Nowcasting Business Performance

Nowcasting Business Performance

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  NOWCASTING BUSINESS PERFORMANCE miércoles, 28 de noviembre de 12
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  GROWTH INTELLIGENCE What we do Classification of companies Revenue estimation What we use Machine Learning Times Series methods miércoles, 28 de noviembre de 12
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  SOME OF OURCLIENTS miércoles, 28 de noviembre de 12
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  NOWCASTING Estimating the value of a time series not readily available at present present miércoles, 28 de noviembre de 12
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  NOWCASTING present miércoles, 28 de noviembre de 12
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  NOWCASTING Previously called short-term forecasting forecasting More an approach and a goal than a different theory and field miércoles, 28 de noviembre de 12
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  NOWCASTING USE CASES Weather nowcasting Search-based nowcasting GDP nowcasting miércoles, 28 de noviembre de 12
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  WEATHER NOWCASTING Simplified model that is applied quickly Uses weather models Forecast at location x given weather at y → Not applicable to other fields miércoles, 28 de noviembre de 12
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  SEARCH-BASED NOWCASTING Popularized by Google Recent successes Flu predictions Consumer behaviour travel, movies and products Based on Google’s data, simple AR models Only used to study what people are searching for miércoles, 28 de noviembre de 12
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  GDP NOWCASTING Field with the most generic research Major research since the 90's GDP released quarterly with further revisions 1000's of signals for GDP nowcasting Industrial production, unemployment, confidence surveys, retail sales, ... miércoles, 28 de noviembre de 12
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  GDP NOWCASTING Vector auto-regression and the “jagged edge” Present Different frequencies, different lag, missing data miércoles, 28 de noviembre de 12
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  Patents Search results Advertisement spending LinkedIn info Web traffic Assets Tweets Website Liabilities Press updates miércoles, 28 de noviembre de 12
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  TIE WITH “BIGDATA” Need to gather signals in large quantity Machine learning as a pre-processing step and to integrate discrete events Example: companies in a sector which receive investment miércoles, 28 de noviembre de 12
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  TIE WITH ESTIMATIONTHEORY Beneath all this: Getting to a variable not directly observable with the help of measured signals Replacing probability distribution from physical models with machine learned knowledge miércoles, 28 de noviembre de 12
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  METHODOLOGIES Vector auto-regression Challenge with large number of signals (predictors): Curse of dimensionality when applying VAR Machine Learning approach Own solution: ziggurat miércoles, 28 de noviembre de 12
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  TIME SERIES +MACHINE LEARNING avg, std dev, model params Δrevenue miércoles, 28 de noviembre de 12
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  OUR PIPELINE FORNOWCASTING Clustering companies in sets (ML) Signals gathering Time Series processing ML with model for each cluster > Revenue for each company and each cluster miércoles, 28 de noviembre de 12
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  TECHNOLOGIES miércoles, 28 denoviembre de 12
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  DATA SCIENCE AT GROWTH INTELLIGENCE :D miércoles, 28 de noviembre de 12