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Big Data
Most organizations recognize the promise of data as a transformational decision-making tool, but far fewer are realizing the benefits of big data analytics software. What’s holding them back?
According to a survey conducted by the Business Application Research Center, only 6 percent of surveyed companies report no roadblocks to using big data. The rest - companies around the globe and across different industries - identify various barriers. Up to 53 percent of the survey respondents say inadequate technical or analytical know-how within their organizations is slowing adoption. Among 38 percent of companies, the lack of compelling business case or cost are issues. And nearly one-quarter struggle to make big data digestible for end users. Overcoming these obstacles will help organizations forge a path to improved performance and growth.
5 Vs Big Data Challenge
Why is working with big data so difficult? It comes down to several factors, which research and advisory leader Gartner first introduced as the Vs of big data in 2001.
Nexis® Data as a Service
Nexis® Data as a Service addresses the challenges of the five Vs of big data with its four main advantage.
After 45+ years providing solutions that help organizations harness the power of information, LexisNexis remains dedicated to developing innovative tools to support data-driven decision-making. Our commitment extends beyond comprehensive content and outstanding search technology to world-class client service support, ensuring that our clients gain maximum insights and value from LexisNexis solutions.
Frequently Asked Questions
Answers to some popular questions
According to a survey conducted by the Business Application Research Center, only 6 percent of surveyed companies report no roadblocks to using big data. The rest - companies around the globe and across different industries - identify various barriers. Up to 53 percent of the survey respondents say inadequate technical or analytical know-how within their organizations is slowing adoption. Among 38 percent of companies, the lack of compelling business case or cost are issues. And nearly one-quarter struggle to make big data digestible for end users. Overcoming these obstacles will help organizations forge a path to improved performance and growth. Read more
Why is working with big data so difficult? It comes down to several factors, which research and advisory leader Gartner first introduced as the Vs of big data in 2001.
- Volume
- Velocity
- Value
- Variety
- Veracity
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