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What is Inzata Analytics?

Inzata Analytics is a comprehensive data analytics software solution driven by artificial intelligence. It seamlessly converts raw data into actionable insights through a unified platform, allowing you to establish your complete data warehouse in just minutes. With more than 700 data connectors, Inzata simplifies and accelerates the process of data integration. Its patented aggregation engine ensures that pre-blended, blended, and organized data models are available in mere seconds. The innovative InFlow tool enables users to automate data pipeline workflows, facilitating real-time updates for data analysis. Additionally, you can utilize fully customizable interactive dashboards to showcase your business intelligence effectively. By harnessing the capabilities of Inzata, businesses gain the advantage of real-time analytics, enhancing their agility and ability to respond to changing market conditions. This transformative approach empowers organizations to make informed decisions swiftly and efficiently.

What is Indyco?

Start your top-down evaluation by gaining an extensive overview of a sample Data Platform, which will enable you to explore various domains and reveal their interconnections with different organizational data. The transformation of a supply chain's business model and the application of Enterprise Data Platform strategies in a banking environment are just a few examples that highlight the practical benefits of using Indyco as a data modeling tool. This initiative notably enhanced the data culture within a leading entity in Italy's food and agriculture industry, paving the way for self-service reporting capabilities. Business users actively engaged with the Conceptual Model presented on a large display, working alongside IT teams during collaborative design sessions aimed at refining their Data Platform. Furthermore, a bank effectively established best practices in Data Platform design by leveraging Indyco, incorporating aspects such as conceptual modeling, automated documentation, and the formulation of a business glossary. Consequently, the amalgamation of these practices not only optimized operations but also nurtured a conducive atmosphere for data-driven decision-making, ultimately leading to transformative outcomes across the organization. The commitment to data excellence became a cornerstone of their strategic initiatives, fostering innovation and responsiveness in a rapidly changing market landscape.

What is Azure Analysis Services?

Leverage Azure Resource Manager to quickly create and deploy an Azure Analysis Services instance, which allows for the efficient backup and restoration of your existing models to the cloud platform, thus taking advantage of its scalability, flexibility, and management features. This service can be easily adjusted in terms of scale—whether you need to increase, decrease, or temporarily halt operations—ensuring that you only pay for the resources you actually use. By integrating data from various sources into a unified and user-friendly BI semantic model, you can promote clarity and ease of access. This method enhances self-service capabilities and encourages data exploration among business users by simplifying both the presentation of data and its underlying structure. As a result, the time needed to generate insights from large and complex datasets is significantly reduced, while quick response capabilities ensure that your BI solutions meet the needs of business users and adapt to changing requirements. Additionally, you can connect to real-time operational data through DirectQuery, keeping you informed about the dynamics within your organization, and utilize your preferred data visualization tools to bring these insights to life, fostering a deeper understanding of your data landscape. This comprehensive approach not only supports better decision-making but also encourages a culture of data-driven insights throughout the organization.

Media

Media

Media

Integrations Supported

Microsoft Power BI
AnalyticsCreator
Azure Marketplace
Azure Resource Manager
Bold BI
Data Sentinel
Google Analytics
Microsoft 365
Microsoft Azure
Microsoft Entra ID
Microsoft Excel
Peaka
SQL Server
Salesforce Data 360
StarfishETL
Tableau
Visual Studio

Integrations Supported

Microsoft Power BI
AnalyticsCreator
Azure Marketplace
Azure Resource Manager
Bold BI
Data Sentinel
Google Analytics
Microsoft 365
Microsoft Azure
Microsoft Entra ID
Microsoft Excel
Peaka
SQL Server
Salesforce Data 360
StarfishETL
Tableau
Visual Studio

Integrations Supported

Microsoft Power BI
AnalyticsCreator
Azure Marketplace
Azure Resource Manager
Bold BI
Data Sentinel
Google Analytics
Microsoft 365
Microsoft Azure
Microsoft Entra ID
Microsoft Excel
Peaka
SQL Server
Salesforce Data 360
StarfishETL
Tableau
Visual Studio

API Availability

Has API

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$0.81 per hour
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Inzata Analytics

Date Founded

2016

Company Location

United States

Company Website

www.inzata.com

Company Facts

Organization Name

Indyco

Date Founded

2013

Company Location

Italy

Company Website

www.indyco.com

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/services/analysis-services/

Categories and Features

Big Data

Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates

Dashboard

Annotations
Data Source Integrations
Functions / Calculations
Interactive
KPIs
OLAP
Private Dashboards
Public Dashboards
Scorecards
Themes
Visual Analytics
Widgets

Data Visualization

Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery

Categories and Features

Big Data

Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates

Categories and Features

Big Data

Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates

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