Visible Systems Description
Searching for actionable insights within a mass of unstructured data is akin to finding a needle in a haystack. Our skilled technicians excel at identifying subtle trends and patterns woven into that complex fabric. By systematically gathering, cataloging, annotating, and integrating the data, we transform it into a clear and accessible format that aids in making crucial decisions. This process enables us to generate outcomes that reveal actionable insights, paving the way for business expansion. At Visible Systems, we recognize that conventional data analysis tools are tailored to handle data presented in specific formats, yet much of the data we encounter is shapeless, arising from diverse sources. Through data discovery, we have the capability to consolidate and reformat this information from multiple origins, facilitating more efficient analysis. This ensures that the data is presented in an appropriate format, thereby guaranteeing timely and effective deliverables. Furthermore, we acknowledge that the process of data discovery is ongoing, and both historical and newly acquired data hold significant value in driving informed decision-making. Ultimately, our commitment to refining data ensures that businesses can leverage insights from every piece of information available.
Visible Systems Alternatives
Bright Data holds the title of the leading platform for web data, proxies, and data scraping solutions globally. Various entities, including Fortune 500 companies, educational institutions, and small enterprises, depend on Bright Data's offerings to gather essential public web data efficiently, reliably, and flexibly, enabling them to conduct research, monitor trends, analyze information, and make well-informed decisions.
With a customer base exceeding 20,000 and spanning nearly all sectors, Bright Data's services cater to a diverse range of needs. Its offerings include user-friendly, no-code data solutions for business owners, as well as a sophisticated proxy and scraping framework tailored for developers and IT specialists.
What sets Bright Data apart is its ability to deliver a cost-effective method for rapid and stable public web data collection at scale, seamlessly converting unstructured data into structured formats, and providing an exceptional customer experience—all while ensuring full transparency and compliance with regulations. This commitment to excellence has made Bright Data an essential tool for organizations seeking to leverage web data for strategic advantages.
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AnalyticsCreator is a metadata-driven design application for data warehouse automation and data product engineering across the Microsoft data stack.
Its Governed Control Model connects business meaning, data structures, transformation rules, dependencies, lineage and technical implementation in one controlled project model. Data teams design the required architecture in AnalyticsCreator, then generate native Microsoft assets from that design.
Generated outputs can include SQL Server objects, SSIS packages, Azure Data Factory pipelines, supported Microsoft Fabric components, deployment artefacts and Power BI semantic models. AnalyticsCreator supports dimensional, 3NF and hybrid modelling approaches together with ingestion, transformations, delta loading, historisation, Slowly Changing Dimensions, snapshots and repeatable data-processing patterns.
Because generated outputs are native Microsoft technology, no AnalyticsCreator runtime is required in production. Organisations retain ownership of the resulting implementation and can integrate generated assets into Git, Azure DevOps and CI/CD workflows.
Lineage, documentation and dependency information remain connected to the design, helping teams understand change impact before regenerating affected assets.
Design Intelligence extends this governed project context into AI-assisted data engineering by providing authorised AI tools and agents with structured access to metadata, lineage, dependencies and design rules.
Typical use cases include enterprise data warehouse development, Microsoft Fabric adoption, SQL Server and SSIS modernisation, governed Power BI delivery and repeatable data product engineering.
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OpenText Unstructured Data Analytics
OpenText™, Unstructured Data Analytics Products use AI and machine learning in order to help organizations discover and leverage key insights that are hidden deep within unstructured data such as text, audio, videos, and images. Organizations can connect their data at scale to understand the context and content locked in high-growth, unstructured content. Unified text, speech and video analytics support over 1,500 data formats to help you uncover insights within all types media. Use OCR, natural language processing and other AI models to track and understand the meaning of unstructured data. Use the latest innovations in deep neural networks and machine learning to understand spoken and written language in data. This will reveal greater insights.
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Playmaker
Playmaker is an innovative document automation solution that converts unstructured data from a variety of sources—such as PDFs, images, spreadsheets, and web content—into organized, actionable formats. With a library of over 100 pre-designed document workflows, including those for financial statements, purchase orders, invoices, and contracts, it helps users optimize processes involving data extraction, validation, and seamless integration with other software applications. Users have the flexibility to upload documents through email, API, or manual methods, and the platform adeptly transforms this unstructured data into well-organized, tabular formats that can drive workflows in more than 300 different applications. Security and compliance are top priorities for Playmaker, as evidenced by its commitment to storing and processing data solely within the European Union and the United States, along with strict adherence to regulations such as GDPR and CCPA. Additionally, the platform implements robust security measures including AES-256 encryption and role-based access control, ensuring that sensitive information remains protected. This comprehensive approach not only enhances productivity but also instills confidence in users regarding the safety of their data.
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Company Details
Company:
Visible Systems
Year Founded:
1984
Headquarters:
United States
Website:
www.visiblesystemscorp.com/service.htm
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