Before products became smart and connected, data was generated primarily by internal operations and through transactions across the value chain—order processing, interactions with suppliers, sales interactions, customer service visits, and so on. Firms supplemented that data with information gathered from surveys, research, and other external sources. By combining the data, companies knew something about customers, demand, and costs—but much less about the functioning of products. The responsibility for defining and analyzing data tended to be decentralized within functions and siloed. Though functions shared data (sales data, for example, might be used to manage service parts inventory), they did so on a limited, episodic basis.
Now, for the first time, these traditional sources of data are being supplemented by another source—the product itself. Smart, connected products can generate real-time readings that are unprecedented in their variety and volume. Data now stands on par with people, technology, and capital as a core asset of the corporation and in many businesses is perhaps becoming the decisive asset.
This new product data is valuable by itself, yet its value increases exponentially when it is integrated with other data, such as service histories, inventory locations, commodity prices, and traffic patterns. In a farm setting, data from humidity sensors can be combined with weather forecasts to optimize irrigation equipment and reduce water use. In fleets of vehicles, information about the pending service needs of each car or truck, and its location, allows service departments to stage parts, schedule maintenance, and increase the efficiency of repairs. Data on warranty status becomes more valuable when combined with data on product use and performance. Knowing that a customer’s heavy use of a product is likely to result in a premature failure covered under warranty, for example, can trigger preemptive service that may preclude later costly repairs.
Smart, connected products require a rethinking of design.
As the ability to unlock the full value of data becomes a key source of competitive advantage, the management, governance, analysis, and security of that data is developing into a major new business function.
While individual sensor readings are valuable, companies often can unearth powerful insights by identifying patterns in thousands of readings from many products over time. For example, information from disparate individual sensors, such as a car’s engine temperature, throttle position, and fuel consumption, can reveal how performance correlates with the car’s engineering specifications. Linking combinations of readings to the occurrence of problems can be useful, and even when the root cause of a problem is hard to deduce, those patterns can be acted on. Data from sensors that measure heat and vibration, for example, can predict an impending bearing failure days or weeks in advance. Capturing such insights is the domain of big data analytics, which blend mathematics, computer science, and business analysis techniques.
The businesses could benefit from the smart devices in following ways-
Faster, more effective product updates and development. Because manufacturers can continuously monitor products in use, they can update their products, patch problems, and rethink functionality—all of which improves customer satisfaction. The intelligence from smart, connected products can also inform future product features and new product development. We are all familiar with automatic app updates on our phones, giving us access to new features or fixing problems over the air. Smart, connected products can update themselves in the same way. Diebold, for example, can update and add new features to its smart, connected ATMs remotely via software.18 Fitbit has been able to increase its new product development thanks to the information it has on how customers use the fitness band—and those new offerings can come in the form of either hardware or software options.
Cheaper, more efficient maintenance and repair. Because smart, connected products can be monitored in the field, that data can be used to significantly streamline the process of maintenance and repair. Rolls Royce tracks the health of thousands of aircraft engines operating worldwide using onboard sensors and live satellite feeds. Its Engine Health Management system can predict when something might go wrong to address it proactively or transmit data on an engine problem so airlines can have their service technicians ready with the right part to make repairs when it lands, resulting in less downtime.
New, better business models. Many industrial
manufacturers are remaking themselves as service providers by
creating new business lines based on the analysis of smart product
data. GE Digital, for example, launched its Brilliant Manufacturing
software and service using real-time visibility into smart,
connected machines to help customers maintain equipment based on
operating conditions (rather than a breakdown), thus driving
greater efficiency.
In fact, some companies may see a benefit in shifting their
business models from selling goods to renting products and offering
services. Michelin, for example, has gone to market with a smart,
connected tire that is a product-service hybrid. Fleet customers
sign up for their customized tire lease programs and pay by the
mile for their usage while Michelin oversees any maintenance or
repair.The data that manufacturers gather from their smart,
connected products may also have value to other companies or
organizations that would pay for it. For example, analysis of
P&G’s Oral-B Genius data could be sold to retailers or dentists
who could use that intelligence to better run their own businesses.
Or, consider the opportunity that an automaker has to send useful
information to motorists through an in car infotainment system—such
as the location of a parking lot or a nearby event. The automaker
becomes a medium through which other businesses communicate to
prospective customers.
Explain why smart devices are desirable and give two examples of how businesses could benefit from...
Give two examples of how small businesses and the tourism industry can be creative to be resilient during COVID-19. Why is important for the industry to do this? Provide an example of a business that you know who has “pivoted” their business as a result of COVID-19. (4 marks)
What is a SMART goal? Please explain in debt detail and please give examples.
in material management, what is standardization? include )at least)7 examples of standardized systems/devices utilized by businesses that you know of. Standardization is very crucial, why? (pls expand)
explain how a scientific theory is different from a hypothesis in science. and give two examples of scientific theories.
In one to two paragraphs. Explain Agency Theory. Give two real examples of where the agent works against the interest of the company. How could governance help protect the company? Why did it not work well.
Explain and give three (3) examples of challenges faced by small businesses in the era of Covid-19. Please let the answer be in an easy form...
Question 1 1. Please give two examples of for the fraudulent financial reporting. Clearly explain why such frauds are conducted. 2. Please give two examples of for the misappropriation of assets. Clearly explain why such frauds are conducted.
Give two examples of fiscal stimuli (4pts each=8 pts) and explain why/when a government would use these (4pts). Explain how corporate tax cuts could be an engine for economic growth (5 pts). According to the RWM article, explain 2 ways the GOP Tax plan could increase income inequality (4 pts each=8pts).[hints: using an example to explain the need for fiscal stimuli and what it is may be helpful in answering this question].
How desirable is the combination strategy (i.e., low-cost and differentiation)? Are most businesses sufficiently equipped to implement such a strategy? Why or why not?
Give the biological definition of species and explain using two examples why it cannot be applied to all living organisms.