hfng - Fotolia
Finding valuable insights hidden in your company's data can take very deep analysis. That's where data science techniques and tools come in.
Especially in a big data environment, instituting an effective data science strategy enables you make the most of the available data to help your organization optimize business processes, boost revenue and gain a competitive edge on business rivals. That's accomplished through predictive analytics, data mining and machine learning applications designed to identify patterns, trends and relationships in large data sets.
However, creating a data science program isn't easy. Data science teams have to be able to integrate with business units while doing informative and relevant data analysis work that doesn't bog them down in basic querying and reporting tasks.
Do you have the know-how required to implement a successful data science process in your organization? Take this quiz to find out. You'll also get references to additional articles to help round out your knowledge of data science techniques and best practices.
Learn more about how to get business value from data science projects
Listen to this podcast about integrating data engineers and data scientists
How to choose the best candidates for your data science team