Got Data, Now What? Identify & Leverage Company’s KPIs & Eliminate Labor-Intensive Data Not Needed

Session Overview:
In today’s data-driven business landscape, companies are often overwhelmed by vast amounts of information. The real challenge lies in leveraging this data effectively. In this session, we’ll explore how to identify and utilize the right Key Performance Indicators (KPIs) that align with your business goals, enabling you to make actionable decisions that drive profitability. We’ll emphasize the importance of selecting KPIs that are specific, measurable, and relevant to your objectives, and show you how to focus on collecting only the data that truly matters.
We’ll also address how to identify labor-intensive data that consumes valuable time and resources without contributing to your success. You’ll learn how to audit your data, streamline collection processes, and eliminate unnecessary metrics that distract from your core goals. By concentrating on the most relevant and actionable data, you can improve efficiency, reduce costs, and make smarter decisions.
By the end of the session, you’ll have a clearer understanding of how to cut through the noise and focus on what truly drives business success. Learn how to transform your data into a strategic asset and use it to make informed decisions that lead to enhanced profitability and growth.
Learning Objectives:
- Focus on High-value KPIs that align with company’s objectives
- Identify and eliminate labor-intensive data that doesn’t add value to business goals
- Use data-driven decision-making without becoming overwhelmed by unnecessary or redundant data.
Speaker: Elaine Ward
Recorded at: Community Summit NA 2025
Type: Breakout Session
Ability Level: 201 – Intermediate
Primary Product: All Products
Tracks: Business Intelligence (BI) & Reporting, Data, Leadership
Terms: All rights reserved by the speaker, Community Summit NA, and Dynamic Communities and cannot be reproduced or distributed without express written consent by the speaker and Dynamic Communities.