IoT Analytics Services

Czario helps implement robust IoT Analytics solutions to real-life processes and offers IoT analytics as-a-service to IT companies and technology enterprises.

Why Choose Czario?

•   Over a decade of experience and work in data analytics and data science
•   8 years in IoT and comprehensive expertise in delivering IoT solutions
•   5+ years of big data consulting and implementation practice
•   Microsoft Gold competencies including Data Analytics, Data Platform, Datacenter, and Application Development
•   A recognized member of the partner networks of Microsoft, Oracle and Amazon Web Services

IoT Analytics Solutions Implementation

IoT insights are incredibly useful for businesses to grow with the help of transformations in real-time data collection done with their own organization-wide IoT analytics tool. We cater to full-cycle IoT analytics solution development, starting from needs analysis up to the solution’s launch, after-launch support and evolution.

Business analysis

Our BA team will evaluate you current analysis process and your analytics needs, carry out a feasibility study taking into account the capabilities of the existing data analytics system, and translate them into a feature set that will be rewarding. We will evaluate legal, regulatory, and security requirements to create a detailed requirements specification document based on your project needs.

Dashboard design

We help you create an optimal dashboard layout that is UX/UI-enhanced and aligned to the latest trends and patterns, with dependencies derived from the IoT data. We also help adapt the displayed content to relevant user roles and accessibility levels.

Architecture design and development

Designing and developing IoT analytics solutions we focus on consistency, reliability and flexibility. At this stage, our database department will:

•   Design and implement a data repository for storing sensor data.
•   Design and implement a big data warehouse for a fine-tuned management of sensor data and metadata (e.g., the data about sensor locations, calibrations and maintenance). We include the implementation of ETL processes for a range of data sources, such as ERP, MES, WMS, and others, to create a consolidated data management and analytics solution that is well-integrated with your business development processes.
•   We help implement BI, reporting and visualization tools for formulating insight-driven results from historical and real-time sensor data. We help translate this data into predefined and ad-hoc reports.
•   Our team works on the implementation of a machine learning component to leverage the solution with predictive analytics capabilities.
•   Our IoT analytics solution is worked upon in stages, the first includes launching the first version of the application with core functionalities and then adding new features iteratively. We can also implement an IoT analytics solution in one go according to the traditional Waterfall methodology.

Quality assurance

We incorporate regular code reviews, carry out continuous testing and release testing with reasonable automation elements to prevent a solution’s downtime, performance issues, and errors in analytical output during the development stage.

Launch

In this stage, the IoT analytics solution or its successive version is released in the production environment.

Post-launch support

After deployment, within 3 months period, we will carry out IoT analytics solution monitoring and performance management, and perform a range of daily administration tasks including security enhancements, user and access management.

User training

Comprehensive trainings are carried out by us which include step-by-step guides, onsite training, workshops etc. to help your employees understand the IoT analytics solution’s features and functions before it goes live.

IoT analytics solution evolution

We continuously keep updating your IoT analytics solution to ensure that it stays up-to-date with your business needs in the long term. We will systematically monitor and optimize the key components of your solution infrastructure, including device, network, data, and security management, and schedulesolution changes and expansions as necessary.

IoT Analytics as a Service

We help your business benefit directly from insightful IoT data without having to spend more effortsin IoT analytics solution implementation.The IoT experts at Czario, help you obtain the benefits of analytics-bound tasks based on a subscription model. Here are the stages according to which we offer IoT analytics as-a-service.

Assessment of an enterprise’s analytics needs and SLA preparation

We will work collaboratively with your IT and business teams across vericals to understand your business objectives and draw a level of analytics maturity. Based on this information, we will evaluate and pick a relevant analytics method or a combination (e.g., basic reporting, online analytical processing, and machine-learning-driven analytics) after working on the feasibility and link to the potential it can have in backing strategic decision-making.

We will review the detailed description of the service, state the agreed level of service quality, and enumerate the KPIs and monitoring procedures.We will define the document service timing and charges in an SLA.

Data quality assessment and data preparation

We will analyze the IoT data and metadata in-hand for its structure and quality to confirm if it is consistent, accurate, complete, and auditable enough to fulfill your analytics requirements. Our big data professionals will collate, cleanse, and reorganizecrudeand incomplete data by eliminating duplication and erroneous records to get quality-assured and highly accurate analytics results.

Service execution

We explore the advantages of descriptive, diagnostic, predictive, and prescriptive analytics to carry out a range of tasks including the unearthing of root causes of past issues, detecting hidden dependencies and observing trends in both historical and real-time streaming data, and making predictions based on them.

The different types of presentations of IoT analysis gained data include:

•   Interval-based, periodic data parameter ranges are included in standard reports that are insightful
•   Ad hoc reporting options that help drill down any parameter and build custom reports in real-time
•   Predefined rules-based alerts generation
•   Service-based reporting

We present monthly reports for our service suite with detailed performance evaluation against the targets specified in the service-level agreement.