The current public health crisis continues to disrupt industries across the globe. One of the biggest lessons that are coming out of this ordeal is the crucial role that technology plays in building resilience. Big data, perhaps one of the biggest faces of technological disruption over the past few years, has played a central role in helping startups stay alive, even before the pandemic.
What is big data?
Big data is a combination of structured, semi-structured, and unstructured data collected by organizations that can be mined for information and used in machine learning projects, predictive modeling, and other advanced analytics applications.
Systems that process and store big data have become a common component of data management architectures in organizations, combined with tools that support big data analytics uses. Big data is often characterized by the three V’s:
- the large volume of data in many environments;
- the wide variety of data types frequently stored in big data systems; and
- the velocity at which much of the data is generated, collected, and processed.
Why is big data important?
Businesses use big data in their systems to improve operations, provide better customer service, create personalized marketing campaigns, and other actions that can ultimately increase sales and profits. Companies that use it effectively are able to make faster, more informed business decisions, potentially gaining a competitive advantage over those that do not. there is.
For example, big data provides valuable insights about customers that businesses can use to improve marketing, advertising, and promotions to increase customer retention and conversion rates. Analyze both historical and real-time data to assess evolving consumer and business buyer preferences to help businesses better respond to customer wants and needs.
How Big Data Builds User-Friendly Applications
One of the biggest perks of infusing big data into web development is the ability to maintain a clear, inside-out look into user behavior as they navigate through the application.
By infusing elements of artificial intelligence to help comb through user data within the application, developers can identify design flaws and other issues, allowing them to come up with updates that address these issues.
Disruption to the Web Development Process
One of the biggest perceived threats of data science is that it will make most development roles obsolete. On the contrary, big data and associated technologies will increase the demand for developers – however, this is contingent on the premise that these developers will need to upgrade their skill sets so that they are conversant with data analysis.
And that’s because big data analytics has helped move the conversation away from pure coding to data-centric practices such as curation, structuring, and cleaning data, which is then used to teach algorithms that are eventually utilized in the web development process.
Automatic App Updates
Data science and analytics are also capable of transforming your app update process, which can be a huge advantage for your upgrade efforts post-development. Instead of relying on focus groups, raw user feedback, in-house development teams, or just simple intuition, you can use data collected via organic streams to inform upgrades.
Data points can be generated when users interact with the application or when users make their feelings known on social media or forums. These data points are then fed into an upgrade module, with algorithms that analyze the data and then churn out upgrades and subsequent new versions of the application.
At the moment, big data is among numerous technological advancements that can give development teams a competitive advantage. However, with increased activity in the digital space owing to the current health crisis, data science will soon become the new normal and a minimum operation requirement for development teams.
Other benefits will include improved efficiency, productivity, and personalization, all of which will serve to create a better web development strategy.
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