¿Quién utiliza este software?

Inzata is designed for any business that has collected or currently collects a large amount of data. We have mastered the ability to solve any big data challenge in any industry.

Valoración media

6 opiniones
  • En general 4.5 / 5
  • Facilidad de uso 4 / 5
  • Atención al cliente 5 / 5
  • Funcionalidades 4.5 / 5
  • Relación calidad-precio 4.5 / 5

Detalles del producto

  • Versión gratuita
  • Prueba gratis
  • Implementación En la nube, SaaS, web
  • Formación En persona
    En directo en línea
    Seminarios web
  • Asistencia Horas laborables
    En línea

Datos del proveedor

  • Inzata Analytics
  • http://www.inzata.com
  • Fundada en 2016

Sobre Inzata

Built for medium to large size enterprises that collect a large amount of data, Inzata is a revolutionary data analytics platform for integrating, exploring, and analyzing data of any kind, from any source, at massive scale. Powerful AI-assisted data modeling and a patented analytics engine help users quickly load, blend, and model raw and unstructured data into powerful enterprise data models, actionable real-time analytics, and engaging visualizations.

Funciones de Inzata

  • Análisis de regresión
  • Análisis de sentimientos
  • Análisis de texto
  • Análisis predictivo
  • Descubrimiento de datos
  • Modelado estadístico
  • Procesamiento de grandes volúmenes
  • Visualización de datos

Las opiniones más útiles de Inzata

Inzata Review

Traducir con Google Publicado el 19/10/2018
Phil R.
Director of Technology
Servicios para el consumidor, 2-10 empleados
Ha utilizado el software durante: Más de un año
Fuente de la reseña 
En general
3 / 5
Facilidad de uso
5 / 5
Características y funcionalidades
5 / 5
Asistencia técnica
Relación calidad-precio
Probabilidad de recomendación:
Muy baja Muy alta

Comentarios: Our overall experience with Inzata has been great. Not only have they provided a platform to analyze our data to make better day-to-day decisions, they helped automate daily tasks which is helping scale our business to the next level. Inzata has built a great team that is always there to help when we need it.

Puntos a favor: Inzata allows us to run any report we can think of to analyze our companies data to make better and smarter decisions. You name it and the Inzata platform either already has it or their team of experts is there to help create it or walk you through your alternatives. I also love the fact that I know when we send them an email or give them a call we are going to have our questions answered promptly. Great customer service.

Contras: It is hard to teach team members how to effectively build and run reports. There is definitely a learning curve and without some sort of data or technology background it is hard for the standard user to create and filter the data they are trying to see. It would also be nice to see the ability to manage the data within Inzata easily (Delete records, rename fields, etc.).

'Beyond ETL, In-Zata Brings Unprecedented Power and Functionality to Platform as a Service'

Traducir con Google Publicado el 4/2/2019
Estudios de mercado, 2-10 empleados
Ha utilizado el software durante: 6-12 meses
Fuente de la reseña 
En general
4 / 5
Facilidad de uso
5 / 5
Características y funcionalidades
5 / 5
Asistencia técnica
5 / 5
Relación calidad-precio
Probabilidad de recomendación:
Muy baja Muy alta

Comentarios: Speed and Clarity: We're an analytics company; we have to learn new data sets from new industries all the time. Anyone in this business will tell you that data assembly, prep, and set up consumes 70-80% of effort in developing a solid Predictive Modeling ensemble. We've been Alteryx power-users for 15 years.
We bought 40 hours of professional services from In-Zata and saved ourselves 2- 3 months of ETL drudgery, because In-Zata doesn't do ETL We built a 1000+ column by 2M row flat data set from 15 different source systems in less than 2 weeks.

Puntos a favor: It's beyond ETL, way beyond. Because you never change the source data, you just map. In fact, you don't map it. In-Zata's AI and machine learning do the mapping, which you can always refine and tweak. You can easily return to any previous state in a complex set of joins and calculations .
In-Zata will build and export a data warehouse for you, if your team is most comfortable in a BI environment. But you'll never need to build cubes or re-run aggregations. In one analysis we used geo fields, household and shape area demographics, attitudes, behaviors and transactions and calculated attributes from internal and 3rd party sources. And they all just lined up. Perfectly.

Contras: It's still a young product so some of the UIs aren't as intuitive as they might be. Some of the underlying concepts and constructs were unfamiliar. But the In-Zata team made sure to work through our questions, quickly.

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