Las 10 tendencias principales de BI para el 2018 - Carloz Díaz
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El ritmo y la evolución de las soluciones de inteligencia de negocios implican que lo que hoy funciona podría requerir ciertas modificaciones el día de mañana.
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Las 10 tendencias principales de BI para el 2018 - Carloz Díaz
- 1. BIG DATA Agosto 25 y 26 | Lima – Perú 2018 ANALYTICS SUMMIT #BIGDATASUMMIT2018
- 2. Las 10 tendencias principales de inteligencia de negocios para el 2018 CARLOS EDUARDO DIAZ MENDOZA LATAM BUSINESS DEVELOPMENT ITPERFORMA.COM
- 3. Las 10 tendencias principales de Inteligencia de Negocios para 2018 El ritmo y la evolución de las soluciones de inteligencia de negocios implican que lo que hoy funciona podría requerir ciertas modificaciones el día de mañana. Entrevistamos a clientes y a miembros de Tableau para identificar las 10 tendencias que están teniendo mayor impacto y de las cuales se hablará en 2018, desde el procesamiento del lenguaje natural hasta el crecimiento del aseguramiento de los datos. Ya sea una superestrella de los datos, un héroe de TI o un ejecutivo que está creando su propio imperio de BI, estas tendencias destacan las prioridades estratégicas que podrían ayudar a llevar a su organización al siguiente nivel. EnTableau,cada año analizamos lo más destacado del sector. Estedebateofrececomo resultado una listacon las tendencias principales de Inteligencia de Negocios parael año siguiente. Acontinuación, presentamos nuestras predicciones para el año 2018.
- 4. 1. No le tema a la Inteligencia Artificial
- 5. 2. El Impacto de las Humanidades
- 6. 3. La Promesa del Procesamiento del Lenguaje Natural
- 7. 4. El debate sobre la multiplicidad de Nubes
- 8. 5. El Surgimiento del Director de Datos (CDO)
- 9. 6. Participación Colectiva en Gobierno de Datos
- 10. 7. El aseguramiento de los Datos
- 11. 8. La Función del Ingeniero de Datos
- 12. 9. La Ubicación de las Cosas (IoT)
- 13. 10. La Inversión del Sector Académico
- 14. PersonasQuerer Poder Querer Poder Excel / Access Expertís Velocidad a Insight (Horas/Minutos) Fabrica Reportes Velocidad a Opinión (Semanas/Meses ) Tiempo Procesos BI Tradicional Auto Servicio Querer Poder Velocidad a Opinión (Horas/ Días) Manual y Repetitivo VULNERABLE Vlookups / Pivot Tables / Charts / PPT Dashboards / Reportes Ad Hoc Analysis Anatomía del análisis de datos y toma de decisiones itPerforma SAS 2017.All rights reserved. / Page 10
- 15. Metodología de Implementación: DriveUTILIZACIÓN DE METODOLOGÍAS ÁGILES DE INTELIGENCIA DE NEGOCIOS Los principios rectores de los métodos ágiles son los siguientes: Las personas están por encima de los procesos y las herramientas. El software de trabajo está por encima de la documentación exhaustiva. La colaboración está por encima del cumplimiento con los requisitos. La respuesta al cambio está por encima del seguimiento de un plan. La estructura de datos es clara? Se requieren clarificaciones? No estaba contemplado en el diseño inicial? Fecha estimada de Entrega?.... ASAP!!
- 17. Cronograma de Proyecto (Alto Nivel) doneMilestone Go LivePhase Legend: Legend: Duration Milestone today Go Live
- 19. “Etapas” del Proyecto 0 2 4 6 8 Weeks Mejores Prácticas Post Productivas: Desarrollo de Grupo de Usuarios Interno Asegurar involucramiento de usuarios en la Comunidad Tableau, Bases de Conocimiento y Foros Identificación regular de innovaciones y buenas practices Involucrar servicios Tableau para “Tune-ups”, entrenamiento avanzado, y mejores practicas de visuzalización Collect initial performance benchmark data Set-up Server security model, SSO integration, etc. Training and initial prototyping: 1-2 weeks Installation of Tableau Desktops and Server Roll out initial dashboards in collaborative “UAT” phase Quick response team available for training and iteration on dashboards Review performance characteristics, tune Formal “Go-Live” Actividad de Negocio Actividad Semi Técnica
- 21. BI Moderno con Tableau
- 22. The Data Opportunity Extracting value from the data deluge
- 23. Flexible Transforma todos los tipos de datos en análisis de autoservicio
- 24. Para todos La facilidad de uso lleva a la adopción en todos los departamentos y en los casos de uso
- 25. Soluciones Analíticas de Principio a Fin Visualiza Fuentes de Datos Accede, Limpia y Prepara datos Predictive Analytics Almacena y consulta cantidades masivas de información Machine Learning, AI Data Streaming BIG DATA! Gobierno de Datos Democratiza el uso de análisis sofisticados +Enriquecimiento Transformación Carga Extrae Text Gobierno de BI & Autoconsumo Modelos Predictivos – Machine Learning Automation
- 26. 2016 2017 Posicionamiento en la Industria 2018
- 28. Gracias! Contacto Carlos Eduardo Diaz M. Gerente Desarrollo de Negocios Latam itPerforma.com cdiaz@itPerforma.com Tel. + 51 1 500 8626 Cel. + 57 3214909943
Editor's Notes
- Hola a todos, bienvenidos a nuestra presentación sobre las 10 tendencias principales de inteligencia de negocios para el 2018
- Reality is that the gap is widening. When you cut through all the marketing and buzz, this is what customers are saying.
- Reality is that the gap is widening. When you cut through all the marketing and buzz, this is what customers are saying.
- Reality is that the gap is widening. When you cut through all the marketing and buzz, this is what customers are saying.
- Reality is that the gap is widening. When you cut through all the marketing and buzz, this is what customers are saying.
- Reality is that the gap is widening. When you cut through all the marketing and buzz, this is what customers are saying.
- Reality is that the gap is widening. When you cut through all the marketing and buzz, this is what customers are saying.
- Reality is that the gap is widening. When you cut through all the marketing and buzz, this is what customers are saying.
- Reality is that the gap is widening. When you cut through all the marketing and buzz, this is what customers are saying.
- Reality is that the gap is widening. When you cut through all the marketing and buzz, this is what customers are saying.
- Reality is that the gap is widening. When you cut through all the marketing and buzz, this is what customers are saying.
- That mission, in 2003, was this: Help people see and understand their data. Today, in 2012, that is still our mission. To help people see and understand their data. It’s a simple mission, yet it’s big, grand, and we believe, important. We want to help people – real people of all kinds. We want to help them see their data – literally. We want to bring it to life in the form of high visual analytics, reports, dashboards and graphics. If you can see a picture of something, you can comprehend it better. From seeing their data, we want them to understand. We want to facilitate how people come to understand their data and then use that understanding. Giving people the freedom to ask questions and get answers is what we’re talking about.
- As Victor Hugo said: “There is nothing more powerful than an idea whose time has come” There is an ever increasing need for people to harness the power of data Data explosion is well-known and a big driver of our opportunity. The average company is already struggling with an immense supply of data – and 5 years from today, companies will have 10 times the amount. An equally important driver is the rapid proliferation of data sources and formats. The last generation of business analytics technology was largely focused on relational databases. These days the challenge is much more sophisticated. Companies want to combine data from spreadsheets and databases yes, but also from cloud sources and online applications and public data and Hadoop and the new generation of fast databases. When properly harnessed, data can be combined and analyzed and shared in ways that deliver amazing improvements. But despite the promise, most people out there just feel stranded.
- We made it flexible. First we give you the option to connect to any kind of data whether that is in spreadsheets and files, databases and cubes or in a data warehouse. We also give you the option to connect to your data live or to pull it in memory. If you have data that updates a lot, you’ll want to always have the freshest data. Use a live connection. Or maybe your company has invested a ton of dollars in a fast, state of the art performing database. You’ll want to leverage that. You can choose either, or you can even toggle between the two, switching between live and extracts as you go. Tableau is flexible and allows you to work with any data in the way that makes sense for your environment.
- We made if for everyone. We made it easy so that anyone would want to adopt it.
- Reality is that the gap is widening. When you cut through all the marketing and buzz, this is what customers are saying.
- Of course we do face competition This summarizes the two major competitive camps and why we win. First are the big stack providers (right). They have been scrambling to release “me too” versions of tableau for years now, w/o much success. There are also direct competitors like QLIK and SPOT These are good companies, and like us they are fundamentally growing the size of the market Here is why we win: Tableau is dramatically ahead on the most important buying criteria for customers. If I were to call out two, it would be Ease of Use and Data Architecture…. Our exceptional Ease of use is enabled by VizQL and our Data Architecture is powered by our Hybrid Data Engine – both of these innovations are unique in the marketplace.