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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 ERMES?
ERMES is an all-encompassing application developed based on insights from the SEFIN group, specifically designed to assist in the generation of supervisory reports and matrices for foreign bank branches operating in Italy, as well as for Financial Intermediaries registered in the new SINGLE REGISTER. This tool acts as a protocol to PUMA 2 (Unified Corporate Matrices Procedure), enabling an efficient and comprehensive method for meeting the periodic reporting obligations to the Bank of Italy. Specifically tailored for the Italian branches of foreign banks and for Financial Intermediaries under article 107, along with those governed by article 106 (collectively known as the SINGLE REGISTER), ERMES serves as a robust reporting and communication platform that guides users through every step of the process via its user-friendly yet detailed interface. The application emphasizes flexibility and ease of use, facilitating the adjustment and customization of table structures to cater to the distinct requirements of each user. Additionally, it offers a singular reference documentation for processing, which guarantees consistency and clarity in reporting practices. This forward-thinking approach not only improves the overall user experience but also optimizes adherence to regulatory requirements, ultimately fostering greater efficiency in the reporting process. By enhancing communication and streamlining workflows, ERMES represents a significant advancement in compliance technology for the financial sector.
What is DataLux?
DataLux stands out as a cutting-edge platform tailored for proficient data management and analytics, crafted to address a range of data challenges while enabling swift decision-making. With its intuitive plug-and-play adaptors, users can easily consolidate vast data sets and visualize insights in real time. The platform’s data lake feature allows organizations to forecast and stimulate innovative developments while ensuring optimal data storage for accurate modeling. It facilitates the creation of portable applications through containerization, adaptable for public cloud, private cloud, or on-premises setups. DataLux adeptly integrates a variety of time-series market data and inferred metrics, such as stock exchange tick data, market policy changes, pertinent cross-industry news, and alternative datasets, to extract causal relationships influencing stock markets and macroeconomic variables. By offering these crucial insights, DataLux equips businesses to make informed decisions and drive product innovation effectively. Moreover, it enhances the product development lifecycle by supporting interdisciplinary A/B testing from conception to final decision-making, thus promoting a thorough enhancement of both design and engineering practices. This comprehensive functionality not only streamlines operations but also positions organizations to stay ahead in a competitive landscape.
Integrations Supported
Google Analytics
HID IdenTrust
Microsoft Excel
Microsoft Power BI
Tableau
Integrations Supported
Google Analytics
HID IdenTrust
Microsoft Excel
Microsoft Power BI
Tableau
Integrations Supported
Google Analytics
HID IdenTrust
Microsoft Excel
Microsoft Power BI
Tableau
Integrations Supported
Google Analytics
HID IdenTrust
Microsoft Excel
Microsoft Power BI
Tableau
API Availability
Has API
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
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
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
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
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
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
Sefin
Date Founded
1981
Company Location
Italy
Company Website
ebi.sefin.it/en/software-and-services-for-supervisory-reporting/supervisory-and-matrix-reporting/
Company Facts
Organization Name
Vivorbis
Date Founded
2016
Company Location
Hungary
Company Website
www.equinox.is/solutions
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
Financial Services
Analytics
Branch Optimization
Channel Management
Compliance Management
Customer Engagement
Performance Management
Risk Management
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