Prajakta Talathi
Data Strategy and Performance Measurement Expert
Mississauga, Canada
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Prajakta Talathi is a Strategic Analytics and Marketing Performance leader with over 16 years of experience across FinTech, consulting, and the services industry. She specializes in building enterprise-wide reporting and analytics ecosystems that enable organizations to make faster, data-driven decisions.
Her work focuses on optimizing acquisition marketing funnels, developing forecasting and planning models, and delivering channel and segment performance measurement frameworks that improve marketing efficiency and business growth. Prajakta is also deeply involved in data modernization initiatives, helping organizations transition from legacy reporting environments to scalable, cloud-based data and analytics platforms that support real-time insights and advanced analytics.
She is known for bridging the gap between technical data teams and business leadership, including the C-suite, translating complex analytics into actionable strategic insights. Prajakta has led the transformation of traditional reporting functions into intelligent, cloud-enabled, self-serve platforms by leveraging automation and AI—enabling faster strategic planning, improved decision-making, and greater operational agility.
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Beyond Beautiful Dashboards: An Executive Analytics Case Study in Better Decision Making
Organizations have invested heavily in modern data platforms, cloud analytics, and AI, yet executive decisions are still often driven by fragmented reports, conflicting metrics, and intuition rather than trusted insights.
This session presents a practical case study showing how an executive dashboard can evolve from a collection of visualizations into a true decision-support system.
Using a realistic enterprise scenario inspired by financial services and marketing analytics, we'll walk through the redesign of an executive dashboard—from identifying why traditional dashboards fail to building an experience that helps leaders answer business-critical questions with confidence. Along the way, we'll explore KPI selection, business context, executive storytelling, predictive analytics, and design principles that help transform data into meaningful business decisions.
Rather than focusing on dashboard features or visualization techniques alone, this session demonstrates how analytics teams can better align reporting with executive thinking, enabling faster, more confident, and more actionable decisions. While the concepts are technology-agnostic, attendees will see how they can be applied within modern Microsoft analytics ecosystems, including Power BI and Microsoft Fabric.
Attendees will leave with a practical framework they can immediately apply to improve executive reporting, increase stakeholder trust, and design analytics experiences that drive measurable business outcomes.
Forecasting That Stakeholders Trust: Building Predictive Analytics for Better Business Decisions
Forecasting models are becoming increasingly sophisticated, yet many organizations still struggle to turn predictive analytics into trusted business decisions. The challenge is rarely the model itself—it's building confidence in the forecasts and ensuring stakeholders understand, trust, and act on the insights.
This session explores the principles behind developing forecasting solutions that business leaders can confidently use for planning, budgeting, and strategic decision-making. Drawing on real-world experience delivering enterprise forecasting initiatives, we'll examine the common reasons predictive models fail to gain adoption and discuss practical techniques for improving transparency, governance, and stakeholder confidence.
Using realistic business scenarios, we'll cover how to communicate uncertainty, balance model accuracy with explainability, select meaningful business drivers, and integrate forecasts into executive reporting. We'll also discuss how modern analytics platforms and AI capabilities are enabling organizations to move from static forecasting to continuous, decision-ready planning.
Attendees will leave with practical approaches for designing forecasting solutions that are technically sound, business-focused, and trusted by stakeholders across the organization.
The TRUST Forecasting Framework
Transparency
Reliability
Understandability
Stakeholder Alignment
Timely Decisions
Prajakta Talathi
Data Strategy and Performance Measurement Expert
Mississauga, Canada
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