Analytics IoT

What is Analytics IoT?

Analytics IoT is the analytics platform that can assess the data collected from IoT devices. This variant of analytics is particularly well-suited to analyze IoT data because the devices typically generate a lot of information, in a relatively short time. Statistics show that IoT devices produce 2.5 quintillion bytes of data on a daily basis.


IoT data is similar to big data but there are differences not just in terms of size, but also because of the diversity of sources. The heterogeneous data sources make data integration an incredibly complex process – in fact, data integration is one of the biggest challenges to overcome. This is where IoT analytics comes into play.

Analytics IoT Strategy & Key capabilities

An eye for design and a mind for strategic execution. We focus on making great new digital experiences and helping existing companies refocus on digital

Leverage automation

We manage the full technology lifecycle

Analytics IoT

Match analysis components

We manage the full technology lifecycle

Analytics IoT

Centralize

data

We manage the full technology lifecycle

Analytics IoT

Encourage employees

We manage the full technology lifecycle

Enforce

security

We manage the full technology lifecycle

Data Intelligence

We manage the full technology lifecycle

Analytics IoT

Integration

We manage the full technology lifecycle

Deployment

We manage the full technology lifecycle

Customization

We manage the full technology lifecycle

Collaboration

We manage the full technology lifecycle

Why Analytics Iot will play a huge role?

According to a study by 2020, IoT will include over 30 billion connected devices by the year 2020 – all these devices are going to collect a large volume of data and the amount of data produced by a sensor in the manufacturing assembly line, for instance, would take a lifetime to assess. This means we are looking at an immense volume of data that organizations will struggle to handle.


A recent survey incidentally also revealed that over 26% of companies said that their IoT initiatives were successful. However, many organizations do struggle with incorporating and handling IoT because they simply lack the right systems that can handle the volume, velocity, and variety of IoT data. Without IoT analytics, it would not be possible for organizations to glean the benefits of the tech.


IoT analytics is incredibly versatile and can be used for any purpose. Whether it is assessing the current condition of manufacturing equipment or studying market trends, IoT data analytics can be used in any industry and to perform any operation. Furthermore, analytics can also act as a lynchpin for different functions like industrial automation, developing cloud solutions, creating mobile apps, and hardware development.

Analytics IoT

Ready to launch your

next projects?

Let us call. Our team of experienced creatives and developers will listen to you. and Provide a service of high quality.

Analytics IoT

How Analytics Iot boosts marketing and sales of businesses?

Improving Marketing and Sales

IoT Analytics plays an important role in boosting the marketing and sales of businesses by helping in the following scenarios:


  • Anticipating Customer Needs – IoT Analytics helps you to collect and analyze customer requirements and trends based on product usage and reviews. It would also help in forecasting future purchases while aiding in the creation of new consumable resupply models.


  • Help Deliver New Value-Added Services–It is through IoT Analytics that you can aggregate data from original sources to perform analysis, prediction, and action.


  • Flexible Billing and Pricing – With the capture of the right data from various sources, it is possible to plan outcome-based pricing and subscription models. This also aids in the increase of value-added market penetration.

Why use Analytics IoT?

IoT adoption has been on the rise and is expected to reach a peak of $1.29 trillion in spending by the end of 2020. However, while the number of connected devices increases, organizations struggle to handle the massive amounts of generated data. Because data collected from IoT are less structured, the data sets are more complex.


IoT analytics tools help organizations successfully leverage complex IoT datasets. When organizations are better equipped to understand data, they can improve products and increase earnings. Since customers are connected to the Internet, organizations can optimize products according to customer needs.


For example, IoT analytics can provide insights into the popularity of features, average usage patterns, optimal battery capacity. Additionally, this level of connectivity and analysis helps organizations fix issues, releasing software updates over the air. When fixes are released quickly and timely, customer engagement and user retention increase significantly.


Instead of collecting and trying to use all data, sophisticated IoT analytics tools kn

ow how to collect the most significant data points, perform quick analysis, and provide insights relevant to the products and services. IoT analytics can save valuable time, reducing tasks related to the integration of data sources. The result is a data analytics pipeline that provides access to data. Ideally, any role in the organization can use the workflow to ask questions and gain insights.



Analytics IoT

We collaborate to architect a custom set of technologies and methods

Get In Touch

ADDRESS:

AWN SOLUTION LLC

3490 US – 1 #109,

Princeton, NJ, 08540 USA

OPENING HOURS:

12 Noon to 9 PM

We deliver pioneering digital solutions

Development

90%

Branding

70%

IT Services

90%

UX Design

UX Design

80%

We pride ourselves on our collaborative operating model that brings clients into the process.

Register Office

AWN SOLUTION PRIVATE LIMITED

No 1 Pattamal Street, Krishnapuram

Ambattur, Chennai – 600053


Branch Office

AWN SOLUTION LLC

3490 US – 1 #109,

Princeton, NJ, 08540 USA



© AWN SOLUTIONS 2022. All Rights Reserved.