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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 Adaptive Bank in a Box (BiaB)?

The Adaptive Bank in a Box (BiaB) represents an advanced graph-based solution designed for cloud implementation, enabling financial institutions to leverage leading industry practices and relevant content. This platform supports the seamless integration of data and models, bridging the divide between industry benchmarks and an organization's proprietary information, which is crucial for establishing thorough assessments and processes that comply with AML regulations and address data privacy issues. In addition, the Adaptive Business Function Model (ABFM) for Universal Banks delineates all key business activities within the front, middle, and back office sectors of Retail, Commercial, and Investment Banking, providing a detailed view of operations. Furthermore, the Adaptive Business Information Model (ABIM) for Universal Banks delineates fundamental information and data-related business concepts along with their logical characteristics throughout all operational domains. Functioning as a comprehensive data glossary or dictionary, the ABIM can be customized by banks to align with their unique operational contexts, which enhances their flexibility and efficiency in the competitive financial landscape. This all-encompassing strategy not only streamlines banking processes but also cultivates a more profound comprehension of the intricate relationships among various banking operations, ultimately leading to improved overall performance.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

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

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

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Indyco

Date Founded

2013

Company Location

Italy

Company Website

www.indyco.com

Company Facts

Organization Name

Adaptive

Date Founded

1997

Company Location

United States

Company Website

adaptive.com/products/adaptive-biab/

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

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