Data science assists SEO experts in countless ways, like personalizing the customer experience, understanding client requirements, and many other things.
In the blog “Why Data Management is Today’s Most Important Business Discipline”, I challenged the business and IT communities to reframe the data management conversation; to transform data management from an IT practice into a business discipline focused on leveraging data (and analytics) to deliver business and operational outcomes.
Data integration is one of the most crucial resources within every business. But it’s certainly not a limited resource. As a matter of fact, data… Read More »How Customer Data Integration Can Take Your Business to the Next Level
In this article, let’s discuss one of the trendy and handy web-scraping tools, Octoparse, and its key features and how to use it for our… Read More »Exploring Octoparse for Data Preparations and Product Assessment
We are in the middle of a business model revolution. And we are active participants in that revolution. We have been transitioning from a society… Read More »What’s Your Business Model Choice – Hammers or Casino?
Introduction Splunk is a well-known log management tool. Splunk mines log from different machines in real-time and can be used to monitor, search, and analyze… Read More »Business Analytics from Application Logs and Database using Splunk
Businesses want insight and action, not data. Big data does not create value. But analytics and insights do! And they don’t have to be complex,… Read More »DSC Podcast Series: Visual, Predictive, and Streaming Analytics Digital Business Transformation
Learn about the fastest growing open source SQL on Hadoop solution in the market today, Presto. In this DSC webinar we will be providing an… Read More »DSC Webinar Series: Fastest Growing Open Source SQL on Hadoop
Join us for our latest DSC Webinar series as we discuss how enterprises have increasingly large volumes of structured and semi-structured data generated by all… Read More »DSC Webinar Series: Best Fit Engineering for SQL on Hadoop