DataRobot Case Studies Snowflake + DataRobot Unlock the Value of Data at Beacon Street Services

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	Snowflake + DataRobot Unlock the Value of Data at Beacon Street Services DataRobot

Snowflake + DataRobot Unlock the Value of Data at Beacon Street Services

DataRobot

Technology Category	Analytics & Modeling - Predictive Analytics Platform as a Service (PaaS) - Data Management Platforms
Applicable Industries	Finance & Insurance
Applicable Functions	Sales & Marketing
Use Cases	Predictive Replenishment
Services	Data Science Services
Challenge	Beacon Street Services, the services division of Stansberry Holdings, provides subscription-based publications of financial information and software to millions of investors globally. The company had a vision to have one single source of truth for all of its data, housed within Snowflake, to ensure consistency and accuracy across all applications of that data. Having migrated from AWS Redshift to Snowflake several years ago, the company had collected and stored great volumes of data within Snowflake. However, the company realized there was value to applying a data science approach to this data, especially for its marketing and sales teams. There was an opportunity to improve on previous tactics and processes of selling subscriptions, with a clearer feedback loop and signal for marketers to optimize their campaigns. Read More
About Customer	Beacon Street Services is the services division of Stansberry Holdings, providing best-in-class subscription-based publications of financial information and software to millions of investors globally. The company is based in Baltimore, Maryland. Beacon Street Services is the services arm (and one of a handful of affiliates) of Stansberry Holdings, and they produce financial publications that are exclusively available through purchased subscriptions. For its marketing and sales teams, there was an opportunity to improve on previous tactics and processes of selling subscriptions, with a clearer feedback loop and signal for marketers to optimize their campaigns. Read More
Solution	The company decided to use DataRobot’s enterprise AI platform to build a series of models quickly and automatically, using dozens of the latest cutting-edge data science algorithms. The historical user data they had in their Snowflake data warehouse was loaded into DataRobot, and the team was able to build a series of models quickly and automatically. Running an A/B test between their existing process and the new Snowflake + DataRobot methodology saw the new process gain a 10% lift. The platform also provided a significant time savings for the team. Previously, it would take as long as six weeks to develop a model, with no guarantees that the optimal algorithm was selected. With DataRobot, that time to develop and deploy models that used more appropriate algorithms had been reduced to just one week. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Predictive Analytics

Platform as a Service (PaaS) - Data Management Platforms

Applicable Industries

Finance & Insurance

Applicable Functions

Sales & Marketing

Use Cases

Predictive Replenishment

Services

Data Science Services

Challenge

Beacon Street Services, the services division of Stansberry Holdings, provides subscription-based publications of financial information and software to millions of investors globally. The company had a vision to have one single source of truth for all of its data, housed within Snowflake, to ensure consistency and accuracy across all applications of that data. Having migrated from AWS Redshift to Snowflake several years ago, the company had collected and stored great volumes of data within Snowflake. However, the company realized there was value to applying a data science approach to this data, especially for its marketing and sales teams. There was an opportunity to improve on previous tactics and processes of selling subscriptions, with a clearer feedback loop and signal for marketers to optimize their campaigns.

About Customer

Beacon Street Services is the services division of Stansberry Holdings, providing best-in-class subscription-based publications of financial information and software to millions of investors globally. The company is based in Baltimore, Maryland. Beacon Street Services is the services arm (and one of a handful of affiliates) of Stansberry Holdings, and they produce financial publications that are exclusively available through purchased subscriptions. For its marketing and sales teams, there was an opportunity to improve on previous tactics and processes of selling subscriptions, with a clearer feedback loop and signal for marketers to optimize their campaigns.

Solution

The company decided to use DataRobot’s enterprise AI platform to build a series of models quickly and automatically, using dozens of the latest cutting-edge data science algorithms. The historical user data they had in their Snowflake data warehouse was loaded into DataRobot, and the team was able to build a series of models quickly and automatically. Running an A/B test between their existing process and the new Snowflake + DataRobot methodology saw the new process gain a 10% lift. The platform also provided a significant time savings for the team. Previously, it would take as long as six weeks to develop a model, with no guarantees that the optimal algorithm was selected. With DataRobot, that time to develop and deploy models that used more appropriate algorithms had been reduced to just one week.

Impact #1	The new Snowflake + DataRobot methodology saw a 10% lift in the company's marketing campaigns.
Impact #2	The time to develop and deploy models that used more appropriate algorithms had been reduced to just one week, from the previous six weeks.
Impact #3	The predictions data is written back into Snowflake and, shortly thereafter, is visualized and accessible to the sales and marketing teams for insight consumption.

Impact #1

The new Snowflake + DataRobot methodology saw a 10% lift in the company's marketing campaigns.

Impact #2

The time to develop and deploy models that used more appropriate algorithms had been reduced to just one week, from the previous six weeks.

Impact #3

The predictions data is written back into Snowflake and, shortly thereafter, is visualized and accessible to the sales and marketing teams for insight consumption.

Benefit #1	Beacon Street Services is seeing close to $3 million in additional sales directly attributable to DataRobot.
Benefit #2	The new process gain a 10% lift in the company's marketing campaigns.
Benefit #3	The time to develop and deploy models that used more appropriate algorithms had been reduced to just one week, from the previous six weeks.

Benefit #1

Beacon Street Services is seeing close to $3 million in additional sales directly attributable to DataRobot.

Benefit #2

The new process gain a 10% lift in the company's marketing campaigns.

Benefit #3

The time to develop and deploy models that used more appropriate algorithms had been reduced to just one week, from the previous six weeks.

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Overview

Snowflake + DataRobot Unlock the Value of Data at Beacon Street Services

Operational Impact

Quantitative Benefit