Data analysis in Qualitative Research

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Data analysis in Qualitative Research

• Data analysis can tell you what is happening, but
  it won't tell you why

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Data Analysis

• Data analysis can tell you what is happening, but
  it won't tell you why. So qualitative approaches
  are a must to bring together the what and the
  why! An enticing thought advancing towards AI,
  ML, and predictive analytics is that more data is
  better. Why wouldnt it be? As data is the new
  fuel of the upcoming digital economy, the
  quantity of data matters.

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Qualitative Research Data Analysis

• The technologies required in qualitative research
  data analysis exist in a wide range. It helps to
  explain the varied use by organizations and
  vendors. Every organization uses data widely
  today. Although not all data is used for
  analytics analytics cannot be conducted without
  data.

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Qualitative Data

• Qualitative data is typically more tedious to
  analyze. It is under the domain of human analysts
  due to the high level of contextual understanding
  and social intelligence. Qualitative methods
  include interviewing groups of people, holding
  focus groups, and conducting in-depth
  observations.

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Data Analytics for Businesses

• Strategic thinking and planning are essential for
  growing your business, especially during
  difficult times. With the introduction of
  data-driven decision-making, businesses have
  increasingly turned to data analytics to assist
  in decision-making. However, to extract
  meaningful insights, the data analysis should be
  efficacious.

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Data Analytics for Marketers

• For marketers, big data is a weapon that gives
  businesses a competitive edge in modern markets.
  So, data helps with detailed insights on consumer
  behavior and can assist from consumers initial
  interest to final purchase. In the last decade,
  data analytics has revolutionized the marketing
  industry.

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Qualitative Data Analysis

• Qualitative data reveals how your customers feel
  and what they expect from you. Analysts achieve
  solutions to problems by examining your
  customers experience (CX) and placing the
  customer at the center of everything. However, to
  extract meaningful insights, the data analysis
  should be efficacious. Youll need the right
  qualitative data analysis tools for this.

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Finally

• According to Gartner, 70 of organizations will
  shift their focus from big data to small. Big
  data will leverage available data, either by
  reducing the required volume or extracting more
  value from unstructured, diverse data sources.
• For more such updates, check Out recent Martech
  Cube blogs.