Energy (including electricity, LNG, renewables, offsets) is a complex spend category. Few companies manage their energy spending well enough to capture lowest market rates on secure sources of supply. Our presenters have helped countless companies reduce their costs of energy. They will discuss a five-part strategy to help webinar attendees navigate the upcoming 2025 energy marketplace.

Attendees can expect the following:

• Key questions to answer before beginning the energy journey
• How to develop a formal energy procurement strategy
• Ways to understand and follow the wholesale energy market
• Conduct a regional pricing process that includes all market players
• Ways to verify enrollment and invoice accuracy
• Ongoing – how to monitor markets, reporting and adjusting strategy

Are you ready to expand your network and make meaningful connections? Our virtual speed networking event is the perfect opportunity to meet new people within our growing membership community. In just one hour, you'll have the chance to engage in dynamic, one-on-one conversations with fellow members, exchange ideas, and build valuable relationships. Whether you're looking to collaborate, share insights, or simply make new friends, this is your networking power hour!

Don't miss out on this fun and interactive experience. Come prepared to connect, converse, and create lasting connections.

We all think we know what bad data looks like, but what is it and what are the consequences?

I bet you never knew you needed a COAT for your data, but it will help protect you against all the dirty data that's around. Susan will share real-life examples of dirty data, and the consequences it has on the output, such as decision making, reporting, analytics, AI, and machine learning. She'll also share with you her COAT methodology to help prevent this, as well as learn how to make quick, accurate checks and changes to your own data in excel, regardless of your level of experience, and explain why data accuracy and maintenance is so important and implement best practices for this.

Takeaways:

• The importance of data accuracy
• The consequences of dirty data
• How to ensure data accuracy
• Make sure your data has its COAT on
• How to spot check your data