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The time has come to act independently in business

I’m going to make a strong case for “Business Autonomy” in this post. My argument here is that the time has arrived to give technical solutions for teams and individuals who are not part of centralized IT teams. Individuals who are not professional programmers, technical architects, or platform developers (a.k.a. “Business”). With the help of technical teams, these people drive their customers, which helps the company grow. They would be unable to achieve their aim without their assistance. But, in today’s ever-changing environment, it’s time to create apps and tools that allow non-technical people to construct and apply their own analytical solutions. Security, scalability, performance, and usability should be provided by technical teams in the development of such applications/tools. This strategy will also make it clear what the main jobs of the technical teams and the non-technical teams are. Non-technical teams create analytical solutions to support both short- and long-term business plans. Technical teams would be in charge of the technical platforms, tools, and utilities required by non-technical users to construct analytical solutions.

Defining Business Autonomy

So, what exactly is business autonomy? Business autonomy requires making quick decisions based on only the data that firms wish to see and use. They don’t want to waste their time looking for a needle in a haystack. They are only interested in material that is relevant to them. They would rather work on new ways to use data than on problems with data formats, data volume, or technology platforms. They see data as an asset and want to focus on developing with it. They demand total control over their data and how it is used. Because of platform limits or technological issues with data pipelines, they do not want to be instructed on how to use their data. They want to be able to manage who has access to their data. They’re curious about how data is generated and given to them. They want access to data pipelines, system statistics, and information on the general health of the data platform. If they understand this, it indicates that they have earned some degree of autonomy. Lastly, and most importantly, they don’t want to have to change their business or data strategy because their technical teams or platforms changed.

Functional Areas of Business Autonomy

We must examine the areas where the business requires autonomy.
Businesses want to be able to use any source of data, no matter what format it is in or how much of it there is. They want to be able to make their own metrics and key performance indicators (KPIs) and change them quickly as business circumstances change. They want the ability to run their own customized analytics with full platform automation support. They want to work together and trade their own KPIs and analytics solutions with other clients and providers of data in a safe way. They desire to control and transparency over the utilization of their business solution.
They want to be in complete charge of data protection and legal compliance, rather than relying on other teams. They don’t want it to become a black box scenario in which they can rely on it to handle data privacy and compliance with no control. They also want to manage their business clients more efficiently, for example by using a multi-tenant system where they have full control over who gets access, how they use data, and how much they pay.

Concluding Remarks

It’s a win-win for both technical and non-technical people to think about and build solutions that give businesses more freedom. Business autonomy helps increase their revenue footprints by avoiding decision delays and also, reducing the burden on technical teams, which need to focus more on data platform stability, performance, scalability, and usability.

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