Mu Sigma
Circuit mix
Where Mu Sigma shows up, by circuit. Each event counts once: 2 if it sponsored, 1 if it only had speakers. Hover a segment for the conference.
- Enterprise, analyst & AI expos50%1 event
- Python & R data science50%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 |
|---|---|---|---|---|---|---|---|---|
| CDAO (Chief Data & Analytics Officer) Summits | ||||||||
| SciPy Conference (Scientific Computing with Python) |
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
- Silver
Where they've grown or pulled back
DownNothing recorded in 2026; sponsored 1 conference in 2022.
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.
Pulled out 1
Not sponsored since 2024 or earlier, though a later event published a complete sponsor list without them.
- CDAO (Chief Data & Analytics Officer) Summitslast sponsored 2022; the conference ran again in 2023–26
Once or on and off 1
No clear direction, or a gap we can’t confirm because later sponsor lists are incomplete.
- SciPy Conference (Scientific Computing with Python)once, 2020, Silver
Not on the company map: lookalikes are computed only for companies present at four or more conferences.
Often sponsors alongside
Companies that sponsored the same events, by number of shared events (out of 2 this company sponsored).
| Company | Shared events | Share |
|---|---|---|
| Ataccama | 1 | 50% |
| BlackLocus | 1 | 50% |
| Brijj | 1 | 50% |
| Brytlyt | 1 | 50% |
| CARTO | 1 | 50% |
| Collibra | 1 | 50% |
| Databricks | 1 | 50% |
| Datactics | 1 | 50% |
| Denodo | 1 | 50% |
| Doorda | 1 | 50% |
| Enthought | 1 | 50% |
| Gordon and Betty Moore Foundation | 1 | 50% |
| Gurobi | 1 | 50% |
| Incorta | 1 | 50% |
| INE | 1 | 50% |
Sponsorships 2
| Event | Date | Place | Tier as listed | Normalized tier |
|---|---|---|---|---|
| CDAO UK 2022 (March) | Mar 14–16, 2022 | London, United Kingdom | GOLD SPONSORS | Gold |
| SciPy 2020 | Jul 6–12, 2020 | United States | Silver | Silver |
Speakers 1
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Dhiraj Rajaram | CDAO UK 2022 (March) | speaker | — | — |