About this eGuide

The use of spreadsheets is widespread across business operations. Excel is the default tool most of us turn to without really thinking about whether it is the right fit for the task. Project management? Excel. RoAS report? Excel. Capacity planning? Excel. Budgeting and forecasting? Excel.

It is true that spreadsheets are very convenient and valuable for collecting and crunching small amounts of data. However, as the data gets large, spreadsheets quickly become unwieldy. Their performance slows down and they start crashing more often, errors are introduced frequently with all the manual copy pasting and tricky formula coverage.

The costly fragility of using spreadsheets for complex, large scale projects is evident through plenty of real-world examples, be it the $6 billion loss at JP Morgan Chase, the London Olympics committee selling 10,000 tickets for non-existent seats, MI5 bugging one thousand wrong phone numbers, or TransAlta losing $24 million. No business, no matter how secure or how sophisticated, is impervious to the inevitability of costly, reputation-damaging errors.

So, what’s the alternative? Low-code/no-code data analytics platforms are increasingly gaining popularity for enterprise-scale insights as they enable businesses to work reliably with large amounts of data, automate manual processes, and perform advanced analyses beyond data wrangling, all while mitigating the typical spreadsheet challenges. 

Download this eGuide to learn more about how you can gain value by moving away from spreadsheets to a visual tools. Read about real-world examples of teams freeing themselves from the time consuming, manual Excel tasks to focus on outcomes that matter to business.