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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As the volume of data continues to grow at an unprecedented rate, organizations often struggle to manage the health and quality of their data sets.

To deal with this IBM has announced that it's acquiring Israel-based Databand.ai, a provider of data observability software that helps organizations fix issues with their data, including errors, pipeline failures and poor quality before it impacts their bottom-line.

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The benefits of 5G could be worth up to £7bn ($8.5bn) a year to the UK economy by 2030, but more needs to be done to ensure the country doesn't miss out on the benefits.

Research from Vodafone shows that while the 5G rollout has so far focused on major cities, towns and smaller cities are at risk of losing out.

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The increasing threat of data breaches and ransomware is leading more business to encrypt all of their data according to a new report.

The report, from hardware-encrypted USB drive maker Apricorn, is based on a study of 100 UK IT decision makers carried out by Vanson Bourne and finds 47 percent now require the encryption of all data both at rest and in transit.

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Web scraping -- collecting data from websites -- has been around almost as long as the internet has existed. But recently it's gone from a little-known niche to a serious activity, using automation to collect large amounts of information.

We spoke to Julius Černiauskas, CEO of data acquisition company Oxylabs to find out more about web scraping and how it has evolved.

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The phrase "information is the new oil" is tossed about with relative abandon these days. Data is undoubtedly one of the most critical elements in a successful 21st century business, but its utility only becomes apparent after it has been subjected to some kind of thoughtful analysis.

For many businesses, this is where the struggle begins; how can we extract meaningful insights from data quickly, efficiently and effectively? How do we shorten the lag between the moment a new data point is generated and the time that data becomes available to business analytics tools or a real-time machine learning (ML) model?

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Integration Platform as a Service (iPaaS) is the most important factor in competitiveness, say 74 percent of companies in a new survey.

The research, carried out by Forrester Consulting for Celigo, also shows that 67 percent of respondents from organizations that don't have iPaaS say a lack of visibility into the data needed to make real-time decisions and a lack of data integrity due to manual data entry, delays, incompleteness and errors are major challenges of their firms' current SaaS landscapes.

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Almost all (99 percent) of IT decision makers say they have backup strategies in place, but 26 percent admit they were unable to fully restore all data or documents when recovering from a backup.

These findings come from a survey conducted for encrypted USB drive company Apricorn by Vanson Bourne, which also finds that 27 percent have automated backups to both central and personal repositories.

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Of the many challenges thrown up by the pandemic, the switch to remote working has perhaps been one of the most significant.

How have organizations coped with this change, what will the long term effects be and what's the role of data in making hybrid work possible? We spoke to Mark Devereux, CTPO of Scalable Software, to find out.

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Data and analytics are instrumental to helping organizations successfully solve problems and 84 percent of organizations have either already deployed or have data-driven projects on their roadmaps.

A new study from Foundry shows data-driven projects continue to accelerate as 34 percent of organizations state that they have already deployed or implemented them compared to 28 percent of organizations saying the same in 2021.

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Change introduces risk. It’s one of those foundational principles of software development that most of us learned very early in our careers. Nevertheless, it always seems to keep cropping up in spite of those repeated life lessons. Our inability to foresee the impact of changes, even small ones, often leads to negative outcomes.

As the complexity of interconnected IT systems has increased, this problem has grown worse. It’s harder and harder to predict how even a small modification might impact systems upstream or downstream of the change. Data lineage accomplishes that, but it’s extraordinarily difficult to do data lineage well.

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