Asian Surveying & Mapping
Breaking News
Launch of Australia’s 1st orbital rocket, Gilmour Space’s Eris-1, delayed again
Update for 6:15 p.m. ET on July 1: Gilmour Space...
SAASST, UAE Space Agency strengthen scientific partnership
SHARJAH- Prof. Hamid M.K. Al Naimiy, Director of the...
Shubhanshu Shukla to speak to students and ISRO scientists this Friday
Indian astronaut Shubhanshu Shukla will interact with school students...
ISRO hands over 10 advanced technologies to Indian firms in major push for space commercialisation
The Indian Space Research Organisation (ISRO) has transferred ten...
DIGIPIN Launched: India Embraces Geospatial Precision in Digital Addressing
IIT Hyderabad (IITH), in partnership with the Department of...
HAL to build, market Isro’s SSLV in landmark deal
New Delhi, Jun 20: In a historic move for...
Taiwan developing space capabilities for all-weather imaging
TAIPEI (TVBS News) — Taiwan is advancing its space...
Honda hails successful test of reusable rocket as it looks to get into the space business
Tokyo — Japan's second-biggest carmaker, Honda, has successfully tested...
China’s space program provides larger platform for broader international cooperation
BEIJING -- Experts from China's manned space program said...
India To Launch $1.5 Billion Joint Earth Mission With NASA In July
National Aeronautics and Space Administration (NASA) and the Indian...

March 3rd, 2021
dataPlor launches LATAM regional SMB dataset with over five million verified records

Using a novel approach to data gathering and validation–including AI bot calling and human-powered quality assurance–dataPlor expands its delivery of rich datasets to meet the commercial data needs of global enterprises.

“Business datasets in emerging markets are notoriously inaccurate and incomplete,” shared Geoffrey Michener, CEO, dataPlor. “Yet this data powers everyday consumer experiences, like map and ride-sharing apps, as well as expansion strategies for multinational corporations.”

Emerging markets are home to 400 million small businesses; over 10x the size of the US SMB market. However, because building and sustaining robust datasets in these markets is difficult, few data companies maintain offerings. Those that do exist are error-prone and incomplete. Publicly available data fares worse as record keeping is stymied by outdated techniques, bureaucracy, and limited funding.

Michener noted how demand is surging for multi-country, regional datasets as companies seek to capitalize on burgeoning emerging market economies, growing consumer classes, and widely-available broadband and mobile technology. Notably, by 2025, the geospatial data market is expected to surpass $90 billion.

“Our Mexico dataset is licensed to some of the largest companies in the world and across multiple industries. We also recognize that enterprises are eager for more. While single market access is nice, pan-regional datasets are ideal to fit land-and-expand product and service models,” shared Michener.

As dataPlor expands the breadth and depth of its dataset offerings, new enterprise use cases emerge. The company sees strong demand from a variety of service providers from insurance and financial enterprises to ecommerce, mapping, and GIS companies.

“Rich, reliable data is a competitive advantage,” shares Aldo Bucio, Head of LATAM and APAC for dataPlor. “Companies need wide-reaching regional data for everything from underwriting and risk assessment, to firmographic sales insights.”

dataPlor is actively generating new datasets for other global markets and expects to announce additional regional product availability in Q2 2021.

About dataPlor

dataPlor helps companies succeed in emerging markets by delivering high quality business and POI datasets. Using a proprietary platform featuring AI-automation and human-driven quality assurance, dataPlor delivers licensable datasets for hard-to-reach global markets. The company is backed by leading investors including Quest Venture Partners, ffVC, and Space Capital.

To join other Fortune 100 companies licensing dataPlor data in Mexico, Brazil and beyond, visit http://www.dataplor.com.