Scalable, secure, and proven, 3D Cloud is the enterprise 3D platform trusted by Lowe's, Ashley, Macy's, HNI, La-Z-Boy, and more with specialized 3D apps and 3D content management for furniture, kitchen, bath, decking / outdoor, storage, and closets, Build, deploy, and manage all your 3D applications including Web AR, Product Configurators, 3D Room Planners and more -- across all devices and channels. Launch in just 8-10 weeks.
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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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FactoryWiz
FactoryWiz Machine Monitoring serves as a robust intranet solution aimed at improving manufacturing efficiency by offering real-time insights into machinery operations. It gathers and timestamps data from various assets, including CNC machines, robots, and assembly lines, and displays this information through user-friendly dashboards that can be accessed from any internet-enabled device. This system empowers management to make timely, informed decisions and strategize future actions based on historical performance data. Among its notable features is FactoryWizTV, which showcases live statuses of machines—indicating whether they are running, paused, idle, or experiencing alarms—and accommodates different operational modes such as setup and maintenance. The platform also includes customizable dashboards that highlight essential metrics like machine uptime, Overall Equipment Effectiveness (OEE), active jobs, part counts, and reasons for idle time. Furthermore, FactoryWiz offers a variety of predefined reports to monitor productivity, which can be tailored using tools like Crystal Reports and Power BI, allowing for deeper analysis and reporting flexibility. This capability ensures that users can adapt the system to meet their specific operational needs and objectives.
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onePLE
BigLever's exceptional proficiency in guiding organizations toward successful Product Line Engineering (PLE) has led to the development of a comprehensive and repeatable framework for organizational transformation known as onePLE™. The term onePLE signifies our commitment to delivering a singular, all-encompassing solution that encompasses everything necessary to establish, launch, and effectively manage your Feature-based PLE Factory, bolstered by a team of highly trained PLE executives, managers, technical leaders, and practitioners. This innovative approach is designed to cater to organizations of all sizes, whether it be a large enterprise, a division, a business unit, or even a single product line-focused organization. Furthermore, the Asset Supersets, depicted in the bottom left, serve as the shared digital assets for a product line, ensuring that there is no duplication of any asset, thereby maximizing efficiency. In essence, onePLE stands as a testament to our dedication to fostering sustainable PLE practices that drive long-term success.
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