This report will entail the definition of the trending analysis the internet of the shared things.it will be summarized in the form of the commercial briefing of the paper. A trend refers to a common direction of a given market or of the price of an asset. Trends can vary in period such as it may be from short term, to intermediate, to the long period. Identifying a trend is profitable, because a customer will be able to trade with the current trend.
A trend analysis refers to an aspect of technical analysis that usually tries to focus the future aim of a stock of a given organization. .it is based on the past data and on the ideal idea that what happened previously provides the traders with an idea that will happen in the near future.
Trend analysis helps predict a specific trend such as bull market run and ride that will trend until data outputs a trend reversal. Trend analysis is very important since it will lead to the firm getting profit from the investor.
Blip par is one of the British companies which have vastly contributed to Image recognition. This recognition refers to the technology that detects patterns or sequence on a given image. This has resulted into turning the recognized push communication to pull communication. Device that has cameras such as tablet pones and a smartphones are usually used to take a comprehensive photos and pictures. The ease of capturing product images using the camera devices has resulted into an internet of sharing things. Unethically, several images get exposed into social platforms such as the WhatsApp, Facebook, Instagram, linked in and viper. These are among the social sites that most images of different kind get exposed. Therefore, with this kind of fraudulent exposure of images where children, parents and guardians can get assessed to things like the pornographic images on the social sites has cause mayhem in the society.
Advantageously, customers do get access to advertised information from different firms or companies.
Meeting the needs of the customers
Google has also facilitated the sharing of things online.it has also augmented reality-based head-mounted display called the Google Glasses 22. This comprises the wearable glasses that display the necessary information in the smartphone-type format. Customers do also interact with the internet by using the natural language voice demands.
These glasses with seamlessly project display the information on to the scene into the front of the wearer. At this point, the customer can come into contact on how to reviews compare prices of any kind of product in a given store. Also the customers can share the reviews and the restaurant menus. Besides that in the online library bookstore, the consumer will therefore access the book reviews and also the author information.
Persuading the customers
Customers should realize that firms that usually choose not to comprehend their users or customers purchasing behavior often lose out. A well processed product may therefore fail since the customer does not identify herself or himself. It is therefore high time that the customer should be eligible and well conversant with how to interpret the information to act as a necessity and thus provides good results that are anticipated.
The above factors has therefore this has necessitated the use of AR which explores the synergies in video and print marketing. Customers should get accessed to this. Marketing flyers basically can be used by the organization to trigger images that, when scanned by AR-enabled device using image recognition, it activates a video version of the promotional material. (Stamatis, D., 2003). This will assist most customers share the information or the advertised video through the internet. Internet is the platform where the customers do get the lump sum of information required.
Therefore with the use of AR technology things will be more accessible and well maximized. AR has also lead most phone manufacturing companies initiate some different types of phones that have barcode scanners. (Schmittlein, C., & Peterson, R., 1994)This action assist customers interact and offer extra information to each other on online prices of goods to each other. Research was done and it was concluded that AR based apps do generate close to USD 300 millions of government revenue globally in the year 2013; this is when the retailers showed the appetite for such features.
There exist several drivers that do necessitate customers use the internet or enhances the use of internet things. The Internet of Things has been accelerating faster and vastly. The early steps on the steps followed for growth of IoT is now providing a way to a well pleasant mature market outlook which breaks down the white spaces that has had the capability of emerging along the way.
It is been observed that the Internet of Things has been immensely evolving now and it may take different ways in the setting of an enterprise. Though the internet for things is growing at an alarming rate, there are two aspects that do exist which will pose much of great impact on to IoTs evolution. The two aspects include what leveraging data looks like such as in form of visualization and analyzing and also in the process of edge computing.
During the introduction of IoT it used to aim on notifications basically. It could trigger and alerts hence it vividly provided allotment to the plant managers always when machine fails to work. However, several systems which are used currently do not output large volumes of underlying raw or the underlying facts. Or with such breakdown on the system, they can also call out different between the use of cases when data in the process are interfered or abstracted from the device level.
The good thing is that most organizations or the enterprises do need the IoT data being disseminated by these systems following the rule that suits other intersecting or separating systems, as well as exogenousing the data sources such as in the operational data.
A nice example that will be used to explain the above information is the use of railway system. There are vast factors in the train equipment data with its adjacent infrastructure data, weather conditions, street traffic, temperature data, scheduling data, and any other available information. The true utilization of data necessitates the intake of the sensor data along with operational, investigative and predictive analytics, or any other creative applications.
The other key driver in the advancement of the IoT is edge computing: the idea that you capture, process and store the messages locally. This enables filtering of irrelevant messages while bolstering the increasing the bandwidth of payload attached to the messages. Other edge computing values driving IoT are simpler devices, increased localized security, and reduced latency between other device signals. There are vast factors in the train equipment data with its adjacent infrastructure data, weather conditions, street traffic, temperature data, scheduling data, and any other available information. The true utilization of data necessitates the intake of the sensor data along with operational, investigative and predictive analytics, or any other creative applications
An organization should get equipped with this kind of analysis since it always has the aspect of bulling the market. Always the bull markets are characterized by the factors such as the optimism, these aspects enables the organization balances all the factors of productions in order to achieve their set goals and objectives. With such motives, the organizations hard work and the good way of interacting with customers, also by laying a good foundation that suits the price friendly of the customers is always necessary.
Confidence of the investor of the investor is another factor that the organization should implement. Investors should be given the favorable conditions both from the quality of the products and its prices. Lastly, the main expectations from the customers should be taken into an account and should always continue to suit the customer forever this will enhance the attraction for more investors... Mostly it is difficult for someone to predict consistently in the market given that the trends do keep changing. The part of the difficulty that is mainly experienced in the trend analysis is the psychological effects. These speculations may sometimes play a large key role in the markets. (Chen, J. ,2001). Always the bull markets are characterized by the factors such as the optimism, these aspects enables the organization balances all the factors of productions in order to achieve their set goals and objectives. With such motives, the organizations hard work and the good way of interacting with customers, also by laying a good foundation that suits the price friendly of the customers is always necessary.
Trends analysis that does exist such as Volume to price is one of a trending analysis predictor which vividly brings out the relationship between the price and volume of a given product in the stock market. The demand and supply do usually affect the pricing and the supply of goods that it should be brought to the market.
The volume to price analysis is usually based on a running the total volume that do deducts or pose the addition of a multiple of the percentage change in sharing the price trend in relation to the current existing volume. It is usually believed that this analysis majorly depends upon the investment's that usually takes place downward or upward way of movements.
In conclusion trending analysis is one of the interesting filed that all customers should get acquainted. This trend has improved the work of advertisements, enhance the amount of sales that the sales person thereby making a high rated profits. With this trend electronic marketing or the electronic commerce will get much advanced.
Customers should therefore get the real information from the actual sellers of goods. This will help reduce the online malicious fraud of which the buyers may be exploited by a wrong individuals who may con the buyers and pretend to be the real sellers of the commodities advertised.
Zhongping, W. A. N. G., Changliang, S. H. I., Qiang, L. I., & Gang, W. A. N. G. (2012). Coupling trending analysis about urbanization and urban resource in Beijing. Energy Procedia, 5, 1589-1596.
Iera, A., Floerkemeier, C., Mitsugi, J., & Morabito, G. (2013). The internet of things [Guest Editorial]. Wireless Communications, IEEE, 17(6), 8-9.
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