Strengths and Limitations of Social Media Analytics Tools
Dražena Gašpar, Mirela Mabić
Abstract
Dražena Gašpar, Mirela Mabić
Abstract
The aim of this chapter is to research and present strengths and limitations of social media analytics tools used in the financial sector. Emphasis is on the business point of view that sees the social media analytics as a collection of tools that transform semi-structured and unstructured social data into noteworthy business insight. There are two main aspects of social media analytics: the technology aspect which covers identifying, extracting, and analyzing social media data using sophisticated tools and techniques; and the business aspect which interprets the data findings and aligns them with business goals. Namely, it is simply not enough to have a social media analytics tool; the tool should be strategically aligned to support existing business goals. The chapter offers a framework for easier adoption and implementation of these tools in the financial sector.
OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
The aim of this chapter is to research and present strengths and limitations of social media analytics tools used in the financial sector. Emphasis is on the business point of view that sees the social media analytics as a collection of tools that transform semi-structured and unstructured social data into noteworthy business insight. There are two main aspects of social media analytics: the technology aspect which covers identifying, extracting, and analyzing social media data using sophisticated tools and techniques; and the business aspect which interprets the data findings and aligns them with business goals. Namely, it is simply not enough to have a social media analytics tool; the tool should be strategically aligned to support existing business goals. The chapter offers a framework for easier adoption and implementation of these tools in the financial sector.
Key concepts: Social media analytics, Analytics, Social media, Business analytics, Cultural analytics, Data science, Computer science, Data analysis