-
Our Services
Data & Analytics Strategy
Management & Governance
Management & Governance
Data Integration & Engineering
Data Integration & Engineering
Modern Data Ecosystems
Analytics & Data Science
Analytics & Data Science
Artificial Intelligence
- About
News & Resources
Resource
WEBINAR | Generative BI: The Power of GenAI Unleashed in Analytics
Join Amplifi and Pyramid Analytics as we discuss the cutting-edge topic of Generative BI - a transformative approach to business intelligence that combines the power of AI with data analytics to deliver faster, smarter insights. Resource
Video Series: Episode 7 | “MDM is too big and complex”
Blog
Case Study | Cooke Aquaculture charts a course for successful multi-Domain MDM
Blog
Case Study | Bankers’ Bank launches successful ERM product for community banks
Bankers’ Bank partnered with Amplifi to build a tailored, easy-to-use ERM solution for community banks - boosting risk visibility, data trust, and client engagement. Blog
Voices | The rise of Microsoft Purview
Learn how Microsoft Purview can enhance your organisation’s data governance, boost data quality, and streamline compliance. Amplifi, a Microsoft Accredited Partner, offers the expertise to help you get started with Purview and unlock its full potential. Blog
Voices | 5 ways to design your data ecosystem for change in a continuously evolving world
Matt Harris, Practice Director – Modern Data Ecosystems at Amplifi discusses how modern data ecosystems can leverages AI, composable architectures, and cloud computing to drive organisational success. Read on to discover strategies for embracing and managing change effectively. Blog
Article | Top 5 benefits of standardizing your data science workflow with CRISP-DM
Standardizing data science workflows is essential for driving efficiency, consistency, and business impact. Frameworks like CRISP-DM provide a clear, repeatable structure that improves collaboration, streamlines project delivery, and ensures data science initiatives stay aligned with organizational goals. BlogArticle | Top 5 benefits of standardizing your data science workflow with CRISP-DM
Standardizing data science workflows is essential for driving efficiency, consistency, and business impact. Frameworks like CRISP-DM provide a clear, repeatable structure that improves collaboration, streamlines project delivery, and ensures data science initiatives stay aligned with organizational goals. Resource
Guide | Furniture: 5 trends driving modern data management
