• 2014 June 20

Company Description

Datumize Data Collector technology helps companies to Capture, Unlock, and unleash Dark Data for actionable Results

§ We live in a complex digital world full of data. Everyday in the world, airlines get +30 B availability inquiries, logistic warehouses generate +2,3B movements, +15 M ballpoints are sold in stationaries, and +10 M toxicology samples are processed. But none of these data are used for decision making – these are Dark Data, data that exist but are not used for decision making, due to cost of acquisition, technical complexity, and risk to current mission critical systems. Dark Data represent +65% of all existing data in a company. § Dark Data usually remain dark because they are very hard to retrieve Both Enterprise Systems and the Internet of Things contain huge amounts of Dark Data. Temporary data exchange in a datacenter (flight availability transactions across multiple selling channels like web services, mobile, and call center) and closed/proprietary machine data (toxicology analytical results, or WiFi infrastructure, or Point of Sale systems) are huge dark data sources. However, those sources are not easy accessible for analytics while remain critical part of the business. Enterprise systems do not record all transactions, specially inquiries (“read only” traffic), and machines are designed to be closed/proprietary for vendor lock-in. § Finding Lost Revenue, Operational Efficiencies, and New Business Models. Exploiting Dark Data allows discovering Lost Sales opportunities across multiple selling channels, improve operational efficiency based on location of employees and clients, or unleash new business data-driven models. Datumize customers report 3-5% revenue increase and +20% SLA improvement in Travel, 90% accurate productivity metrics in logistic warehouses at a fraction of the cost of other Location-based systems, and a new $100M toxicology business made feasible. Datumize software technology “fracks” dark data sources and retrieves business and technical metrics that are used to feed enterprise analytical systems and make better decisions.