Why Business Needs Machine Data Analytics

 
 
By Dennis McCafferty  |  Posted 02-15-2017 Email
 
 
 
 
 
 
 
 
 
  • Previous
    Why Business Needs Machine Data Analytics
    Next

    Why Business Needs Machine Data Analytics

    Companies are deploying the latest in machine data analytics to benefit big data and internet of things efforts, as well as IT operations and cyber-security.
  • Previous
    Protected Production
    Next

    Protected Production

    81% of the IT decision-makers surveyed said their organization uses machine data analytics for technology operations management, and 60% cited using it for security.
  • Previous
    Data Driven
    Next

    Data Driven

    51% said their company depends on machine data analytics for big data projects, and the same percentage cited internet of things (IoT) uses.
  • Previous
    Benefits of Machine Data Analytics
    Next

    Benefits of Machine Data Analytics

    Faster time to value: 24%, Increased revenue: 23%, Improved productivity: 18%, Faster time to resolve incidents: 17%, Faster time to market: 11%
  • Previous
    IoT-Related Machine Data Analytics Areas
    Next

    IoT-Related Machine Data Analytics Areas

    Logistics: 52%, Industrial IoT: 49%, Predictive maintenance: 39%, Smart buildings: 36%, Smart meters: 32%
  • Previous
    Routine Function
    Next

    Routine Function

    86% of the IT decision-makers surveyed said that at least 11 people interact with their machine analytics technology at least once a week, and 15% said more than 50 people do.
  • Previous
    Employees Most Likely to Interact With Machine Analytics
    Next

    Employees Most Likely to Interact With Machine Analytics

    IT operations and DevOps staff: 78%, Data analysts: 68%, Data scientists: 49%, Business analysts: 38%, Business users: 36%
  • Previous
    Preferred Paths
    Next

    Preferred Paths

    39% of the IT decision-makers surveyed said their machine data analytics technology is open source, 36% said it's proprietary and 25% said it's a mixture of both.
  • Previous
    Cost Considerations
    Next

    Cost Considerations

    Of those using at least some form of open-source tech for machine data analytics, 52% said they do so due to the low upfront costs, and 49% cited low ongoing costs as a factor.
  • Previous
    Open Minded
    Next

    Open Minded

    Of those using some form of open-source tech for machine data analytics, 42% said they do so because the IT staff prefers open source, and 23% said "it was the best tool for the job."
  • Previous
    Challenges of Machine Data Analytics Tech
    Next

    Challenges of Machine Data Analytics Tech

    Demands on infrastructure resources: 36%, Demands on staff: 33%, Difficulties in scaling: 33%, Slow production of analytics and reports take too long to design: 32%, Excessive costs: 31%
 

Businesses must boost operational efficiencies enterprisewide if they want to keep up with rapid market and technology shifts. And many are investing in machine data analytics to do so, according to a recent survey from Logtrust and 451 Research. The resulting report, "The Need for Speed: Machine Data Analytics in 2016-17," indicates that organizations are deploying the latest in machine data analytics to benefit big data and internet of things (IoT) efforts, as well as overall IT operations and cyber-security. Subsequently, they're increasing revenue and productivity, with quicker incident resolutions and time to market for products and services. To continue to make progress, IT will need to overcome obstacles in infrastructure and staffing demand, as well as difficulties in scaling, to manage data ahead of the pace of business and technology changes, instead of falling behind. "It's been shown time and again that in all sorts of areas, the value of data erodes dramatically as it ages," according to the report. "In other words, the faster you can run some analytics on data and subsequently respond to the findings, the greater the chance of having achieved something that adds business value: the take-up of specific offers, a reduction in customer churn or basket abandonment, or resolving a situation in which a company may have been left with customer ill-will and poor reviews, for example. … In fact, [big data is] of far less importance than the notion of 'fast data.' How quickly can data be ingested, processed, analyzed, visualized and acted upon? For more and more companies, this is one of their biggest challenges if they are to remain competitive." An estimated 200 IT decision-makers took part in the research.

 
 
 
 
 

 
 
 
 
 
 

Submit a Comment

Loading Comments...
 
Manage your Newsletters: Login Register