Project Management Data Analytics: Benefits and Practices
Advanced data analytics is a driving power nowadays, covering various human activities and giving businesses worthy insights. Having enough analytical data about your ent...
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How to Win an Election Using Big Data
Before World War II, less than 20% of voters classified themselves as independents. Today that number is greater than 45%.As politics fails to appeal to more Americans,...
How Automation is Changing Freight Bill of Lading Data Entry
For those not involved in shipping, freight billing is the process of providing an invoice that includes information concerning the transportation of a company’s goods ...
Five Steps to Data Profiling for Successful Discovery
Data profiling focuses on examining and analyzing data, followed by creating a useful summary of that data....
CDN: Does Our Need For Internet Speed Put Sensitive Data at Risk?
What is CDN, does it endanger the sensitive data of internet users, and how can companies prevent hackers from exploiting its flaws?...
How to Use Python to Loop Through HTML Tables and Scrape Tabular Data
Iterating through HTML tables can be tricky, so we've created this simple guide to help you understand how to use Python to extract tabular data from public HTML tables....
What’s Data-Centric Architecture?
Data-centric architecture revisits architecture and turns that architecture on its head. Ever since the dawn of client-server computing, applications have been the focus ...
Reaping the Benefits of Having a Data Backup and Recovery Plan
In today’s data-driven economy, any business needs to make sure that their data is easily recoverable and secured in an emergency. The National Archives and Records...
Reengineer Business Decisions Granularly with Automated Data Collection
Businesses, whether big or small, know that understanding data is essential to making informed decisions that impact the organization’s bottom line. ...
15 Data Issues and How to Fix Them – Second Part
In the first part here, I discussed missing, outdated and unobserved data, data that is costly to produce, as well as dirty, unbalanced and unstructured data. This second...