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.
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!!
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
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
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
Notas del editor
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.