MI SOLUTIONS » Overview

Using proven methods and state-of-the-art technologies, Meta Informatix works closely with you to develop custom, end-to-end solutions that enable you to share your company’s knowledgebase with the members of your organization.

Meta Informatix’s BIT Foundational Architecture Framework™ is central to its approach for integrating an enterprise’s data assets, implement business intelligence initiatives, identify reusable solution sets, and improve its operations that result in better outcomes for all stakeholders. With improved accessibility to integrated, accurate and relevant information, your company can begin to answer strategic and tactical business questions vital to its success. 

The BIT Foundational Architecture Framework™ is a consolidation of principles, business and technical models, and guidelines that create a template to develop an enterprise business, information and technical architecture for the business.

The BIT Foundational Architecture Framework™ consists of three interrelated architectures:

• Business Architecture
• Information Architecture
• Technical Architecture

Click here  for an overview of the BIT Foundational Architecture Framework™.  PDF(120K)

Complementing the BIT Foundational Architecture Framework™, Meta Informatix offers thought leadership and solutions to its customers in the following areas:

• Developing a Concept of Operations detailing the "current-state" business operations and "future-state" transformation of enterprise information architectures to meet the needs of stakeholders and respond to enablers (e.g., new policy, legislation and technology) that drive business decisions
• Identifying and defining the business drivers and information needs of an enterprise and mapping them to an enterprise information architecture
• Harmonizing disparate data sources across an enterprise
• Designing conceptual, logical and physical data architecture that is relevant to the enterprise
• Managing the design, development, testing and implementation of large-scale informational and analytical data warehouse projects
• Accessing and investigating the content of data warehouses, data marts, ontology’s, meta data registries and meta data repositories using data mining methods, techniques and tools
• Designing, developing and managing security and privacy strategies using role-based access and control meta-information and meta-data repositories
• Capturing, defining, accessing and reusing data acquisition, cleansing, extraction, transformation and loading methods and techniques to manage data across an enterprise’s technical architecture
• Distributing, exchanging and synchronizing meta-information and meta-data across an enterprise and with other external organizations
• Facilitating and/or developing an enterprise-wide strategy and action plan for developing a meta-information repository and establishing enterprise-wide meta-information and meta-data management policies and standards
• Designing and developing centralized and distributed meta-information and meta-data repositories supported by a complement of meta-data management tools, browsers and structured query tools to enable users to query, access and mine the data assets of the enterprise
• Designing and developing enterprise-wide semantic meta-models that provides the architectural “road-map” for building meta-data registries, meta-data repositories, ontology’s, data warehouses and subject-area data marts