With 5 years of experience in data analytics and 5 years in IoT, Qrapp helps enterprises and software product companies to draw actionable insights from IoT data by implementing robust IoT analytics solutions and offering IoT analytics on as-a-service basis.
For businesses, who want to benefit from IoT insights obtained with their own organization-wide IoT analytics tool, we offer full-cycle IoT analytics solution development, starting from needs analysis up to the solution’s launch, after-launch support and evolution.
For businesses who want to bypass implementing and maintaining an in-house IoT analytics solution but still want to enjoy IoT insights, we offer IoT analytics as a service. You get access to a web interface with regular and ad-hoc reports, while we handle the IoT analytics solution’s technical realization.
We provide full-cycle implementation services, which comprise:
With 5 years in cyber security, we incorporate security as early as at the application design phase and conduct vulnerability assessment and penetration testing for all major releases.
Our UI/UX designers will create an optimal dashboard layout that clearly reflects trends, patterns, and dependencies derived from the IoT data, adapting the displayed content to relevant use roles.
Designing and developing IoT analytics solutions we focus on consistency, reliability and flexibility. At this stage, our database department will:
We implement an IoT analytics solution in stages, launching a first application version with high-priority functionality first and then adding new features every 2-4 weeks. If this approach is not suitable in your situation, we can implement an IoT analytics solution at once according to a traditional Waterfall methodology.
Throughout the development cycle, we perform regular code reviews, carry out continuous testing and release testing with a reasonable share of automation to prevent a solution’s downtime, performance issues, and errors in analytical output.
We release an IoT analytics solution or its version in the production environment.
During 1 to 3 month after the deployment, we will carry out IoT analytics solution monitoring and performance management, as well as perform a range of daily administration tasks including security updates, user and access management.p>
We will carry out comprehensive training (e.g., step-by-step guides, onsite training, workshops) to help your employees understand the IoT analytics solution’s features and functions before it goes live.
We continuously improve the reliability of your IoT analytics solution to make sure it stays up-to-date with your business needs in the long term. We will systematically monitor and optimize the key components of a solution infrastructure, including device, network, data, and security management, as well as plan and implement solution changes and expansions.
To let your business benefit from IoT insights without having to deal with the hurdles of IoT analytics solution implementation, we are ready to take over your analytics-bound tasks on a subscription basis. Here are the stages according to which we prove IoT analytics as a service.
We will work collaboratively with your IT and business departments to understand your business goals and a current level of analytics maturity. Based on the obtained information, we will choose relevant analytics methods (e.g., basic reporting, online analytical processing, machine learning-driven analytics) with regard to feasibility and the potential to improve strategic decision-making.
We will reflect the detailed description of the service, state the agreed level of service quality, determine appropriate KPIs and monitoring procedures, as well as document service timing and charges in an SLA.
We will analyze available IoT data and metadata from the perspectives of structure and quality to state if it is consistent, accurate, complete, and auditable enough to fulfill your analytics requirements. Our big data professionals will put effort into cleansing and reorganizing available data if it is incomplete or contains duplicate and erroneous records to assure highly accurate analytics results.
We leverage descriptive, diagnostic, predictive, and prescriptive analytics to carry out a range of tasks including uncovering the root causes of past events, detecting hidden dependencies and trends in both historical and streaming data, and making predictions based on them.
We present the insights gained with the analysis in the form of:
We present monthly reports on provided services containing a detailed performance evaluation against the targets specified in a service level agreement.
Avoid guesswork and leverage IoT insights for making data-driven decisions and driving your business growth!
If you are still in two minds about what type of analytics is best for your business, contact our data analytics team for a free consultation.