Corporation Transformando reportes en historias Diego Aguirre Data Science & Business Analytics Client Leader, Spanish South America BIG DATA Summit, Lima. 25 de Agosto de 2018 La evolución de la analítica descriptiva
Corporation 5 Un poco de historia – La Evolución 80s. - Principios 90s Reportes a medida Código estático Lenguaje programación + Lenguaje de consulta Experiencia limitada Alto costo
Corporation 6 Un poco de historia – La Evolución BI tools Usuarios de negocio construyendo reportes Capacidades limitadas Herramientas complejas y poco flexibles 1995 - 2000
Corporation 7 Un poco de historia – La Evolución Dashboards Mejora la experiencia Se mantiene el alto costo BICC Dashboard / Scorecard: Son diferentes 2000-2010
Corporation 8 Un poco de historia – La Evolución 2010- Hoy Self Service Indepencia de IT Power users generando su propio contenido Democratización Fácil de Mantener Experiencia superior
Corporation 9 Self Service - Definición “Self-Service Analytics is a form of business intelligence (BI) in which line-of-business professionals are enabled and encouraged to perform queries and generate reports on their own, with nominal IT support. Self-service analytics is often characterized by simple-to-use BI tools with basic analytic capabilities and an underlying data model that has been simplified or scaled down for ease of understanding and straightforward data access.”
Corporation 11 #1 - No todo es self service “The irony of self-service analytics is that it requires standardization.” Business Users “Many companies that have deployed self-service analytics have become inundated by a tsunami of conflicting reports, spreadmarts, renegade reporting systems, and other data silos.” Data Scientists 2% Usuarios Casuales (Executives, managers, front-line workers) 90% Power users Su función es analizar 10% “Many companies that have deployed self-service analytics have become inundated by a tsunami of conflicting reports, spreadmarts, renegade reporting systems, and other data silos.” 11 Source: Chart data and quotes from “Eckerson Group: A Reference Architecture for Self-Service Analytics”, Wayne Eckerson, Barry Devlin, September 2016 Exploradores de Datos 30% Consumidores de datos 60% Data Analysts 8%
Corporation 12 Enterprise Reporting + Self Service Managed Reporting • Data presentation • Value add by managing the: • Security and Governance • The integrity of the output • Efficient distribution of the output Self-service (Dashboards, Stories) • Data exploration (ad-hoc) • Primary use cases • Answering questions • Brainstorming /socialization of ideas and concepts • Prototyping Platform • Enterprise architecture - security, scalability, integrity • Managed reporting and self service LOB user Skilled user (Power/IT)
IBM Corporation • Los análisis “self service se reducen” a un subconjunto del universo de datos bien conocido por el analista. • La construcción del análisis está influenciada por los conocimientos del analista (acerca del negocio) y el conocimiento de la herramienta. #2 Sesgo Data consumers
Corporation 14 1 4 Smarter Self Service • Análisis guiado • Sugerencia de visualizaciones (a demanda y proactivas) • Preguntas y respuestas • Identificación de correlaciones • Análsis diagnóstico basado en capacidades cognitivas Smarter Self Services IBM Business Analytics
Corporation 16 La evolución del Self-Service S m a r t e r D a t a D i s c o v e r y G o b i e r n o y E n t e r p r i s e R e p o r t i n g C r e a t i v i d a d
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