IoT Analytics?
Are You Making the Most of Your
Data analytics are integral to the success of any sound digital transformation strategy. The data captured from physical products and assets is one of your most vital and valuable business assets—if translated into actionable insights and delivered to the right people at the right time. But with an industry-wide failure rate of 85% for advanced analytics and big data projects, how can you be sure that you’re getting the most value out of your IoT analytics? Take our short quiz to determine if you’re making the most of your analytics with a strategy that will transform your IoT data into tangible business value.
Source: https://designingforanalytics.com/resources/failure-rates-for-analytics-bi-iot-and-big-data-projects-85-yikes/
What was–or will be–the initial step in your analytics project?
1.
Defining high-value opportunities and specific business needs and designing an IoT solution that solves those identified problems
Implementing an IoT solution to first see what types of data can be captured, then determining how to apply the data to any business problems
Not sure
Does your enterprise use machine learning to automate and build analytics models?
2.
Yes, we use machine learning techniques to identify conditions and new patterns to build smart, predictive models
No, we do not use machine learning as an analytic technique to solve business problems
Not sure
Can your IoT analytics scale up to support more machines and continuous improvement strategies?
3.
No, our existing application focuses exclusively on the most critical data of the moment to solve certain types of problems
Yes, over time, our system learns from the data being captured and can curate critical and link historical data to people and processes through analytics logic
Not sure
Have you been able to scale any of your analytics projects?
4.
Yes, we have achieved scale through the quick deployment of some broader, simpler solutions, and intend to pursue more complicated solutions
No, due to cost issues, cultural change, or other factors, our projects do not scale well and lead to uncertain goals and inconsistent measurements of success
Not sure
Would you consider your enterprise to be data-driven?
5.
Yes, our analytics projects holistically take people, processes, and technology into consideration to deliver desired outcomes
No, even though we have invested in technology to gain data insights, effective adoption is elusive and cultural challenges persist
Not sure
What sort of outcomes have your analytics enabled you to achieve?
6.
Waste reduction
Faster training
Increased outputs
Improve remote fix rates
Not sure/Other
(Pick all that apply)
Looks like your organization is already enjoying a number of the advantages that come from embracing IoT and effectively analyzing its data to gain insights. Remember: IoT projects are not one and done. Building on the momentum you've already achieved will ensure your organization can scale to meet future challenges.
transform IoT analytics into real value!
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On track to
To learn more about how IoT can help further advance your enterprise’s financial and operational objectives, read the latest IDC report, Insert Title Here (link tbd).
What sort of outcomes have your analytics enabled you to achieve?
6.
Waste reduction
Faster training
Increased outputs
Improve remote fix rates
Not sure/Other
(Pick all that apply)
Extracting the maximum value from your IoT strategy calls for more than just connecting devices and amassing data. But with petabytes of data being generated from different sources, how can you separate actionable insights from the noise?
accelerating value creation!
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Need help
Read the latest IDC report (link tbd), and learn how operationalizing analytics at scale enhances decision-making, making the most out of your IoT investment.
What sort of outcomes have your analytics enabled you to achieve?
6.
Waste reduction
Faster training
Increased outputs
Improve remote fix rates
Not sure/Other
(Pick all that apply)
There’s no denying that data-driven enterprises have a critical edge over their competitors. While you may have already experienced some benefits from your connectivity, to safeguard your future in a fast-changing business landscape and capture maximum IoT value, you need a sound and streamlined analytics strategy.
extract business value from IoT analytics
start over
Still learning how to
Read the latest IDC report, Insert Title Here (link tbd), to gain valuable perspectives on how to translate your data into important improvements and innovations.
