Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
DataLux is an innovative platform designed for effective data management and analytics, specifically created to tackle various data-related issues while facilitating real-time decision-making. Equipped with user-friendly plug-and-play adaptors, it enables the aggregation of extensive data collections and offers the capability to collect and visualize insights instantaneously. Utilize the data lake to anticipate and drive new innovations, while ensuring that data is stored in a manner conducive to modeling. The platform allows for the development of portable applications by leveraging containerization, whether in a public cloud, private cloud, or on-premise environment. It seamlessly integrates diverse time-series market data and inferred information, including stock exchange tick data, market policy actions, relevant cross-industry news, and alternative datasets, to derive causal insights regarding stock markets and macroeconomic factors. By providing valuable insights, DataLux empowers businesses to shape their decisions and foster product innovations effectively. Additionally, it supports interdisciplinary A/B testing throughout the product development lifecycle, from initial ideation to final decision-making, ensuring a comprehensive approach to enhancing design and engineering processes.
Description
Begin your top-down evaluation with a comprehensive view of a sample Data Platform, allowing you to navigate through different areas and uncover their connections to various organizational data. From the transformation of a supply chain's business model to the implementation of Enterprise Data Platform strategies in a banking institution, there are numerous real-world examples demonstrating the effectiveness of Indyco as a data modeling tool. This initiative significantly bolstered the data culture within a prominent player in the food and agriculture sector in Italy, ultimately facilitating the advent of self-service reporting. Business users began engaging with the Conceptual Model displayed on a large screen, collaborating with IT teams during co-design sessions focused on refining their Data Platform. Additionally, a bank successfully established best practices for Data Platform design by utilizing Indyco, which included elements such as conceptual modeling, automated documentation, and the creation of a business glossary. Thus, the integration of these practices not only streamlined processes but also fostered an environment where data-driven decision-making could thrive.
API Access
Has API
No
API Access
Has API
No
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
Yes
Vendor Details
Company Name
Vivorbis
Founded
2016
Country
Hungary
Website
www.equinox.is/solutions
Vendor Details
Company Name
Indyco
Founded
2013
Country
Italy
Website
www.indyco.com
Product Features
Big Data
Collaboration
No
Data Blends
Yes
Data Cleansing
Yes
Data Mining
No
Data Visualization
Yes
Data Warehousing
Yes
High Volume Processing
Yes
No-Code Sandbox
No
Predictive Analytics
Yes
Templates
No
Product Features
Big Data
Collaboration
Yes
Data Blends
No
Data Cleansing
No
Data Mining
No
Data Visualization
Yes
Data Warehousing
Yes
High Volume Processing
No
No-Code Sandbox
No
Predictive Analytics
No
Templates
No