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Page 1: BIG DATA INNOVATIONcdn.bdigital.org/PDF/BIGDATACONGRESS2016/3.KONODRAC.pdf2016-08-31 Konodrac 2016-09-19 14:00 2016-09-20 14:00 2016-09-21 14:00 2016-09-22 14:00 timestamp per hour

BIG DATA INNOVATION

Page 2: BIG DATA INNOVATIONcdn.bdigital.org/PDF/BIGDATACONGRESS2016/3.KONODRAC.pdf2016-08-31 Konodrac 2016-09-19 14:00 2016-09-20 14:00 2016-09-21 14:00 2016-09-22 14:00 timestamp per hour

Sr. Jordi Gilabert

CEO

Konodracwww.kinodrac.com

@jordi_gilabert

Page 3: BIG DATA INNOVATIONcdn.bdigital.org/PDF/BIGDATACONGRESS2016/3.KONODRAC.pdf2016-08-31 Konodrac 2016-09-19 14:00 2016-09-20 14:00 2016-09-21 14:00 2016-09-22 14:00 timestamp per hour

Big Data para Crear y MantenerAudiencias de TV

Page 4: BIG DATA INNOVATIONcdn.bdigital.org/PDF/BIGDATACONGRESS2016/3.KONODRAC.pdf2016-08-31 Konodrac 2016-09-19 14:00 2016-09-20 14:00 2016-09-21 14:00 2016-09-22 14:00 timestamp per hour

Page 5: BIG DATA INNOVATIONcdn.bdigital.org/PDF/BIGDATACONGRESS2016/3.KONODRAC.pdf2016-08-31 Konodrac 2016-09-19 14:00 2016-09-20 14:00 2016-09-21 14:00 2016-09-22 14:00 timestamp per hour

Page 6: BIG DATA INNOVATIONcdn.bdigital.org/PDF/BIGDATACONGRESS2016/3.KONODRAC.pdf2016-08-31 Konodrac 2016-09-19 14:00 2016-09-20 14:00 2016-09-21 14:00 2016-09-22 14:00 timestamp per hour

Page 7: BIG DATA INNOVATIONcdn.bdigital.org/PDF/BIGDATACONGRESS2016/3.KONODRAC.pdf2016-08-31 Konodrac 2016-09-19 14:00 2016-09-20 14:00 2016-09-21 14:00 2016-09-22 14:00 timestamp per hour

Page 8: BIG DATA INNOVATIONcdn.bdigital.org/PDF/BIGDATACONGRESS2016/3.KONODRAC.pdf2016-08-31 Konodrac 2016-09-19 14:00 2016-09-20 14:00 2016-09-21 14:00 2016-09-22 14:00 timestamp per hour

Visión Unificada para:

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NETWORK – Agregado Usuarios / Consumo Dia

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NETWORK – Agregado usuarios / Consumo Hora

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NETWORK – Desglose por Canal

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NETWORK– Comportamiento Audiencia vs Zapping

Page 13: BIG DATA INNOVATIONcdn.bdigital.org/PDF/BIGDATACONGRESS2016/3.KONODRAC.pdf2016-08-31 Konodrac 2016-09-19 14:00 2016-09-20 14:00 2016-09-21 14:00 2016-09-22 14:00 timestamp per hour

Visión Unificada para:

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CADENAS – Ranking de Programas (Audiéncia y Rotación)

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CADENAS – Fidelidad temporal

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CADENAS – Detección de Entradas y Salidas

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CADENAS – Recomendación de Programación

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Visión Unificada para:

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PRODUCTORAS – Radar visión 360º Real Time

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PRODUCTORAS – Conversión CrossPlatform

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PRODUCTORAS – Multiplatform Sincronizado con Contenido

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Jordi Gilabert

[email protected]

The First Data Analytics Cloud Platform for TV

09:00 – 09:20 09:20 – 09:30 09:30 – 10:00 10:00 – 10:45 10:45 – 11:00 11:00 – 11:30 11:30 – 12:00 12:00 – 12:30 12:30 – 13:00 13:00 – 14:00 14:00 – 15:00

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