Analysis of business oriented mobile media
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The document discusses the transformation in data consumption and communication primarily via mobile devices, emphasizing the necessity for effective analysis of both structured and unstructured data. It highlights the importance of rapid data processing for organizations to maintain a competitive edge and outlines the evolution of data mining techniques and big data concepts to manage complex mobile analytics. The text also indicates that traditional web analytics measures are inadequate for evaluating mobile application behaviors, suggesting the use of advanced data mining technologies.
Analysis of business oriented mobile media
- 1. Analysis of business oriented mobile media JANUARY 2014 AFF GROUP - ENTERPRISE MOBILITY WWW.AFF-GROUP.COM | [email protected]
- 2. The world is changing More and more data are being generated, and their extent is increasing further. • Content consumption and communication habits have changed. • The great majority of communication takes place on mobile devices. • Evaluation of structured and unstructured data requires appropriate systematization and analysis. AFF GROUP - ENTERPRISE MOBILITY WWW.AFF-GROUP.COM | [email protected]
- 3. Mobile data mining Looking for correlations among various data • We need developed analysis technique to retrieve useful data from huge amount of data. • Due to the recently increased processing speed of computers and analysis systems, the number, speed and accuracy of analyses have increased, too. AFF GROUP - ENTERPRISE MOBILITY WWW.AFF-GROUP.COM | [email protected]
- 4. Why is it important to process information quickly? Quick, instantly available data are needed • Data mining is not a new technology. • Early systems had a lot of limitations, as the amount of data strained the capacity and processors of storage systems. • Organizations have no time any more to await for several days for complex analyses. • It is inevitable to make instant and quick decisions in order to have competitive advantage. AFF GROUP - ENTERPRISE MOBILITY WWW.AFF-GROUP.COM | [email protected]
- 5. What kind of data can be retrieved from mobile devices? Joint examination of sensor data • Primarily we used sensor data independently. • We examined data of simultaneous measures of several sensors. • Traditional methods yielded no results. • It is necessary to discover correlations: based on real-life examples. • Based on the information gathered, we perform analyses by setting up models. AFF GROUP - ENTERPRISE MOBILITY WWW.AFF-GROUP.COM | [email protected]
- 6. How do we process data? Cloud computing, Big-data, BI, etc. • Business corporations do only store most of the gathered data, however, they are not able to analyze them. • The concept of “big data” emerged, which means data stored in a less rigid structure and processable in a different way than in previous data structures. • During our research activities it became obvious that we must be familiar with more than one technological solutions and trends and consider them when choosing the suitable mobile strategy. AFF GROUP - ENTERPRISE MOBILITY WWW.AFF-GROUP.COM | [email protected]
- 7. New trends in mobile analitics Analysis of business oriented mobile media • During measurements, a complex data set is generated, which can be handled with difficulty. • Traditional (generally accepted) web analytics indicators and measures are not sufficient in themselves to describe the behaviour of mobile applications. • Use of data mining technologies and methods. • Business intelligence solutions even for mobile devices. AFF GROUP - ENTERPRISE MOBILITY WWW.AFF-GROUP.COM | [email protected]