Social Media Data Analysis and Visualization Tools
Download as PPTX, PDF2 likes838 views
The document provides an overview of social media data analytics and visualization tools, discussing the importance of analyzing user-generated data for better business decisions and audience segmentation. It outlines steps for analysis, compares qualitative and quantitative approaches, and presents various tools available for analytics and visualization. Additionally, it emphasizes the growing capabilities of data management platforms and the future potential for marketers in harnessing social media data.
Social Media Data Analysis and Visualization Tools
- 1. Social Media Data Analytics and Visualisation Tools BY SAYANI MAJUMDER M.A. (NEW MEDIA CONTENT DESIGN)
- 2. Presentation Outline 1. What Social Media Data Analysis is all about? 2. Why Social Media Data Analysis? 3. What Social Media Analytics Tools do? 4. Social Media Data Analysis Steps 5. Qualitative Analysis VS Quantitative Analysis 6. Using Social Media Analytics Tools 7. Classification of Social Media Data Analytics Tools 8. Some Social Media Analytics Tools
- 3. Presentation Outline 9. About Social Media Data Visualisation 10. What does Social Data Contain? 11. What web has to offer in Data Visualisation? 12. Why Social Media Data Visualisation? 13. Some Social Media Data Visualisation Tools 14. Bibliography
- 4. “ ” Data processing at massive scale is only now becoming realistic. And data about our wanderings around the web exist on hundreds of random site servers. Data management platforms and exchanges arose to do the piecing-together, and today more (usually anonymized) information is available to marketers than ever before. This will only get better. – MARTIN KIHN, GARTNER
- 5. What Social Media Data Analytics is all about?
- 6. Social Media = Big Data According to Gartner’s 3V Definition, Big Data has high Volume Velocity Variety
- 7. Statistics Huge number of users in popular social media platforms who generate high volume of data with high velocity having high variety.
- 9. What is Machine-Readable now Messages created and exchanged by users contain Linguistic content Links (e.g url) Topic Markers (e.g. Hashtags) Meta-Information (e.g. user profile, images, messages replied to, message language, time of message, location of message)
- 10. Human Generated textual data on Social media are Qualitative Data : Requires qualitative interpretation Large-Scale Data : Requires large-scale data mining techniques
- 11. Why Social Media Data Analytics?
- 12. To know how Clients Perceive any Product Gives organisations an edge over their competitors Advanced knowledge about how their products and services are being perceived by their clients as well as potential clients.
- 13. Help make Smarter Decisions It lets businesses can take control of myriad of online user data and information. Enables them to make smarter decisions regarding customer needs, attitude, opinions, latest trends and various factors that influence the same. Organisations can convert enormous amounts of the derived data into effective business plans and outcomes.
- 14. Segment Audience Enable organisations to segment audience along demographic and geographic users. Audiences are also categorised into actual user as well as potential users, including influencers, supporters and critics.
- 15. What Social Media Analytics Tools do?
- 16. Social media analytics tools provide information about the following: What things are trending in specific industries. How many people are visiting a business’s social media page. How long a visitor stays on the social media page. How many people click links from the social media page to the business’s actual website. What people are saying about the business. How many people are talking about a business.
- 17. Social Media Data Analysis Steps
- 18. Here are Steps to Analyze Social Media Data Analyze mood by means of sentiment analysis. Create time series and correlate it to real world phenomenon. Make predictions based on new data. Support decision making process.
- 19. Qualitative Analysis VS Quantitative Analysis
- 20. Comparison The qualitative analysis of the social media is regarded as the aspect that matters most. The quantitative analysis is actually catching up and gaining more attention due to the birth of new social media metrics tools.
- 21. Using Social Media Analytics Tools
- 22. Create a Goal Before You Choose a Tool Common goals include improving revenue enhancing customer service establishing thought leadership getting feedback on new product launches
- 23. Use Social Media Analytics to Plan Communication Social media data exposes what people are talking about, why those conversations are engaging them and how often they respond. By having this information, marketers can plan the communication for a business’s social media page. They’ll also know who to target and what to say to get a response.
- 24. Use Them to Generate Leads The lifeline of every business is its customers. Organisations create the best possible strategies to gain more customers. These strategies often include phone, email and social media marketing. Most internet leads come from inbound marketing methods such as simple Google searches or from mentions on social media pages. Leads can also be generated through own social media pages by utilizing helpful social media data.
- 25. Use Comparison Tools These tools don’t just analyse one profile for changes, it monitors social media analytics of competitors as well. The obvious benefit here is knowing what a competitor is doing right. This is invaluable information that simple market research just can’t yield.
- 26. Classification of Social Media Data Analytics Tools
- 27. Social Media Monitoring This type of tool will check on the conversations in social media and will tend to look for those keywords that a business is interested in. Such tools are often called “listening” tools. These tools are utilized to track and determine how often their services, products, or simply their company name is mentioned. These tools will also help track the company’s competitors and the trends in a specific industry or field.
- 28. Social Media Measurement The tools under this classification may also monitor They also have added capability of refining as well as measuring the data based on the specified parameters or filters.
- 29. Social Engagement The main function of these tools is communication. These tools will help automate any communication across the different social media platforms. If a social media user posts something on one channel, the other channel becomes updated as well.
- 30. Some Social Media Analytics Tools
- 31. 33Across 33Across’s SocialDNA Targeting technology combines social media analytics with your marketing efforts. It helps brands get a more complete picture of their online audience by analyzing how they interact with the brand’s social media interactions. Helps companies figure out the best places to focus their marketing efforts, which leads to more relevant ads for consumers.
- 32. Brandwatch It has support for 25 languages, ideal for international corporations with international reach. Like most other analytics suites, Brandwatch monitors all of the conversations across various social networks. The company claims that its algorithm cuts through social spam to help find the conversations that really matter.
- 33. Google Analytics It is a free analytics tool. “Social Report” can be used to determine the conversion value of visitors from social sites as well as see how visitors from different social sites behave on your site. “Activity Stream” shows in real time how people are talking about your site on social networks.
- 34. Hootsuite Hootsuite offers a single online dashboard to manage your social media accounts. This includes Twitter, Facebook, Google +, LinkedIn, and more. Helps you schedule posts and manage your social media content. It has its own set of analytics tools.
- 35. Buffer For those who tweet or share a lot, Buffer helped them space out their social media posts, and also optimize the time of their publishing to maximize engagement and response.
- 36. About Social Media Data Visualisation
- 37. Social Media Data Visualisation Social media data visualisation is the science of visual representation of social data. Representing large amounts of disparate information in a visual for often allows you to see patterns that would otherwise be buried in vast, unconnected data sets. The effectiveness in conveying ideas is achieved by combining both aesthetics and functionality.
- 38. What does Social Data Contain?
- 39. Social Data A big part of the content available on the web is created by the users. This represents the largest amount of data on the Web that needs to be processed and visualized. Important derivative inforation may surface from creative ways of exploiting this data.
- 40. What web has to offer in Data Visualisation?
- 41. Web Offers Generation and storage of massive and growing amounts of data. A means to create and share many kinds of visualisations. Unprecedented access to data. Animations and user interactions.
- 42. Why Social Media Data Visualisation?
- 43. It is Necessary To study a social network. To understand how to improve the effectiveness of the network. To visualize your data so as to uncover patterns in relationships or interactions. To follow the paths that information follows in social networks. To do quantitative or branding research.
- 44. Some Social Media Data Visualisation Tools
- 45. Infogr.am Infogram provides an easy way to visualize data with different options such as Free Model, Pictorial, WordCloud and TreeMaps along with inbuilt templates for creating Infographics. The excel type spreadsheet interface is familiar and easy to input data and get started with Infogram in a few clicks.
- 46. Visual.ly Setup as a community platform for data visualization, it allows you to create and share visualizations on the platforms among an active community. In case you have an urgent requirement for visualization/infographics, you can count on Visual.ly’s community to deliver on time.
- 47. Gephi Gephi is a desktop application that comes in handy for mapping out relationships and can handle large amounts of data. It is useful when you are trying to map social relationships and how two entities are closely related to each other.
- 48. Tableau Desktop It is a paid visualization tool which is specifically designed for visualization with Big Data and has the ability to create on the go dashboards in minutes.
- 49. R R is a statistical tool that is used to handle huge amounts of data and has a fair bit of visualization capabilities as well. It is one of the tools you should focus on if you do want to get started with statistical analysis and advanced techniques with data.
- 50. Bibliography socialmediadata.com simplymeasured.com tableau.com hootsuite.com digitalinsights.in smashingmagazine.com Documents White Paper "What is Social Analytics“ by simplymeasured.com 7 Things You Should Know About… Data Visualization by Educause Book Debates in the Digital Humanities by Matthew K. Gold Websites
- 51. Thank You