Analyzing organization e-mails in near real time using Hadoop ecosystem tools. Session presented at Big Data Spain 2015 Conference 15th Oct 2015 Kinépolis Madrid http://www.bigdataspain.org Event promoted by: http://www.paradigmatecnologico.com Abstract: http://www.bigdataspain.org/program/thu/slot-8.html#spch9.3

2. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.
Analyzing organization e-mails in Near Real Time using
Hadoop Ecosystem tools
Big Data Spain 2015
Miguel Romero, Hadoop Architect (@donkelito)
Alberto de Santos, Data Scientist (@adesantossierra)
Analytics and Data Management, Enterprise Services

3. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.

4. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.
Un trabajador feliz se
ausenta un 28,4% menos
Un trabajador feliz es un
22% más productivo que
uno infeliz
$100,0
00

5. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.

6. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.
Hacerm
e su
amigo
¿Redes
sociales
?
¡Correo
de
empresa!

7. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.
To/FromTo/From
AsuntoAsunto
ContenidoContenido
AdjuntosAdjuntos
¿Qué datos tengo?

8. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.
¿Qué grupos he encontrado?
Entender quiénes
envían/reciben más emails
Usuarios más influyentes
Detectar grupos de redes y
entender sus
características
Analizar comunidades:
cómo se forman, cómo se
agregan integrantes
Detectar evangelizadores
Detectar expertos
Mezcla de comunidades
Hombres bisagra
Agregación multiescala
Normalized Cuts
Max-flow min-cut algorithm
To/FromTo/From
AsuntoAsunto

9. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.
¿De qué hablan en esas comunidades?
To/FromTo/From
AsuntoAsunto

10. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.
¿De qué hablan en esas comunidades?
To/FromTo/From
AsuntoAsunto

11. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.
¿De qué hablan en esas comunidades?
To/FromTo/From
AsuntoAsunto

12. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.
Online vs offline methods
Detección de
grupos
¿de qué se habla
en cada grupo?
Perfiles más
influyentes
Modelos
clasificación
Detección de
anomalías
Evolución de
conversaciones
Evolución de las
comunidades

13. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.

14. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.
Muchas gracias
Big Data Spain 2015
Miguel Romero (@donkelito)
Alberto de Santos (@adesantossierra)
Analytics and Data Management, Enterprise Services