Data-Driven Transformation: Essential Insights for Business Analysts

Thursday 06/06/2024 1:00 am +08

In the era of digital transformation, data stands as the cornerstone of strategic decision-making. However, enterprises across the board grapple with common data-related challenges that hinder their journey towards becoming truly data-driven. This webinar aims to address these pervasive issues by providing actionable insights and strategies for business analysts and data professionals. Key topics we'll explore include:

  • Overcoming prevalent data challenges such as accessibility, duplication, legacy system constraints, and data quality, which impede the ability to derive meaningful insights.

  • Cultivating data-driven maturity by enhancing infrastructure, analytics, and governance across three pivotal enterprise domains.

  • Implementing a structured approach to tackle data-related issues at the intersection of people, processes, and technology, focusing on governance, automation, and usability/access.

  • Promoting end-user adoption of analytics tools through targeted training, pilot programs, and actionable metrics to measure progress.

  • Enhancing data visibility and decision-making through effective use of dashboards and visualization tools, tailored to immediate and future needs.

This session is crafted for business analysts, data scientists, and IT professionals seeking to navigate the complex data landscape within their organizations. Attendees will leave equipped with the knowledge to drive forward a data-centric culture, ensuring that data is not just collected but harnessed to unlock its full potential for strategic advantage.

Earn 1 PDU/CDU when you attend live!


Presented by:

CK

Chris Knotts, Principal Consultant, Technology Transformation Strategies LLC

Chris is an experienced leader in enterprise technology with over two decades in training, coaching, and emergent technology enablement, particularly in project management. He excels in creating transformative technology training programs focused on software development, data environments, and agile methodologies. His expertise encompasses enterprise software engineering, advanced analytics, data engineering, and the application of AI and machine learning in business. Chris combines design thinking and lean technology management to innovate in product development and operational strategies, impacting various sectors such as government, education, and multinational corporations.

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