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DIGITAL IDENTITY FOR COMPANIES

Learn how to utilize Google Analytics, Google Alerts, SEO, social media analytics, and big data to monitor and optimize your company's digital presence. Project Number: 2017-1-ES01-KA204-038304

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DIGITAL IDENTITY FOR COMPANIES

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  1. DIGITAL IDENTITY FOR COMPANIES MONITOR AN E-ENTERPRISE Get conNEcTed to the Job Market Project Number: 2017-1-ES01-KA204-038304

  2. CONTENT • Google Analytics • Google alerts • SEO • Social media analytics • Big data Project Number: 2017-1-ES01-KA204-038304

  3. What is google analytics? Project Number: 2017-1-ES01-KA204-038304

  4. Google Analytics - Description • Freemium web analytics service offered by Google that tracks and reports website traffic. • The most widely used web analytics service on the Internet • It is offered also in two additional versions: the subscription-based Google Analytics 360 and Google Analytics for Mobile Apps Project Number: 2017-1-ES01-KA204-038304

  5. Google Analytics- Features • Integrated with AdWords • can identify poorly performing pages with techniques such as funnel visualization • Google Analytics e-commerce reporting can track sales activity and performance Project Number: 2017-1-ES01-KA204-038304

  6. Google Analytics -Training Google offers: • free Google Analytics IQ Lessons, • Google Analytics certification test, • free Help Center & FAQ and • Google Groups forum for official Google Analytics product support. Project Number: 2017-1-ES01-KA204-038304

  7. What is google alerts? Project Number: 2017-1-ES01-KA204-038304

  8. Google Alerts- Description • It is a content change detection and notification service, offered by the search engine company Google. • It sends emails to the user when it finds new results—such as web pages, newspaper articles, blogs, or scientific research—that match the user's search term(s). Project Number: 2017-1-ES01-KA204-038304

  9. Google Alerts- Features • Simple keyword monitoring. • Mentions delivered to your inbox • Real time results • You won’t get social media results • You won’t get any analytics or reports Project Number: 2017-1-ES01-KA204-038304

  10. Google Alerts- Setting up • Go to google.com/alerts • Choose your keywords • Select the frequency • Choose your sources Project Number: 2017-1-ES01-KA204-038304

  11. What is SEO and how it can be used? Project Number: 2017-1-ES01-KA204-038304

  12. SEO - Description Search engine optimization (SEO) is the process of affecting the online visibility of a website or a web page in a web search engine's unpaid results—often referred to as "natural", "organic", or "earned" results. As an Internet marketing strategy, SEO considers how search engines work. Project Number: 2017-1-ES01-KA204-038304

  13. SEO - Features SEO techniques  "white hat" and "black hat“ SEO is not an appropriate strategy for every website Better optimization of the website  better generation of user interest Project Number: 2017-1-ES01-KA204-038304

  14. How does SEO contribute to your business More users to your website Project Number: 2017-1-ES01-KA204-038304

  15. Social media analytics and how they can be used Project Number: 2017-1-ES01-KA204-038304

  16. Social media Analytics Social media analytics is the practice of gathering data from social media websites and analyzing that data using social media analytics tools to make business decisions. • Facebook analytics • YouTube Analytics • LinkedIn Analytics • Twitter Analytics • Instagram analytics Project Number: 2017-1-ES01-KA204-038304

  17. Social media Analytics Social media marketing  marketing campaign engage better with customers Important Social Media Marketing Tips • Social Media Content Planning • Great Social Content • A Consistent Brand Image • Measuring Success with Analytics Project Number: 2017-1-ES01-KA204-038304

  18. Social media Analytics - Types Diagnostic Analytics – why something happened? Descriptive Analytics – What happened and/or what is happening? Predictive Analytics– What will happen and/or why will it happen? Prescriptive Analytics– suggest the best action to take when handling a scenario Project Number: 2017-1-ES01-KA204-038304

  19. The era of big data Project Number: 2017-1-ES01-KA204-038304

  20. Big data Big data is data sets that are so voluminous and complex that traditional data-processingapplication software are inadequate to deal with them. Big data challenges include: • capturing data • data storage • data analysis • Search • Sharing • Transfer • Visualization • Querying, updating, information privacy • data source Project Number: 2017-1-ES01-KA204-038304

  21. Big data Main components and ecosystem of big data are: • Techniques for analyzing data, such as A/B testing, machine learning and natural language processing • Big data technologies, like business intelligence, cloud computing and databases • Visualization, such as charts, graphs and other displays of the data Project Number: 2017-1-ES01-KA204-038304

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