Topic 4: The Magicians Hat: Turning Data into Business Intelligence (2)

Turning Data into Business Intelligence

Konstantin DranchMemsource

Building BI in a translation toolOur approach

1. Separate language data from metadata

visualisation tools API 3rd party BI

Memsourcetranslation platform

Elastic Searchdata warehouse

2. DIY metrics & dashboard builders

3. Embedding data into process

4. Higher data resolution over time

1. Project data

2. Job data

3. Segment data

4. Time tracking

5. Subsegment data

Thank you!

[email protected]

Cloud tools lead to Big Data

Server tools: private data silos Cloud tools: centralized data

And the clouds are getting bigger…

In May alone, users processed 0.8 billion words in Memsource

Benchmarks: translation memory

Data for jobs where post-editing analysis has been performed, December 2015 - May 2016

Sample9 bnwords

Benchmarks: machine translation

Sample size 20 million words, December 2015 - May 2016

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en:es pt:en en:pt es:en en:ru ru:en en:de pt:es en:fr es:pt

% O

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SAMPLE LANGUAGE PAIRS

EDIT DISTANCE FOR MAJOR LANGUAGE PAIRS

mt.match100 mt.match95 mt.match85 mt.match75 mt.match50 mt.match0

MT not used

Raw MT

Moderate edits

Heavily edited

Benchmarks: rising languages% increase Language Volume67,481.6 Marathi *3,087.7 Hindi *1,006.0 Latvian **784.3 Kazakh *689.1 Serbian *659.5 Finnish **657.5 Romanian *613.9 Vietnamese *592.5 Indonesian *585.7 Turkish **543.6 Hungarian *467.4 Italian ***457.2 Ukrainian *448.9 Chinese ****440.7 Swedish **428.8 Dutch **390.0 Norwegian *378.9 English *****335.2 Danish **

% increase Language Volume331.3 Estonian *319.2 Polish **318.5 Norwegian Bokmål *307.8 German ***306.9 Thai *299.7 Overall increase in volume295.8 Korean **269.4 Czech **268.3 Russian ****245.5 French ****241.4 Slovak *237.8 Portuguese ***237.4 Bulgarian *230.0 Arabic *200.9 Japanese ****194.8 Spanish ****137.8 Bulgarian *121.4 Greek ***

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