Introduction of Use of Data Mining Techniques and IoT

              IoT (internet of things) is promoting business in the manufacturing and service sector by introducing positive changes in the management system and overall business processes. Through the use of IoT (internet of things) now companies are capable to collect quantitative data easily without spending too much time. Considering the importance of IoT (internet of things) a number of companies have made it an integral part of their business (Al-Sarawi, Anbar and Alieyan). For example, Rolls Royce, AT&T, Google, and Cisco companies are using IoT (internet of things) in their business operations to deliver the best outcomes of the activities carried out in the organization. In the present work, Cisco is selected to elaborate on the implementation of the IoT (internet of things). A number of elements in the production area are automated by the use of IoT (internet of things). Even a number of elements and processes are still requiring manual input by the employees but still, the company is promoting IoT (internet of things) in these areas to ensure automated processes. Present work will also put light on the future initiatives of the Cisco Company. Logic components and statistical techniques are also discussed in this paper to determine and explain the results of IoT process.

Data Mining techniques and IoT

            The use of data mining techniques and IoT have become very common in organizations. ERP is one of the top IoT technologies being used in the companies which is basically an open source software that offers a solution for every kind of business by the open source ERP options’ range. The top ERP technologies are Dolibarr: it is the super popular software that has been downloaded 129,000 times. It includes HR, CRM and inventory modules. This software updates constantly and the user forum of this software is very active for general discussion and troubleshooting. ERPNext is another IoT that is open source that keeps the modern user in mind designed for the small and medium businesses that are presented as the apps' series. This system has the drawback that it was designed for less technical businesses. ERPNext is free for any size business or for five users when installing on their own servers or hosted online respectively (Geng).

        In addition, iDempiere is the full-fledged ERP system containing everything from forecasting to warehouse management to POS integration to invoicing. For troubleshooting, this software relies on community support just like most of the open source programs. This software provides multiple functions such as warehouse management, product planning, and payroll, etc. This software is one of the most robust available options among other open sources while more setups are required for this software than other available options. MixERP is the open source that is free and built on the ASP.net framework. Upgrading and hosting can be managed on its free iteration but one has to access to support first for 49 dollars per issue. This software is kind of the mix between complete outsource and do-it-yourself. Management and manufacturing lack in this software.

            Moreover, Odoo is another form of IoT that when hosted online, one application for free is offered by this software for unlimited users. If the software is maintained and installed in the house, then it is totally free. The whole system of this software revolves around the apps' collection and this makes it distinctive among other available software. Limitation on the free apps’ number is the obvious downside of Odoo but it is not prohibitively expensive to add more apps. VIENNA Advantage Community Edition is the open source ERP software out of Germany. CRM and ERP are included as the core products that revolve around by the rest of the solution. This is the web-based platform that can be accessed across devices without getting worried about the nitpicky compatibility issues by which the small businesses are being plagued. A ton of free modules can be accessed after installing this software. Two cloud-based hosted solutions are being offered by Vienna if a company wants to move management to someone else; one for enterprise clients and one for the SMBs (Marder).

Cisco Company and Use of Data Mining Techniques and IoT

              Cisco is the company that is using IoT in its integral business parts. Cisco Company is becoming a world leader in IT and networking field. Cisco Company was founded in 1984. Since 1984, the company is solving business challenges with a focus on customer-driven business strategy.  Cisco Company was established by Len Bosack and his wife Sandy Lerner. The company was formed by them as a result of solving a challenge. In 1984, Sandy Lerner and Len Bosack were used to working at Stanford University. They wanted to send emails to each other from their offices that were not possible because of technological shortcomings. They invented technology to deal with the disparate local area protocols that resulted in the introduction of Multiprotocol.

            Cisco Company offers products and services related to IT and networking including switches, optical networking, software-defined networking, routers, access points, interfaces & modules, and wireless. Cisco Company is fully interested in the integration of all business operations with the IoT. Considering the possible benefits of IoT, Cisco Company is investing high budgets on the promotion of IoT in the workplace. Cisco Company provides support to seize the opportunities of tomorrow by ensuring that amazing things concerning you can happen when you connect the unconnected network. Cisco Company is promoting long-lasting customer partnerships by identification of the key customer requirements and needs.

Use of IoT in Cisco and Data Mining Techniques

          Cisco aims to become the market leader in the IoT field. Through the use of digital infrastructures, they ensure connections and automation in the factories. Somehow, particularly for the purpose of energy control and utility services Cisco Smart Grid Technologies are used. Moreover, the infrastructure of these smart grid technologies has also the capability to monitor and aggregate data related to the distribution and energy usage. Use of IoT in the Cisco also supports monitoring of data about IoT integrated cyber, application management and wireless networks. 

          According to an estimation by the Cisco Company, the average percentages of devices connected to the internet by the individual are almost 3.4. Cisco produces several solutions linked with the IoT to make other companies able to keep operations running smoothly with the integration of OT infrastructures and IT. Cisco tools such as Field network director and Cisco DNA center has the strength to promote and enhance the use of IoT in the manufacturing companies with the purpose to enlarge profit margin and make business operations accurate.  

            Cisco Company uses IoT to protect deployment against security threats. Cisco introduced some products of IoT that can be used easily in organizations to ensure intelligence beyond boundaries. Key products and services offered by the Cisco Company related to IoT are DNA center, Cisco Kinetic IoT platform, Deploy Cisco Industrial networking, Secure IoT solution architecture, and Field Network Director (Paul).

             IoT support data collection in the Cisco Company for customer relationship management. Cisco collects data about the demands of their selected customers and analyzes perceived value by the customer regarding their offered products and services. Appropriate connection and data flow enable the process efficiencies in the Cisco Company and results in the successful completion of started projects and tasks. Cisco also uses IoT to find the right partners for their business. Cisco is not a domain expert in the market. In fact, it requires a relationship with the partners to integrate the legacy systems and improve the existing systems in the workplace. IoT facilitates in identifying partners a building relationship with them (Robinson).

          Cisco collected data about the current and historical performance of the company and its competitor companies with the support of IoT. The company uses this information while initiating production and other business activities. In light of this information, the company develops a plan for future execution in the company. The company acts on the collected information accomplish the goals of automation in the production process. Auto-replies and auto running business processes are the key outcomes of the IoT. 

         According to the market analysis, Cisco has more than 10 innovations centers in Australia, Tokyo, Paris, Toronto, Barcelona, London, Korea, and Berlin. In these centers, the cycle of proof of concepts, scalable solutions, pilots, and prototype are accelerated. A co-inventor center of Germany is linked with the car manufacturing business. Cisco provides them special services for IoT to ensure domain specific experiences including intelligent building and logistics. Use of IoT also reduce complexities for the project managers and make it easy for them to manage resources in all integrated departments and business operations (Wang, Bi and Xu). Cloud 2.0 emerging ad distributing are the key issues about cloud functions that need to be captured by the large real amount of data collected from market analysis to promotion automation of the application. Information extracted from the previous operations and implemented with the combination of artificial intelligence in the machines are the key supporting factors for the automation of the factories and production plant. Cisco not only itself work with this automation but also encourage this automation system by introducing products and services which make it possible for the manufacturing plant of cars, mining, and all other different production lines to work with automation system and deliver the best performance outcomes within minimum time duration and cost (Patterson).

             Somehow, still, there are some areas in the Cisco Company which has no automation systems. In fact, employees working in these areas are following manual systems. Manual input system in these areas causes to influence profitability in a negative manner by the increase in cost and expense of operations. Cisco needs to have a focus on these areas for further improvement and betterment (Listyorini and Rahim). 

Future Initiative of Use of Data Mining Techniques and IoT

              In this section, the main focus is on future planning regarding IoT use in the Cisco Company. The section is consisting of information about the goals and additional information, hardware and personnel, and potential needs to move forward with the IoT initiatives in the Cisco Company.

Goals and Additional Information of Use of Data Mining Techniques and IoT   

The goals and additional information that the company may find useful to collect for the future IoT initiatives are presented here. Goals are enlisted below: 

·         To promote the automation system in the manufacturing/production area

·         To ensure automation in testing and monitoring systems

·         To deliver best products for IoT integration in business.

            These goals should be the primary goals in Cisco Company in case they want to promote IoT use in the business workplaces for automation of business processes and integration of the whole business. Somehow, for this Cisco would need to have a strong communication system and the flexible but fully defined hierarchy of control in each department. Communication through the betterment of Information system will reduce ambiguity and support integration within all department. Furthermore, to accomplish these goals, Cisco will find useful to collect detailed information about the current processes of each department along with the key goals related to this department. Maximum information collected about processes will support Cisco to accomplish its goals about IoT use.

Hardware and Personnel of Use of Data Mining Techniques and IoT

        Io implementation requires some hardware and personnel resources. Hardware may include actuators, integrated circuits, sensors, devices communicate wirelessly, Ethernet, and routers. IoT related devices to be used in this project would have some characteristics such as connectivity, power management, data acquisition and control, and data processing and storage (Adhya, Saha and Das). Furthermore, the company will also require specialized and expert staff in this project to work on IoT implementation in the key selected areas of Cisco Company. Devices and employees working for data acquisition will process and measure the real world conditions for the conversion of this information into digital readings at fixed time intervals. Here sensors will be used as hardware to measure physical variables and covert information about these variables in the electrical signals (voltages). Employees and hardware devices used for the data processing and storage will process data and store capabilities to perform basic handling, analysis of data, and transformation of information. The devices used for this purpose would have the capability to perform directly on the collected data. For instance, a gateway device known as the router will be used here. Bluetooth, LPWAN, and RFID will be used for the connectivity purpose (Al-Sarawi, Anbar and Alieyan). Network connectivity will support communication and transmission of information based data within connected devices, Devices will communicate wirelessly to publish data to apps and services in the cloud.    

Potential Future Needs of Use of Data Mining Techniques and IoT

            An opportunity is going to present for the potential of future need of information of technology as without having to sort it all out, it may connect all type of different devices, learning from different data type and also collection of different type of data. The future expectation explain that before we even know that we are looking for or trying to accomplish, we may be able to learn from blood analyzer, scissor lifts or wind turbines. The edge is consider as the starting point of processes and the continuum  of the points may vary with each situation, and in the IOT the data can be generated, collected, aggregated, analyzed and stored  at the continuum of points.

            At the edge, everything outside the data center is going to generate the data and connect with the internet. It include health care equipments, pets, locomotives, turbines, smart devices in the home, streetlights, automobiles, machines and appliances. With the technology of today, some amount of computing power and intelligence can be replaced in edge devices. Because most edge devices don’t have sufficient computing and storage resources to perform machine learning but data can’t be fully analyzed at the edge yet and in advance analytics edge. At the edge many IOT applications observe data and for analysis move to the cloud. So the future of the IOT explain that industries that at right place and right time extract the right business are depend on the latency and cost of underlying business problems related to edge or cloud. But with more advance technologies the threats of security and privacy also going to increase and proper legal and security implications must be established. With the IOT things have changed because it is belonging top connected logics that mean when touch the technology then it going to be updated. So the scalability of the IOT also going to increase with the advancement and by adopting latest technologies. Further the security of the IOT also upgraded according to latest demand and its requirements. So keep all the security perspectives in mind because real world is very much different from the mind and we have to applicable all security levels according to real world. With adopting the advance IOT infrastructure in the real life the and at the time of its implementation the security settings will be prepared at the start of the processes because it is going to be very difficult to build between the processing. IOT security is going to be very complex so proper care must be required in the implementation and its smooth running. So the future of the IOT and data mining is very mush helpful and beneficial for the users but proper setup must be adopted and proper attention must be required in adopting these latest technologies. (Turner)

 Logic Components or Assumptions of Use of Data Mining Techniques and IoT

           Two types of logic components or assumptions that must be built into the process are analytics and automation. Analog data collected from the business operations of Cisco through the use of sensors and devices will be converted into an easy to read and analyze format. This task can be only done by the IoT ecosystem with the support of managers and IT experts. Here the important assumption is to ensure analysis of irregularities to avoid scams and data security issues. The second logic component is automation. Databases will have an automated system to analyze and accumulate data stored in these databases.   

Statistical Techniques of Use of Data Mining

            Two statistical techniques selected for the elevation of IoT performance is regression analysis and mean. Regression analysis will represent the difference and variance in the outcomes of several dependent and independent variables. While on the other hand, mean can provide information about the average. Arithmetic mean is basically a sum of all numbers and division by the total number of items listed in a data set. Collecting information about the mean of a data set can provide us average outcome or tendency of the information presented in the dataset. Furthermore, a regression can also support in determining the relationship between variables presented in a dataset.

Conclusion on Use of Data Mining Techniques and IoT   

            The whole discussion concludes that the IoT system is commonly adopted in many big companies to support automation system and data processing in the cost effective and time efficient way. Cisco Company the world famous company in IT and networking field is also using and supporting IoT in business integration and automation of the processes. Cisco goal is to promote and support automation in the production area, testing area, and monitoring system to avoid financial loses as a result of the wrong production. The two statistical techniques selected to analyze the results and outcomes of the IoT system are regression analysis and mean.   

 References of Use of Data Mining Techniques and IoT