The Internet of Things (IoT) is a new paradigm that has transformed the traditional way of living into a complete tech lifestyle. From smart phones to smart cities, everything has been transformed with the integration of the IoT. This new technology has made it possible to put more computer power into small devices, which can help the people who use them and also extract a lot of data in real-time.
The data generated from IoT devices can be helpful if thoroughly analyzed. This is where data analytics
comes into play. Businesses have realized the importance of big data in IoT, and by integrating data analytics, they can leverage the actionable insights to make informed decisions.
Integration of big data analytics in IoT has some challenges too. Let’s begin by addressing them.
Addressing the IoT Big Data Challenges
An increasing number of brands are moving to IoT big data analytics to improve their company’s performance. However, evaluating such large volumes of data comes with some challenges. If these concerns are addressed, it can enhance the output of IoT analytics
Massive Data Management and Storage
One of the major challenges of massive data is the effective storage and handling of large volumes of data. The amount of data stored in the company database is constantly increasing because of the growth and regular use of IoT devices. It becomes difficult to manage these data sets as they increase exponentially in real time. The majority of data is collected through sensors and gathered in an unstructured manner.
Modern techniques are helping in the management of large volumes of data, and businesses are now understanding how these technologies have assisted them in overcoming this challenge. Deduplication helps remove duplicate and undesirable data from data sets using modern tools that condense huge data sets. It also ensures that all data is separated and stored in the most precise location.
The entire system goes offline when there is no power supply or when the local internet service provider goes down. Data centres, which are required for most IoT systems to function properly, can also be damaged by natural disasters and other crises.
Low-power and offline compatibility are two qualities that should be highlighted in the IoT market for such situations. However, in the business world, reliable devices and systems are required to perform even in unpredictable situations.
protects the majority of online connections. Despite this, many companies continue to avoid intentionally utilizing encryption. It's risky to keep sensitive digital information such as user accounts, passwords, and personal information in plain text files.
Unencrypted data can be collected, transmitted, and used by IoT platforms, making it vulnerable. Devices or systems designed and maintained by inexperienced developers are a huge risk.
In this case, erasing data is one of the best ways to truly safeguard and respect the privacy of all parties involved. Another way to keep your data safe is to use strong encryption and keep a limited number of access points and gateways.
How Integrating Big Data Analytics with IoT can Benefit Your Business?
The role of big data in IoT has become important because it has helped businesses across industries to make more efficient and well-informed decisions. It also allows them to provide better services and products. Companies can use IoT with big data
to analyze data, find trends, identify unseen data patterns, uncover hidden data correlations, and discover new information.
As customer awareness grows, internet penetration develops, and IoT big data analytics is adopted, businesses strive to deliver personalized products rather than a one-size-fits-all solution. As a result, businesses can now tailor their products to meet customer’s demands and preferences by reinventing the product creation process.
Improving productivity is one of the ways that IoT data analytics can benefit your company. By deploying smart sensors and devices across your premises, you can gather employee engagement statistics, performance evaluations, and a variety of other work-related parameters. You can use this data to help simplify your organization's day-to-day business processes and make better use of staff energy and time.
Product Improvement Opportunities
The C-suite and entrepreneurs can use IoT analytics parameters
to support them in creating the next generation of products. By putting smart devices into your products, you will be able to analyze your customers’ usage patterns and detect design flaws better. It allows you to make necessary improvements.
Boost Your ROI
In IoT big data analytics, the IoT enables businesses to extract information to gain better actionable insights. Better business insights assist in making better decisions that yield a high return on investment (ROI). The cost of implementing big data cloud storage has dropped because there has been a rise in the need for data storage.
Big Data Analytics IoT Case Study
Many businesses are switching to IoT big data analytics to obtain a competitive edge and unlock exceptional growth opportunities. Here we have mentioned a success story of Bayer Crop Science.
Bayer Crop Science Uses AWS IoT Core
Bayer Crop Science, a division of Bayer, offers a variety of products and services to help farmers worldwide maximize crop yield and practice sustainable agriculture. The company uses IoT devices on harvesting equipment to track agricultural attributes, which are then manually transferred to its data centers for processing over many days. Due to a lack of real-time data collection and analytics, Bayer was unable to resolve issues related to equipment calibration, jamming, or deviations in time to help with subsequent run routing plans.
Bayer's IoT team, already an AWS client, opted to shift their data collection and analysis pipeline to AWS IoT Core. The business designed a new IoT pipeline to manage the gathering, processing, and analysis of seed-growing data.
During sowing or harvest season, the new solution takes numerous gigabytes of data from the company's research fields globally, at an average of one million attributes every day. This data is supplied in near real-time to Bayer's data analysts. The AWS IoT solution also includes a powerful edge processing and analytics platform that can be scaled across many IoT use cases and projects.
Due to the rising importance of big data in the IoT, organizations are becoming more enthusiastic about IoT big data analytics. IoT and big data
have revolutionized how companies gain insights, make decisions, and transform their consumers' lives, making them faster and smarter.
Even though IoT and big data analytics still have certain challenges to overcome, brands are using them because of their features.
How much data do IoT sensors collect?
Sensors gather data about the physical environment. Devices can share data with centralized systems and other devices. According to IDC, by 2025, IoT devices will generate 79.4 zettabytes of data.
What are “big data sensors”?
Big data sensing is a new concept and a future technology trend. It impacts sensor-based applications such as smart cities, disaster control, health care, environmental protection, and climate change research.
Which is better: IoT or cloud computing?
The cloud supports the implementation of IoT applications by increasing efficiency, accuracy, and speed. IoT application development is facilitated by cloud computing, but IoT is not cloud computing.