Market overview of patent information analytics, my take on strategic decsions, which data sources, and a live demo of, how to visualize open patent information with Tableau 10.

1. arne@mtc.berlin • +49 172 5119844
founder/ceo of moving targets consulting gmbh • arndtstrasse 34 • 10965 berlin • germany
project sheldon

3. agenda
data science
strategic decisions
data sources

4. regional technology trends?
region: federal states of germany
technology: ipc/cpc

9. patent information analytics?
from commercial provider

16. information analytics tools?
from commercial provider
or non-profit/public authorities

23. business intelligence tools?
general purpose tools,
only sample data and viz,
connections to sql, api, etc.

26. tool selection criteria
diy
freemium
general purpose

29. agenda
data science
strategic decisions
data sources

30. no news?
digital transformation
computing costs less and less
info tech industry matures
the it / ip expert becomes a data expert
innovation is a challenge to the status quo
(inspired by Rob Thomas)

31. strategy?
is a pattern in a stream of decisions
(Henry Mintzberg)

32. important decisions?
perception + recognition = insight
(Inspired by Götz Werner)

33. evidential experience?
visualized linked data
can create insights and
better strategic decisons
(Inspired by Götz Werner)

34. agenda
data science
strategic decisions
data sources

35. data sources
open
laptop
no dev

36. data sources
epo.org / patstat
epo.org / open patent services
raw data from epo, dpma, us, etc…
normalized data from e.g. ificlaims, …
or our service at depatech.de

37. patent search engine

38. patent search engine
elasticsearch api for query
translation/mapping
annotations, aggregations
statistics, visualization

40. patent publication store

41. patent publication store
raw and normalized bib data
fulltext (de, ep) and images
download and api
on site: de, ep, us, wo, jp, kp, at
on demand: depatis, ops

43. depatech micro services
cds content delivery services
dqt deparom query translator
dsc deparom storage client

45. data + search = services

47. data acquisition live demo!

48. visualization
connect data sources
join them meaningfully
explore & analyze

49. vizualisation live demo!

50. summary

51. open patent data
todays commercial provider are making
money by restricting the access to the
data, the source code, the api’s and
software.
this will change!

52. open patent data
is not about free services, but free data!
you can always charge for the service you
deliver, if this creates value for others.
tools are no shortcuts!

53. open patent data
if there would be open patent data,
the tools to use them,
are already in the hands of your users!

54. big thanks to:
piznet.de
mustafa çakır
poldham.github.io
and my team at mtc, especially
marc.haus@mtc.berlin &
tim.jagodzinski@mtc.berlin

55. for links and sample wf & viz
please drop me a mail:
arne@mtc.berlin