Adaglass is an ambitious, community-driven and unified solution that continuously observes, enriches, presents and shares data in relation to the Cardano ecosystem. It uniquely brings data, views and analytics' tools in an intuitive and engaging user experience that enables Cardano stakeholders to gain end-to-end visibility, instant insights and actionable intelligence.
The platform combines modern, enterprise-grade and open source telemetry, search and machine-learning technologies to provide the community with unparalleled transparency of the Cardano ecosystem, helping everyone tracks, learns from and reports on key events, actors, assets and performance indicators.
Adaglass aims to restore trust to the Cardano blockchain – creating, through data, a community-driven, transparent, and sustainable foundation for developers, operators, investors, partners and users to visualize the performance, growth and opportunities of the Cardano ecosystem.
With this proposal, we are looking at kickstarting the Adaglass operations.
The heart of the Adaglass platform is a fast and scalable search and analytics engine, which helps collect, normalize, enrich, aggregate and share data and metrics originating from a large set of data sources. A primary focus is then to setup a secure, resilient, reliable and highly-available CSA (Cardano Search & Analytics) platform, and integrate with a critical set of data providers.
The incarnation of Adaglass also comes with allowing users to visualize into one unified view the growth and performance of the Cardano ecosystem. This will be a first iteration and made available through the launch of the CSI (Cardano Service Intelligence) application, and the delivery of an innovative stake-to-subscribe model, sustained by a yet-to-provision ADAG stake pool and the possibility to connect a Cardano wallet directly from the application.
Finally, while this operationalization phase is about releasing the technological building blocks and unlocking value through the CSI application, it is also about gaining support from the community, successfully turning our vision into reality and setting the pace for our mission to uniquely bring transparency to the Cardano ecosystem via data, tools and engaging views.
Adaglass addresses the challenge in numerous ways but most primarily it provides the following benefits:
- Maximize engagement and growth of the Cardano ecosystem and community with an always-on, one-stop-shop for every Cardano question
- Perpetual increase of the global awareness and credibility of Cardano for developers, investors and influencers with easy access to end-to-end service performance views
- Move towards restoring trust to the Cardano blockchain and uncovering new and hidden opportunities with increased transparency and accurate, unbiased, and correlated data
- Expand business to new areas with unique analytics’ tools that provide instant insights and actionable intelligence to make informed decisions on everything Cardano
Risk #1: Low level of community acceptance and usage post launch
Probability: Low, Impact: High
Mitigation Measures:
- Identify an initial set of metrics in high demand and low supply
- Build and unlock value quickly
- Share progress updates regularly and publicly
- Share engaging release notes and notable change events on telegram
- Promote the brand and the service with a video on the site and Youtube
- Promote service with nurturing and acquisition campaigns
- Build and publish a roadmap
Risk #2: Heavy reliance on third-party data, applications and interfaces
Probability: High, Impact: Medium
Mitigation Measures:
- Build partnerships with critical data source providers and obtain long-term buy-in support
- Design flexible data source connectors
- Monitor and alert on data source availability and third-party service change
Risk #3: Poor data accuracy and frequent occurrence of data loss / data gaps post launch
Probability: Medium, Impact: High
Mitigation Measures:
- Establish validations criteria by means of audit trails
- Monitor and alert on data source availability and third-party service change
- Maintain both incremental and full data backups that can be restored
- Build backfill capabilities and automated jobs early in the process
Risk #4: Schedule and cost overrunning
Probability: Medium, Impact: High
Mitigation Measures:
- Establish a strong project governance framework
- Lock down the final MVP scope early
- Protect team from distraction and scope creep
- Unlock revenue stream early with provisioning of the service stake pool and a wallet connector
- Advertise the stake-to-subscribe model, outline upcoming features, be transparent in service tiers
Risk #5: Unsustainable storage and networking costs
Probability: Medium, Impact: High
Mitigation Measures:
- Limit the initial set of metrics, filter raw data stored, normalize early
- Monitor data volume and growth levels over the first 3-6 months, set a baseline, review regularly, accommodate the business model according to actual needs
- Use synthetic data in non-production environments
- Limit historical data persistence and data transfer to its bare minimum until the model is proven and is sustainable