Data analytics.pptx use cases of web data

Data analytics presentation of web data presentation and use cases of web .4 types in that
Presentation of web data.
Uses cases of web data.

1. Data analytics BY R.KEERTHI PRIYA B.COM(CA)-3A R.NO-201221405010

2. TOPIC - WEB DATA

3. WEB Data Web data is an incredibly broad term. It encompasses a wide range of information which is collected from websites and apps about different users’ browsing habits, online behaviors and preferences. It can also include information about the consumer themselves, such as their details, search and purchase intent or online interests. Examples of web data include online product reviews, social media posts, website traffic statistics, and search engine results.

4.  Data that is sourced and structured from websites is referred to as " web data ". 

5. use cases of Web Data:

6. E-commerce Price Monitoring One of the main use cases of web data is e-commerce price monitoring. With the vast amount of products and prices available online, businesses can leverage web data to track and monitor the prices of their competitors’ products. By collecting data from various e-commerce websites, businesses can gain insights into market trends, identify pricing strategies, and adjust their own pricing accordingly. This use case helps businesses stay competitive and make informed pricing decisions.

7. Price monitoring is a process of continuously monitoring and managing the price of a product or service. This allows companies to ensure that they are not receiving too little or too much money for their goods or services. Today, most companies use automated tools to help with price monitoring

8. Sentiment Analysis and Brand Monitoring Web data is also widely used for sentiment analysis and brand monitoring. By analyzing data from social media platforms, review websites, and online forums, businesses can gain valuable insights into customer opinions, feedback, and sentiments towards their brand or products. This use case allows businesses to understand customer preferences, identify areas for improvement, and manage their brand reputation effectively.

9. Analyzing brand sentiment can reveal the factors that affect audience opinion, enabling businesses to take action to enhance sentiment .

10. Market Research and Trend Analysis Web data is a valuable resource for market research and trend analysis. By collecting data from various sources such as news websites, blogs, and industry forums, businesses can gather information about market trends, consumer behavior, and emerging technologies. This use case helps businesses make data-driven decisions, identify new market opportunities, and stay ahead of their competitors. These are just a few examples of the main use cases of web data. The versatility and abundance of web data make it a valuable asset for businesses across various industries.

11. Market trends analysis focuses on researching and monitoring changes in the market to identify gaps, patterns, and opportunities .

12. Main Attributes of Web Data Web data refers to the vast amount of information available on the internet, encompassing various attributes that can be associated with it. Some possible attributes of web data include the source or website from which the data originates, the date and time of data retrieval, the format in which the data is presented (such as HTML, XML, JSON), the structure of the data (such as tables, lists, or graphs), the content or topic of the data (ranging from news articles and social media posts to scientific research papers and e-commerce product listings), and the metadata associated with the data (such as author, title, keywords, and tags). Additionally, web data can have attributes related to its accessibility, quality, reliability, and licensing.

13. It includes structured data (e.g., Tables), semi-structured data (e.g., Web pages), and unstructured data (e.g., Text, multimedia). Web data is generated and updated at a high speed, with new content being added, modified, or deleted frequently.