Cloud-computing in measuring data impact for the non-profit organisations (NGOs)

Cyrus Kazi
Quantibly
Published in
3 min readJul 20, 2020

Accessible from anywhere, flexible and scalable, cost-effective, hassle-free updates, fast, and secure — that’s all you want from a cloud-computing software, right? We know, cloud computing is becoming more popular nowadays, and technology is moving to the cloud. Despite its increasing popularity, there are many nonprofits that are lacking better understanding of implementing and utilising cloud-computing for their operating purposes due to the existing vagueness regarding its cost and security effects associated.

You may ask, what is cloud computing? Well the answer is, cloud computing is a kind of outsourcing of software, data storage, and processing. Users access applications and files by logging in from any device that has an active internet connection. Information and programs are hosted by external parties and reside on a global network of secure data centers instead of on the user’s hard drive. This frees up processing power, facilitates sharing and collaboration, and allows secure mobile access regardless of where the user is or what device is being used. Cloud-computing softwares are on a trend for addressing and solving critical problems existing in a society. These softwares aim to provide scalable and cheap on-demand computer infrastructure using a variety of technologies. Due to the existence of mobile phones and tablets, the usage of cloud-computing solutions can be optimised anywhere because they are accessible from everywhere as long as one has an internet connection.

It is argued that the main usefulness of cloud computing for nonprofits is its cost effectiveness, whilst the major concern relates to the risks for security. Accordingly, additional effort has been added in exploring these factors with cloud computing impact. The advantages of implementing cloud tech for nonprofits include increased donations and improved productivity — and yet many charities have been be slow to adapt. But by adopting the cloud, non-profits are able to use digital services and tools that make their operations run a little smoother — whether by increasingly flexibility, making it easier to access information, or enabling them to deliver their services in ways that were previously not that much easy through the use of traditional offline software.

Using cloud services also significantly reduces the amount of resource a non-profit needs to dedicate to its IT infrastructure. The infrastructure that drives cloud services lies with the vendor; you don’t need heaps of servers or internal infrastructure to access it, and you can instantly flex the amount of resource required without having to invest in more hardware. That’s how Quantibly is helping nonprofits, as more and more electronic devices are getting connected to the internet regularly, focus has been shifting to Big Data. Large volumes of information are exchanged within a split second and emerging startups add even more complexity to the landscape of data measurement and interpretation.

To save costs, increase efficiency, set standards, realize successes, and measure impact, Quantibly helps nonprofits to ensure the extraction of meaningful data, the relevant interpretation of these, and finally presenting the bits and pieces into coherent and usable information. Using this information, non-profit organizations can ensure they have good relationships with stakeholders, compare their position among other competitors and decide what their next plausible business move can be.

Moreover, cloud platforms, especially those with built-in AI and machine-learning features, can do a lot of useful stuff, but they’re not magic bullets. Your team still needs training to get the best out of the overall system. That’s why Quantibly provides free training to its clients, so that the users/clients can tell the success stories better with Quantibly — accessible from anywhere, flexible and scalable, cost-effective, hassle-free updates, fast, and secure !

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