A century ago, the most valuable resource was oil. Companies rushed to mine the oil, process it, sell it and influence the dependencies on it, ultimately growing the macroeconomy and other industries with the additional mobility gained by consumers. The oil of the 21st century is data.
At its most basic, a firewall is the barrier that sits between a private internal network and the public internet. It was invented in the 1980s and soon became the most important line of defense for organizations against cyber attacks. Its main purpose is to keep dangerous traffic out. We took this concept and applied it to data. This means our Data Firewall’s main purpose is to keep bad data out. We profile and analyze your data, ultimately using our understanding to improve your data’s quality by filtering and quarantining the bad data.
Bad data. It sounds simple; it’s just inaccurate data or data that goes to the wrong place, right? Not quite. Even true data can be bad data. It may even be correct in every way— but duplicated or in the wrong field or simply not what you’re looking for. This is indeed bad data. Those small glitches in the system are where huge mistakes can arise. In today’s world that relies so heavily on data, bad data needs to be monitored to prevent it from spiraling into countless financial, operational, and reputational damage.