Defending your organization from illegal data's wrath
In today's interconnected world, businesses not only grapple with the management of vast amounts of data but also face the looming threat of illegal data concealed within their digital repositories. This proliferation of illegal data presents a range of risks and challenges that organizations must confront.
Illegal data encompasses a broad spectrum of content or files that contravene laws, regulations, and/or company policy. It includes materials such as pirated software, confidential information obtained through unlawful means, and content that promotes or facilitates illegal activities; as well as content that is simply not acceptable or useful on the corporate network such as holiday videos and cat pics.
Businesses struggle to make decisions due to 'analysis paralysis'
In difficult economic times businesses need to make decisions quickly and data is a key part of enabling those choices.
But research from analytics cloud platform Alteryx shows enterprises are struggling to make timely, insight-driven decisions because of 'analysis paralysis' caused by issues around ownership of and access to data.
More than half of enterprises overwhelmed by data
Today's typical large organization is holding 35 petabytes of data across its systems and this is expected to double by 2025. But 75 percent of IT leaders are concerned that their current infrastructure won't be able to scale to meet this demand.
A new report, from infrastructure specialist Hitachi Vantara, shows that while technologies like generative AI are spurring a goldrush to greater insights, automation, and predictability, they are simultaneously putting pressure on the already-strained infrastructure and hybrid cloud environments on which they run.
Dealing with the data authorization blindspot [Q&A]
User authorization for access to data is complicated. Knowing who has access to what information is often difficult because of complex role hierarchies, different authorization models used for different technologies, and the variety of data that may be accessible across technologies and clouds.
Ben Herzberg, chief scientist at data security platform Satori, believes there's often a blindspot around authorization, but that the issue doesn't have to be as complex as it can seem. We talked to him to learn more.
Data clean rooms: The power of second-party data
A staggering 81 percent of advertisers depend on third-party data to reach customers and understand prospects’ buying habits. Their reliance on this data, however, comes with a problem. Exponential cookie decay, government legislation, and increasing consumer demand for data privacy make accessing this data more difficult.
Many brands are turning to data clean rooms (DCR) as a solution. DCRs help companies leverage second-party data to hone their marketing and advertising. In fact, 80 percent of advertisers with media buying budgets over $1 billion will use DCRs by the end of 2023. So, what makes DCRs so popular? This article will show how DCRs can be an incredibly powerful MarTech tool that fosters collaboration among brands, enabling them to gain insights, form ‘lookalike’ audiences, and advertise directly to their user base.
End of life data risks sustainability targets
Environmental sustainability has a high to moderate influence on their approach to processing end of life (EOL) data for 88 percent of respondents according to a new survey.
But more than a third (39 percent) of enterprises are yet to implement a plan to reduce their data footprint, leaving them at risk of compliance failures in light of upcoming sustainability regulations.
Complex environments mean enterprises can't use a third of their data effectively
New research from hybrid data company Cloudera reveals that organizations currently estimate they are not using 33 percent of their data effectively.
The survey 850 IT decision makers (ITDMs) across the EMEA region shows 72 percent of respondents agree that having data sitting across different cloud and on-premises environments makes it complex to extract value from all the data in their organization.
Trust in data: How start-ups can thrive in the data economy
Data is crucial in today's tech-driven world, with enterprises prioritizing its use in all aspects of their operations. A recent survey shows that 83 percent of CEOs want their organizations to be data-driven. However, the same survey found that only 25 percent of organizations are data-leading companies. This presents a significant opportunity for start-ups to establish themselves at the forefront of the data economy.
The early days of the data economy relied on users handing over their data to access digital services, and companies then monetize that data through advertising. There is now a transition underway where businesses are seeking to improve and broaden how they create, manage, analyze, and extract value from their data. This expansion will expand the data economy's definition and market potential, creating an opportunity for start-ups to create hardware and software that will enable this new era.
Data quality incidents take two days or more to resolve
The latest State of Data Quality survey from Bigeye finds that more than half of respondents have experienced five or more data issues over the last three months.
Another 40 percent say they have experienced moderate to severe data incidents within the last six months, and that it took a major effort to avoid damage to the business. These incidents range from severe enough to impact the company's bottom line, to reducing engineer productivity.
How data and analytics build a stable future for manufacturers
The CHIPS and Science Act promises a bright future for the U.S. semiconductor industry. The legislation aims to increase domestic production capacity, build a stronger workforce and encourage American innovation. But high-tech manufacturers can't sit around waiting to reap the benefits -- they must focus on revenue optimization now to set themselves up for success.
Experts forecast semiconductor demand to surge 6-8 percent per year, requiring manufacturers to double current production. Despite the CHIPS Act inspiring $200 billion in new commitments to U.S. manufacturing, the industry is unlikely to experience significant production capacity growth for several years. What should companies do in the interim? Improve data and analytics processes to build better business practices.
Dealing with data: What to do and where to store it
Today’s digitally-enabled organizations generate huge volumes of data that needs to be stored, maintained, and accessed. Indeed, it’s been estimated that globally, around 2.5 quintillion bytes of data is created every day. A figure that is escalating at a rapid rate as enterprises pursue big data analytics and IoT projects.
Added to which, the rising use of video, rich imaging, and AI applications means that much of this data is 'unstructured'. So much so that according to IDC as much as 80 percent of the world’s data will be unstructured by 2025. All of which adds further complexities into the equation when it comes to storing and preserving data so that it is accessible and available for analysis.
Data: The once coveted resource that has become tricky to extract value from
Traditionally, oil has been the metaphor of choice when discussing the value of data. Like oil, data has been considered a coveted resource that governs the modern world. This is why organizations around the globe preserve vast stores of data even when it has no immediate value. Companies hold onto the asset with the belief that they will call upon it at some point in the future.
But alas, this comparison has become a poor fit in recent times. Data has become risky, expensive to store, hard to extract value from, and a desirable target for adversaries. More businesses are now realizing that data banks bear more in common with the valuable, although hard to extract value from, and dangerous, uranium.
Why talent is key for businesses who want to harness the power of data
For decades, businesses have been using data for growth. Today, the importance of utilizing data to gain insights into customer behavior, market trends and business performance continues to develop. However, harnessing the power of data requires more than just the right tools and technology -- it also requires the right talent.
Technological developments, such as artificial intelligence (AI) and the Internet of Things (IoT), have resulted in data and data analysis providing increasing opportunities for businesses to improve their competitive edge. Data is a valuable resource in all sectors, but it is only useful if it is analyzed, interpreted and applied correctly -- this is where talented individuals with an understanding of data science and analytics come in.
Data mobility -- why it's a must and how to achieve it [Q&A]
Data is still essential for enterprises, but the rise of hybrid working and the adoption of multi-cloud environments has made data mobility and migration a hot topic.
We spoke to Mark Greenlaw, VP of product strategy for Cirrus Data, to discuss data mobility, what's driving it and how organizations need to adapt.
Cloud spending has become a critical performance indicator for data teams
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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