Loading Events
  • This event has passed.

« All Events

The data advantage: How leading funds accelerate insight, governance and performance

Baker Tilly CPE Webinars

May 28 @ 1:00 pm 2:00 pm EDT

Free 1 CPE credit

Identify the root causes of unreliable budgeting in senior living operations. Analyze how commitment controls and pre‑GL approvals reduce financial surprises. Apply best‑practice forecasting and procurement processes using Martus + Procurify with Sage Intacct

Advance preparation is not required. There is no cost to attend this webinar. 

CPE credit: One (1) hour total credit   
Level: Overview
Field of study: Specialized Knowledge
CPE host:  Savanah Sendek

Information about CPE eligibility:

Identify the root causes of unreliable budgeting in senior living operations. Analyze how commitment controls and pre‑GL approvals reduce financial surprises. Apply best‑practice forecasting and procurement processes using Martus + Procurify with Sage Intacct

Advance preparation is not required. There is no cost to attend this webinar. 

CPE credit: One (1) hour total credit   
Level: Overview
Field of study: Specialized Knowledge
CPE host:  Savanah Sendek

A certificate of completion will be emailed to you four to six weeks after the event.    

For more information regarding administrative policies such as complaint and refund policies, please email [email protected]

National Registry of CPE Sponsors

Baker Tilly is registered with the National Association of State Boards of Accountancy as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: nasbaregistry.org.

New York, NY 10001 United States
View Venue Website

Leave a Reply

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.