Product Data Lake

Let product data flow easily between trading partners

General Information
Company Name
Product Data Lake
Founded Year
2016
Location (Offices)
Denmark +1
Founders / Decision Makers
Number of Employees
3
Industries
Analytics, Big Data, Data Analytics +1
Funding Stage
-
Social Media

Product Data Lake - Company Profile

is a cloud service for sharing product information (product data syndication) in the business ecosystems of manufacturers, distributors, wholesalers, merchants, marketplaces, and large end users of product information. The emphasis on sustainability via sharing of ESG product data sets it apart. As a manufacturer of goods and brand owner or distributor, the service aims to streamline the process of providing product information to re-sellers, minimizing errors, automating processes, and improving ease of doing business. Similarly, for wholesalers, merchants, dealers, and retailers, the platform offers complete product information, aiding in making buying decisions and managing a broader product range, thereby enhancing their online market share. Additionally, for Product Information Management (PIM) professionals, service providers, or tool vendors, it offers the opportunity to extend their services and support clients in successful PIM adoption. As the company operates in the realms of Analytics, Big Data, Data Analytics, and Information Technology, its ongoing roadmap focuses on emerging technologies such as big data approaches, (Industrial) Internet of Things (Industry 4.0/IIoT/IoT), Machine Learning, and Artificial Intelligence. With a vision to become the process-driven key service for exchanging product information worldwide, aims to optimize the self-service purchase of every kind of product. The mission revolves around enabling automated cross-company data supply chains for product data, utilizing technology capable of handling large volumes of product data and related digital assets with the required velocity for evolving business environments while encompassing international, national, industry, and other standards for product information. Having been founded in 2016, the startup is yet to disclose its last investment and investors.

Taxonomy: Product Data Management, Data Syndication, E-commerce Solutions, ESG Data, Digital Transformation, Big Data Solutions, Data Quality, IoT Solutions, Data Monetization, Industry 4.0, Data Sharing, Business Ecosystems

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