Two years ago, I found myself the proud, first-time owner of a garage. My wife and I quickly started to add new items to the garage – a battery-powered lawn mower, two beach cruisers and four Tommy Bahama beach chairs. They were stored with ease. What a fantastic world I'd been missing out on. But it wasn't long before we outstripped our existing garage storage system's (GSS) capacity by adding new items like a surfboard, soccer goals and kid bikes. I could squeeze the bikes in there, but the surfboard was much larger than anything else I had stored in this system. Storing and retrieving objects soon became complicated, frustrating and time-intensive.
Next, I found myself fascinated by Rubbermaid FastTrack, a GSS that consists of numerous three- to six-foot bands of steel that you bolt onto the studs in your garage walls. You then hang overpriced hooks, ball bins and bike holders from these steel bands.
As I was hanging these tracks in the 95-degree heat last summer, I had fever dreams of how this garage storage problem was similar to the challenges of data modernization. And how, similar to homeowners, organizations struggle to modernize their data architecture to accommodate new and varying types and sizes of data at unprecedented rates. Read More