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build a successful self service business intelligence
Article

3 Tips to Build a Successful Self-Service Business Intelligence (BI)

In this age of information overload, we’ve become accustomed to having the answers to all our questions at our fingertips. Enabling your staff with the information they need means building a successful self-service analytics platform to help make better business decisions.
Category: Data Science
Data Scientist Presenting Insights to Team
Article

Data Analytics vs. Data Mining: What's the Difference?

Both data analytics and data mining are important skills for any data scientist to master. When deciding which approach to use, it's important to consider the specific problem you're trying to solve and the type of data you have available.
Category: Data Science
Businesswoman networking using digital devices
Article

5 Common Misconceptions About Data Maturity

Companies that don’t utilize data lean heavily on intuition and industry experience when making business decisions. Data-driven companies are different.
Category: Data Science
The Power of Data Storytelling for Business
Article

The Power of Data Storytelling for Business Impact

In a world where data is increasingly becoming more accessible, it is more important than ever for businesses to learn how to leverage data to their advantage. 
Category: Data Science
paperwork and reports on 80/20 rule in data
Article

Overcoming the 80/20 Rule in Data Science

Data practitioners spend 80% of their valuable time finding, cleaning, and organizing the data, leaving only 20% to actually perform analysis on it. More often than not, data scientists spend hours preparing and cleaning the data to produce a report for stakeholders, only to find out they were looking for something else or didn’t understand the analysis enough to act on it.
Category: Data Science
Balancing Profits and Ethics
Article

A Conversation on Ethical Use of Data in Business

It’s vital for organizations to be open and transparent and spend time discussing ethics within the business.
Category: Data Science

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