Business and Data Strategy - Digital Transformation, Building Digital Platforms for Success
Data Management - Based on DCAM: The Data Management Capability Assessment Model
Business and Data Architecture
Data Security and Data Privacy - Covering security and privacy everywhere You Have Data
A data strategy is a long-term plan that defines the technology, processes, people, and rules required to manage an organization's information assets. All types of businesses collect large amounts of raw data today. However, they need a well-thought-out data management and analysis plan if they want to use this information to make informed decisions. A data strategy outlines an organization's long-term vision for collecting, storing, sharing, and usage of its data.
Data Management addresses the strategies, organizational structures, technology, and operational best practices needed to drive Data Management across your organization successfully and ensures your data can support digital transformation, advanced analytics such as AI and ML, and data ethics.
Business architecture defines the processes required to meet the objectives of the business. Data Architecture is the strategy and execution of how data is designed (identified and described) to support the business objectives. Data Architecture includes the following topics:
Data Domains/sub-domains, Business Glossary, Taxonomy, Semantics, Classification, Data Catalog, KPI, KBI, Data Lineage
Data privacy is the branch of data management that deals with handling personal data in compliance with data protection laws, regulations, and general privacy best practices. Ensuring data privacy involves setting access controls to protect information from unauthorized parties, getting consent from data subjects when necessary, and maintaining data integrity.
Design thinking is a powerful approach to new product development that begins with understanding unmet customer needs. It’s a human-centered design process that approaches problem-solving with understanding the user needs. Design thinking encompasses concept development, applied creativity, prototyping, and experimentation. When design thinking approaches are applied to business, the success rate for innovation has been seen to improve substantially.
Data Quality - Digital Transformation, Building Digital Platforms for Success
Data Migration - ERP, CRM migration on-premises, Saas applications.
ETL Platform Migration - Migrate legacy ETL (Informatica, Data Stage) to Talend
Data Privacy - Implementing Data Security and Data Privacy Policies and Control with securiti.ai
Data Catalog - Building interactive Data Catalogs, Taxonomies, Domains, Classifications, Semantics