Analytics & Insights
Five Reasons Data Science Projects Fail
The difference between a transformational project and a resource drain lies not in the algorithms, but in the integration.Read More
Author: Ian Foley
Driven by stay-at-home orders and the continued risks associated with the COVID-19 pandemic, much of the business world shifted to working remotely almost overnight. We immediately focused on ensuring employees had the virtual meeting and collaboration technologies needed to work remotely. With that in place, now is the time to focus on enabling remote data workers with technology, resources, and processes so they can provide the insights necessary to lead you through these uncertain economic conditions.
Long a goal of data and analytics initiatives, self-service is now essential for providing your data workers with the data and insights they need. Your IT and development teams are likely overwhelmed. By the time they can get to curating a dataset, writing a query, or developing a report, the original need for the data has likely passed or changed.
Here are some things you can do to enable or improve self-service in your organization:
If data is needed now more than ever, the risk of misusing data is also higher than ever. Like any risk management process, a flexible data governance capability in your organization will help reduce the risk of data misuse and increase the potential value of your data. During these times, consider these things especially when it comes to data governance.
Corporate systems, tools, and infrastructure are all bending from the increased stress of a remote workforce. Now is an optimal time to consider the investment you can make to scale your data and analytics technology stack using the current strains as a proving ground.
Data workers can provide critical insights needed to navigate these opaque and challenging economic conditions. Now is the time to remove barriers from their day-to-day and truly enable your data workers to lead you through the storm.
Ian Foley co-leads RevGen’s Analytics and Insights practice. He is passionate about enabling his client’s success in their data journey.