246 of 11.001 listings match.
Time = 5y,
src = 14/14,
lang = all,
dict = D1,
terms = 10(ANY). last watermark · 2026-05-06
Demand index · last 4 wk vs window mean
5496%
above baseline
Reg. pressure (D5 mentions)
7
across all listings in window
Top mover · D1
SAP
∞ (z=99.0)
Recurring clusters
5
near-duplicate templates
01All 20 terms · Tools
13/20 have ≥1 citation · sparkline = trend · click row to filter · zero-count terms shown at bottom
02Term trend · top 5
anomalies marked · z > 2.5
SAPDATEVExcelSalesforceHubSpot
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 | 3 | 0 | ∞ | 0.0 |
| Excel | 42 | 0 | ∞ | 99.0 |
| MS Dynamics | 1 | 0 | ∞ | 0.0 |
| Confluence | 2 | 0 | ∞ | 0.0 |
| Power BI | 3 | 0 | ∞ | 0.0 |
| Jira | 1 | 0 | ∞ | 0.0 |
| HubSpot | 4 | 0 | ∞ | 99.0 |
| Salesforce | 12 | 0 | ∞ | 99.0 |
| 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 |
|---|---|---|---|
| Excel | reporten | 8 | 4.69× |
| DATEV | exportieren | 6 | 3.73× |
| SAP | API | 5 | 1.08× |
| Excel | Pflege | 4 | 3.90× |
| Excel | integrieren | 4 | 2.60× |
| SAP | integrieren | 3 | 0.65× |
| Excel | Power BI | 3 | 5.86× |
| DATEV | Buchhalter | 3 | 2.80× |
| REST | SOAP | 3 | 82.00× |
| DATEV | Postgres | 2 | 2.48× |
| Postgres | integrieren | 2 | 18.22× |
| DATEV | Pflege | 2 | 1.24× |
| Confluence | reporten | 2 | 24.60× |
| Confluence | Pflege | 2 | 41.00× |
| reporten | Pflege | 2 | 8.20× |
| Excel | analysieren | 2 | 2.93× |
| Power BI | analysieren | 2 | 41.00× |
| Excel | automatisieren | 2 | 2.93× |
| SAP | analysieren | 2 | 0.98× |
| integrieren | Schnittstelle | 2 | 13.67× |
05Recurring clusters · near-duplicate listings
indicates productizable workflows · click row for records