Spreadsheets are often hard, if not impossible, to understand.
Mireault & Gresham (2015)
Spreadsheets are alarmingly error-prone to write.
Paine (2001)
Untested spreadsheets are riddled with errors.
Miller (2005)
The software that end users are creating... is riddled with errors.
Burnett & Myers (2014)
Despite being staggeringly error prone, spreadsheets are a highly flexible programming environment.
Abreu, et al (2015)
Spreadsheet errors have resulted in huge financial losses.
Abraham & Erwig (2007)
Spreadsheets can be viewed as a highly flexible programming environment for end users.
Abreu, et al (2015)
Errors in spreadsheets are as ubiquitous as spreadsheets themselves.
Colbenz (2005)
The issue is not whether there is an error but how many errors there are and how serious they are.
Panko (2007)
Studies have shown that there is a high incidence of errors in spreadsheets.
Csernoch & Biro (2013)
Spreadsheets are commonly used and commonly flawed.
Caulkins, Morrison, & Weidemann (2008)
People tend to believe their spreadsheets are more accurate than they really are.
Caulkins, Morrison, & Weidemann (2006)
94% of the 88 spreadsheets audited in 7 studies have contained errors.
Panko (2008)
Your spreadsheets may be disasters in the making.
Caulkins, Morrison, & Weidemann (2006)
1% of all formulas in operational spreadsheets are in error.
Powell, Baker, & Lawson (2009)
Every study that has looked for errors has found them... in considerable abundance.
Panko & Halverson (1996)
Spreadsheets are dangerous to their authors and others.
Durusau & Hunting (2015)
...few incidents of spreadsheet errors are made public and these are usually not revealed by choice.
Kruck & Sheetz (2001)
Spreadsheets contain errors at an alarmingly high rate.
Abraham, et al (2005)
60% of large companies feel 'Spreadsheet Hell' describes their reliance on spreadsheets.
Murphy (2007)
Every study, without exception, has found error rates much higher than organizations would wish to tolerate.
Panko (1999)
Spreadsheets are the most popular live programming environments, but they are also notoriously fault-prone.
Hermans & van der Storm (2015)
It is now widely accepted that errors in spreadsheets are both common and potentially dangerous.
Nixon & O'Hara (2010)
Research on spreadsheet errors is substantial, compelling, and unanimous.
Panko (2015)
Spreadsheets are easy to use and very hard to check.
Chen & Chan (2000)
Most executives do not really check or verify the accuracy or validity of [their] spreadsheets...
Teo & Tan (1999)
Never assume a spreadsheet is right, even your own.
Raffensperger (2001)
Despite overwhelming and unanimous evidence... companies have continued to ignore spreadsheet error risks.
Panko (2014)
Spreadsheets are notoriously error-prone.
Cunha, et al (2011)
Errors in spreadsheets... result in incorrect decisions being made and significant losses incurred.
Beaman, et al (2005)
Most large spreadsheets have dozens or even hundreds of errors.
Panko & Ordway (2005)
Developing an error-free spreadsheet has been a problem since the beginning of end-user computing.
Mireault (2015)
Even obvious, elementary errors in very simple, clearly documented spreadsheets are... difficult to find.
Galletta, et al (1993)
Spreadsheet errors are pervasive, stubborn, ubiquitous and complex.
Irons (2003)
A significant proportion of spreadsheets have severe quality problems.
Ayalew (2007)
Spreadsheet development must embrace extensive testing in order to be taken seriously as a profession.
Bock (2016)
Spreadsheet shortcomings can significantly hamper an organization's business operation.
Reschenhofer & Matthes (2015)
Spreadsheets have a notoriously high number of faults.
Rust, et al (2006)
Programmers exhibit unwarranted confidence in the correctness of their spreadsheets.
Krishna, et al (2001)
It is irrational to expect large error-free spreadsheets.
Panko (2013)
A lot of decisions are being made on the basis of some bad numbers.
Ross (1996)
The results given by spreadsheets are often just wrong.
Sajaniemi (1998)
Overconfidence is one of the most substantial causes of spreadsheet errors.
Sakal, et al (2015)
Spreadsheets are extraordinarily and unacceptably prone to error.
Dunn (2010)
Spreadsheets are more fault-prone than other software.
Kulesz & Ostberg (2013)
Spreadsheet errors are still the rule rather than the exception.
Nixon & O'Hara (2010)
Spreadsheet errors... a great, often unrecognised, risk to corporate decision making & financial integrity.
Chadwick (2002)
The untested spreadsheet is as dangerous and untrustworthy as an untested program.
Price (2006)
The quality and reliability of spreadsheets is known to be poor.
Bishop & McDaid (2007)
Spreadsheets... pose a greater threat to your business than almost anything you can imagine.
Howard (2005)

Connexion

Connexion is a collection of the most useful and interesting spreadsheet-related articles from the web.

We review more than 200 websites and blogs to collect the best articles on tools, tips, and techniques that help you to improve your spreadsheets. Each article here is just a snippet - click on the title to open the full article.

Number of Connexion articles: 236

10 things you should never do in Excel

10 things you should never do in Excel

9 October 2017

Mastering Excel takes some experience and patience, but it's easy to make mistakes even if you've been using it for a long time. Sometimes, choices seem like a brilliant idea—until they're not, and the resulting problems are hard to troubleshoot.

In this article, I share 10 ways to avoid actions that seem good... at the time:

  • Rely on multiple links.
  • Destroy data.
  • Rely on default settings.
  • Ignore Table objects.
  • Use Excel as a database or Word processor.
  • Forget to protect your work.
  • Leave blanks.
  • Use numbers as column headings.
  • Allow error values.
  • Sluff off backups.
Excel IFERROR function with formula examples

Excel IFERROR function with formula examples

30 September 2017

The tutorial shows how to use IFERROR in Excel to catch errors and replace them with a blank cell, another value or a custom message.

You will learn how to use the IFERROR function with VLOOKUP and INDEX MATCH, and how it compares to IF ISERROR and IFNA.

4 alternatives to nested IF formulas

4 alternatives to nested IF formulas

24 September 2017

Nested IF formulas are extremely useful for complex decision making on a spreadsheet, but they can also be long, messy and convoluted.

This blog post explores 4 alternatives which are easier, faster and cleaner than the classic nested IF:

  • The IFS function.
  • Using VLOOKUP for an exact match.
  • Using VLOOKUP for a range lookup.
  • The fantastic CHOOSE function.
7 common VBA mistakes to avoid

7 common VBA mistakes to avoid

21 September 2017

When it comes to VBA, it's almost too easy to make a mistake. These mistakes can cost you greatly, both in time and in frustration.

In this post, I'd like to help you avoid these typical mistakes and make you a better VBA programmer:

  • Using .Select / .Activate.
  • Using the Variant type.
  • Not using Application.ScreenUpdating = False.
  • Referencing the worksheet name with a string.
  • Not fully qualifying your range references.
  • Making your Sub / Function TOO LONG.
  • Going down the nested For / If rabbit hole.
5 reasons to use an Excel Table as the source of a Pivot Table

5 reasons to use an Excel Table as the source of a Pivot Table

15 September 2017

Learn why using an Excel Table as the source of a Pivot Table can save time and prevent errors.

The reasons why you should use Tables for the source data range of your Pivot Tables are:

  • Adding new data & preventing embarrassment.
  • Eliminate maintenance on multiple Pivot Tables.
  • Prevent errors when creating Pivot Tables.
  • Avoid whole column references.
  • Prevent the Filter controls error with connected Slicers.
Microsoft Excel: Rules for designing Excel workbooks

Microsoft Excel: Rules for designing Excel workbooks

3 September 2017

Q. Is there a list of standard Excel design rules we should be following as we create new Excel worksheets?

A. By following a common set of spreadsheet design rules, companies can produce more consistent workbooks that may be easier to review, edit, and use by others in their organizations:

  • Documentation.
  • Table of contents.
  • Print macro buttons.
  • Avoid embedded assumptions.
  • Well-organized worksheet assumptions.
  • Assumptions in yellow cells.
  • Name assumption cells.
  • Error-checking formulas.
  • Organize your template by worksheets.
  • Simplify complex calculations.
  • Explanations.
  • Consistent look and feel.
  • Add File Properties.
  • Cross-footing and error-checking formulas.
  • Worksheet protection.
Scared straight? Reviewing Excel files in the wake of Wells Fargo

Scared straight? Reviewing Excel files in the wake of Wells Fargo

25 August 2017

The Wells Fargo inadvertent disclosure episode provides a high-profile reminder that attorneys who are responsible for reviewing and producing client documents must thoroughly understand those documents.

As reported by the New York Times, the inadvertently produced material "included copious spreadsheets with customers' names and Social Security numbers, paired with financial details like the size of their investment portfolios and the fees the bank charged them."

Here is a list of skills that I think every reviewer must have to competently review spreadsheets in the eDiscovery context:

  • Reviewing the entire workbook, not just the current tab.
  • Understanding Filters.
  • Identifying hidden rows, columns, and worksheets.
  • Identifying & deciphering formulas.
  • Understand the Freeze Panes display feature.
  • Finding and expanding truncated text.
  • Identify the boundaries of a worksheet.
  • Finding each worksheet's print formatting.
Understanding absolute, relative, and mixed cell references in Excel

Understanding absolute, relative, and mixed cell references in Excel

10 August 2017

A worksheet in Excel is made up of cells. These cells can be referenced by specifying the row value and the column value.

The power of Excel lies in the fact that you can use these cell reference in other cells when creating formulas.

There are three kinds of cell references in Excel:

  • Relative cell references.
  • Absolute cell references.
  • Mixed cell references.
  • Understanding these different type of cell references will help you work with formulas and save time (especially when copy pasting formulas).

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