DataRobot Case Studies Democratizing Data Science at DemystData

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	Democratizing Data Science at DemystData DataRobot

Democratizing Data Science at DemystData

DataRobot

Technology Category	Analytics & Modeling - Machine Learning Analytics & Modeling - Data-as-a-Service
Applicable Industries	Finance & Insurance
Applicable Functions	Business Operation
Use Cases	Predictive Quality Analytics Demand Planning & Forecasting
Services	Data Science Services
Challenge	DemystData, a New York-based software company, aims to 'demystify' data by providing a platform that helps clients discover, explore, and access the vast world of data. However, as datasets get larger and data sources more varied, the complexity increases, leading to more time-consuming work for the company's limited pool of data science resources. The company's clients, particularly financial institutions, are underutilizing data, leading to business decisions being made based on suboptimal or incomplete information. DemystData aims to close this gap by increasing their clients' access to new and more data. Read More
About Customer	DemystData is a New York-based software company that provides a platform to help clients discover, explore, and access the vast world of data. The company's clients are primarily financial institutions, including legacy big banks, which are underutilizing data, leading to business decisions being made based on suboptimal or incomplete information. DemystData aims to close this gap by increasing their clients' access to new and more data. However, as datasets get larger and data sources more varied, the complexity increases, leading to more time-consuming work for the company's limited pool of data science resources. Read More
Solution	DataRobot's automated machine learning platform was introduced to improve DemystData's model quality and overall data science productivity. The platform generates dozens of algorithmic-agnostic models in minutes, allowing DemystData to focus on their core competency of helping clients find more data and identify more signal. DataRobot also democratized data science across the entire organization. By automating many of the previously manual and time-consuming steps of the machine learning lifecycle, DataRobot improved not only the quality of their models but also their overall data science productivity. The platform's simplicity and ease-of-use enabled even non-technical employees to contribute to machine learning projects. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Machine Learning

Analytics & Modeling - Data-as-a-Service

Applicable Industries

Finance & Insurance

Applicable Functions

Business Operation

Use Cases

Predictive Quality Analytics

Demand Planning & Forecasting

Services

Data Science Services

Challenge

DemystData, a New York-based software company, aims to 'demystify' data by providing a platform that helps clients discover, explore, and access the vast world of data. However, as datasets get larger and data sources more varied, the complexity increases, leading to more time-consuming work for the company's limited pool of data science resources. The company's clients, particularly financial institutions, are underutilizing data, leading to business decisions being made based on suboptimal or incomplete information. DemystData aims to close this gap by increasing their clients' access to new and more data.

About Customer

DemystData is a New York-based software company that provides a platform to help clients discover, explore, and access the vast world of data. The company's clients are primarily financial institutions, including legacy big banks, which are underutilizing data, leading to business decisions being made based on suboptimal or incomplete information. DemystData aims to close this gap by increasing their clients' access to new and more data. However, as datasets get larger and data sources more varied, the complexity increases, leading to more time-consuming work for the company's limited pool of data science resources.

Solution

DataRobot's automated machine learning platform was introduced to improve DemystData's model quality and overall data science productivity. The platform generates dozens of algorithmic-agnostic models in minutes, allowing DemystData to focus on their core competency of helping clients find more data and identify more signal. DataRobot also democratized data science across the entire organization. By automating many of the previously manual and time-consuming steps of the machine learning lifecycle, DataRobot improved not only the quality of their models but also their overall data science productivity. The platform's simplicity and ease-of-use enabled even non-technical employees to contribute to machine learning projects.

Impact #1	DataRobot's automated machine learning platform improved DemystData's model quality and overall data science productivity.
Impact #2	The platform's simplicity and ease-of-use enabled even non-technical employees to contribute to machine learning projects.
Impact #3	DataRobot fundamentally changed how DemystData approached hiring and growing their team. Instead of hiring generalist data scientists, they could now focus on hiring for very specific capabilities.

Impact #1

DataRobot's automated machine learning platform improved DemystData's model quality and overall data science productivity.

Impact #2

The platform's simplicity and ease-of-use enabled even non-technical employees to contribute to machine learning projects.

Impact #3

DataRobot fundamentally changed how DemystData approached hiring and growing their team. Instead of hiring generalist data scientists, they could now focus on hiring for very specific capabilities.

Benefit #1	DemystData used to struggle to get by with 2 or 3 data scientists, working at one tenth the efficiency and 10 times the cost of DataRobot.
Benefit #2	With DataRobot, DemystData could iterate through hundreds of models far better and faster than they ever could.
Benefit #3	DataRobot played a significant role in bringing the whole organization together and getting non-technical employees informed and aligned with the company’s data science mission and technology.

Benefit #1

DemystData used to struggle to get by with 2 or 3 data scientists, working at one tenth the efficiency and 10 times the cost of DataRobot.

Benefit #2

With DataRobot, DemystData could iterate through hundreds of models far better and faster than they ever could.

Benefit #3

DataRobot played a significant role in bringing the whole organization together and getting non-technical employees informed and aligned with the company’s data science mission and technology.

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Overview

Democratizing Data Science at DemystData

Operational Impact

Quantitative Benefit