Whether it is revenue, customer experience, or operational efficiency, big data has allowed businesses to achieve unprecedented growth. However, companies need data engineers, technical data experts, and programmers to make sense of large volumes of unstructured data. Businesses need to hire professionals who can write codes to process and analyze data to get any actionable insight out of it.
So, even though big data is a big help for a business, it is, without a doubt, also a big expense and inaccessible for most companies. But no-code tools have changed it all.
As you know, no-code tools take a visual approach to software development instead of using programming languages. No-code tools provide non-technical users a modular software development that requires zero programming. Users can create their applications using templates, drag-and-drop, and logical sequences and deploy them without any hassle. No-code tools democratize access to sophisticated programs, ensure fast software delivery, and improve efficiency.
When it comes to big data, no-code tools remove any need for programming from the data collection, processing, and analysis process. No-code tools have opened big data to more industries and organizations so they can also leverage it and grow. Let us see in detail how no-code tools democratize access to big data.
-
Big Data for Small Businesses and Startups
To leverage big data, businesses need to invest in IT infrastructure, professionals, and training which is impossible for most small business owners to accomplish. Thus, for a long time, only large enterprises could utilize big data.
However, most no-code tools are cloud-based solutions that remove any need for additional IT infrastructure. They are so cost-effective that around 45% of businesses worldwide run at least one of their big data workloads in the cloud. One can access them using any device, making it easier for small and medium businesses to utilize big data.
No-code tools also eliminate any need for companies to hire programmers to work with their data. Since these tools have a very low learning curve, executives do not need extensive training. Data Analysts themselves can create a working application based on their ideas and needs, reducing development time and cost.
-
Big Data for Operational Teams
Mostly, companies rely on big data to analyze business performance and track their long-term goals. So, access to the organization’s data was limited to data engineers and analysts. But it did not take long for organizations to realize that big data can influence the efficiency of their day-to-day operations.
Today, businesses are investing in operational analytics, i.e., giving access to an organization’s data to teams like sales and marketing so they can make informed decisions. It also means that they need applications tailored to their big data use cases, where no-code tools shine.
No-code tools allow businesses to develop and deploy applications for their operational teams without hiring programmers. At the same time, the tools allow non-technical staff to leverage data in their day-to-day decision-making process.
-
Big Data for Business Leaders
Only 38% of CEOs lead their company’s big data operations. Why? Because not all business leaders are technology leaders and often lack the knowledge needed to work effectively with big data and analytics tools.
Also, the lack of technical know-how creates communication gaps between C-level executives and data analysts. Leaders fail to convey their ideas and goals, and the analytics team fails to deliver relevant reports. As a result, 41% of business leaders often struggle to convert insights into decisions.
No-code tools solve this problem to some extent. The graphical approach to big data analytics makes it easier for business leaders to oversee data collection, processing, and analysis processes even when they lack technical knowledge.
-
Big Data for Unique Use-cases
There are two ways to utilize big data in business, invest in a third-party solution, or build in-house solutions.
Investing in third-party tools often seems logical, but not all solutions may fit the needs of a business. So, a lot of industries still lag behind in using big data in their operations even when they have the resources to invest in it.
Or, they can build their own analytics software. And that requires businesses to hire programmers to build them an application and then train their team of data analysts to use that solution, and it not only costs time but a lot of money as well. No-code tools, on the other hand, tackle both issues at once.
With no-code tools, companies can develop their own analytics software without hiring any programmer. Instead, they simply need to train their data engineers and analysts in using the no-code tools. And then, they can create an application where each feature, function, and filter cater to the unique needs of their business.
Wrapping Up
No-code tools are a result of the industry’s demand for agile software development and deployment. It frees businesses from hiring developers to program their software, saving them valuable resources. No-code tools are perfect solutions to enable more sectors and enterprises to utilize big data to realize their long- and short-term goals. They can equip their own team of data analysts with no-code tools so they can build their own applications from the ground.
With analytics tools tailored to their needs, businesses can control data sources and quality to get accurate insights. They can also integrate their big data tools with their existing solutions, like CRM, to make their operations more efficient.
Featured Image Credit: Photo by Thisisengineering; Pexels; Thank you!
