Analytics Working Group - S3 Proposal
Proposal for Inverse Finance DAO to cover operations of the Analytics Working Group (AWG) in Season 3, running for 6 months from November 1, 2024 to April 30, 2025.
1. Introduction
This proposal outlines the agenda for Season 3 of the Analytics Working Group (AWG) within the Inverse Finance DAO. Leveraging the success and lessons of Seasons 1 & 2, we aim to deepen our data analytics capabilities to guide strategic decision-making and stimulate growth. For transparency purposes this proposal will be provided with detailed annexes about the AWG achievements last season (Annex I) as well as the cost involved (Annex II) and available on the (this) forum.
2. Analytics Working Group Overview
2.1 Role and Importance within Inverse Finance DAO
The AWG’s primary role is to analyze, interpret, and leverage data for strategic decision-making, through the provision of analytics & AI tools or infrastructures, thereby offering invaluable insights, identifying risks, growth opportunities, and highlighting improvement areas.
2.2 Achievements of Season 2
In Season 2, the AWG enhanced its operational excellence and technical resources by integrating Financial Machine Learning and an advanced Alert Monitoring system to its lead product : Inverse Watch.
Our day-to-day operations—developing data queries, producing reports, and managing data inquiries—remained strong. No major service disruptions have been observed in season 2.
Significant achievements include :
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Maintaining and monitoring the stability and efficiency of our alerting systems 24/7 (inverse.watch and associated services) ;
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Implementing a state of the art Financial Machine Learning training and predicting framework on Inverse Watch ;
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Implementing a pilot functionality for Smart Contract indexing ;
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Improving our advanced graph visualization mode on Inverse Watch ;
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Implementing a dark mode on inverse Watch allowing our team to work longer hours more in a more pleasant manner ;
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Improving the stability and error handling of our discord bots to continuously monitor prices or smart contract functions ;
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Improving our blockchain simulation framework on Inverse Watch ;
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Adding various dashboards relying on those systems including :
- sINV monitoring ;
- LP DOLA weight monitoring ;
- Executive Report Indicators ;
- Aave vs DBR rates historical comparison
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Adding various alerts relying on those systems including :
- Price Feeds monitoring
- FiRM alerts on Twitter : foster engagement on social networks engagement
These initiatives improved our analytics, risk modeling, and made transactional data more intuitive, reinforcing the platform’s role in strategic decision-making for the DAO.
More details are available in the Annex I.
2.3. S2 Success Metrics
AWG is happy to report that all success metrics/objectives have been implemented successfully in season 2 :
Infrastructure Uptime- Frequency of insights reports publications
- Project: Advanced Data Connectors and Visualization Tools
- Project: Machine Learning and AI Capabilities
- Project : Bots stability improvement
- Project : Alert monitoring page More details are available in the Annex I.
3. WG Goals for Season 3
3.1 Strategic Objectives
For Season 3, the AWG is set to maintain its analytics capabilities, further refine its tools, and strengthen its collaboration with other working groups, aiming to create a more cohesive and data-driven DAO.
3.2 Usual Objectives
The main objective of the AWG is to continue operating and maintaining its systems “as-usual” in order to ensure their availability and stability and guarantee their effectiveness.
3.3 Additional Projects for Season 3
- Treasury Revenue : coordinate with Zerion (or alt) to correct data and build reports to analyze historically Treasury operations and revenue.
- Token Terminal integration : coordinate with Token Terminal to display inverse finance metrics on their website and boost growth & awareness.
- Machine Learning : Leverage our newborn ML infrastructure to assist in the DAO decision making and Risk monitoring
- Smart contract indexation : improve the embryonic indexing functionality implemented in season 2.
- Dashboards : Expand the coverage of our dashboards to operational functions (ie assist Fed policy and Treasury decision-making)
3.4. Success Metrics for S3
Success in Season 3 will be quantified through metrics such as infrastructure uptime, the frequency of insight report publication, and the completion of the above listed projects.
3.5. Responsibilities and Focus Areas
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Data Strategy Development and Governance : Our focus remains on refining our data strategy to ensure it aligns perfectly with the DAO’s goals. This involves comprehensive data management and governance, ensuring data integrity, security, accessibility and affordability.
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Tooling, Infrastructure Maintenance and Improvement : The AWG is dedicated 24/7 to maintaining and improving the robustness of its platform and tools, ensuring they operate efficiently and are continuously improved to meet the DAO’s evolving needs.
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Data Analysis, Interpretation, and Insight Provision : We will continue to utilize and improve our tools to delve deeper into data, offering clear, actionable insights that can significantly influence the DAO’s strategic directions.
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Dashboard & Report Generation : The generation of detailed reports on various topics remains a priority. These reports play a crucial role in guiding risk decision processes in the DAO.
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Alerting System and Automated Socials Enhancement : We aim to further refine our sophisticated alerting system, ensuring we remain vigilant and responsive to any operational or financial risks that may arise.
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Collaboration, Consultation, and Data Literacy Advocacy: By enhancing our collaboration with other working groups, we seek to provide essential data support and promote a culture of data literacy across the DAO, empowering all members with the tools & knowledge to make data-informed decisions.
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Other AWG Activities : Like other team members @naoufel is on standby 24/7 on the following Multi Sigs :
- Fed Chair
- Treasury Working Group
- Policy Committee
4. Decision-making Power and Governance
The AWG will maintain its decision-making authority over analytics infrastructure and tooling. This autonomy ensures we can efficiently allocate resources in alignment with our strategic goals, driving forward our analytics capabilities.
5. SecOps Responsibilities and Enhancements
Our ongoing collaboration with the Risk and Treasury Working Groups highlights our vital role in providing the technical expertise and analytical support necessary for the DAO’s operational and risk management strategies.
6. Budget for Season 3
- S2 Budget summary and remainder
The budget for S2 originally included $4,748.4 with an additional $3,800, totaling $8,548. However, the total cost for season 2 amounted to only $4,041.27 which is notably lower than anticipated. This surplus could allow for coverage of expenses for several months beyond what was initially planned for season 2.
Detailed budget considerations for tooling, infrastructure maintenance, and potential project expansions will be provided separately, ensuring transparency and accountability in the allocation of DAO resources.
- Contributors
| Name | FTE | Band | Pro-Rata Monthly Salary | Total for Season 3 |
|---|---|---|---|---|
| Naoufel | 1 | B | 12,000 | 77,000 |
- Ad-hoc & Tooling
- dRPC: ~100 $ / month
- Digital Ocean : ~500$/month
- GRT Tokens: $1,200 for S2 (unused in S1 & S2)
- OpenAI : ~ 0 to 50 $/month
- Coingecko: ~156 $ / month
- Flexible Budget
AWG requests a flexible allowance of 1,000 DOLAs to cover tooling unforeseen expenditure that arises during the Season.
- Summary
| S3 $DOLA allowance | S3 $$INV allowance | |
|---|---|---|
| Contributors | 77,000 | 0 |
| Ad Hoc & Tooling | 6,036 | 0 |
| Flexible Budget | 1,000 | 0 |
| Total | 84,036 | 0 |
10. Conclusion
The AWG’s achievements in Season 2 have laid a robust foundation for scaling our analytics communications, analysis, and reporting in coverage and complexity with a sophisticated approach.
With Season 3, we aim to build upon this success, building innovative reports and analysis to enhance decision-making, risk management and operational efficiency across the DAO.
