The Real Life of a Data Scientist

1 | 2 | 3 | 4 | 5 | 6
Next The Real Life of a Data Scientist-2 Next

Discovery: Acquiring data necessary to complete an analysis task.

Before data scientists start to transform data for analysis, they must first acquire the necessary data. However, they often find that data is distributed across multiple databases, and that their organization lacks documentation or search capabilities, requiring them to rely on database administrators or others for help.   

Learn more:

Businesses Finding Profitable Uses for Open Data, Says Expert

The Best Advice from Big Data 2014 Predictions

In early 2012, a group of Stanford University researchers interviewed 35 data analysts from 25 organizations across a variety of sectors, including health care, retail, marketing and finance, and identified the various challenges data scientists face in the data analysis process.

Despite being in high demand and hailed as one of the hottest professions of the 21st century, much of the work of a data scientist is actually dominated by the incredibly time-consuming process of changing data into a usable form. The data analysis process involves four tasks - discovery, transformation, modeling and reporting – with data scientists spending as much as 60 to 80 percent of their time in the data transformation stage.

In this slideshow, Trifacta, a provider of productivity platforms for data analysis, takes you through each of these tasks in greater detail, highlighting the pain points data scientists face at each stage. It’s clear tools are needed that can simplify the data analysis process while at the same time increasing productivity and collaboration among data scientists.   


Related Topics : Vulnerabilities and Patches, Resellers, Broadcom, Broadband Services, Supercomputing

More Slideshows

Classroom tech Ten New Technologies Transforming the Classroom

Here are 10 ways that college professors are taking advantage of the technology students currently use and adding new technologies to enhance the teaching and learning experiences. ...  More >>

IBM Watson How and Why Companies Are Incorporating the Power of IBM Watson

Watson continuously learns from previous interactions, gaining in value and knowledge over time. Learn how companies are harnessing that AI power to create and improve products and services. ...  More >>

infra100-190x128 Top 10 Strategic Technology Trends for 2017

Here are the top 10 strategic technology trends that will impact most organizations in 2017. Strategic technology trends are defined as those with substantial disruptive potential or those reaching the tipping point over the next five years. ...  More >>

Subscribe Daily Edge Newsletters

Sign up now and get the best business technology insights direct to your inbox.