IoT Platforms

How IoT Data Analytics Impact your business

What is the Impact of IoT Data Analytics on your Business?

Today, if we observe the trend and business processes, we can express that IoT solutions are changing the way of doing business globally. However, saying that all solutions provide equal benefits would be wrong. We can say that an IoT solution that shares data without analytics is like a symphony playing Mozart without a conductor. This means music is there but with no structure and loses its purpose, beauty, and meaning. We all know that there will be immense flooding of data by IoT, but the absence of a process to properly analyze the data would just cause complexity and noise without proper output.

The Impact of Data Analytics on businesses

Data is compelling and empowers by giving insights into all aspects of the business. It can assist organizations in refining processes, locating missing physical assets for cost saving, or even helping in defining new use cases for already available products. 

In the absence of data, a company can be just reactive or can assume future challenges and results. 

With the data offered by an IoT solution, a company can anticipate the emerging problem before it becomes complicated and resolve it as soon as possible. However, there are IoT data solutions that only offer the data and no other context to make it meaningful. In such cases, IoT analytics comes in as a savior. 

The capability to interpret the data before it comes in front of the user is compelling. For instance, data analytics can help alert a factory manager about the floor problem in real-time instead of waiting and then reading through reports on issues that have already happened. This can reduce time consumption and the possibility of errors. 

Analysis software is available in many forms, from one-size-fits-all products to low-code/no-code solutions to solutions that demand an experienced engineering team to execute and maintain.

Each type of solution has benefits and expenses, and your enterprise must determine the best-fitting solution to get the maximum benefit.

Well-known IoT Data Analytics Solutions

We all are aware that technologies like AWS IoT Analytics, on the one hand, are sophisticated and powerful but, on the other hand, very complicated to execute and demand a highly skilled engineering team having domain expertise. The advantages of the analytics solutions are- it offers customization. Everything needed in your business and unnecessary things to be left out. You can consider AWS IoT products like building blocks: you can get maximum from them, but they demand a lot of planning along with maintenance and oversight.

All businesses cannot afford or consider hiring an expert engineering team to execute these solutions. These businesses are inclined toward adopting a one-size-fits-all solution like Azure provides IoT Central

Azure even provides a solution analogous to AWS, but they are more successful in an out-of-the-box strategy. The straightforward analytics provided by this solution or any other one-sized solution can fulfill the requirements of many businesses. They enable businesses to connect promptly and design their dashboards and alerts within a few days or hours. If your business just needs simple alerting or has a limited number of devices to connect, then opting for this solution would be a great idea and cost-saving as well.

Customizable Solutions

The main challenge with the IoT data analytics solutions mentioned above is that they don’t provide customization options, are costly to scale, and might compel your team to do analytics using a third-party tool (which is no doubt another pricey option). Suppose you own a business having specific analytic requirements and many devices to be connected. In that case, a low-code/no-code solution, like the one proposed by Leverege (running on Google Cloud), could be a terrific middle-ground solution. This type of solution is customizable per the business’s requirement and, in parallel, does not need any technical expertise if it offers an end-to-end alternative and has analytics and an excellent alerting system, even without needing a dedicated and proficient engineering team. 

Irrespective of whatever solution you choose for a business to implement, ensure that a third-party tool to be integrated gives you maximum flexibility and value from the data. Tools like Power BI, Tableau, and Looker can be the best option to support your company in familiarly visualizing your data. If your company has already made a preferred analytics tool list, then it will enable your users to harness their expertise of that tool with new data sources.

Valuable Insights

Till now, hope that you have understood the importance and contribution of Analytics tools. It is essential to obtain the optimum value from IoT solutions irrespective of the products the business chooses. Neglecting these core capabilities may take your business to the loss side as it may miss valuable insights and maximize value. We can simply infer that IoT solutions, no doubt, enhance business operations but remain incomplete.

Data analytics gives direction and beauty to the solutions as it analyzes the data and offers favorable data to businesses to boost operations and amplify outcomes. Today, most companies are embracing the Internet of Things but are unaware of the importance of data analytics and ignore it. They face losses and then switch back to their old processes and operations. Therefore using IoT and offered IoT solutions must be opted for after attaining full knowledge.

Today, IoT is making its space in almost every sector, from smart homes to smart buildings, from smart towns to smart cities, and from smart farming to smart logistics; one can see the influence of IoT in every sector.

Similarly, data analytics is also contributing from its end to add more value to every solution offered by the Internet of Things. For instance, in the baking process, the availability of raw ingredients is insufficient, and it does not come together without a recipe. The recipe brings ingredients together in a beautiful way and offers the best. So, if you are still untouched by the magic of data analytics, then you might be losing a lot of benefits and leverages offered by it.

Need Enterprise IoT Solutions for Digital Transformation

Why do We Need Enterprise IoT Solutions for Digital Transformation?

We all are well aware of the changes brought by digital transformation, or we can say that digital transformation has achieved many advancements in the past few years. However, the primary question remains: Why do we need Digital transformation? The answer is that to stay competitive, businesses must adopt digitalization. It is mandatory to maintain the minimal digital standard. So, the question should be changed to What are the benefits offered by digitalization to the company?

Let’s assume that company is already leveraging the benefits offered by digitalization. But not everyone can implement or execute it seamlessly, especially considering the highly structured nature and operations in the difficult-to-reach area, increased safety requirements, and a small room for risk.

These challenges are commonplace in sectors like construction, agriculture, and mining. Luckily, the technologies backing digitalization are regularly upgrading to provide the most suitable combination of digital solutions for successful digital transformation. Let’s know how companies can start or continue digitalization using enterprise IoT solutions without the hassle.

Why go Digital?

Digital transformation has not been limited to desktop computers. The level of digitalization in a company can be estimated by the digitalization of its assets, usage, and labor. Product companies must enhance their products using digitalization, for example, by customizing thermometers or developing an agricultural product range with a digital irrigation system. 

According to recent statistics, almost 70% of companies embrace and have a digital transformation strategy or perform on it. These organizations represent the following reasons why digitalization can be advantageous for them:

Top Benefits of Adopting a Digital Model (Source: IoTForAll)

It is apparent that many of these factors are interdependent or outcomes of the same digital improvements. For example, by replacing the old-traditioned button-operated interface with the sensor interface in a tabletop printer, a company could boost its final product quality, which naturally impacted operational efficiency. Therefore, having a clear goal is vital for a potent digital strategy. A more thorough approach means a more valuable outcome. This is true for production and enterprise process improvement, as digital enterprise processes can enhance performance while IoT can speed up adoption.

Business IoT Solutions & Digital Transformation:

These four core target components give a holistic look at the digital enterprise of today:

  • Automation
  • Efficiency
  • Security
  • Maintenance

IoT-embracing companies are already familiar with the benefits and vital points of the IoT ecosystem development strategy. IoT adoption is considered one of a company’s digital indicators. However, it is more reasonable to consider IoT as a tool for enterprise organizations for transformation. This approach empowers to counter any inflated expectations, for instance, executing IoT components and expecting the company’s revenue to skyrocket. It is necessary to ensure that each tool is used appropriately and strategically.

Digital Strategies: 

An IoT implementation process is more intricate than various digital strategies. This is why we call it an IoT ecosystem, where all the components, from sensors to people, communicate with each other to achieve the primary business goals. Besides their extensive nature, IoT ecosystems are adaptable and permit companies to enforce them irrespective of their digital level.

Therefore, we suggest Enterprise IoT solutions for these two main digital strategies:

  • Initial digitalization: By creating an IoT ecosystem, businesses become digitized. By integrating crucial equipment, assets, vehicles, or cargo into intelligence, one can get real-time status, monitor environmental conditions, people’s activities, track location, etc. By adding analytical tools to the IoT ecosystem, one can predict equipment failure, create optimal routes or detect failure due to human factors. One can even add a cybersecurity program due to the potential vulnerability of the endpoints.
  • Advanced digitalization: Besides the capacity to deliver the vector for further business development, Enterprise IoT Solutions are best to estimate the other vector for the digital development of a company. For instance, if you execute a machine vision for improving QA processes at the first step, it is easy to track its efficiency and pick up complementary solutions. When all the essential assets are implanted with IoT sensors, companies can implement a digital twin and meticulously investigate data in their ecosystems. Therefore, you can get a solid analytical advantage empowering you to predict trends or simulate cases.

Enterprise IoT Challenges & Solutions

To know how to accelerate transformation, we must comprehend what slows down this process. Let’s know the major digital problems and solutions to overwhelming them.

1. Inventions Can Cause Disruptions:

Adding innovations brings a change in working models. This is true for highly structured sectors like mining, rail, and construction. Thus, they should regard digital solutions with structure in mind. The best benefit is that IoT technologies are flexible and can incrementally.

Now, we are familiar with successful cases of how some traditionally unsuccessful industries in digital have soared there in recent years. For example, in 2015, healthcare was one of the least digitized industries. But the story changed within three years, and in 2018, it became one of the top digital business strategy adopters, along with the financial and service sectors. Telemedicine, smart pharmacy, wearables, and smart hospitals have become part of the world; this shows that the healthcare sector is successfully managing the enterprise IoT adoption and will keep embracing it.

2. Lack of Safety:

If an enterprise IoT integration is technically challenging, the organization should spend more time on marketing research. The statistics are open, and enterprise IoT providers are updating their technical tools to outstretch the potential implementation area. In mining operations, which are usually held in vast and remote areas and have less connectivity, the best and most convenient solution is implementing mesh nets to ensure a reliable IoT ecosystem. As a result, one can monitor the entire area and get to know the health status of the machines.

3. Resistance:

Line workers are less resistant to innovation. Top management is typically the most resistant as they are responsible for the business. It is the only right decision to approach innovations efficiently by calculating all pros and cons. 

Therefore, higher-level leaders should get precise reports on how particular Enterprise IoT solutions will impact the business processes and revenue of the company. While making an execution strategy, it is essential to calculate all the situations, risks, and ROI and intercommunicate accurate statistics. Thus, there is a high possibility that a technology important for a specific enterprise will be backed.

IoT Ecosystem for Business Goals

Taking the IoT ecosystem not as an end goal but as an effective instrument to achieve business goals using digital transformation is more beneficial. Organizations’ main objectives are improving operational efficiency, meeting customer expectations, and enhancing new product quality. By enforcing enterprise IoT solutions, it is easy to get real-time insights. Enterprise IoT solution is compatible with initial and advanced digitalization as they can analyze large volume of data.