By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData Collective
  • Analytics
    AnalyticsShow More
    data analytics in sports industry
    Here’s How Data Analytics In Sports Is Changing The Game
    6 Min Read
    data analytics on nursing career
    Advances in Data Analytics Are Rapidly Transforming Nursing
    8 Min Read
    data analytics reveals the benefits of MBA
    Data Analytics Technology Proves Benefits of an MBA
    9 Min Read
    data-driven image seo
    Data Analytics Helps Marketers Substantially Boost Image SEO
    8 Min Read
    construction analytics
    5 Benefits of Analytics to Manage Commercial Construction
    5 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-23 SmartData Collective. All Rights Reserved.
Reading: DataKind + TeraData = A Perfect Data-Do-Good Partnership
Share
Notification Show More
Latest News
data analytics in sports industry
Here’s How Data Analytics In Sports Is Changing The Game
Big Data
data analytics on nursing career
Advances in Data Analytics Are Rapidly Transforming Nursing
Analytics
data analytics reveals the benefits of MBA
Data Analytics Technology Proves Benefits of an MBA
Analytics
anti-spoofing tips
Anti-Spoofing is Crucial for Data-Driven Businesses
Security
ai in software development
3 AI-Based Strategies to Develop Software in Uncertain Times
Software
Aa
SmartData Collective
Aa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Data Management > Culture/Leadership > DataKind + TeraData = A Perfect Data-Do-Good Partnership
Big DataCollaborative DataCulture/Leadership

DataKind + TeraData = A Perfect Data-Do-Good Partnership

BigDataGal
Last updated: 2014/11/11 at 9:00 AM
BigDataGal
4 Min Read
data science
SHARE

data science

Contents
iCouldBe: The metrics of mentoringCultural Data Project: helping the arts succeed

data science

Just as data science is applied to drive major success in business, it’s also being applied to improve or resolve major social issues. That’s the mission and focus of DataKind, a non-profit that organizes data science volunteers, so that they can lend expertise to social organizations, civic groups, and non-governmental organizations as part of efforts to create a better, data-driven future for all humanity. With six chapters on three continents, DataKind has been doing lots of good for lots of people.

You may be familiar with the business intelligence company, Teradata. Well, what you might not have known is that Teradata also has a volunteer program of its own, called Teradata Cares. Teradata Cares recently partnered with DataKind to kick off Teradata’s annual conference that was held in Nashville, Tennessee from October 19th to 23rd, 2014. As part of this partnership, the two days before the conference were dedicated to hosting a DataDive (or, a volunteer work session between DataKind and Teradata Cares volunteers) to help projects by iCouldBe, the Cultural Data Project, HURIDOCS, and GlobalGiving. As part of a small Data-Mania blog series featuring this work, today’s post covers the work that was done for iCouldBe and Cultural Data Project.

More Read

data analytics in sports industry

Here’s How Data Analytics In Sports Is Changing The Game

Advances in Data Analytics Are Rapidly Transforming Nursing
Data Analytics Helps Marketers Substantially Boost Image SEO
Data Visualization Boosts Business Scalability with Sales Mapping
Data-Driven Marketing Offers Huge Benefits for Landscapers

iCouldBe: The metrics of mentoring

iCouldBe is a non-profit organization that acts as an online mentoring program to e-mentor at-risk youth students, in order to help them stay in school and succeed in their coursework. Since the year 2000, they’ve successfully helped over 19,000 young people, while at the same time collecting a large dataset of student-mentor interactions. People at iCouldBe were wondering if they could use this data to predict whether a student-mentor relationship would be successful so that they could use this information to adjust their curriculum and/or train mentors to better help and keep students.

The first, vital task was to define a metric for success; After looking at the data, DataDive volunteers determined that the criteria for success should be set as the successful completion of three learning modules in three months. When volunteers analyzed student-mentor interactions, they found that the more verbose the mentor was, the more likely the student was to leave the program. In other words, mentors need to keep it simple. By contrast, mentors who used encouraging, supportive phrases were more likely to receive back appreciative and positive student responses. This information has provided the organization a data-driven framework to ensure they help even more students, and a programming infrastructure to analyze future student-mentor interactions.

Cultural Data Project: helping the arts succeed

The Cultural Data Project collects and distributes data about more than 11,000 American arts and culture organizations. In this portion of the DataDive event, volunteers were asked to analyze the arts and culture data to determine what factors make for project success. The team used machine learning techniques to cluster the organizations based on factors like size, number of funding streams, and interest area. Volunteers then identified what clusters were more financially successful, and developed a taxonomy to allow arts and cultural organizations to determine in what part of the model they fit. Interestingly, volunteers found that the cluster with the least chance of financial success was also the hardest cluster to describe in a simple taxonomy – but more investigation is needed to determine whether the commonalities between organizations in this cluster are related to the overall financial underperformance of the cluster at-large.

BigDataGal November 11, 2014
Share this Article
Facebook Twitter Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

data analytics in sports industry
Here’s How Data Analytics In Sports Is Changing The Game
Big Data
data analytics on nursing career
Advances in Data Analytics Are Rapidly Transforming Nursing
Analytics
data analytics reveals the benefits of MBA
Data Analytics Technology Proves Benefits of an MBA
Analytics
anti-spoofing tips
Anti-Spoofing is Crucial for Data-Driven Businesses
Security

Stay Connected

1.2k Followers Like
33.7k Followers Follow
222 Followers Pin

You Might also Like

data analytics in sports industry
Big Data

Here’s How Data Analytics In Sports Is Changing The Game

6 Min Read
data analytics on nursing career
Analytics

Advances in Data Analytics Are Rapidly Transforming Nursing

8 Min Read
data-driven image seo
Analytics

Data Analytics Helps Marketers Substantially Boost Image SEO

8 Min Read
data visualization for small business
Data Visualization

Data Visualization Boosts Business Scalability with Sales Mapping

7 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

AI chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots
AI and chatbots
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive

Quick Link

  • About
  • Contact
  • Privacy
Follow US

© 2008-23 SmartData Collective. All Rights Reserved.

Removed from reading list

Undo
Go to mobile version
Welcome Back!

Sign in to your account

Lost your password?