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The Challenge
Connected devices contain a treasure trove of data. However companies that want to make use of that data to target – or avoid – specific end-users for their products and services do not have the map they need to actually find the treasure. That’s because the data is partial and exists in silos – geo-data, device type, SoMe interests, browsing history, etc. Without detailed analysis and a unified view across these distributed data points, companies are unable to unlock their data’s massive value.
The Markets
Financial Services
Device data analytics can help financial institutions make more informed decisions with regard to fraud detection, credit scoring, and new product or service development.
Telecom
Telecoms collect a massive amount of device data through day-to-day operations. Extracting individual-level insights can enhance customer experience and target new sources of revenue.
Financial Services
Device data analytics can help financial institutions make more informed decisions with regard to fraud detection, credit scoring, and new product or service development.
Telecom
Telecoms collect a massive amount of device data through day-to-day operations. Extracting individual-level insights can enhance customer experience and target new sources of revenue
E-Commerce
In an industry that is all about user experience, device-based data can help brands analyze customer behavior and trends to help strategize ways to improve the on-site experience.
SoMe
On social media platforms where optimized targeting is the key to success, device data insights can help create interest-based profiles that serve as the basis for ads and promotions
E-Commerce
In an industry that is all about user experience, device-based data can help brands analyze customer behavior and trends to help strategize ways to improve the on-site experience
SoMe
On social media platforms where optimized targeting is the key to success, device data insights can help create interest-based profiles that serve as the basis for ads and promotions.
Business Intelligence in the age of connected devices
OpenD is a global data analysis platform for connected devices. The company collects, aggregates, analyzes, and enriches individual user data from all types of connected devices and creates accessible – and actionable – information to enable companies to make strategic, data-based decisions.
The Solution
OpenD uses anonymous, country level device-based data combined with ML algorithms to create scores and ranks for individuals, customized for a specific commercial application.
Strengths
Tight governance
and compliance
Proprietary AI algorithms and processes allows OpenD to connect the individual device’s Advertisement IDs to Browser Cookie IDs, delivering a holistic view into the person using the device.
Unprecedented
technical edge
Highest level of data security and compliance with all international rules and regulations. All data is persistent and anonymized — no email address, ID number, or phone number – and identified by a unique Operating System Identifier. GDPR and CCPA compliant.
360-degree insights
Automatic data processing seamlessly aggregates all types of connected device data, and transforms the data into an ocean of individualized insights.
Rich, actionable
datasets
Data is aggregated from all types of connected devices, including timestamps, geolocation data, IP addresses, web browsing activity, and native application usage. Enables commercial applications to extract behavioral, technical, and geographical information.
Technology and Key Features
With deep domain expertise in algorithms, data analysis, geographical intelligence, and data science, OpenD aggregates 9 billion events per day of AWS-based petabytes (PB) of global, anonymized device-level raw-data. Coupled with historical data, OpenD uses proprietary deep learning AI algorithms to analyze every device's distinct pattern and provides scoring and insights relevant to different industries and use-cases.
Our AI models leverage thousands of data points on each device in order to 'know' and continuously learn how to identify true (authentic) and fraudulent devices, historically and in real-time.
Our Partners
