Case Study: Driving Data Transformation in Event Management

Impact Section

Driving Data Transformation in Event Management

A prominent Event Planning and Management Firm faced significant operational challenges exacerbated by the COVID-19 pandemic, which heavily impacted the events industry. This led to substantial layoffs within their IT and Data teams, further straining their capabilities.

Prior Process Limitations: The firm operated with an incomplete on-premise data warehouse that was inadequate for meeting evolving business requirements. This resulted in data quality issues and a reliance on basic, limited reporting and analytics. Their mature Business Analyst community lacked direct, self-service data access, leading to bottlenecks and inefficiencies. Furthermore, Senior Leadership struggled to leverage data effectively for critical business insights and decisions, hindering strategic agility in a rapidly changing market. The existing setup prevented proactive, data-driven management of events and workforce.

Solution Section

Impact

The limitations of the existing data infrastructure, coupled with the pandemic's fallout, led to:

Haversine Distance
Operational Inefficiencies:
High manual effort in data preparation and reporting.
Google Maps API
Suboptimal Decision-Making:
Inability to derive actionable insights, impacting event profitability and resource allocation.
AI Recommendation Engine
Reduced Agility:
Slow response to market changes and client demands due to poor data visibility.
AI Recommendation Engine
Increased Vulnerability:
Inadequate data infrastructure amplified the business disruption from external events like COVID-19.
Impact Section

Solution & Transformed Process

Through a comprehensive 14-week engagement, the firm embarked on a strategic data transformation journey. The solution involved deep collaboration across all business lines and IT departments.

Transformed Process: The engagement began with extensive sessions involving Executive Management, Senior Leadership, and Middle Management from each department to align on data vision and requirements. A thorough assessment defined the firm's current data maturity, followed by a detailed gap analysis to identify critical areas for improvement. This structured approach culminated in the definition of a 3-year data strategy and technology roadmap. This roadmap outlined key technology initiatives with high-level investment plans, designed to transform the firm into a truly data-driven Event Management company. The transformed process prioritizes centralized, high-quality data, accessible through self-service tools, enabling agile decision-making and operational excellence.

Business Benefits Section

Business Benefits

The implementation of the data strategy and technology roadmap is projected to deliver significant quantifiable benefits:

Tech Dormancy Reduction
Enhanced Decision-Making:
A clear roadmap for data-driven insights is expected to increase event profitability by 10-15% through optimized resource allocation and targeted marketing strategies.
Customer Satisfaction
Improved Operational Efficiency:
Streamlined data access and quality are anticipated to reduce manual data preparation and reporting time by 20-30%, freeing up valuable resources.
Technician Utilization
Cost Optimization:
Strategic technology investments are projected to lead to a 5-10% reduction in IT operational costs related to data management over the next three years.
Technician Utilization
Future-Proofing:
A defined Roadmap and Future Architecture provides strategic clarity, ensuring optimized budgeting for technology investments and mitigating future technical debt.
Technician Utilization
Competitive Advantage:
The recommended short-term, medium-term, and long-term initiatives ensure continuous improvement and adaptation, solidifying the firm's position as a leader in data-driven event management.
Technology Stack

Technology Stack

BI Tools
Inbuilt applications (Event Execution, Workforce Management)
Data Services
Salesforce
UI/UX
Microsoft Data Stack
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