Rebuild Your Analytics for a Post-Pandemic World

One of the most consequential effects of the pandemic was a sharp increase in employee productivity. According to SHRM, survey data from 800 employers found that productivity was the same as or higher than it was before the pandemic, even with employees working remotely. Every person has been asked to do significantly more in their day, and with a remote workforce logging the same (or likely more) hours, it’s no surprise productivity soared. Conversely, organizations considering options to fully return employees to the office in 2022 could experience a drop in productivity. Whether because of school drop-offs, commute time, elevator delays, or physically moving between in-person meetings, many workers will have fewer hours in the day fully dedicated to work. One solution to setting a new bar for workplace productivity lies in modernizing analytics applications to enable smarter, faster decision-making based off trusted, enterprise data. 

A decade ago, users were introduced to the concept of self-service analytics, as organizations rushed to ensure that their employees had the tools to analyze data with reports, spreadsheets, and visualizations. Since then, the most successful teams have realized that not everyone is a data scientist or an analyst—and hardly anyone has the time, the expertise, or the inclination to research every decision for the best data available. In 2022, information needs to find users, in context and in real time, with consumer-grade experiences as natural to access and manipulate as any app on your smartphone.  

Learning to cope—as an individual, family, or community—in an environment of unknowns has been a stressful exercise during the pandemic. Everyone struggled with questions like how will travel be restricted? Will schools remain open in the event of an outbreak? What is the proper etiquette when visiting neighbors? These questions are unnerving, evoke strong opinions, and often times lead to conflict. Similarly, every business continues operating in an economy of unknowns, having to develop contingency plans for any number of scenarios. How will the next public health scare affect the organization? What critical products or components will fall below inventory levels? What social movement or political development will merit a change to operating procedures? 

To effectively navigate these challenges with data-driven solutions, in 2022, every company needs to invest into a technology that’s not only efficient and effective in today’s landscape—but tomorrow’s as well. The best way to future-proof and achieve this end is to have the architecture and infrastructure built for agility: a cloud-based analytics platform. Whether your organization needs to build a productivity app in 2 weeks’ time, has to rapidly scale that app to tens of thousands of users, or needs to migrate its infrastructure from one cloud service to another—having such agility ensures that your organization isn’t held back due to technical limitations.

For companies considering a cloud-based MicroStrategy solution, the fully featured platform can be deployed in an organization’s existing cloud environment or in the MicroStrategy Cloud™: a managed cloud service built on a single tenant reference architecture. It optimizes and streamlines management of a deployment on each organization’s cloud infrastructure of choice—increasing scalability, performance, and security while freeing up your IT team to focus on building data and analytics solutions instead of maintaining and upgrading environments. When your organization’s solution has been iterated on and is ready to scale, the MicroStrategy Cloud seamlessly scales to tens of thousands of users, no matter where your data resides. And as the first fully containerized business intelligence and analytics solution in the world pending FedRAMP Certification in 2022, organizations have 100% confidence knowing their data is secured under the highest-grade controls and best practices the BI and analytics industry has to offer.