Project Proposal Assignment: Role of data science in digital marketing
Question
Task: Conduct a critical research and write a project proposal assignment on the role of data science in digital marketing.
Answer
Introduction to project proposal assignment:
Digital marketers can get help from data science for analyzing the sentiment of different people. This thing can provide significant insight into the customer satisfaction and adaptability of the new advanced technology. Customer reaction is also criticized to understand the knowledge about the business. An effective strategy and marketing campaign are more useful than any other competitive advantage in the market. This data science can use artificial intelligence in the market for understanding open-ended questions like “what” and “how”. Artificial intelligence is determined as one of the top technologies in the market for utilizing open-ended questions in a significant manner. The data reach business environment is also recognized as a useful technology to understand the growth of such a business environment. The program will run in such a way to understand the skills and innovative technologies in the market.
Research aim:
The main aim of the report is to analyze customer satisfaction by implementing the digital analysis system in the market. Strong customer satisfaction can also become predetermined with the help of artificial intelligence.
1. Digital marketing strategy is one of the important technologies to guide companies effectively and effectively help customers. Digital savvy professional creates a wide range of opportunities for effectively expanding the market.
2. Recruiters can easily identify the technique to find all young talent in the market. Many companies are trying to implement this business strategy effectively to grow some young talent in the market.
3. A marketing campaign is also determined as one of the important aspects of creating a significant scenario in the market. It can collect data, interpret data and understand the adaptability of the market.
4. Search Engine optimization and advertising strategies are recognized as useful content to improve the website's traffic through search engines. Data analytics and machine learning help to improve better customer satisfaction in the market.
Moreover, it can be said that data analytics can create an artificial environment to understand what components are working and what is not.
Research question:
In that Research proposal, research questions are developed based on the research aim of the proposal. It can identify 5 different areas of W. It can also demonstrate the concept of who, what, why, when.
What are the important strategies to guide companies effectively
How do digital-savvy customers create a wide range of opportunities and create a significant impact within the market
What is the procedure that a recruiter can identify the technique for finding young talents in the market
How will the business strategy be grown in the market to expand the business effectively
When is SEO required to improve the website traffic flow systems
How does machine learning help to understand the mind and psyche of individual customers
Rationale:
Data science provides an open-ended question to understand how all the events occur. This approach can also become very helpful to understand the psyche of all digital customers. The digital market is also becoming very helpful to improve efficiency in the market. A standardized procedure is also required to understand the implementation of digital marketing. AI-based platforms can also ensure the foreseeable future of digital marketing. It can also ensure the growth of the organization. Automation, Decision making, and customer buying behavior are also analyzed by this particular environment in organizational growth. Marketers are always trying to find out the target ad as a customer. It can also enhance efficiency in the market by improving the automation system within the organization. Apart from these things, Data science has also become very helpful to understand the email marketing strategy in the market.
Data analytics can also measure statistical information to understand the improvement of big data science. Nowadays well-known marketers are trying to involve such technology to analyze the customer's buying behavior in the market.
Search Engine Marketing is also recognized as a useful paid strategy to understand the visibility of such products in the market. Different result pages have appeared here to understand the brand payment of the ads. Search results have also produced some ads for improving search engine results on the world wide web.
In this area, Researchers have demonstrated the section where they can find some difficulties to process the whole task. Multiple areas will be notified to understand the gap of such literature. A concrete concept was missing to explain the actual purpose of data science for marketing. Different researchers have produced different types of concepts so that it is very tough to stick to a particular situation. The researcher has faced a lot of trouble to conclude. Useful articles are seldom found to analyze the whole objective properly.
Reason: The main reason for this research rationale is to understand the growth of the digital marketing concept with direct and indirect help. It can also demonstrate the actual perception of organizational growth.
Objectives:
To build the main form of extracting the business focus from the sides of insight the data and estimate the values of essential business opportunities.
To expand the digital marketing concept in to and fro manner with the help of Search Engine Optimization and Search Engine marketing.
To establish the business by implementing artificial intelligence and data science techniques.
To understand the utilization of advanced technologies and implementation of new technologies within the organizational growth.
To understand the growth of the organization, interaction is very important among all data scientists. It can also bring a wide range of opportunities to expand the product all over the world.
To expand the business or generate more revenue in the market online business and digital marketing are quite significant within the organizational growth.
To use the technology of digital marketing, the young generation can create a wide range of scope to earn money from the comfort zone of their house.
Analyzing all these objectives, data science is one of the important key tools which can help to build a career in the digital era of the business. Whether a concept is working or not for the marketing can also become determined with the help of data science technology.
Literature review:
Different authors have produced different concepts to establish real-time data scenarios. They illustrate the concept of data analysis to analyze the digital marketing concept. The real-time data structure can be collected with the help of optimized and current future marketing strategies. Data science can also become more helpful to maximize the efficiency of the product in the market. Automation systems and decision-making can also read the customers' buying behavior in the market.
According to Saura et al., 2017, Data science can usually understand the customer's buying behavior. It can also create a collaborative environment for enhancing the growth of the business and expanding the product effectively. Product adaptability can become determined by the help of such innovative technology or artificial intelligence in the market. Data science can be practiced by digital marketers to shape the marketing plan in a significant manner. Campaigns should be more efficient to make consumer information more effectively in the market.
Another perspective is campaign planning which can be stated by (Lies, 2019). It can give a very simple and short demonstration about the easiest planning of the business. All required information has been gathered from the actual sites and social media careers. It can also demonstrate the customers' involvement to buy any particular product in the market. The preliminary stage of the marketing can become analyzed with the help of data analysis and artificial intelligence concepts. It will also determine the growth of the organization.
Digital marketing concepts can also analyze the digital marketing operation to launch a particular product in the market. It can also boost up efficiency in the market. Customer action and buying patterns are also analyzed with the help of different authors' perceptions. Customer support is also determined as an important concept that can also become analyzed from the perspective of the author. Authors were constantly trying to raise the significant opportunities in the market which can improve the growth of the organization.
Saura et al., 2019, said that local customer attention is very important to build up the bud of the particular product in the market. A strong perspective is very important to maintain customer satisfaction in the market. Customized experience is also very important to improve the data analytics system in the market. Customer recognition is also called an important aspect to expand the business effectively in the market. These are the main things that need to be implemented here to improve better customer satisfaction in the market. Few authors are approved artificial intelligence to measure performance. On the other hand, the Authors were opposed to the concept of customer satisfaction with the help of data analytics key metrics. It can also ensure the growth of the organization in the market. Moreover, Data analytics is recognized as a significant tool to improve the growth of the organization in the market.
Proposed methodology:
There are a few parts that are going to be discussed here to improve the organizational infrastructure in the market. The proposed methodology is determined as an important structure to understand the application development of a particular program. The methodology is one of the important sections to measure the key values of digital marketing in the short term and long-term planning process. Primary methods are one of the important keys where data have been collected from the sides of all users. On the contrary, Secondary data information is used to collect information from different authors' perceptions. Here in that case secondary research methodology hasbeen introduced to improve the organizational growth in the market.
Work breakdown structure is also determined as one of the important methods to segregate the tools efficiently. Short-term prototyping is recognized as an important framework to understand the structure of different components. These tools are determined as R language, Python, Tableau, Microsoft Excel, and Power BI. It can statistically represent the data. Graphical analysis is also given with the help of the excel tool. As a result, it can measure the actual efficiency of the project in a significant manner. Several authors also approve of the concept of such versatile tools in the market.
Microsoft Power Bi tool:
It is also determined as one of the important tools to analyze the business intelligence platform of the data sources in the market. Users can also synchronize the dashboard with the help of the Power BI tool. It is also determined as one of the important machine learning models to integrate the azure machine learning system. It can also demonstrate and analyze all data critically for coming to a particular conclusion.
SAP business object:
It is also demonstrated as an important concept to suit the business intelligence for data recovery, analysis, and reporting. Those tools are mainly used for performing complex business operations in the market.SAP business structure has become more helpful to understand the growth of such business projects.
TIBCO software:
TIBCO software is also determined as an analytical platform to provide the natural language. It is designed by the model of an Artificial intelligence tool. It is also determined as the comprehensive visualization tool for producing any reports within mobile and desktop applications.
These tools are playing a vital role to understand the adaptability of the product in the market. Well-groomed statistical information has given an idea about the foreseeable future of this product. Data visualization and analytical performance are recognized as important measures to analyze the measure of the application. These tools are enhancing digital business in a significant manner to improve organizational growth in the market.
Reference:
Saura, J.R., Palos-Sánchez, P. and CerdáSuárez, L.M., 2017. Understanding the digital marketing environment with KPIs and web analytics. Future Internet, 9(4), p.76. https://www.mdpi.com/1999-5903/9/4/76/pdf
Lies, J., 2019. Marketing Intelligence and Big Data: Digital Marketing Techniques on their Way to Becoming Social Engineering Techniques in Marketing. International Journal of Interactive Multimedia & Artificial Intelligence, 5(5). https://elk.adalidda.com/2019/06/ijimai_5_5_16_pdf_13983.pdf Saura, J.R., Herráez, B.R. and Reyes-Menendez, A., 2019. Comparing a traditional approach for financial Brand Communication Analysis with a Big Data Analytics technique.Project proposal assignment IEEE Access, 7, pp.37100-37108. https://ieeexplore.ieee.org/iel7/6287639/8600701/08667819.pdf
Garg, P., Gupta, B., Denver, S., Sivarajah, U. and Kumar, V., 2020. Examining the relationship between social media analytics practices and business performance in the Indian retail and IT industries: The mediation role of customer engagement. International journal of information management, 52, p.102069. https://fardapaper.ir/mohavaha/uploads/2020/06/Fardapaper-Examining-the-Relationship-between-Social-Media-Analytics-Practices-and-Business-Performance-in-the-Indian-Retail-and-IT-Industries-The-Mediation-Role-of-Customer-Engagement.pdf
