Why Data Analytics Is Central to Digital Adoption - DZone Big Data

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Big data is no longer a buzzword; data is generated at very mammoth rates daily; considering that each individual generates approximately 2.5 quintillion bytes daily, data scientists and analysts have a lot on “their plates.” Why data scientists and analysts need to buckle up is not far-fetched; a more significant proportion of the data we generate daily is in the unstructured or semi-structured format; for data analysts and scientists to effectively use data, they must work around the clock to ensure the data is structured.

Incidentally, this is not a task that private and public organizations can embark on manually. There is a need for organizations to integrate digital adoption.

Digital adoption simply refers to achieving a state in which users gain the ability to use digital tools optimally. It enables a brand-new user to become entirely self-sufficient and competent.

Digital adoption enables data analysts to learn the functions of any software and optimize the potential of advanced features that unlock new ideas and processes. Incidentally, software adoption is just a fraction of how data analysts can deploy the digital adoption process. 

Better scope of digital adoption can be expressing it as an efficient way to: 

When data analysts successfully deploy digital adoption into data analysis, it impacts the transformation of organizations to a very high level. A digital adoption initiative must be carefully handled or managed to reduce workplace friction among staff members when you want to introduce any organizational change. 

As a software solution, a digital adoption platform (DAP) helps to facilitate learning new systems with data analytics; it also ensures the simplification of processes and step-by-step guidance. DAP provides contextualized information that enables users to navigate applications, familiarize them with their features, and make them proficient in its use in real time.

It is gradually becoming vital to integrate big data frameworks into a digital adoption platform; according to Statista, a whopping $2.8 trillion is estimated to be spent on projects globally by 2025. Data analysts and scientists must make the most out of ensuring that data is used effectively in technology investments by governments and private and public organizations to ensure that employees have a seamless experience using data analytics and other digital business tools for digital adoption.

Onboarding new staff is a critical aspect for the survival of any establishment; your team needs to hit the ground running; DAP is a software solution that can enable you to monitor, measure, and improve the overall user experience. With data analytics, it becomes relatively easier to gain veritable insights that will help with process management, seamless workflow, and setting-up best practices across the organization. 

The volatile nature of processes and the high level of competition for relevance and survival have deemed it necessary for organizations to adopt more innovative technologies, including data analytics tools. Many organizations are now rethinking digital strategies; it’s no longer “business as usual;” healthy competition is brewing globally, and quality products and services are now the norm. 

A survey of businesses conducted by McKinsey globally reveals that more than 60% of organizations now believe there is a need to build new digital businesses or reinvent themselves as digital-first enterprises by integrating AI and data analytics into their processes. Organizations have seen the need for future-proofing to enhance economic viability, which largely depends on the level of digital adoption and, possibly, the platform that will enable it.

A digital adoption platform is not something you can sink funds into without due diligence; organizations need plans on how to structure their digital adoption processes. A critical factor is to ensure that adoption is seamless; this singular fact will reduce resistance and breed enthusiasm among the teams to enable sustainable and long-term rewards with valuable data analytics tools. 

Organizations thrive on organizational culture, but when this culture is not flexible, there may be hiccups along the way. Team members must have the right mindset to usher in innovative ideas; you are setting out to reposition the organization, make it more viable and relevant, and increase your chances of survival. 

You must focus on the derivable benefits and not magnify existing shortcomings. Some benefits you derive from making data analytics central to your digital adoption initiatives include the following:

Digital adoption revolves around data, data analytics, and digital tools; after the COVID-19 pandemic, the world changed drastically; processes have become more online; they require astute and aggressiveness to scale through. The competition has heightened; the only way to remain relevant is digital adoption, and the gateway is data analytics.