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. 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.

big data survey

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

What is big data?

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

What are 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.

    Volume
    • Velocity
    • Value
    • Variety
    • Veracity

    Read more

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