CPE Catalog & Events

This course focuses on using the Power Pivot features to enhance data analysis. We will review the 4 features of Power Pivot (data model, calculations, hierarchies and KPI's) and you will learn how you can use each of these features. Although, the majority of the time will be spent on building the data model and using calculations. You will learn how to add data to your data model either directly into Power Pivot or from Power Query. We will discuss the benefits of the data model relationships versus using the VLOOKUP function to access data in different tables. One of the strengths of Power Pivot is the formula language called DAX (Data Analysis eXpressions). We will introduce DAX so that you can use basic DAX formulas to build various calculations in the data model. You will learn the difference between calculated columns and measures as we build these various calculations into our data model. This session is presented using Excel 2019/Office365. Regardless of the version you are using, most concepts covered in this course apply to all versions of Excel.Speaker - Bryan L. Smith, CPA.CITP, CISA

Excel is a popular data analysis tool, yet most users have never learned the basics of data analysis using Excel or the tools that Excel offers to help with data analysis. Those that learned to analyze data using PivotTables, soon learned there were many weaknesses in PivotTables that resulted in elaborate calculations in order to perform simple tasks. In 2010, after much development and little hype, Microsoft released Power Pivot, a new data analytic tool that removed the weaknesses of PivotTables. This single product took Excel from a low-end data analytic tool to one of the most sophisticated and comprehensive tools. Since 2010, Microsoft has continued their development of end-user data analytic tools. This entire suite of products is called Power BI. In this session, we will provide an overview of the various Power BI tools and discuss Microsoft's Power BI Strategy. We will begin by explaining the challenges faced by many accountants when it comes to analyzing data in Excel. You will learn how each Power BI tool reduces the challenges and improves your data analytic skills. You will also gain a complete understanding of when to use which tool. This session is an overview of the various Microsoft Power BI tools and should be your first step in learning the complete set of Power BI tools. As an overview, we will not be teaching the details of each tool but you will receive a thorough understanding of what each tool can accomplish. This session is presented using Excel 2019/Office 365. Regardless of the version you are using, most concepts covered in this course apply to all versions of Excel.Speaker - Bryan L. Smith, CPA.CITP, CISA

This course is an extension of the Power BI series of courses that specifically explores using OLAP formulas and advanced time intelligent functions. OLAP formulas provide the ability to create a calculation in a cell that is based upon the measure in the data model. This powerful tool provides the ability to create calculations in an Excel worksheet without using a PivotTable to perform the calculation. Gone are the days of creating a PivotTable, then using those values in the PivotTable for additional calculations.When using Power BI to build a data model that connects to data files, you may want to know the date of these files. This class teaches you how to create a measure based upon the refresh date of your data. In the class "Power BI - Use Advanced Calculations with DAX Formulas," you learned the basics of time intelligent functions, the ability to calculate measures based upon dates. In THIS course, we will take it to the next step and teach you how to perform many more date-based calculations.This session is presented using Excel 2019/Office 365. Regardless of the version you are using, most concepts covered in this course apply to all versions of Excel.Speaker - Bryan L. Smith, CPA.CITP, CISA

Before you can analyze data, you first must get the data. This course focuses on getting data into Excel using different data sources. Whether your data is text, comma delimited (CSV), reports, Excel, databases, web, applications and/or many others, Excel provides the ability to access that data. You will learn about tools that have been added to Excel that will make accessing that data even easier, such as data models and Power Query (Get and Transform). After this class, you will finally be able to get the data you need to perform data analysis.This session is presented using Excel 2019/Office 365. Regardless of the version you are using, most concepts covered in this course apply to all versions of Excel.Speaker - Bryan L. Smith, CPA.CITP, CISA

What good is data analysis if you can't share it? This course will focus on using Microsoft's cloud-based sharing/publishing platform, PowerBI.com. You will learn the interface as well as the benefits of using PowerBI.com. You will learn how to use PowerBI.com to leverage the work performed in Power Pivot or Power BI Desktop. Using PowerBI.com to create visuals is very similar to Power BI Desktop, so we will only review this feature. If you want detailed instructions on creating visualizations, please attend the Power BI Desktop course. This class can be taken with no Excel or Power BI Desktop knowledge, but some concepts will be a repeat from those classes and will serve as a knowledge reinforcement for experienced users. Many data analysts may create models in Power Pivot or Power BI Desktop, so we will spend time to learn how to share that data with PowerBI.com. This will ensure that everyone is looking at the same data, no matter the toolset. PowerBI.com adds the ability to create and share dashboards, so we will demonstrate how to create visualizations that can be turned into dashboards that allow users to customize their PowerBI.com with dashboards that are meaningful to them. This session is presented using Excel 2019/Office 365. Regardless of the version you are using, most concepts covered in this course apply to all versions of Excel.Speaker - Bryan L. Smith, CPA.CITP, CISA

This course focuses on using DAX (Data Analysis eXpressions) to create advanced calculations in Power Pivot data models. We will review what you learned in "Power BI - Go Beyond PivotTables with Power Pivot" and take your calculations to the next level using advanced DAX formulas. You will learn over 20 DAX functions that will allow you to perform calculations that were not possible with standard Excel. We will also review the use of a date or calendar table that allows us to perform date analysis that was never possible before. This will allow us to use the new time-intelligent functions to perform complex calculations on our data like: month-to-date, quarter-to-date, year-to-date, last year same period, last year-to-date, etc. You will also learn the DAX calculation process in order to proof and validate your calculations. We will be using Power Pivot to create our DAX calculations, however, the process is very similar in Power BI Desktop and the functions and formulas are identical. If you are using Power BI Desktop, you should be able to follow along and learn how to create advanced calculations. This session is presented using Excel 2019/Office 365. Regardless of the version you are using, most concepts covered in this course apply to all versions of Excel.Speaker - Bryan L. Smith, CPA.CITP, CISA

Power BI Desktop is a new stand-alone tool that adds visualization to your data. This course focus on learning the Power BI Desktop interface, connecting to data sources and creating the visualizations. We will demonstrate the creation of each of the various visualizations and the various options related to each. We will also show how the visualization can be connected together to provide fully-interactive reports with drill-down capabilities. This class does not require any Excel knowledge but understanding Power Pivot and Power Query can reduce your learning curve. This session is presented using Excel 2019/Office 365. Regardless of the version you are using, most concepts covered in this course apply to all versions of Excel.Speaker - Bryan L. Smith, CPA.CITP, CISA

Data can be messy! In other words, it is not always clean and neat. Data comes from various sources like text files, Excel spreadsheets, databases, report files, etc. This is how most data analysis projects fail - the inability to get the correct data. This class focuses on using Power Query (Get and Transform) to clean, shape and transform your messy data while still allowing you a one-click refresh. We will review various data issues including appending files, combining multiple files from a folder, adding custom columns, unpivoting data, creating a lookup table, and much more. This session is presented using Excel 2019. Regardless of the version you are using, most concepts covered in this course apply to all versions of Excel.Speaker - Bryan L. Smith, CPA.CITP, CISA

This program will introduce useful features of Excel, with a focus on workbook structure, navigating within workbooks, understanding how to use formulas, formatting, and other introductory concepts.Speaker - Chris Harper, CPA

This program will provide a detailed analysis of the real estate professional passive activity rules, including forms reporting examples, and integrates those rules with when real estate is considered a "business" under the Section 199A flow-through entity deduction.Speaker - Steven C. Dilley, CPA, JD, PhD

At its height, LIBOR was the benchmark for over US $350 trillion in financial contracts worldwide. Yet, due to concerns over the manipulation of the rate, standard setters determined that LIBOR should be discontinued. The global response to reference rate reform required financial reporting standard setters to provide practical expedients and exceptions to current modification guidance. This course will provide an overview of the standards issued (including amendments) from both the FASB and GASB to address the transition away from LIBOR.Speaker - Melisa Galasso

With each new crisis, surviving organizations revise their risk management plans, often modeling situations which look like the one just past. Whatever crisis troubles your organization next, it is not likely to be another pandemic, but may resemble some other crisis from the distant past. Research shows that top performing organizations do no better than their mediocre-performing peers at predicting the next crisis. However, because they have plans in place to handle one possible risk, they are better prepared when a different crisis happens as a result of having important elements of a solution in place. Often well-prepared organizations actually end up better off because the crisis occurred.Speaker - John L. Daly, MBA, CPA, CMA, CPIM

A detailed analysis of the calculations related to determining an S shareholder's tax basis for S corporation shares and loans. Learn how to use the Form 1120S, Schedule K-1 information for basis determination. An illustrative example demonstrates how the process works, as well as the many potential pitfalls.Speaker - Steven C. Dilley, CPA, JD, PhD

Many self-employed or sole proprietors find themselves having to navigate Schedule C in reporting business income. While this attachment to Form 1040 seems straightforward on the surface, there are many traps for the unwary. This course is ideal for CPAs, EAs, or other tax professionals.Speaker - Allison M. McLeod, LL.M., CPA

This program addresses the most recent developments impacting taxpayers incurring research and experimentation costs. Emphasis will be placed on compliance with the 2022 change in Section 174 Amortization of research and experimental expenditures.Speaker - Steven C. Dilley, PhD, CPA, JD

This program addresses the Section 199A deduction for flow-through entity income, including a review of the major provisions, forms reporting, and recent developments.Speaker - Steven C. Dilley, CPA, JD, PhD

This program provides an explanation of the Secure Act 2.0 tax provisions impacting both individuals and business taxpayers.Speaker - Steven C. Dilley, PhD, CPA, JD

This program presents a detailed analysis of the self-rental passive activity rules, including forms reporting examples and integrates them with the flow-through entity rules related to self-rental.Speaker - Steven C. Dilley, CPA, JD, PhD

Many people that use Microsoft Excel know a great deal about the functionality of the application. There are, however, a tremendous number of hidden tools that a high percentage of users overlook. Additionally, there are newer features that some have not had the opportunity to explore. This session shows some of the numerous time-saving tools and features that often go unused by spreadsheet creators. People that wish to become more efficient when using Excel should take this session!Speaker - Karl Egnatoff

Surveys show that the average North American company completes its monthly financial statement closing in six days. However, some companies can close their books in one day or less. You don't have to sacrifice accuracy for speed. This session will show you how to close month-end faster, better and cheaper.Speaker - John L. Daly, MBA, CPA, CMA, CPIM