Become a Data Science Superhero

The heroes of NECCO unite to come to the rescue of foster families across four states

Become a Data Science Superhero!
DataRobot

Get the guide to "Moving from BI to Machine Learning with Automation"

Download free ebook
DataRobot

See how other data science superheroes acquired their powers

View On-Demand Webinar
DataRobot

Take the first step toward becoming a Data Science Superhero

Sign up for a live demo

NECCO is a Team of Social Entrepreneurs relentlessly applying business principles to solve social problems.

Become a Data Science Superhero!

For 20 years and counting NECCO has built over 25,000 families and supported over 5,000 adoptions with one mission in mind: building families. To that end, NECCO decided to strategically focus on gathering and analyzing data. This data analysis, supported by evidence-based research, improves the placement of foster children as well as the recruitment, training, and retention of foster parents. By employing a strategy of “Measure, Learn, Execute, and Repeat,” NECCO has remained laser-focused on achieving the best possible outcome for children and families.

The lack of caring foster families, amplified by the national health emergency opioid epidemic, has created a widening gap between the number of children in need and the availability of safe, caring foster homes.

NECCO jumped at the opportunity to use their data superpowers to help.

Become a Data Science Superhero!

NECCO listened to their data analysis and knew they would be able to better combat the increasing deficit between children in need and available homes. Even considering their experience using data to produce measurable results, the NECCO team found ways to:

  • — Use predictive analysis to solve social problems
  • — Locate and understand the insights and actions hidden in their data
  • — Educate the whole organization on using those insights
  • — Move forward without an on-staff data scientist

NECCO realized they did not possess the machine learning prowess necessary to use predictive analytics to improve their recruitment of foster homes for the thousands of children in need.



Realizing that machine learning education was was the way forward, NECCO activated the DataRobot signal.

Become a Data Science Superhero!

Considering NECCO’s relatively small analytics team and lack of on-staff data scientists, DataRobot University (DRU) was a clear path forward for NECCO to learn how to mine their data to further improve recruitment, training, and retention of foster homes.

DataRobot University was perfect for NECCO because there is no prior data science experience necessary. The courses are designed to teach practical applications of predictive analytics to organizations like NECCO that are interested in leveraging the power of data science and developing the capabilities to build models that will help them fulfill their mission.

After attending DRU, JP from NECCO was ready to take full advantage of the DataRobot platform and start building their own solutions.

Become a Data Science Superhero!

With DataRobot at their disposal, NECCO advanced their data visualization capabilities to building their own highly accurate predictive models on the DataRobot Cloud platform powered by Amazon Web Services. Equipped with the necessary knowledge and skills, NECCO was able to create models that provide better insights into the characteristics of what makes a quality foster home.

Without altering NECCO’s organizational DNA, DataRobot has already assisted them in achieving superhuman results:

  • Successful recruitment 38% more caring, long-term foster homes from 2016 to 2017
  • Quick development of their first predictive models to find the right homes for foster children
  • Creation of a League of Citizen Data Scientists that can do the work of a trained legion of professionals stuck using traditional methods
Data Science Superhero vs Mortal
Data Science Superhero vs Mortal
Traits & Capabilities
Traits & Capabilities Data Scientist Mortal Data Scientist Superhero
Enterprise Readiness
Bottom Line Business Impact
Bottom Line Business Impact $100K+ per year $M's+ / Year
Model Engine Tested
Model Engine Tested No 200,000,000+ times
Model Sharing
Model Sharing No Yes
Enterprise Readiness
Enterprise Readiness Manual Automatic
Security
Security Manual Automatic
Standardization
Standardization When there's time Every time
Multitasking
Multitasking Single model Multiple models
Package installation and dependency management
Package installation and dependency management Manual Not needed
Risk of coding errors
Risk of coding errors Substantial None
Model Accessibility
Popularity with business users
Popularity with business users
 Somewhat Very
Business user engagement
Business user engagement
 Too busy Always available


Helped with guardrails
Helped with guardrails None Yes
Skills Needed
Skills Needed Significant - PhD-level
 PhD not required
Model Operationalizing
Model deployment effort
Model deployment effort Significant Effortless
Model Quality
Model iteration
Model iteration
 Manual & slow Automated
Accuracy
Accuracy Time consuming Guaranteed
Helped by other Data Scientists
Helped by other Data Scientists No 85+
Workflow
Workflow Manual Automatic
Tuning
Tuning Manual Automatic
Ensembled models
Ensembled models Manual Automatic
Algorithms and libraries
Algorithms and libraries A comfortable few Many
Feature engineering
Feature engineering
 Manual Automatic

Model Quantity
Number of models / month
Number of models / month
 Very Few
 Thousands
Speed
Speed Sometimes Blisteringly Fast
Model Transparency
Model Transparency
Model Transparency None X-Ray Vision
Explainable Models
Explainable Models
 'Black Box'
 Automatic

To be continued…

This is not the end of the alliance between NECCO and DataRobot. Although NECCO already sees a noticeable increase in its success rate, they plan to use DataRobot to further analyze their historical and future data to continuously learn and improve. Additionally, now that they are familiar with the powers of DataRobot, they plan to use the platform to help even more families by increasing success rates and predicting what types of support will be most effective for each individual child and family.

“There is such a large gap between the number of children that need caring homes and the number of available families. DataRobot gives us the ability to use the data at our disposal to close that gap, which will build families better.”

JP Montgomery

JP Montgomery

NECCO’s Data Champion

Become a Data Science Superhero!

DataRobot

Get the guide to "Moving from BI to Machine Learning with Automation"

Download free ebook
DataRobot

See how other data science superheroes acquired their powers

View On-Demand Webinar
DataRobot

Take the first step toward becoming a Data Science Superhero

Sign up for a live demo