Download Data Analytics

Tarkvara TAK andmeanalüütika ettevõte
Kalev Koppel
Andmeanalüütika bootcamp
10. november 2015
STACC facts
• Established in 2009
• Focus on applied research and product
development projects in the field of Data
Analytics
• Annual budget for R&D approx. 1,7MEUR
• 20+ industry partners and 2 universities
• 50+ employees
More Data than Analysts – the Real ‘Big-Data Problem’. April 1, 2013 by Craig Allen
Vision
STACC is a leading R&D organisation where
companies can access expertise in (big) data
analytics and co-develop visionary technology
products in this field.
* Top 100 Most Promising Big Data Companies according to CIO Review
Creating value from data
Extract Value
Data
Provider
Information
Create Value
Data Processor /
Service Provider
Data
Services
Service
Consumer
Cooperation Project in Data Analytics
How big is big?
D
A
T
A
Data
Analysis
IMPACT
Economic
Social
STACC
University
S
K
I
L
L
S
Real-time
monitoring
Predictive
models
How we approach the DA project?
Business
requirements
definition
•
•
•
•
Domain models
Business processes
Data collection plan
Working hypotheses
Information
Extraction,
Data Analysis
Data audit &
preprocessing
• Data modelling
• Quality assessment
• Data clean-up
•
•
•
•
•
•
•
Custom
solution
development
KDD process
• Algorithms design
Information Extraction • Proof-of-concept
Machine learning
• Prototype
NLP
Clustering
Sequence mining
BP mining
Deployment,
testing, trials
• Test reports
• Training materials
• Software launched
Application areas
Core competencies
• Machine learning
• Clustering, classification, regression…
• Time series & sequence mining
• Text analytics
• Text mining, semantic models
• NLP techniques
• BPM
• Data visualisation
• Distributed data processing
Recognition
Strategic development areas
2. Big Data and Security
1. Software and Systems Optimization
STACC
3. Spatio-Temporal Data Analytics
4. E-Health and Personalised Medicine
Contacts
Kalev Koppel
CEO
[email protected]
Ph. +372 515 9966
Silver Traat
Head of Business Development
[email protected]
Ph. +372 5358 7787
Spatio-temporal Data Analytics (STDA)
Need
Visualization
Tools & Methods
Evaluation
Refining the accuracy
Security in eGovernance
STDA: Impact
Telecommunication
Industry
Targeted Marketing
STDA
Traffic and
transportation
management
Tourism sector
SA4: E-Health and Personalised Medicine
Health Insurance
Fund
Haigla
Hospital
Insurance
Prescription
e-Health
GP
GP
GP
GP
Goal: analyse data
to bring value to
patients, partners,
business
4.1. Methods (IE)
4.2. Analysis
4.3. Personalisation
Soolevähi tunnuseline sarnasus muude
haigustega
B77
Askaridiaas e solgetõbi
B80
Enterobiaas e naaskelsabatõbi
I84
Hemorroidid e päraku veenikomud
K52
Muud mittenakkuslikud
gastroenteriidid e maopeensoolepõletikud ja koliidid
K57
Soole divertiikul- e sopististõbi
K58
Soole ärritussündroom e haigustunnustik
K59
Muud soole talitlushäired
K60
Pärasoole- ja pärakupiirkonna lõhed
ja uurised
K62
Muud pärasoole- ja pärakuhaigused
K63
Muud soolehaigused
K92
Seedeelundite muud haigused
21
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