
Big Data for Humans
Automated customer data science platform for retail/travel.
Date | Investors | Amount | Round |
---|---|---|---|
- | investor investor investor | €0.0 | round |
N/A | €0.0 | round | |
investor investor investor | €0.0 | round | |
$2.0m | Convertible | ||
Total Funding | 000k |
USD | 2021 | 2022 | 2023 |
---|---|---|---|
Revenues | 0000 | 0000 | 0000 |
% growth | - | - | (25 %) |
EBITDA | 0000 | 0000 | 0000 |
Profit | 0000 | 0000 | 0000 |
EV | 0000 | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x | 00.0x |
R&D budget | 0000 | 0000 | 0000 |
Source: Dealroom estimates
Related Content
Big Data for Humans was a London-based company that provided a data science and customer analytics platform specifically for the retail and travel industries. Founded in 2014 by Peter Ellen and Steven Rose, the firm aimed to automate the analysis of customer data to deliver actionable insights for marketing programs.
The company's core offering was a Data Science-as-a-Service platform. This technology was designed to process large volumes of customer information to identify patterns and opportunities, which business users could then leverage for targeted marketing campaigns without needing a dedicated data science team. The platform visualized customer insights and generated action plans to help clients tailor communications and promotions, with the goal of increasing sales and bookings from their core customer groups. The business model focused on enabling retail and travel companies to better understand their customers and drive higher returns.
Over its active years, Big Data for Humans raised a total of $1.32 million in funding over three rounds, with its final seed round occurring in September 2015. However, the company is no longer active and is considered deadpooled, having entered bankruptcy administration in March 2019.
Keywords: customer insights, data science automation, retail analytics, travel analytics, customer marketing, data analytics platform, targeted marketing, customer segmentation, data visualization, marketing automation, business intelligence, Peter Ellen, Steven Rose, London startup, big data analytics