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CP030: Detecting fraud in data using Excel – 5 techniques for you

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Manage episode 185857498 series 1535995
内容由Chandoo - Microsoft Excel MVP, Training & Data Analysis Specialist, Chandoo - Microsoft Excel MVP, and Data Analysis Specialist提供。所有播客内容(包括剧集、图形和播客描述)均由 Chandoo - Microsoft Excel MVP, Training & Data Analysis Specialist, Chandoo - Microsoft Excel MVP, and Data Analysis Specialist 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

In the 30th session of Chandoo.org podcast, let’s learn how to uncover fraud in data.

How to detect fraud in data - 5 techniques for you - CP030 - Chandoo.org podcast

What is in this session?

In the wake of hedge fund scams, accounting frauds and globalization, We, analysts are constantly second guessing every source of data. So how do you answer a simple question like, “am I being lied to?” while looking at a set of numbers your supplier has sent you.

Here is an email Peter, one of our readers, sent me last week:

Dear Mr. Chandoo

Shown numbers are measurements from a certain industry process. They are sent to me from a subcontractor. I have to validate these numbers. But am I being lied to? Did they make up the values themselves?
Values can be between 1 and 6 per contract. They are not necessarily normal distributed because of different batches.

That got me thinking?

That is our topic for this podcast session.

In this podcast, you will learn

  • Quick announcements about 50 ways & 200k BRM
  • Introduction to fraud detection
  • 5 techniques for detecting fraud
    • Benford’s law
    • Auto correlation
    • Discontinuity at zero
    • Analysis of distribution
    • Learning systems & decision trees
  • Implementing these techniques in Excel
  • A word of caution

Listen to this session

Click here to download the MP3 file.

Links & Resources mentioned in this podcast

50 ways to analyze data course:

Fraud Analysis theory & examples

Commonly occurring distributions

  • Normal distribution
  • Poisson distribution
  • Exponential distribution
  • Binomial distribution

Excel formulas & features to help you with fraud analysis

  • SUMIFS / COUNTIFS formula
  • FREQUENCY() function
  • Data Analysis Toolpak (enable this free add-in from Developer > Add-ins)
  • CORREL() function

Transcript of this session:

Download this podcast transcript [PDF]

How do you detect fraud?

I never had to detect fraud. So when Peter sent that email, I learned about it by researching. Based on the little I know about this field, my personal favorites are Benford’s law, distribution analysis, discontinuity at expected value.

What about you? Do you deal with data that has certain amount of fraud? How do you detect and analyze it? Please share your suggestions & tips in comments area.

Subscribe to our podcast and get latest episodes automatically

Use below link to add our podcast to iTunes. For other options (Android, Windows phone or RSS) click the link below. Thank you.

Other options to subscribe

The post CP030: Detecting fraud in data using Excel – 5 techniques for you appeared first on Chandoo.org - Learn Excel, Power BI & Charting Online.

  continue reading

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Artwork
icon分享
 

已归档的系列专辑 ("不活跃的收取点" status)

When? This feed was archived on June 15, 2023 14:07 (10M ago). Last successful fetch was on August 02, 2022 07:14 (1+ y ago)

Why? 不活跃的收取点 status. 我们的伺服器已尝试了一段时间,但仍然无法截取有效的播客收取点

What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.

Manage episode 185857498 series 1535995
内容由Chandoo - Microsoft Excel MVP, Training & Data Analysis Specialist, Chandoo - Microsoft Excel MVP, and Data Analysis Specialist提供。所有播客内容(包括剧集、图形和播客描述)均由 Chandoo - Microsoft Excel MVP, Training & Data Analysis Specialist, Chandoo - Microsoft Excel MVP, and Data Analysis Specialist 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

In the 30th session of Chandoo.org podcast, let’s learn how to uncover fraud in data.

How to detect fraud in data - 5 techniques for you - CP030 - Chandoo.org podcast

What is in this session?

In the wake of hedge fund scams, accounting frauds and globalization, We, analysts are constantly second guessing every source of data. So how do you answer a simple question like, “am I being lied to?” while looking at a set of numbers your supplier has sent you.

Here is an email Peter, one of our readers, sent me last week:

Dear Mr. Chandoo

Shown numbers are measurements from a certain industry process. They are sent to me from a subcontractor. I have to validate these numbers. But am I being lied to? Did they make up the values themselves?
Values can be between 1 and 6 per contract. They are not necessarily normal distributed because of different batches.

That got me thinking?

That is our topic for this podcast session.

In this podcast, you will learn

  • Quick announcements about 50 ways & 200k BRM
  • Introduction to fraud detection
  • 5 techniques for detecting fraud
    • Benford’s law
    • Auto correlation
    • Discontinuity at zero
    • Analysis of distribution
    • Learning systems & decision trees
  • Implementing these techniques in Excel
  • A word of caution

Listen to this session

Click here to download the MP3 file.

Links & Resources mentioned in this podcast

50 ways to analyze data course:

Fraud Analysis theory & examples

Commonly occurring distributions

  • Normal distribution
  • Poisson distribution
  • Exponential distribution
  • Binomial distribution

Excel formulas & features to help you with fraud analysis

  • SUMIFS / COUNTIFS formula
  • FREQUENCY() function
  • Data Analysis Toolpak (enable this free add-in from Developer > Add-ins)
  • CORREL() function

Transcript of this session:

Download this podcast transcript [PDF]

How do you detect fraud?

I never had to detect fraud. So when Peter sent that email, I learned about it by researching. Based on the little I know about this field, my personal favorites are Benford’s law, distribution analysis, discontinuity at expected value.

What about you? Do you deal with data that has certain amount of fraud? How do you detect and analyze it? Please share your suggestions & tips in comments area.

Subscribe to our podcast and get latest episodes automatically

Use below link to add our podcast to iTunes. For other options (Android, Windows phone or RSS) click the link below. Thank you.

Other options to subscribe

The post CP030: Detecting fraud in data using Excel – 5 techniques for you appeared first on Chandoo.org - Learn Excel, Power BI & Charting Online.

  continue reading

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