“Data is a precious thing and will last longer than the systems themselves.” – Tim Berners-Lee
Enterprise Data Management
BIDAT – Business-Information-Data-Application-Technology Framework
Infoflow specialises in coordinating extensive enterprise data management deployments, with a particular emphasis on three crucial areas: architectural design, framework design, and professional services. Infoflow’s methodology is built upon architect design, which involves strategic planning and blueprinting of data management systems that are customised to match the specific demands and goals of each customer. This entails designing strong frameworks that guarantee the ability to handle increased workload, compatibility with other systems, and adherence to the most effective methods used in the business. Framework design refers to the creation of a structural framework that allows for the smooth integration, management, and optimisation of data assets. This involves developing flexible and modular frameworks. In addition, Infoflow’s professional services division provides comprehensive assistance throughout the whole implementation process, delivering expert advice, training, and support to clients to ensure the effective implementation and acceptance of data management systems. Infoflow enables organisations to fully leverage their data, leading to innovation, productivity, and a competitive edge in today’s data-driven environment.
Architecture Design
An effective architecture design for Enterprise Data Management (EDM) is crucial for fully utilizing your data assets. It ensures that data is collected, stored, processed, and accessed efficiently, securely, and with scalability. This ultimately empowers your organization to drive innovation, make informed decisions, and achieve strategic objectives.
An effective Enterprise Data Management (EDM) architecture is crucial for efficient and secure data collection, storage, processing, and access across an organization. Key considerations include understanding the organization’s business objectives, data requirements, regulatory constraints, and technological capabilities. A robust data governance framework is established to define policies, procedures, roles, and responsibilities for managing data assets effectively. The data integration layer involves identifying and categorizing all data sources within the organization, defining the strategy for integrating data from disparate sources, and selecting appropriate integration technologies. The data storage layer includes a scalable and flexible architecture to accommodate various types of data, including structured, semi-structured, and unstructured data. The data processing layer involves designing data processing pipelines, batch and real-time processing, data transformation and enrichment techniques, and data access methods. Security and compliance are ensured through security controls, auditing and monitoring mechanisms, scalability and performance optimization, metadata management, disaster recovery and high availability, data analytics and insights, monitoring and performance management, and capacity planning. By carefully considering these aspects, organizations can design an EDM architecture that meets their current and future data management needs, enabling them to harness the full potential of their data assets for business success.
Framework Design
A robust Enterprise Data Management (EDM) framework is essential for organizational success, as it provides the necessary structure and guidance to effectively utilize data, foster innovation, and accomplish strategic goals with assurance and clarity.
An Enterprise Data Management (EDM) framework is a systematic approach used by organizations to manage their data assets effectively. It includes key components such as data governance, data quality management, master data management, data integration, metadata management, data security and privacy, data lifecycle management, data analytics and business intelligence, data culture and change management, and continuous improvement and governance oversight. These components ensure accountability, transparency, and compliance with regulations, while enabling organizations to derive maximum value from their data assets, improve decision-making, enhance operational efficiency, and maintain regulatory compliance. The framework also includes measures to protect sensitive information, optimize storage resources, and leverage data for insights and decision-making. By implementing these components, organizations can enhance their data management and operational efficiency.
Professional Services
Maximize the capabilities of your data via customized Enterprise Data Management (EDM) professional services, which will assist you in achieving efficient data governance, exceptional data quality, and valuable strategic insights. This will enable your organization to succeed in the era of data-driven decision making.
Enterprise Data Management (EDM) professional services are specialized services offered to help your organizations manage their data assets effectively. These services address specific needs and challenges related to data governance, data quality, master data management, data integration, and analytics. Examples of EDM professional services include data governance consulting, data quality assessment and improvement, master data management implementation, data integration and architecture design, data analytics and business intelligence consulting, metadata management consulting, data privacy and security consulting, and change management and training. These services help organizations establish robust data governance frameworks, improve data quality, implement security measures, and manage organizational change associated with EDM initiatives. By engaging with professional services, organizations can effectively address challenges and achieve their data management objectives.