Cloud spending is now a critical KPI for the majority of data teams, according to a new report. Almost 80 percent of business stakeholders say cloud spending is a critical KPI while 55 percent of data practitioners say the same.

The study, from data observability platform Unravel Data, surveyed 350 data professionals at the Data Teams Summit event earlier this year and shows that in addition to cloud spending being elevated as a top KPI, 44 percent report that they believe that they are leaving money on the table when it comes to their public cloud utilization.

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The past few years have seen a boom in digital transformation as enterprises have sought to modernize their operations to take advantage of a new, more flexible world of work.

But this change has often led to unwieldy data structures that are difficult to manage, which means that extracting value from the data is harder than it should be.

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A new global survey of nearly 10,000 business leaders shows 80 percent say data is crucial to decision making in their organization.

However, the study from Salesforce also shows that a third lack the ability to generate insights from data, only 29 percent are using data to inform their strategy when launching in new markets, and 67 percent are not using data to decide on pricing in line with economic conditions, such as inflation.

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These days no important topic is worthy of the name if it doesn't have a day devoted to it. Today (January 28) it's the turn of data privacy -- or data protection depending on who you talk to -- to take its turn in the spotlight.

As organizations gather ever more data, concerns around how it is stored and used have grown which has led to legislators taking an interest too.

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A new study from Coveo shows 81 percent of IT and business stakeholders agree that it's hard to engage management when talking about search.

The study of 600 people carried out by Dimensional Research shows 83 percent of respondents say that enterprise search is crucial to digital transformation efforts, but that company leadership rarely talks about it.

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Data is increasingly seen as being among and organization’s most valuable assets and businesses are generating more and more of it.

But of course it has to be stored and kept secure. Much of it is in an unstructured form too, which creates additional challenges. We asked some experts in the data and storage field to give us some predictions for this sector in the coming year.

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It has been estimated that there are some 43 zetabytes of data stored by enterprises today that are inaccessible and not commercialized due to privacy concerns, operational complexity and regulations.

With the California Consumer Privacy Act (CCPA) becoming fully operational on January 1 2023 and other legislation in place or coming around the world, the need for businesses to find new data accessibility methods that are compliance-friendly is very real.

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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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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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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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According to a new study more than 59 percent of data and technology leaders plan to switch their data warehousing solutions and 46 percent say a legacy system is motivating them to do so.

The research carried out by Propeller Insights for Ocient surveyed 500 people who are managing active data workloads of 150 terabytes or more. It finds 97 percent of respondents say the volume of data managed by their organization is set to grow fast or very fast over the next one to five years.

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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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Only 22 percent of organizations have developed a formal DevSecOps strategy integrating security into software development lifecycle processes, according to a new report.

But the study from Mezmo shows an overwhelming percentage of those that do have a strategy report a positive impact on accelerating incident detection (95 percent) and response (96 percent) efforts.

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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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