Top Trends for Business Analytics for the Rest of 2021 Posted on : Nov 12 - 2021

Data powers business. Organizations rely on it to remain successful and competitive, but they have traditionally performed analysis on huge volumes of historical data to make critical decisions. The impact of the Covid-19 pandemic is now forcing organizations to look at business analytics in a new light. It has shown that models that rely on historical data have become obsolete. The data that informs business decisions needs to be captured, analyzed, and understood in real time to allow organizations to react to what is happening, rather than making retrospective decisions based on things that happened in the past.

As more organizations begin to adopt a new approach to business analytics as they seek actionable real time insights, it will be important to understand the new trends that are emerging in the business analytics space. It’s certainly an interesting moment in time for business analytics as widespread adoption and development means the space is quickly evolving. These are the top trends we can expect to see rising to prominence in the second half of 2021:

1. DataOps

DataOps (data operations) is an emerging methodology that is helping organizations fast-track their data analytics operations. It answers the increasing demand from data professionals to extract crucial insights from raw data and has been used by the likes of Facebook and Netflix to get the leading edge over their competitors. The DataOps methodology unites data professionals with DevOps teams which are favored for their agile working processes. This combination enhances and automates data orchestration through a collaborative and cross-functional process.

DataOps employs the continuous integration/continuous delivery (CI/CD) method. This method uses automation to accelerate lengthy processes which improves productivity and delivers results faster at every stage of a data analytics project. It is important to remove traditional silos and allow every person in the DataOps team to be able to access all of the relevant business data. Organizations that employ the DataOps methodology typically use cloud-based tools and systems which enables a scalable approach and provides adequate computing power to ensure data can always be processed quickly. View More