IoT analytics and dashboards in IOT Protocols - Step-by-Step Execution

Process Flow - IoT analytics and dashboards

IoT Devices send data

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Data collected by IoT Platform

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Data stored in Database

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Analytics Engine processes data

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Dashboard visualizes results

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User views insights and takes action

Data flows from IoT devices through collection, storage, and analysis, then results show on dashboards for user insights.

Execution Sample

IOT Protocols

1. Device sends temperature=22.5
2. Platform stores data
3. Analytics calculates average
4. Dashboard updates graph

This sequence shows how a temperature reading from a device is processed and displayed on a dashboard.

Process Table

Step	Action	Data State	Result
1	Device sends temperature=22.5	Raw data received: 22.5	Data stored in platform database
2	Platform stores data	Database contains [22.5]	Data ready for analysis
3	Analytics calculates average	Data points: [22.5]	Average temperature = 22.5
4	Dashboard updates graph	Average = 22.5	Graph shows temperature 22.5°C
5	User views dashboard	Graph displayed	User sees current temperature

💡 Process stops after user views updated dashboard with latest data

Status Tracker

Variable	Start	After Step 1	After Step 2	After Step 3	After Step 4	Final
temperature	N/A	22.5	22.5	22.5	22.5	22.5
database	empty	[22.5]	[22.5]	[22.5]	[22.5]	[22.5]
average_temp	N/A	N/A	N/A	22.5	22.5	22.5
dashboard_graph	empty	empty	empty	empty	updated with 22.5	updated with 22.5

Key Moments - 2 Insights

Why does the average temperature equal the single data point 22.5 at step 3?

Because only one data point (22.5) exists in the database at that time, so the average is that value itself, as shown in execution_table step 3.

How does the dashboard know when to update the graph?

The dashboard updates after the analytics engine calculates the average, indicated in execution_table step 4 where the graph reflects the new average temperature.

Visual Quiz - 3 Questions

Look at the execution table, what is stored in the database after step 2?

A empty

B [22.5, 23.0]

C [22.5]

D 22.5 only in memory

💡 Hint

Check the 'Data State' column at step 2 in the execution_table.

At which step does the dashboard graph get updated with the new temperature?

A Step 2

B Step 4

C Step 3

D Step 5

💡 Hint

Look at the 'Action' and 'Result' columns in execution_table for when the graph changes.

If the device sent two temperature readings 22.5 and 23.5 before analytics, how would the average_temp change after step 3?

A It would be 23.0

B It would be 23.5

C It would remain 22.5

D It would be empty

💡 Hint

Average is calculated as (22.5 + 23.5) / 2 = 23.0, refer to variable_tracker for average_temp logic.

Concept Snapshot

IoT analytics and dashboards flow:
1. Devices send data
2. Platform stores data
3. Analytics processes data
4. Dashboard visualizes insights
Key: Data moves stepwise from devices to user view.

Full Transcript

In IoT analytics and dashboards, devices send data to a platform where it is stored. The analytics engine processes this data, for example calculating averages. Then the dashboard updates to show these results visually. Users see the latest insights and can act on them. This flow ensures real-time monitoring and decision-making based on IoT data.