Chirag Shivalker
  • Ahmedabad
  • India
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Profile Information

Short Bio:
Chirag Shivalker is a Content head at Hi-Tech BPO, a company defining and shaping the future of market research industry. Their data management and analytics solutions give a complete view of trends, habits, customer experience, and loyalty for varied products and services.
Hi-Tech BPO
Job Title:
Content Head
Market Research
LinkedIn Profile:
Networking, Other

Chirag Shivalker's Blog

4 Key Principles of Data Collection

Posted on December 28, 2020 at 3:02am 0 Comments

In today’s data-driven world, companies across the globe are plunging into the humungous pool of online customer information that is made available through different modes of data collection. More than 2.5 quintillion bytes of data are created each day, and this number just keeps on growing. Moreover, it was found that 67% of customers were willing to give their data for some benefits in terms of…


How Data Cleansing and Enrichment Increases Profitability

Posted on March 4, 2020 at 9:24pm 0 Comments

In today's hyper-competitive business world, B2B & B2C businesses rely on data to achieve an edge in their markets. However, many companies do not realize that customer data decays rapidly and create challenges in achieving business goals. In the postmodern era, customers simply change base too often, and to maintain a complete and accurate record of their whereabouts is a challenging task. Dirty data not only damages your credibility but also costs you money…


4 Ways to Create Interactive Data Visualization Story

Posted on April 18, 2018 at 11:00pm 0 Comments

Appropriate data, audience understanding & building a good story for meaningful & powerful visual dashboards that influence & engage the audience for actionable insights; is the key. Here is an infographic is about storytelling with visualization:

4 Ways to Create Unforgettable Data Visualization Story

When to Categorize Continuous Predictor in a Regression Model?

Posted on October 24, 2017 at 10:00pm 0 Comments

Research fields usually follow the practice of categorizing continuous predictor variables, and they are the same who mostly use ANOVA. They often do it through median splits, the high value above the median and the low values below the median. However; this it seems is not that good an idea, and enlisted are some of the reasons to it:

  • Median tends to vary from sample to sample. This makes the categories in various samples have various…

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