“DevOps is one of the biggest new trends, while BI continues to be in demand”
Corporate world today is well off with effective tools and techniques to drive the desired ROI from the ever-expanding customer crew. However, what many of them lack is the ability to harness strategic and tactical insights from their organizational data to define better and deliver equitable solutions for the changeful market wing.
Learn, Innovate, Initiate
DevOps is easily one to hottest trend in the software development province and though it hasn’t been around for long, it has greatly benefitted modern day enterprises with considerable agility and interoperable competence. Unlike Business Intelligence solutions, where a small batch of business data is evaluated to derive latent insights for decision aid, DevOps is more accustomed to the league of Big data. By following the DevOps approach, cross-functional teams can seamlessly collaborate towards efficient execution of any said project, with hassle-free tandem between the development and operational side.
DevOps technique is more of an approach that can be reconfigured depending on the team strength and project requirement. BI too changes its scope depending on the institutional requirement and mostly needs exhaustive boot up before it can actually deliver actionable outputs. Though early forms of Business Intelligence required categorical data inputs to generate results, modern BI tech is reaching out towards a collaborative slot to better empower businesses across newer investment domains. This collaborative approach forms the heart and soul of the DevOps approach, making it an ideal driver for increased organizational interest.
Former Analytics and Intelligence
In order to derive meaningful insights from huge amounts of organizational data, data professionals (scientists and developers) often worked upon dummy data sets. Smaller data sets were employed to develop and hone the analytical models which could then deliver insightful outputs and generate recommendations. Building and training analytical models were often carried in a controlled environment with selected data sets and data constraints which resulted in performance divide.
Collaboration with DevOps
DevOps brings a more practical approach to the equation by helping with analytical modeling around collaborative lines. By following the DevOps approach, developers and data professionals can easily deploy practical applications with assured quality and increased speed. A collaborative approach is a key to make Business Intelligence more accessible and applicable in common enterprise domain, with a lesser inclination towards “data science” and more pertinence towards user needs.
DevOps can offer a holistic approach in BI modeling by bridging the gap between development and operational team abilities and initiating the desired level of continuous improvement. With the right tools and resource pool, DevOps can serve the purpose of intelligent application development that can offer advanced decision-making capabilities across varying regions and work domain.
Concluding thought
Enterprises are generating copious amount of data footprints daily, and although present-day data analytics solutions are bordering on the insight generation, there still remains a huge potential that can be channeled towards enterprise gain. Businesses now seek agility driven software solutions that not only facilitate data management but can also help in extracting intelligent trends and market inclinations for assured market gains. DevOps holds great potential for business intelligence and analytical modeling but only with a much comprehensive and collaborative advent. Pratham software offers state of the art data analytics and BI solutions to help your organization gain huge competitive margin across established and new found business domains. Visit us to know more about our enterprise offerings.
