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AnalyticsWeek: Release of Data Skills Scoring System (DS3) Enterprise Edition & Training Edition
  • USA - English


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Analyticsweek

Sep 30, 2015, 11:00 ET

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Data Skills Scoring System Survey
Data Skills Scoring System Survey

Boston, MA (PRWEB) September 30, 2015 -- AnalyticsWeek released its much awaited DS3 (Data Skills Scoring System) framework (http://ds3.analyticsweek.com/) to create a credit score like system to monitor and help evaluate data skills for data science professionals. As an extension to public facing DS3 Survey research, DS3 has 2 core components, mainly DS3 Enterprise Edition that extends the DS3 capabilities into helping businesses identify and improve current skills gap, and DS3 Training Edition to help find ways to carve job roles that will extend the coverage on data science skills.

#DS3 has already helped so many data science professionals identify as well as rectify the skills gap. We are certain that the new #DS3 editions are poised to provide instant kickbacks to businesses who step up to embrace the #DS3’s enhanced capabilities.

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Data Skills Scoring System Enterprise Edition (DS3EE):
Provides much needed enterprise plug between businesses and powerful DS3 system. DS3EE is an easy to use module that talent analytics or talent acquisition teams could use when evaluating the candidate and/or current workforce and learn much more actionable insights that will help businesses take smarter talent decisions. DS3EE is extremely flexible, easy to deploy and adaptable to changing business need. Within short time, businesses could see the impact of DS3EE on their talent decision making. The system is meant to pave ways for smarter recruiting and talent management for businesses.

Data Skills Scoring System Talent Edition (DS3TE):
Provides a great opportunity to talent development teams in understanding skill gaps within their workforce, their teams, and their company. DS3TE could also be a great power tool that could be easily integrated with any training and learning management system to showcase talent development opportunities. DS3TE also provides actionable steps to work with the talent through their journey by providing ways to upgrade their skill set.

Vishal Kumar, CEO @AnalyticsWeek LLC, says, “DS3EE & DS3TE are one of the few most important tools that we want to roll-out at this point. DS3 has already helped so many data science professionals identify as well as rectify the skills gap. We are certain that the new DS3 editions are poised to provide instant kickbacks to businesses who step up to embrace the DS3’s enhanced capabilities".

The whitepaper is publicly available and can be downloaded from the link: https://analyticsweek.com/ds3wp/

About Data Skills Scoring System DS3:
DS3 begins with a web-based self-assessment survey that measures proficiency across five broad data science skills: business, technology, math and modeling, programming and statistics. The DS3 can be completed in less than 5 minutes. Upon completion of the survey, the participants receive immediate feedback regarding their proficiency for each of the five data science skill areas. DS3 proficiency scores range from 0 (Fundamental Awareness) to 100 (Expert). AnalyticsWeek recently published its findings via a white paper, and is publicly available at: https://analyticsweek.com/ds3wp/

DS3 public survey version is available for free to professionals in the data analytics field and can be accessed at:http://pxl.me/awrds3. DS3 Enterprise version is designed to help companies gain deeper insights about their analytics talent needs by identifying their data science strengths and opportunities for improvements in their data science teams. Please contact AnalyticsWeek to learn more about DS3 Enterprise.

About AnalyticsWeek:
AnalyticsWeek is a community of 150+ businesses and 25000+ data science professionals. In support of their mission of bringing "Analytics to the 99%," AnalyticsWeek works with their community members and businesses partners to roll out initiatives to bridge the talent-capability divide.

Vishal Kumar, Analyticsweek, +1 (781) 285-8627, [email protected]

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