GoorooTHINK

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  1. The state of gender diversity in the tech industry: Gooroo facts and data

    The discussion on gender diversity in tech recently heats up with the viral memo on gender issues (titled "Google's Ideological Echo Chamber") by ex-Googler James Damore. Since then it has attracted several follow ups, including prominent ones by the New York Times or by The Washington Post. At Gooroo, it is pretty relevant to us as the tech industry is our main focus. We are specifically interested in knowing the facts behind the state of gender balance/diversity in tech companies...
  2. Portfolio Resource Utilization in Project Online using Power BI custom Reports

    With the growing number of projects across multiple LOBs, the PMO needs an easy and intuitive way to gain a quick insight into the resource capacity across the entire project portfolio. Traditionally, resource capacity planning is a challenging task due to the lack of enterprise-wide resource pools and/or lack of planning, in general. One of the most crucial responsibilities of a project/resource managers is the planning & monitoring of resource workloads. In most organizations today, resources...
  3. How to remove HTML tag using SQL?

    If you have your data with tags like < div>,< span> , < br> , etc. You can use the function below to remove this characters from your string. Blog.The function removes all content between the characteres < , > and also that characteres too.The HTMLString is the input for the function below, the column ClearString is the output for the function below.I hope that will help you.Cheers!
  4. Analyzing the analysis: How not to get fooled by the Data Scientist and Big Data

    Data Science and Big Data is a growing part of the business world. Often lauded as a crystal ball to predict the future or cure cancer it's easy to implicitly trust the data wizard and their expensive cluster of servers. However, doing meaningful data analysis is difficult and fraught with potential errors and incorrect conclusions.In this article I will outline some of the challenges of data analysis and provide you with a series of questions to ask of any data analysis to keep the Data Scientist's...
  5. Full Disclosure: About our analysis

    The data for the majority of our metrics comes from analyzing millions of job advertisements. This data is not perfect, but we believe that it is a good proxy for the analysis we undertake.Our data pipeline has many steps, each of which have the potential to accumulate errors, as such we outline each step below along with the types of errors which we are aware of and how we mitigate them. The pipeline consists of the following steps:Our source data is primarily expired job advertisments, which...
  6. Edit DRAFT Edit

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