The document discusses how businesses can enhance IoT applications using data analytics, emphasizing the importance of analyzing various data types beyond just sensor data. It mentions different analytics methods such as streaming, spatial, and time series analytics, which can benefit various IoT use cases. Emerging applications include consumer product usage analysis, customer-facing analytics dashboards, and advanced surveillance techniques using video and sensor data.

1. How to improve IoT applications
with Data Analytics

2. Businesses are looking to unlock the business value of IoT
IoT refers to the innumerable physical devices around the world, connected to the internet
that are sharing and collecting information. Owing to the large number of cheap processors
and large networks, it is possible to transform anything to make it a part of IoT.
Research conducted by IDC estimated the worldwide spending on IoT to be growing at an
annual rate of 17 percent, becoming $1.3 trillion in 2019.
Enterprises that adopted IoT experienced significant improvement in business operations.
rockinterview.in

3. The role of Data Analytics in IoT
While it is true that new sensors like wireless and mobile technologies are affecting the
evolution of IoT, it is equally true that the value of IoT lies in business analytics rather than
hardware novelties.
IoT applications work with datasets that can be structured, unstructured, or
semi-structured. There can also be some significant difference in data types and formats.
With data analytics, businesses can analyze all these varying data sets with the help of
automated tools and software.
IoT applications make use of large clusters of data sets. Data analytics software can aid in
the analysis of these data sets along with real-time data.
rockinterview.in

4. Other kinds of data than sensor data that are involved
in IoT projects
Video feeds
Mobile geolocation data
Product usage data, which isn’t necessarily sensor data
Social media data, which can be collated with IoT data
Log files (computer-generated records of operations and events in software applications,
networks etc.)
rockinterview.in

5. Various Types of Data Analytics
Streaming analytics: Also referred to as event “stream processing,” this type of data analyt-
ics provides for the analysis of huge in-motion data sets. Real-time data streams are examined
in this process to detect critical situations and quick actions. This method can benefit IoT apps
based on air fleet tracking, traffic analysis, and financial transactions.
Spatial analytics: This is used to examine geographic patterns to determine the spatial
relationship between the physical objects. This method can benefit location-based IoT
applications like smart parking applications.
Time series analytics: This is based upon time-based data. This data is analyzed to reveal
the associated patterns and trends. Weather forecasting and health monitoring IoT applica-
tions can benefit from this method.
Prescriptive analysis: A combination of descriptive and predictive analysis, this helps to
understand the ideal course of actions that the user can resort to in a particular situation. This
method can benefit commercial IoT applications, which can use it to get better conclusions.
rockinterview.in

6. Emerging Use Cases for Data Analytics

7. Consumer Product Usage Analysis for Marketing
One way in which IoT can be used is for analyzing information about how consumers use a
business’s internet-connected products.
For example, connected coffee makers transmit information to the manufacturer about how
many pots of coffee a consumer is brewing per day.
This data can then be correlated with social media data to determine whether consumers who
brew more coffee are more likely to be actively discussing the brand on social media.
Additionally, the vendor can see whether variations in the amount of coffee brewed by
consumers correspond to the amount of coffee capsules also sold by the vendor.
rockinterview.in

8. Servicing Consumers and Business Users with
the same analytics
Make the most of internally-facing IoT analytics deployments by enabling externally-facing
dashboards for your customers. Web portals and mobile apps are currently the best vehicles
for customer-facing dashboards.
For example, a utilities company selling smart energy meters can help state and county
governments as well as private energy providers perform fraud detection on the meter data as
well as revenue projections.
The analytics can also enable portals for consumers to manage their energy consumption, see
how much they’re over and under other households in the neighborhood, turn appliances on
and off to determine how they impact energy usage etc.
rockinterview.in

9. Sensors and Cameras enabled Connected Events
Connected events are ones in which large-scale sensor deployments assist with
understanding and enhancing the experiences of participants. These sensors enable the
analysis of human emotions rather than device usage (a form of analytics known as sentiment
analysis).
For example, biometric sensors on coaches link the motions of this notoriously fidgety
demographic to their feelings about the game. This can be used to create an ‘agitation index’
for coaches, which analyzes movement to measure their level of involvement throughout the
game.
The internet of things is thus expanding to include cameras as rich data sources alongside
sensors, frequently in order to analyze the same situation from different perspectives than
those offered by sensors.
rockinterview.in

10. Video Analytics for Surveillance and Safety
Expensive industrial infrastructure can be managed and protected through IoT analytics. This
includes video analytics as well as sensors.
For example, oilfield infrastructure can be protected through deployments of cameras
alongside motion and radar sensors.
In surveillance context, anomalies can be detected in the machine as the reading goes past a
threshold. Human operators monitoring the sensor feeds can even adjust the threshold for
what counts as an event worthy of their attention.
Such technologies are useful for adjusting operations, as well as for ensuring safety.
rockinterview.in