Civis Analytics
Circuit mix
Where Civis Analytics shows up, by circuit. Each event counts once: 2 if it sponsored, 1 if it only had speakers. Hover a segment for the conference.
- Modern data stack & practitioner38%3 events
- Python & R data science38%2 events
- Enterprise, analyst & AI expos25%1 event
Presence by conference and year
Each cell is one conference in one year. Fill shows the company sponsored, shaded by its best tier that year; a dot means it had speakers there. Hover for details; click to open the event.
- Title
- Platinum
- Gold
- Silver
- Bronze
- Other / unlabeled tier
- Had speakers
| Conference | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 |
|---|---|---|---|---|---|---|---|---|
| Coalesce | ||||||||
| PyData | ||||||||
| Strata Data Conference | ||||||||
| Data Council | ||||||||
| PyCon (national Python conferences) |
Activity by year
Three measures on one year axis; each panel has its own scale.
Conferences present at
Distinct conferences each year, split by whether the company sponsored or only had speakers there.
- Sponsored
- Speakers only
Distinct speakers
People from this company on a program that year, each counted once.
Sponsorships by tier
Sponsorship rows per year (one per event and listing), stacked by normalized tier.
- Gold
- Other / unlabeled
Where they've grown or pulled back
DownNothing recorded in 2026; sponsored 2 conferences in 2019.
Counted per conference. 2026 is the latest year whose conferences have mostly happened. Tiers use the best tier each year; swatches show the path, oldest first. A conference counts as pulled out only when a later event published a complete sponsor list, since most events don’t say whether their list is complete.
Once or on and off 2
No clear direction, or a gap we can’t confirm because later sponsor lists are incomplete.
- PyDataonce, 2019, Gold
- Strata Data Conferenceonce, 2019, unranked tier
Lookalikes
Companies with the most similar conference footprint: they sponsor and speak at the same conferences. Bars are cosine similarity, from 0 (nothing shared) to 1 (identical).
- Allegro0.78
- Columnar0.70
- Streamlit0.69
- Bytewax0.69
- Delivery Hero0.69
- Cubist Systematic Strategies0.69
- GoDataDriven0.67
- ASML0.66
17 Cluster: PyData · QCon circuit →
Often sponsors alongside
Companies that sponsored the same events, by number of shared events (out of 2 this company sponsored).
| Company | Shared events | Share |
|---|---|---|
| IBM | 2 | 100% |
| Actian | 1 | 50% |
| Aetna | 1 | 50% |
| Alation | 1 | 50% |
| Algorithmia | 1 | 50% |
| Alteryx | 1 | 50% |
| Amazon Web Services | 1 | 50% |
| AMD | 1 | 50% |
| Amenity Analytics | 1 | 50% |
| Anaconda | 1 | 50% |
| Apache Software Foundation | 1 | 50% |
| Arcadia Data | 1 | 50% |
| AtScale | 1 | 50% |
| Attunity | 1 | 50% |
| Auger.AI | 1 | 50% |
Neighborhood: companies with nearby conference footprints
Civis Analytics (ringed) and the 30 companies closest to it on the company map. Close together means they sponsor and speak at many of the same conferences. Distances are only meaningful locally; the axes have no meaning. Dot size: conferences present at. Color: cluster.
Sponsorships 2
| Event | Date | Place | Tier as listed | Normalized tier |
|---|---|---|---|---|
| PyData New York City 2019 | Nov 4–6, 2019 | New York, United States | Gold | Gold |
| Strata Data Conference San Francisco 2019 | Mar 25–28, 2019 | San Francisco, United States | Exhibitors | Other |
Speakers 5
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Emma Peterson | Coalesce 2021 | speaker | So You Think You Can DAG: Supporting data scientists with dbt packages | Slides · Video |
| Anna Bladey | Coalesce 2020 | speaker | Human in the loop data processing | Video |
| Shira Mitchell | Data Council New York City 2019 | talk | Prediction-Based Decisions and Fairness: Choices, Assumptions, and Definitions | — |
| Joshua Falk | PyData New York City 2019 | speaker | Generating realistic, differentially private data sets using GANs | Video |
| Liz Sander | PyCon US 2019 | speaker | Lowering the Stakes of Failure with Pre-mortems and Post-mortems | Video |