Articles

... where I talk about Analytics and Social Justice

Unveiling the Plight of Undocumented and Stateless Children in Sabah: A Personal Perspective

Social Justice
As our journey led us into the heart of Semporna town, I was struck by a distressing sight. Little children, aged around 5 or 6, sat and played in the middle of the road on its dividers. This image, among many others, will forever be etched in my memory—a stark reminder of the harsh reality faced by the neglected children left to their own devices. These children are the undocumented and stateless children of Sabah, facing a multitude of challenges and deprived of a safe and nurturing environment for their growth.
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Stored Procedures

Analytics
During my data exploration in the employees database, I always find that I frequently do cross checks and drill downs on individual employee records across multiple tables. Rather than rewriting the query (or even copying and pasting the codes over and over), it was easier to have a stored procedure and call it up.
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5 Reasons Why It's Not Too Late to Become an Expert in Excel

Analytics
Think Microsoft Excel will become obsolete (remember Lotus 123?) and will be taken over by some other new generation spreadsheets? Excel has been around for almost 3 decades and that’s older than some of you. They have been at the forefront of data entry, analyzing and managing resources and finances in businesses across various industries. However, in the last decade, there has been increasing competition from Google Sheets (Apple Numbers what?). In an era where everything is about collaboration, Google Sheets does have an advantage over Excel. But Microsoft is slowly catching up in this aspect, with the latest introduction of Microsoft Office 365, there have been efforts to increase collaboration with the use of OneDrive and it’s worth mentioning that Microsoft now offers free use of excel on Excel Web as well.
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Types of Analytics

Analytics
The term data analytics seems pretty popular these days. It is no surprise that with the amount of data generated every single minute, analytics are now focused on handling these new big datasets and making use of them to give us insights. This is where the role of data science in big data analytics, machine learning, and deep learning comes into play. The more data you have, the more intelligent your predictions can be. After all, DOMO in its Data Never Sleeps 7.0, estimates there are approximately 4.5 Million Google searches conducted every single minute.
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