Our DataYogi Ecosystem
We’ve been hard at work building out our DataYogi vault, and the API’s that allow external parties to connect to it to pull data from it, or push data into it. We have prototype connections up and running and working well between a person’s vault and Salesforce CRM, Zoho, Azure, AWS and WordPress.
We feel that an individual’s personal data eco-system will consist of four primary components (each of which can have multiple/ many instances).
1. Personal Data Vault(s) – these are data stores, points of integration and strategic control points that enable individuals to become and operate as the optimum source for data about themselves. These vaults can range from highly evolved local databases with decentralised identities, appropriate cryptography and software agents to automate and manage complexity and volume, through to relatively simple data stores for analytics, reporting and ultimately archive. Vaults and their associated software agents will also manage the bilateral information sharing agreements that govern each data sharing relationship, and the audit log of data transactions. This richer, deeper, more dynamic data will support an array of machine learning and artificial intelligence deployments.
2. Connected organisations – when both individual and the organisations have the tools to do so, co-managing data in the context of first and second parties becomes the optimal method for both parties. Existing suppliers are the most likely integrations in this case as the primary purpose is to improve how existing data and relationships are managed.
3. Human-centric applications – these become a new category of software applications which, by design, recognise the individual as the point of integration and data control. There are several obvious sub-types that should emerge within the human-centric app category:
a. Product/ service area focused – my house, my cars, my gadgets, my finances, my trips, my work are obvious examples
b. Life event focused – such as having a child, getting a new job, moving home, my illness, my events and memories, death in the family and many more
c. Data types focused – perhaps more specialist areas like my calendar, my subscriptions, my learning and skills, my collections, my nutrition, my permissions and consents, my preferences
d. Data purpose focused – my reporting, my search and discovery, my customer service issues, my data sharing, my credentials
e. Utilities – data cleansing/ enrichment, data verification, valuation updates, reminders and notifications, data security
4. Data service providers – just as many data service providers have sprung up to meet the needs of organisations, the same will apply to individuals.
We’re now looking for partners to help build out the above eco-system, especially in the human-centric applications and data service provider categories. If that’s of interest, then please get in touch via this page. #mydata
