In today’s data-driven world, effective data management is the backbone of any successful business strategy. It enhances decision-making, optimizes operations, and drives growth by transforming raw data into actionable insights. At LED-AI, we take this a step further with our cutting-edge solutions tailored to your unique needs. Our expertise ensures seamless data integration, high-level security, and real-time analytics, empowering your company to stay ahead of the curve.
We have a broad network of Data and AI experts ready to assist you, working under the full supervision of Umar Latif. LE Data&AI stays abreast of the latest trends and developments in data management and AI. Beyond advisory and support to enhance your data management and AI adoption, we help identify the right tools to ensure your business’s success. With a keen focus on assurance and control, we minimize your data risks while implementing our advised changes.
Our approach is informed by best practices from DAMA DMBOK, the EDM Council DCAM framework, and research by Gartner and other reputable sources. See more about DAMA and EDM Council DCAM below.
Partner with LED-AI to unlock the true potential of your data and propel your business to new heights.
LED-AI follows DAMA DMBOK when providing service to our partners.
The Data Management Body of Knowledge (DMBOK), developed by DAMA International, is a comprehensive framework that outlines the best practices, principles, and processes for effective data management. It serves as a guide for data professionals, providing a standardised approach to managing data as a critical enterprise asset.
The DMBOK covers 11 core areas, including Data Governance, Data Architecture, Data Modelling & Design, Data Storage & Operations, Data Security, Data Integration & Interoperability, Documents & Content, Reference & Master Data, Data Warehousing & Business Intelligence, Metadata, and Data Quality.
It offers detailed best practices for each knowledge area, helping organisations implement effective data management strategies.
The DMBOK aims to standardize data management practices across different industries, ensuring consistency and reliability.
The DMBOK includes the DAMA Wheel, a visual representation of the interconnected knowledge areas, with Data Governance at its centre.
The EDM Council’s Data Management Capability Assessment Model (DCAM) provides an industry standard framework for data governance. It defines the scope of capabilities required to establish, enable, and sustain a mature data governance discipline. This model ensures that organisations can effectively manage their data, supporting digital transformation and advanced analytics.
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Hello, my name is Umar Latif, founder of LE Data & AI, in short LED-AI. In my view, the future of businesses lies in embracing AI. It’s not just a trend—it’s a transformational force. But to truly harness its power, effective data management is essential.
