• The Cost of Covid
    This is a follow-up to an article from February 2nd (2020) that I posted on LinkedIn about the extending footprint of the Coronavirus. The official name is COVID-19. In that article, […]
  • The Expanding Footprint of Coronavirus
    Footprint of Co-V reach is expanding at an alarming rate. This blog looks at the infections, deaths, and spread in comparison to SARS of 2002
  • Let Python’s List Comprehension Swallow the Bulk of Your Code
    Python is fast becoming the language of choice for machine learning and data science related activities. If you master a powerful techniques in Python, then this will come in handy when you do data prepping and data munching.
  • Tableau and its Chemistry
    Tableau can be used to build great visualization. If you spend little time and have a mindset to ask the right questions, then sky is the limit. This and series of blogs, i will make an attempt to show you how I start building visualizations using this great tool.
  • Tableau and its Trignometry
    Can you use Tableau to draw shapes? If you are dealing with this challenge, then the best place to start learning is by drawing a circle using your numbers!
  • Do You Want to “Fix” Your Calculations or Let it “Float” on a View? – Part I
    Level of Details (LOD) calculations can be very interesting and at times intimidating to work with. After some time, it really helps you to be more creative with your data.
  • A Y2K Love Story
    Small things matter! Otherwise, I wonder how could an obsolete technology come to rescue in a difficult job market?
  • Start Getting Caught up with a “Fishbone” in your Causal Analysis “windpipe”
    This is about the usage of a management tool called the Fishbone diagram. The story narrates how a new CIO helped the team realized the value of this tool in making the decision making.
  • Story of an IT Rollout
    Visualization techniques have a broad range of applications. This story describes how a tool and some collaboration work come to help the team way before DevOps started within the company.
  • How Much Money Do We Need to Keep Throwing at it?
    Analytics starts with great questions. The type of analytics can be one of; descriptive, predictive, diagnostic or prescriptive. But, they start with someone having a great question.

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