4. bad for official sources
bad for users
often adds little value
bad for data quality
5. problem cause
data accuracy
data is re-keyed. few eyeballs. often little downside to
lying
gaps in data
high (& often duplicated) cost of data entry. limited to
payers
lack of granularity
legacy systems/data models hard to re-engineer in
closed world
errors go uncorrected few feedback mechanisms
black box/no
provenance
canโt reveal (sometimes dubious) sources. limits
usefulness/trust
isolated
proprietary IDs are internal identifiers & are barriers to
sharing & improved data quality
example proprietary data quality issues
6. in a data-driven world we
need company dataโฆ
with provenance
with clarity
in a form that can be combined
with other data
7. Mission: every public company data
item in the world matched to the
company
โขLegal Entities โ the critical underpinning of the corporate
world
โขDe-siloing data from official corporate registers, and other
government data, especially regulatory
โขLinking critical โ and previously obscure datasets
โขLine of sight to primary data โ transparency and trust
8.
9.
10. โข Utility - or rather a lack ofโฆ
Gazettes predate the web
Published in unstructured, unclassified,
digitally antagonistic formatsโฆ
undiscoverable, unsearchable, barely
browsable let alone comparable!
Why?
11. โข Official public notices
Critical company events
liquidation, dissolution, winding-up
orders, mergers, AGMโs etc
Signals
often precede changes in company
registers by up to 4 weeks
What?