To deliver a much efficient analytics solution for the enterprises, data and business analysts must prioritize the strengthening of the pillars of data analytics: agility, performance, and speed.
Fremont, CA: The pandemic-driven shift to a renewed virtual world of business has accelerated the development of digital transformation. Employees, business processes, and products require support and shift to a virtual environment for enterprises to remain competitive and survive. Data and analytics must become as agile as other business elements as the variety, volume, and distribution of data continue to grow, unencumbered by external world events.
Data analysts and business analysts depend heavily on a fit-for-purpose data environment that allows them to do their jobs well. Such kind of settings will enable them to answer questions from management and various parts of the business. These professionals have expertise in working and communicating with data but often lack in-depth technical knowledge of databases and its many underlying infrastructures.
To get rid of the frustration and deliver a much efficient analytics solution and experience for the enterprises, data and business analysts must prioritize the strengthening of the pillars of data analytics: agility, performance, and speed. The overall data architecture, complemented by a sound data strategy, is the foundation laid to enable these pillars. Dependable and fit-for-purpose infrastructure is necessary to handle the increasing data volumes and accommodate a much more advanced and performant analytics model.
Data architects and engineers provide the expertise to proactively recognize the weaknesses in the underlying infrastructure and existing data models that might affect the performance and, subsequently, the end-user experience. Reviewing and addressing the weaknesses can support the overall environment to become flexible and provide room for a more agile approach to data analytics. With the right infrastructure choices and architecture, an organization can achieve better performance, which is reflected in the user experience of analysts and stakeholders across the business as they consume and interact with information.