With over 20 billion IoT-connected devices expected by 2020, the IoT industry is bringing the
promise of the connected enterprise into reality for thousands of companies across dozens of
diverse industries from manufacturing to retail to agriculture. But for IoT providers, the
challenge has quickly shifted from merely connecting devices and collecting data from devices to
the far greater challenge of analyzing and acting on the mountains of data that are now being
Among the key data challenges facing IoT providers are:
The Semi-Structured Data Challenge
Most machine data is semi-structured in nature, which requires extra processing to collect,
organize, transform and prepare it for analysis. Most analytics products however, were built in the
structured data era and simply aren’t suited for this task.
The Increased Data Volume Challenge
Machines generate data at a blistering pace and our human workforce isn’t equipped to analyze such
large amounts of data efficiently. That’s why IoT providers are looking towards new technologies,
like machine learning, to fill in the widening gap in analysis services.
The Performance Challenge
IoT devices are generating data on a real-time basis, so logic dictates that analysis needs to
happen at the speed the data is being generated. This required IoT providers to accept a completely
new time scale for reporting with real-time as their new normal.
The Scalability Challenge
Building IoT solutions that can solve the first three challenges aren’t much good if they’re not
highly flexible and scalable enough to meet changing customer demands and future growth. IoT providers are
constantly struggling to deploy analytics solutions that can outpace these ever-increasing
The Data Security Imperative
Data security and privacy are no longer just a challenge, they're an imperative. As more and more
devices become connected, information security must evolve to the next level and become inherent in
the entire data process from collection through decision-making and ultimately actions.
Qrvey’s All-in-One Analytics Solution
Qrvey is an all-in-one, cloud-native analytics solution that simplifies analytics on AWS and gives IoT
providers everything they need to meet their industry’s biggest challenges.
Semi-Structured Data Solutions
Qrvey solves the semi-structured data challenge with its All Data Accepted philosophy… Using Data Router, Qrvey
can efficiently ingest and transform the most complex of data types, including semi- and unstructured data, and
make it available for a variety of analytics use cases.
Scalable Analytics Solutions
Qrvey solves the scalability challenge using microservices. The platform utilizes over 26 AWS microservices
that were selected and tuned to provide the most flexibility and scalability for your analytics applications,
ensuring that your solutions will evolve as fast as the industry overall.
High Volume Data Solutions
Qrvey solves the data volume challenge by integrating machine learning into the platform to augment data, spot
trends and gain insights faster and better than traditional human-focused solutions.
High-Performance Analytics Solutions
Qrvey solves the performance problem using its cloud-native architecture, leveraging the full power of the cloud and AWS to economically meet any analytics challenge. Datasets with hundreds of millions of rows can now deliver insights in just seconds.
Analytics Data Security
Qrvey solves the data security imperative with a unique deployment model that installs directly into your existing AWS account so you’re always in control of your data and infrastructure - this way you don’t need to rely on third-party analytics solutions.
The ultimate goal of IoT providers is to allow their customers to collect data in a format that can be directly and immediately available for a variety of analytics applications, from business intelligence, to self-service analytics and advanced machine learning models. Only then can the promise of the connected enterprise be realized, where decisions can be made at the speed of the data collected.
Qrvey is the only all-in-one, cloud-native analytics platform capable of solving all of the data and analytics challenges facing the IoT industry.
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visualizations and into the age of microservices. We welcome the opportunity to show you what a modern
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