The Data Dilemma: Navigating Compliance and Accessibility in a Sea of Information
May 3, 2025, 12:48 am
Location: United States, New York
Employees: 201-500
Founded date: 2009
Total raised: $5M
In the digital age, data is the new oil. It fuels decisions, drives innovation, and shapes strategies. Yet, like oil, it can be messy and difficult to manage. Recent surveys reveal a troubling reality: organizations are drowning in data, but many are unable to harness its power. Compliance and accessibility are two major hurdles that companies must overcome to thrive.
A recent survey by Splunk highlights that 69 percent of IT and cybersecurity professionals view compliance as a significant barrier to effective data management. This is not just a minor inconvenience; it’s a roadblock that can derail entire strategies. When compliance becomes a burden, organizations struggle to keep their data secure and organized. This chaos leads to poor decision-making, with 71 percent of respondents admitting that compliance issues have hindered their ability to make informed choices.
The consequences are dire. Organizations that fail to manage their data effectively face competitive disadvantages. A staggering 46 percent of professionals reported that compliance failures have cost them market share. It’s a harsh reality: in a world where data drives success, those who can’t manage it risk being left behind.
Data volume is another beast to tame. Sixty-seven percent of respondents in the Splunk survey cited managing data growth as a top challenge. The sheer volume of information can overwhelm even the most seasoned professionals. Data redundancy compounds the problem, with 59 percent of organizations reporting increased duplication. This not only complicates compliance but also inflates costs. Ninety-one percent of respondents noted rising data management expenses, driven by both increasing data volumes and shifting regulations.
Organizations are trying to adapt. Many are migrating data to cloud infrastructures, with 76 percent reporting increased cloud usage over the past two years. This shift aims to consolidate data sources and improve visibility. However, simply moving data isn’t enough. It requires a strategic approach to ensure that the data is not only accessible but also actionable.
The findings from Splunk suggest that a well-structured data management strategy can enhance security. Organizations that implement data tiering report significant benefits. Fifty percent noted reduced storage costs, while others experienced faster access to frequently used data. This streamlined approach not only cuts costs but also improves decision-making speed. When data is organized and accessible, organizations can respond to threats more effectively, with 79 percent of data management leaders reporting faster response times.
Yet, even with these strategies in place, a disconnect remains. A report from Sisense reveals that 76 percent of enterprises have made decisions without consulting available data. Why? Because accessing that data is too difficult. Despite believing they have control over their data, 64 percent of organizations struggle to access it reliably for decision-making. This gap between data availability and usability is alarming.
Analytics bottlenecks are stifling innovation. Fifty-six percent of organizations reported delays in product releases due to analytics challenges. This is not just a minor setback; it represents lost opportunities and revenue. AI initiatives are also suffering, with 66 percent of organizations identifying potential use cases that remain unimplemented due to integration issues.
The irony is palpable. Companies invest millions in data infrastructure, yet they fail to create value from it. The key lies in making insights readily available at the decision point. Like a smartphone alerting you when your battery is low, businesses need timely notifications when critical data requires attention. This is where embedded analytics come into play. Eighty percent of professionals believe that invisible, embedded analytics will be crucial for future success.
Organizations recognize the need for seamless integration. Seventy percent consider no-code analytics development essential for growth. This democratizes data access, allowing more employees to engage with analytics without needing a technical background. It’s about breaking down barriers and empowering teams to make data-driven decisions.
If analytics were seamlessly integrated, organizations would focus on improving customer service, developing new products, and pursuing strategic initiatives. These are the areas where data can drive real change. But first, companies must tackle the compliance and accessibility challenges that hinder their progress.
In conclusion, the data landscape is fraught with challenges. Compliance and accessibility are two major obstacles that organizations must navigate. The stakes are high; failure to manage data effectively can lead to poor decision-making and lost opportunities. However, with the right strategies in place, organizations can turn these challenges into opportunities. By embracing data management best practices and investing in seamless analytics integration, companies can unlock the full potential of their data. In this digital age, those who can harness the power of data will emerge as leaders in their industries. The journey may be complex, but the rewards are worth the effort.
A recent survey by Splunk highlights that 69 percent of IT and cybersecurity professionals view compliance as a significant barrier to effective data management. This is not just a minor inconvenience; it’s a roadblock that can derail entire strategies. When compliance becomes a burden, organizations struggle to keep their data secure and organized. This chaos leads to poor decision-making, with 71 percent of respondents admitting that compliance issues have hindered their ability to make informed choices.
The consequences are dire. Organizations that fail to manage their data effectively face competitive disadvantages. A staggering 46 percent of professionals reported that compliance failures have cost them market share. It’s a harsh reality: in a world where data drives success, those who can’t manage it risk being left behind.
Data volume is another beast to tame. Sixty-seven percent of respondents in the Splunk survey cited managing data growth as a top challenge. The sheer volume of information can overwhelm even the most seasoned professionals. Data redundancy compounds the problem, with 59 percent of organizations reporting increased duplication. This not only complicates compliance but also inflates costs. Ninety-one percent of respondents noted rising data management expenses, driven by both increasing data volumes and shifting regulations.
Organizations are trying to adapt. Many are migrating data to cloud infrastructures, with 76 percent reporting increased cloud usage over the past two years. This shift aims to consolidate data sources and improve visibility. However, simply moving data isn’t enough. It requires a strategic approach to ensure that the data is not only accessible but also actionable.
The findings from Splunk suggest that a well-structured data management strategy can enhance security. Organizations that implement data tiering report significant benefits. Fifty percent noted reduced storage costs, while others experienced faster access to frequently used data. This streamlined approach not only cuts costs but also improves decision-making speed. When data is organized and accessible, organizations can respond to threats more effectively, with 79 percent of data management leaders reporting faster response times.
Yet, even with these strategies in place, a disconnect remains. A report from Sisense reveals that 76 percent of enterprises have made decisions without consulting available data. Why? Because accessing that data is too difficult. Despite believing they have control over their data, 64 percent of organizations struggle to access it reliably for decision-making. This gap between data availability and usability is alarming.
Analytics bottlenecks are stifling innovation. Fifty-six percent of organizations reported delays in product releases due to analytics challenges. This is not just a minor setback; it represents lost opportunities and revenue. AI initiatives are also suffering, with 66 percent of organizations identifying potential use cases that remain unimplemented due to integration issues.
The irony is palpable. Companies invest millions in data infrastructure, yet they fail to create value from it. The key lies in making insights readily available at the decision point. Like a smartphone alerting you when your battery is low, businesses need timely notifications when critical data requires attention. This is where embedded analytics come into play. Eighty percent of professionals believe that invisible, embedded analytics will be crucial for future success.
Organizations recognize the need for seamless integration. Seventy percent consider no-code analytics development essential for growth. This democratizes data access, allowing more employees to engage with analytics without needing a technical background. It’s about breaking down barriers and empowering teams to make data-driven decisions.
If analytics were seamlessly integrated, organizations would focus on improving customer service, developing new products, and pursuing strategic initiatives. These are the areas where data can drive real change. But first, companies must tackle the compliance and accessibility challenges that hinder their progress.
In conclusion, the data landscape is fraught with challenges. Compliance and accessibility are two major obstacles that organizations must navigate. The stakes are high; failure to manage data effectively can lead to poor decision-making and lost opportunities. However, with the right strategies in place, organizations can turn these challenges into opportunities. By embracing data management best practices and investing in seamless analytics integration, companies can unlock the full potential of their data. In this digital age, those who can harness the power of data will emerge as leaders in their industries. The journey may be complex, but the rewards are worth the effort.