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Visible Analyst

by Visible Systems · Since 2007
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ActiveAvailable globallyCloud
Quick facts
VendorVisible Systems
Year launched2007
StatusActive
LocationVisible Systems Corporation 24 School Street, 2nd floor Boston, MA 02108
Countries servedGlobal
Languages10
Integrations
Free tier
Free trial
Contact salesYES

About Visible Analyst

Visible Analyst is a data modeling software from Visible Systems that supports the design and visualization of complex data structures. It combines data flow diagrams, entity-relationship modeling, and object-oriented modeling to help users accurately represent and manage their data requirements. This software allows users to generate documentation and reports automatically, facilitating clearer communication among stakeholders. Additionally, it provides version control features to manage changes and evolution of data models over time. Key capabilities: data flow diagramming entity-relationship modeling object-oriented design automatic documentation generation version control Best for: data analysts and database designers that need to create and manage comprehensive data models.

Visible Analyst by Visible Systems is a comprehensive data governance and modeling software designed to support organizations in managing complex data architecture, process modeling, and system design. The primary purpose of the software is to bridge the gap between business and IT by providing a shared platform for enterprise architects, compliance managers, and data governance professionals. It helps streamline the documentation, analysis, and visualization of enterprise data assets and processes. Key features include data modeling, process modeling, requirements analysis, and database design tools, all bundled into a single environment that encourages collaboration and regulatory compliance. The user interface of Visible Analyst is functionally oriented, offering a clean workspace tailored toward experienced professionals such as IT architects and analysts. While the interface may initially seem dense to beginners, it becomes intuitive with use, especially for users familiar with UML, ER modeling, or structured systems design. Navigation is largely project-driven, with well-defined modules such as data flow diagrams, entity-relationship diagrams, and system structure charts available within a structured layout.

Pros & Cons

What users like
  • +Democratizes Project Data: Makes project data accessible and helps understand change impact.
  • +Fast Setup & Integration: Uses industry templates and connects to many data sources quickly.
  • +Actionable Insights: Provides KPI-driven, context-based insights for better decisions.
  • +Collaborative & Scalable: Supports team-based work on a high-performance cloud platform.
What users flag
  • Feature Clarity: Some overlap with other products from the same vendor.
  • No Clear Pricing: Specific costs for this "Project" solution aren't listed.
  • Implementation Effort: Integrating diverse data and strategy still requires user effort.

Features

Key features

Democratized Project Data
Aims to make project data easily accessible and understandable across the organization.
Impact of Change Understanding
Helps visualize and understand how changes affect project outcomes.
Industry Project Templates
Provides pre-built templates for various industries (e.g., Insurance, Retail, Finance) to jumpstart project goal definition and save time/money.
Cross-System Data Integration
Easily links and cross-references project data from spreadsheets, legacy systems, new applications, and private/public cloud sources.
KPI-Driven Cost & Benefit Analysis
Enables measurement of project costs and benefits by tracking business outcomes against Key Performance Indicators (KPIs).
Context-Based Insights & Iterative Querying
Derives powerful insights by allowing users to run interactive queries and drill down into data within the context of their project strategy.
Collaborative Data Sharing
Facilitates easy sharing and discussion of project insights among team members to enable more informed collective decisions.
Cloud-based, High-Performance Architecture
Built on AWS CloudFormation and leverages Starburstdata Trino for high-speed, in-memory processing while keeping physical data at its source.

Additional features

Project Data Democratization
Makes project data more accessible and consumable for all relevant stakeholders.
Change Impact Analysis
Provides visibility into the effects of various changes on a project.
Industry Templates
Offers ready-to-use templates for defining project goals, objectives, and strategy across diverse sectors (e.g., Insurance, SupplyChain, Retail, Finance, Healthcare, Entertainment).
SMART Goal Methodology Integration
Guides users to define project goals that are Specific, Measurable, Attainable, Relevant, and Time-bound.
Strategic Objective Setting
Helps create project objectives aligned with overall strategy, considering multiple perspectives and using a standardized format.
Strategy Measurement with KPIs
Supports defining project strategy along with associated KPIs or metrics to gauge effectiveness.
Data Discovery & Cataloging
Facilitates finding relevant data and cataloging it for future reuse in the context of project strategy.
Broad Data Source Connectivity
Connects to a wide array of data sources including MS Excel, MS Word, Google Sheets/Docs, Snowflake, Redshift, Teradata, ORACLE, MySQL, SQL Server, DB2, SAP, Hive, Cassandra, MongoDB, PostgreSQL, and Kafka.
Pre-built Connectors
Utilizes existing connectors for visualizing data models and understanding data relationships and classifications.
Intuitive Querying
Enables fast, frequent, and interactive querying of databases.
Guided Data Exploration
Helps users understand "what to ask first" and "what to ask next" for effective data drill-down.
Data Trustworthiness
Promotes trust in data by applying business rules during analysis.
Beyond Prescribed Data Discovery
Facilitates discovering data not typically found within standard organizational systems.
Team Collaboration Features
Allows for fluid teamwork, speeding up communication and collective decision-making.
FAIR Principles Benefits
Highlights benefits of data democratization aligning with Findable, Accessible, Interoperable, and Reusable data.
Knowledge Yield
Helps generate more knowledge from insights, including details on data generation, processing, publication history, and source.
Project Transparency & Reusability
Promotes transparency in projects and allows for recomposing and reusing business models and definitions across future projects.
Common Vocabularies & Ontologies
Supports the use of standardized vocabularies, ontologies, and glossaries.
Contextual Data Discovery
Ensures data is discovered and understood within its proper business context.
Cloud-based Platform
Runs on a cloud-based architecture, specifically leveraging AWS CloudFormation.
High-Speed Data Processing
Utilizes Starburstdata Trino for high-speed queries and in-memory processing.
Separation of Storage from Processing
Physical data remains at its source, minimizing data movement and maximizing performance.
High-level Mapping Algorithms
Features advanced algorithms for mapping to diverse physical data sources.
Free Getting Started Option
Offers a free and easy way to begin using industry templates.

Pricing

Free trial
Free version
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Countries & Languages

Global
Countries served
10
Interface languages
6
Billing currencies

Interface languages

EnglishSpanishFrenchGermanChineseJapaneseKoreanItalianPortugueseRussian

Billing currencies

🇺🇸USD🇪🇺EUR🇬🇧GBP🇦🇺AUD🇨🇦CAD🇯🇵JPY

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