Data from a study by Blissfully shows that small businesses use 40 SaaS apps on average. That number gets to 203 apps for companies with over 1,000 employees. Indeed, businesses use way too many cloud apps nowadays. This is partly due to the IT decentralization. Departments, teams, and even individuals choose separate tools for their needs. The result is a variety of apps. And most of them are not connected with each other.
More apps = more inefficiencies
The bigger the number of apps, the more opportunities for inefficiencies. Each application has its own databases and workflows. Data must ‘move’ through different places to assist with decision-making and other business needs. Therefore employees get more and more trapped into manually and repeatedly transferring data between different applications. The cost is high. A lot of energy is spent on busywork, instead of on high-value work. Not to mention all the mistakes people make while manually processing data.
The more cloud applications a company uses, the more opportunities for silos of data. Since data is stored in each cloud app’s databases, it easily becomes segmented. Even though some integrations between applications do exist, the reality is that apps rarely ‘talk’ with each other. Therefore, often times employees need to manually piece together data from different sources for their analytics, reporting, or business needs. Silos of data hinder business analytics initiatives and may hide valuable insights from being uncovered.
Best of breed
Teams and individuals opt for the ‘best of breed’ approach, rather than the ‘best of suite’. Indeed, this helps with flexibility and independence but it has its drawbacks when it comes to connectivity, integrations, and reporting.
As organizations continue adopting more and more cloud applications, the need of connecting their apps and moving data between them will steadily rise.
Find out how Simply Flows can help. We can make the data flow seamlessly between your cloud apps. That’s right, no more data silos and no more manual transfers of data between your applications.
We all make errors. Most of the time when we manually enter data or copy-paste information between systems, we make mistakes. Actually, such errors are unavoidable because humans are not good at repetitive tasks. On one hand, we easily lose focus or get carried away in thoughts. On another, we hate such mundane work and rarely give it our all. We all have been there and know how easy it is to do a wrong entry, to paste data twice, or to mess up a number. Later on, we need to go back, find, and correct the mistakes we’ve made. We can imagine how big of a time-sucker that is for the business. Indeed, a study found that fixing data errors could take up to thirty percent of the day.
Gartner discovered that Robotic Process Automation (RPA) can save 25,000 hours in a year.
The average amount of avoidable rework in accounting departments can take up to thirty percent of the day. This equates to savings of 25,000 hours or $878,000 per year for an organization with 40 full-time accountants.
A Gartner study shared these findings back in 2019. Gartner’s analysts interviewed over 150 chief accountant officers. Also, they gathered data of the RPA adoption at those companies.
Automate to eliminate data errors
Apparently, fixing data errors is a big problem for organizations. The good news is that there is a solution for it – process automation. When the data processes are automated, errors are eliminated. Additionally, organizations save a lot of time and money by not paying employees for such tasks. Knowledge workers are able to focus on high-value work. Once unburdened, people have time to be creative and contribute to the company’s innovation. An added benefit is that job satisfaction goes up and turnover goes down when employees feel that their skills are better utilized. And last but not least, an organization can employ RPA without breaking the bank!
Do you need help with automating any of your processes? Connect with us or have a look at our product page.
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