213 of 11.001 listings match.
Time = 5y,
src = 14/14,
lang = all,
dict = D1,
terms = 8(ANY). last watermark · 2026-05-06
Demand index · last 4 wk vs window mean
5707%
above baseline
Reg. pressure (D5 mentions)
0
across all listings in window
Top mover · D1
SAP
∞ (z=99.0)
Recurring clusters
6
near-duplicate templates
01All 20 terms · Tools
14/20 have ≥1 citation · sparkline = trend · click row to filter · zero-count terms shown at bottom
02Term trend · top 5
anomalies marked · z > 2.5
SAPDATEVSnowflakeExcelBigQuery
03Top movers · current half vs prev half
largest |Δ%| · z-score (Poisson)
| Term | Now | Prev | Δ % | z |
|---|---|---|---|---|
| SAP | 126 | 0 | ∞ | 99.0 |
| DATEV | 66 | 0 | ∞ | 99.0 |
| sevdesk | 1 | 0 | ∞ | 0.0 |
| Postgres | 2 | 0 | ∞ | 0.0 |
| Excel | 2 | 0 | ∞ | 0.0 |
| MS Dynamics | 1 | 0 | ∞ | 0.0 |
| Confluence | 1 | 0 | ∞ | 0.0 |
| Snowflake | 19 | 0 | ∞ | 99.0 |
| BigQuery | 2 | 0 | ∞ | 0.0 |
| Tableau | 1 | 0 | ∞ | 0.0 |
| Looker | 1 | 0 | ∞ | 0.0 |
| Metabase | 1 | 0 | ∞ | 0.0 |
| Lexware | 1 | 0 | ∞ | 0.0 |
| Talend | 2 | 0 | ∞ | 0.0 |
04Co-occurrence · top 20 pairs
Lift = P(A,B)/(P(A)·P(B)) · click to filter on both
| Term A | Term B | Count | Lift |
|---|---|---|---|
| DATEV | exportieren | 6 | 3.23× |
| SAP | API | 5 | 1.41× |
| SAP | integrieren | 3 | 1.27× |
| DATEV | Buchhalter | 3 | 2.42× |
| DATEV | Postgres | 2 | 3.23× |
| DATEV | Pflege | 2 | 3.23× |
| SAP | analysieren | 2 | 1.69× |
| DATEV | Steuerfachangestellte | 2 | 3.23× |
| Buchhalter | Steuerfachangestellte | 2 | 53.25× |
| BigQuery | Snowflake | 2 | 11.21× |
| DATEV | sevdesk | 1 | 3.23× |
| sevdesk | exportieren | 1 | 35.50× |
| DATEV | integrieren | 1 | 0.81× |
| Postgres | integrieren | 1 | 26.63× |
| Excel | SAP | 1 | 0.85× |
| MS Dynamics | SAP | 1 | 1.69× |
| MS Dynamics | integrieren | 1 | 53.25× |
| Confluence | DATEV | 1 | 3.23× |
| DATEV | reporten | 1 | 1.61× |
| Confluence | reporten | 1 | 106.50× |
05Recurring clusters · near-duplicate listings
indicates productizable workflows · click row for records