WHO > Infotron | Startup
WHY > Rebranding & redesign
WHAT > Sales brochure infographic style
WHEN > 2012
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Unveiling the Tech Salsa of LAMs with Janus in Real-Time Applications
Sales infographic | Infotron
1. Spreadsheets support strategic decisions in more than 90% of all companies. Spreadsheets form
a risk when they become difficult to understand and are collectively maintained. This is where
Infotron comes in. Our software analyzes your spreadsheets, making sure they stay error free and
easy to understand. So you can focus on your business.
Infotron is a university spin off that developed software to check
spreadsheets. Spreadsheets that are uploaded to Infotron's Spreadsheet
Analyzer are checked by several scientific guidelines, like complexity of
formulas, logical links and the occurrence of fixed numbers.
website
www.infotron.nl
e-mail
felienne@infotron.nl
1800 b.c.
The first kind of spreadsheets
were the clay tablets of the
Babylonians. In these early days
of mathematics people already
used a spreadsheet-like lay out
for calculations.
1494
The system drastically
improved when the
‘double-entry bookkeeping
system’ was invented.
1979
First digital
spreadsheet software
called VisiCalc.
1985
Microsoft introduces
Excel for Macintosh.
Two years later it is
introduced for Windows.
2010
Infotron starts with
spreadsheet analyzer.
Spreadsheet
Analyzer
INVENTORY
Inventory scan
1. Inventory: We determine how many spreadsheets the organization has
and where they are stored.
2. Interviews: We perform short interviews with key spreadsheet users to
learn more on spreadsheet use within your company.
3. Analysis: We analyze all spreadsheets, checking for errors, integrity
problems, optimization opportunities and data sources.
Furthermore a visualization is created.
4. Report: We create a tailored derisk plan for all the spreadsheets in
the organization.
Self scan
1. Upload: You upload your spreadsheet to our
online analyzer
2. Analysis: We analyze all spreadsheets, checking
for errors, integrity problems,
optimization opportunities and data
sources. Furthermore a visualization is
created.
3. Report: Within seconds you get a standard
derisk plan, right in your browser. No
install or configuration needed, just
sign up and go.
UPLOAD ANALYSIS REPORTINTERVIEWS ANALYSIS REPORT
INTRODUCTION
70%
Reducing the chance of
getting errors in spread-
sheets by 70%
Less errors
88%
of the total amount of
spreadsheets contain
errors
Errors
95%
of the American
companies use
spreadsheets for
financial reports
Reports
50%
of spreadsheets are
used for decision
support
Decisions
50%
Saving users up to 50%
of their time spent on
spreadsheets
Time saving
2days
The average
employee spends 2
days a week working on
spreadsheets
Time
THE SOLUTION
WHAT DOES THIS MEAN FOR YOUR BUSINESS?
THE PROCESS
THE ISSUE
5+
Spreadsheets can have
a long lifespan:
an average spreadsheet
stays in use for 5 years
11
Spreadsheets can grow
large, they have 11
worksheets on average,
and 500 formulas
FACTS
13
During its lifetime, an
individual spreadsheet
is used by an average of
13 different employees
people
55million
users
61% of the American
workforce, which
amounts to 90 million
people, use spreadsheets
tabsyears
History
1. Errors
Check the spreadsheet for actual errors: like division by zero, wrong
formula types or non-existent names.
2. Integrity
Determine the integrity of the numbers and formulas: can this
spreadsheet be trusted?
3. Optimization
Show what formulas could be improved to make the spreadsheet
more efficient.
4. Data connections
List all data sources the spreadsheet uses.
5. Visualization
Show the visual structure of the spreadsheet, in terms of worksheets
and their relations.
2000 b.c. Present
Improved awareness
Insight in spreadsheet quality
Less risk of errors
How do we derisk spreadsheets?
10,000,000,000Yearly about 10 billion dollar is lost because of errors in spreadsheets
Sources
B. Rittweger and E. Langan (2010), Spreadsheet Risk Management in Organisations
M. Hall (1996), A Risk and Control-Oriented Study of the Practices of Spreadsheet Developers
F. Hermans et al. (2011), Supporting Professional Spreadsheet Users by Generating Leveled Dataflow Diagrams
F. Hermans et al. (2010), Automatically Extracting Class Diagrams from Spreadsheets
C. Scaffidi et al. (2005), Estimating the Numbers of End Users and End User Programmers
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