How to make time-data cyclical for prediction?
There are many ways to deal with time-data. Sometimes one can use it as time-series to take possible trends into account. Sometimes this is not possible because time can ...
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Data Compliance: An Integral part of Business Analytics
Data Compliance: An Integral part of Business Analytics Prashanth Southekal and Santhosh Raju “It takes 20 years to build a reputation and 5 minutes to ruin it. If you ...
Refined Data is the Key to Train Machine Learning
All machine intelligence is powered by data. This isn’t ground-breaking, or even news – we’ve known about data’s value for decades now. However, not a...
DSC Webinar Series: Weaponizing Data in the Fight Against White Collar Crimes
In this webinar analyst and advisor Alasdair Anderson will discuss how escalating global white collar crime activity is driving adoption of advanced analytics at a pace n...
How Data Warehousing Support in Faster Decision Making For Rapid Growth of Organisation?
The role of data is changing significantly with advanced methodologies used for upgrading sales and integrating business intelligence in the organisational schema for bet...
Business Analytics vs Data Analytics in One Picture
In my previous post, I discussed the differences between Business Intelligence and Business Analytics. Two other terms that are often confused are Business Analytics and...
Why the Concept of “Citizen Data Scientist” Terrifies Me
Imagine this scenario: You enter your dentist’s office as a follow-up visit to the 6-month checkup you had last week. You’re nervous because the checkup revealed blee...
Does Big Data Impact Business Mobile App Development?
This is a major contribution of analytics and big data when you talk about the success of mobile app development. Big Data is large data sets that can be analyzed to know...
Multi Gigabyte R data.table for Ohio Voter Registration/History
Summary: This blog details R data.table programming to handle multi-gigabyte data. It shows how the data can be efficiently loaded, “normalized”, and counted....
Use the Data Insights Iceberg to Manage Stakeholder Expectations
One of the main challenges in data science projects is managing stakeholder expectations. Often those in the business will have little idea of the complexity and timescal...