Datagran

How Starbucks Analyzes Data

Company Information

Website:

https://www.datagran.io/

Sector:

Application & Data Integration Software

Location:

San Francisco, CA

How do companies like Starbucks, Domino’s, and Subway analyze data?

They use Datagran.

This company’s patent-pending software helps users democratize data, build Machine Learning applications, and more quickly convert the information they receive into action.

More than 3,000 customers use Datagran’s software. And the company has raised $4.5 million from notable investors including Quake Capital, Beresford Partners, and executives from Uber and Bain & Company.

Datagran was created because of a simple fact: 85% of “big data” projects fail.

Putting Machine Learning models into production is one of the most difficult tasks in data science. It involves managing large quantities of information, and stitching together multiple services that require different specialization.

In the past, companies like Starbucks used customer information to help make decisions. But the process was convoluted:

Gather customer/behavioral data using one tool, upload data using another tool, analyze it using another, use a fourth to predict models, and finally a fifth to take action.

Now Starbucks and thousands of other clients just use Datagran.

Datagran’s software builds workflows and puts them into production. Its benefits include:

• Organization: Use Datagran to create data projects around teams, and give access to people who need it. Avoid having to download data every time you have a new team member or project goal.

• Connectivity: Datagran integrates with an extensive suite of data sources, guaranteeing enterprise-grade security.

• Holistic View: Its software enables the creation of visual dashboards and data boards. Users can collaborate with each other using a “notes” function.

• Real-Time Data: Datagran offers real-time data in visually-friendly table, pie, or bar chart formats.

• Ease of Use: With Datagran, users can conceptualize and run Machine Learning algorithms without writing a single line of code.

Said Matt Martin, Director of Business Analytics at GoDaddy, “Datagran’s product is so timely. Our unit has a ton of models but there’s just too many pain points to operationalize them.”

And Chris Sanborn, Chief Operating Officer at HFactor Water, said of Datagran, “We spent three months trying to set up an analytics platform that could integrate from multiple data sources. Datagran did it in under 15 minutes.”

Datagran is targeting the global Artificial Intelligence market, projected to reach $266 billion by 2027.

Most companies in its sector focus on data modeling, whereas Datagran focuses on data operations, also known as “DataOps.” There are no other companies that handle end-to-end Machine Learning workflows.

Interestingly, Datagran refers to itself as the “Zapier.com for ML.” Zapier is a product that enables users to integrate web applications and automate workflows. In 2021, this company achieved a $5 billion valuation.

To use Datagran, clients sign up for a free version to test the product. As they dive deeper, they must upgrade to paid tiers.

Pricing is based on three main variables: number of data rows, users, and machine time. With respect to sales, if Datagran identifies that a free user should be an enterprise client, it will contact them and walk them through the onboarding process. Minimum enterprise pricing is $1,500 per month.

Team Background

Necati Demir - Co-Founder & CTO

Necati has been a software developer for more than 15 years, with a focus on Machine Learning.

He began his career with Labris, a computer and network security company. He then worked as a freelance software developer before joining VAS Telekom, a telecommunications business.

More recently, he was a consultant with Ericsson, an IT services company, before spending a year as a Machine Learning consultant.

Necati holds a Bachelor’s degree in Computer Science and a Ph.D. in Machine Learning.

Carlos Mendez - Co-Founder & CEO

Carlos began his career in the advertising industry, working at Leo Burnett Chicago, a global ad agency. From there, he was a planning director with J. Walter Thompson, another advertising agency. While there, he managed brands including Ford Motor Company.

After earning his MBA, he then founded Gran Comunicaciones, one of the top digital and web development companies in South America. He used this role as inspiration to start Datagran.

In addition to his MBA, Carlos holds a Master’s degree in Software Engineering from Harvard.

Co-Investors

Quake Capital Partners

A venture capital group and startup accelerator investing in seed-stage companies.

Raising
$1.07 million
Committed
$59.8K (6%)
Current Valuation
$27 million Cap / 0% Discount
Min. Investment
$100
Deal Type
Title III
(For all investors)
Offering Type
SAFE
Finance History
  • $1.2 million
    2018-01-10
    Quake Capital Partners
  • $2.3 million
    2018-04-01
    Unknown
Notable Investors
  • Quake Capital Partners
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