Data Cleansing

Data cleansing or data cleaning is the process of detecting and correcting (or removing) corrupt or inaccurate records from a record set, table, or database and refers to identifying incomplete, incorrect, inaccurate or irrelevant parts of the data and then replacing, modifying, or deleting the dirty or coarse data.

Data Analysis

Data analysis is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making.

Data mining

Data mining is the process of discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems.

Data Quotes

Data is a key business asset in its own right, and businesses that are guided by data are among the most successful companies in the world. A glance at the 10 most valuable Fortune 500 companies proves this.

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Data Resources

Data Science, Cybersecurity, Data Security, Web Application Security

How to use Artificial Intelligence in Marketing

on October 3, 2019

You can Use the power of artificial intelligence and machine learning to elevate the abilities of your marketing team to a higher level, and start create an impact that promotes engagement and meaningful customer relationships.

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Data Analysis - Analytics

on March 3, 2019

Data analysis is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making.

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Data Cleansing - Data Cleaning

on March 3, 2019

Data Cleansing or data cleaning is the process of detecting and correcting (or removing) corrupt or inaccurate records from a record set, table, or database and refers to identifying incomplete, incorrect, inaccurate or irrelevant parts of the data and then replacing, modifying, or deleting the dirty or coarse data.

Continue reading

Data Mining - Data Discovery

on March 3, 2019

Data mining is the process of discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems.

Continue reading