Applying design thinking to data

Design thinking has been around since the 1960’s, but it really started gain influence in the early 90’s, when IDEO developed its design process grounded in problem solving and empathic thinking. IDEO is generally credited with bringing design thinking out of academia at the Stanford Design School (also known as and into the mainstream.Continue reading “Applying design thinking to data”

What does e-commerce for data really mean?

Transparency The way that data is sold today is extremely opaque. Unlike Software-as-a-Service companies (Slack, Stripe, Shopify, etc.), Data-as-a-Service companies almost never put their pricing on their website (SafeGraph is a stark exception). In fact, most don’t even put much about their product on their website. Instead, DaaS companies or companies that sell data “onContinue reading “What does e-commerce for data really mean?”

Why does everyone hate their data dictionary?

Why does everyone hate their data dictionary? A sort of meta-spreadsheet, a data dictionary on its face sounds like a relatively simple thing. It is a document describing the meaning of a dataset. Typically this includes field names and types (e.g. integer, unicode, float) and maybe some annotations that describe the lineage of the data (where did it come from) and the business definition. But as with many workflows that are captured in spreadsheets, things can go awry very quickly.

Introducing Syndetic

At Syndetic we make software for data companies. Syndetic literally means connective. It comes from the Greek word syndetikos, which means to bind together. We chose this name because data is connective. While it has become a cliche that data is the new oil, we actually see data as the connective tissue that binds companies to eachContinue reading “Introducing Syndetic”