Today’s Halloween, but data doesn’t have to be scary.
Whatever hair-raising challenges you face on a daily basis, DRIVE/ will help you focus on the spellbinding world of analytics and better understand the transformative power of data.
Just like Halloween, the DRIVE/ 2019 in Baltimore will be full of tricks to better manage your data, as well as some real treats—like enchanting keynotes and spine-tingling tech demonstrations.
Whether you arrive by broomstick or ghost train, find out how far you can go at DRIVE/. Get prepared and reserve your seat today!
Save the Date: Arrive early on March 11 and treat yourself to OverDRIVE, a specialized event presented by APRA devoted to data science happening the day before DRIVE/ 2019. Keep an eye out for more information to come soon!
After years of using various platforms, I recently decided to transition and consolidate my project workspaces into a knowledge-focused blog to build community, support and thought leadership around the identification, collection and distribution of useful tips and resources, which often lead to follow-up research, discovery, insight and (eventually) knowledge.
Most projects begin with a simple business question: “Where is the untapped potential in these markets?” or “Which prospects are generating the most revenue relative to my portfolio?” or “Which accounts should I transfer out of my portfolio?” or “What are the next recommended actions to meet my goals?” or “Where should I spend my time, focus and energy?”
While the path to transforming data and insights into knowledge often begins with these types of linear, “top-down” lines of inquiry, the actual process of generating useful recommendations and decision support often requires a circuitous and sometimes recursive (nested) approach to analyzing multiple types of factors or dimensions before identifying an emergent pattern or theme:
This site will be dedicated to documenting and sharing various examples of data analytics workflow, automation, scripts, code snippets, as well as any other types of business intelligence tools that promote efficiency, data-driven insights, and decision support to support the underlying goal of adding organizational value.