Users can directly monetize market research insights from their data while maintaining privacy and control of which types of insights are shared.
Queries can be sent directly to the market research community via Private Sharing and only anonymized, aggregated responses are returned. Analysis of user data happens inside the UBDI app using edge processing.
Market research can be done privately using rich data provided by a community of users. Data is both GDPR compliant and fully permissioned by users, and is far more reliable than traditional surveys and manually provided answers.
Individuals can maximize social media engagement by finding the best time to post, which content to post and hashtags to use based on analytics of past performance. Users also get a single unified view of their metrics across multiple social media networks.
Quick and easy single integration to multiple social media data streams in one convenient JSON format.
Save on development, integration and maintenance time using GDPR-compliant private sharing to connect to multiple social media data streams with consent from the user.
Individuals can finally access their medical records from many different providers and gain a better understanding of their health. Private sharing with apps enables additional valued added benefits.
Quick and easy, single point of integration to health data from across the globe (currently US, UK and Iceland). Digi.me has done all the complex work of integrating with these disparate systems to authenticate and authorize users and encrypt and sync their medical data to a cloud location of their choice. We have put years of effort into a platform that exceeds the compliance, security and privacy levels necessary to access the data. Using our SDKs, you can ask your users for access to their data directly and securely.
Connect to many different health systems via a single integration and skip lengthy and costly compliance reviews. Build one solution that works in the US, Iceland and soon the UK with even more countries to come. Did you know it takes more than 9 months to get access to the UK NHS production data? You can save all that time and money using digi.me's patient-centric SDKs and asking your users directly for their medical data.
A unified view of financial spending and income from financial institutions and credit cards with complete peace of mind that data is not being tracked or sold to marketers. Easy filters allow presentation by accounts or by date ranges.
Data from thousands of financial institutions are integrated through financial aggregation data partners. All analytics algorithms are contained in the Finsite101 app and are applied in true edge processing.
A private, secure personal financial analytics manager that helps your customers stay engaged with your bank or financial products while reinforcing your brand. Analytics and visually attractive and interactive charts included.
A user can manage their online reputation by using Private Sharing to provide access to their entire history of social posts from Facebook, Instagram, Twitter and Pinterest. The TFP app flags any posts with potentially objectionable or offensive content and an easy work flow allows users to mark those they might want to edit or delete.
A library of over 8,000 potentially offensive or objectionable words and phrases are applied in the TFP app using edge processing. The Private Sharing SDK allows 10,000's of posts to be imported and analyzed in a matter of minutes with an integrated work flow to edit or delete posts.
Deepen relationships with job search candidates or executive recruitment clients by offering them the opportunity to search their social media for potentially offensive content.
Private sentiment analysis of social posts from multiple social networks to identify happy, sad or neutral posts. Individual posts are scored and aggregate scores are ranked by month to show longitudinal results.
A third party machine learning library for sentiment analysis is incorporated into the app using CoreML for true edge processing. No data has to leave the device.
Engaging and trusted approach to help users understand important aspects of the emotional content of their social posts.
Users can easily filter and select copies of photos they posted, liked or were tagged in across social networks to save to their own photo library or share using iOS share function.
Multiple social networks are scanned privately inside the app for photos and photos that are selected are imported to a user's photo library or other storage locations. Multiple filters are used to allow a user to quickly select a related subset of photos across all social networks.
Rapid, large scale photo importing from multiple sources can drive unique business opportunities, especially for cloud storage.