Assessment Dashboard - Internet of Things (IoT) – Excel XLSX

BENEFITS OF THIS DOWNLOADABLE EXCEL DOCUMENT

1. Diagnose Internet of Things projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices.
2. Implement evidence-based best practice strategies aligned with overall goals.
3. Integrate recent advances in Internet of Things and process design strategies into practice according to best practice guidelines.

IOT EXCEL DESCRIPTION

Internet of Things (IoT) Assessment Dashboard Excel: Download this self-assessment tool with RDMAICS framework to manage IoT security, IAM, and compliance risks. Assessment Dashboard - Internet of Things (IoT) is an Excel template (XLSX) with a supplemental Zip archive file document available for immediate download upon purchase.

New objects as the plethora of different device types, devices, gateways and Internet of Things (IoT) platforms need to be maintained because they are decentralized trust servers of the organizations using them. Management and governance enables organizations to meet both compliance and business requirements. Will your IAM system handle the increased number of relationships between users, devices, services and policies?

The pharmaceutical industry is also taking advantage of digital progress. It is using IoT for supply chain security in packaging and tracking of drugs. There are new companies using computer chips in pills for tracking adherence to drug regimens and associated biometrics. Using this as an example, how will we use and protect this sensitive data?

Do we put an IAM architect in the IoT center of excellence? Hastily deployed pockets of identity infrastructure need to be maintained for the full lifetime of the devices. You do not want to set a presence of systems with low assurance levels that an organization later must handle. Do you need end-to-end authentication and authorization?

When developing and capitalizing on IoT solutions, do we as owners consider the societal cost, systemic risk, and risk externality to avoid what may be called designer hubris. In other words, why add features when theyre not needed and contribute to the insecurity/fragility of the whole system?

Traditional data protection principles include fair and lawful data processing; data collection for specified, explicit, and legitimate purposes; accurate and kept up-to-date data; data retention for no longer than necessary. Are additional principles and requirements necessary for IoT applications?

The Self Assessment tool is a comprehensive dashboard built in MS Excel. It ensures you don't miss anything with 857 criteria in 7 RDMAICS (Recognize, Define, Measure, Analyze, Improve, Control and Sustain) steps with easy and quick navigating and answering for 1-10 participants.

The above preview showcases an example of a completed version. The secondary document includes a blank template, as well as a detailed 150+ page PDF guide. The guide provides a convenient way to distribute and share among the participants to prepare and discuss the Self Assessment.

The Assessment Dashboard provides a visual representation of participant responses, making it easier to identify key areas for improvement. The included radar chart offers a clear snapshot of overall performance across the RDMAICS steps, facilitating strategic discussions and decision-making.

Source: Best Practices in IoT Excel: Assessment Dashboard - Internet of Things (IoT) Excel (XLSX) Spreadsheet, Gerard Blokdijk