Michal Wachstock for Sisense writes: Excel is the most popular spreadsheet software in the world, with
hundreds of millions of users. Yet while Excel’s simplicity of
organizing data has made it the most frequently used reporting tool, it
doesn’t take long to accumulate “Big Data” far beyond Excels capacity.
Then, you are left to work with desktop spreadsheets that don’t enable
real-time data sharing, updating, or show you a complete picture of all
data in your organization. More businesses are moving away from Excel
and adopting a dedicated reporting software designed for the more
advanced needs of organizations today. If you can relate to one or more
of issues below, it’s probably time to upgrade your reporting as well.
1. Excel is getting slow
Excel can become sluggish when reports contain more data than Excel
was designed to handle. Size impacts the time it takes an Excel document
to load as well as to the time it takes to make any change to the data
inside the document. Today, almost every business that is actively
collecting data just for their marketing and sales departments, can
easily accumulate data beyond Excels capacity.
When this happens, users tend to break data into smaller, more
manageable segments, or maintain multiple workbooks or worksheets, both
of which are almost impossible to consolidate. Not only does this make
reporting more difficult, but it also takes valuable time away from
other tasks. The bottom line? Because it’s so hard to accurately join
all your scattered datasets, you’ll never get a complete view of your
organization–whereas with a BI and dashboard reporting software, seeing the bigger picture can be simple.
2. There’s debate over report accuracy and ownership
Excel users typically store files locally on their computer for
reporting purposes. If several people want to work on a report using the
same data, they must all have identical copies of the file.
This might not seem like a big challenge—after all, sharing files via
email is fairly simple. However, changes to some of the cell values are
inevitable and once a file is shared and an analyst begins building a
report, those changes are hard to implement. With a few users working on
the same report, each person maintains a different version of the file,
with slightly different data, leading to a debate over who has the most
accurate data. Managing reports with multiple users and versions will
at best give you a massive headache, and at worse give you inaccurate
information and insights.
3. Manual updates are time consuming and error-prone
Updating data in an Excel file is rarely a simple task because adding
fields, copying formulas and data values can break pre-set functions.
Adding new data with an additional field (column) typically means that
same field must be created for pre-existing data.
If analysis is spread over several sheets in a workbook, it’s likely
that each sheet will require changes based on that additional field. And
if sheets reference one another, adding a field to one sheet can be a
confusing and complicated task as it’s not easy to see which data is
affected by the addition. Wasting time on “cleaning up” data so it
synchronizes properly is a mindless task that is always fallible.
4. Your KPIs cannot be calculated with one Excel formula
The most powerful KPIs require formulas that reference several
dimensions or columns and use complex and nested filters. When it
becomes impossible to calculate KPI results with a single Excel formula,
reporting becomes a time-consuming, manual exercise. In other words,
to make meaningful KPI dashboards, you need to move beyond the built-in
functionality of Excel.
The longer it takes you to build and maintain a report, the less
frequently you’ll be able to use the insight it provides to develop
strategy. Longer reporting intervals cost your organization time and
prevents it from reacting to change in real-time.
5. Reports and dashboards aren’t inspiring
While Excel offers data visualization tools for data sets that are
small and simple, once the data sets grow, these visualizations become
static and almost unpresentable. Poorly designed data visualization,
even for no-frills charts, isn’t just uninspiring—it can also be
misleading.
In this aspect, you’re truly missing out because high quality data
visualization makes it very easy to see patterns or changing trends with
a single glance. In effect, it turns columns and rows of data which
have limited meaning and require close study into a format that the
human brain can process almost instantaneously.
Bottom line
As you see, it doesn’t take a lot of data or very complex data to
outgrow the size and scope of ExceI. If you’ve identified with more than
one of the five pain points above, it’s time to ditch Excel for a more
robust business intelligence solution. True business intelligence tools
can handle data on a gigabyte to terabyte scale, create a single version
of truth from your multiple data sources, and deliver beautiful data
visualizations that will allow your organization to make critical
decisions in real-time.
SiSense is an award-winning, full-stack Business Intelligence and Analytics software that's creating quite a buzz for its powerful technology as SiSense is the only fully-functional Business Intelligence tool that lets non-techies join multiple large data sets, build smart dashboards with great data visualizations, and share with thousands of users.
SiSense is an award-winning, full-stack Business Intelligence and Analytics software that's creating quite a buzz for its powerful technology as SiSense is the only fully-functional Business Intelligence tool that lets non-techies join multiple large data sets, build smart dashboards with great data visualizations, and share with thousands of users.