Optimized IoT Analytics: Solutions & Expertise

1. Business analysis

The Business Analytics (BA) team will assess your analytics requirements, transform them into a feature roadmap, perform a feasibility assessment based on the capabilities of your current data analytics solution, if applicable, while ensuring compliance with legal, regulatory, and security standards. This results in a comprehensive Requirements Specification document.

2. Dashboard design

Optimized dashboard design tailored for various user roles showcases IoT data trends, patterns, and relationships effectively, dynamically altering displayed content based on user roles.

3. Architecture: Design & Construction Processes

In crafting Internet of Things (IoT) analytical solutions, emphasis lies on uniformity, dependability, and adaptability. Herein, the database team ensures: consistency, reliability, and flexibility in data management.

• Develop & deploy a sensor data storage system - Data Lake
• Develop and construct an optimized big data warehouse system for seamless management of sensor data and associated metadata (including sensor locations, calibrations, and maintenance details). Concurrently, the data engineering team will establish Extract, Transform, Load (ETL) procedures to draw from diverse data sources such as ERP, MES, WMS, and others. The objective is to create a unified data management and analytics platform for enhanced efficiency
• Leverage Business Intelligence (BI) tools to analyze both historical and live sensor data, extracting valuable insights. Transform these findings into structured reports, including customizable ad-hoc ones, for a comprehensive understanding
• Enhance the solution with a machine learning feature, providing it with predictive analytics abilities for insightful decision-making

Our IoT analytics solution deployment occurs progressively, releasing a preliminary application featuring essential high-priority functions initially, followed by the addition of subsequent features every 2-4 weeks. Alternatively, if a more traditional approach better suits your needs, we can execute an IoT analytics implementation in one phase according to the Waterfall methodology.

4. Quality assurance

In the development process, we consistently conduct code audits, implement ongoing testing, and execute both continual and final testing, utilizing a substantial portion of automation to minimize potential service interruptions, performance problems, and inaccuracies within the analytical outcomes.

5. Launch

Deploy our Internet of Things (IoT) analytics solution/upgrade into live operation.

6. After-launch support

Within the initial 1-3 months post-deployment, our focus will shift towards monitoring and managing the Internet of Things (IoT) analytics solution, ensuring optimal performance. Daily administrative responsibilities include executing security updates, managing users, and controlling access privileges.

7. User training

Extensive training programs, including detailed guides, onsite sessions, and workshops, are implemented to ensure employees grasp the functionality of the IoT analytics solution prior to its launch.

8. IoT analytics solution evolution

Maintaining the longevity of your IoT analytics solution's performance is our priority. We proactively monitor and enhance crucial solution elements such as device, network, data, and security management to ensure it adapts seamlessly to your evolving business requirements. Planned modifications and expansions are implemented strategically to optimize the solution's efficiency and scalability.