Tag: Data Analytics
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5-year Strategic Plan on Data Science Development
This guideline is based on my personal experiences in tens of data analytics & data science projects and consulting works for the last decade. It should be fit for different organizations including corporations, non-profit organizations and institutions. Here is my suggestions on possible actions throughout a 5-year periods: Year 1: Building the Foundation…
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Importance of Real-time Data Analytics
Real-time (or better say near real-time) analytics make sense of all the real-time data that passing around an organization. Once a business is able to analyze data in real-time, they can generate insights during data streaming instead of storing and analyzing it in batches. Traditionally, data analysis happens once the data has been captured and…
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Data Science / Analytics – Best Practices
Many organizations and people are just focused on technology during the implementation of Big Data and/or Data Analytics. However, you should have the same predictive analytics result for the same algorithm no matter it is the programming code being written in SAS, R or Python. The truth is that the proper methodology is far more…
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Discovering Insights from your Data
Big data and data science have been discussed for many years. However, there are lots of failed cases of implementation around the world. With the digitalization, it is no longer difficult to collect data but some organizations are now facing the new problem of drowning in a sea of data. In this article, I would…
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Only 1 Project Management Approach in my Data Science Journey
As working in a leader role of a data science company, I would like to share my experience in managing different projects under different scales across industries. It could be concluded by one single word Iteration There is only one single project management approach being employed by our team. For this approach, it helps me…
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10 Myths of Data Science Exploded Totally
There are multiple myths floating around that add a false aura around data science roles and the related industry. The myths are built by people highlighting or even magnifying the benefits of data science with a number of use cases. I am always using my own term “verbal experts” to classify such people in the…
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Start your Data Analytics without Big Investment
Many small business owners would not start their first data analytics project due to price tag of Enterprise software like several hundred US dollar annual subscription for just data visualization of 1 user. For the investment, it could be US$100,000 to 400,000 for just payment on software. It is possible for organization to work…