays there are apps for almost everything. As users they clutter up our phones and tablets, but they present problems for businesses too, in particular the storing and analysis of the data they create.

Data is often tied to a specific app and each app needs its own copy, so enterprises can end up with lots of copies of the same information leading to issues with control, compliance and more.

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Real-time data is a 'must-have' not just a 'nice-to have' according to 78 percent of respondents to a new survey into the data strategies of more than 500 IT leaders.

The study from DataStax finds real-time data pays off in two ways: it leads to increased revenue growth and improved developer productivity. For example, 71 percent of all respondents say that they can tie their revenue growth directly to having real-time data.

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In a new survey 42 percent of respondents say at least half of their data is 'dark data' -- retained by the organization, but never used.

The study from Quest Software, in collaboration with the Enterprise Strategy Group (ESG), highlights the top challenges and innovations in data governance, data management and DataOps.

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