A lesson by Bobb Drake.
NI (formerly known as National Instruments) is a multinational corporation that produces automated test equipment and virtual instrumentation software. The company offers two lines of products, including engineering software and hardware platforms. They provide integration for modular hardware and open, flexible software systems to consistently support the evolving test and measurement needs of organizations around the world.
Founded in 1976, and headquartered in Austin, Texas, the company has sales and support offices in about 45 countries. Sales outside the US accounted for approximately 63% of NI revenues in each of the past three years. As of December 31, 2019, NI had more than 7,300 employees worldwide and 35,000 customer accounts.
Global culture: The localization team has evolved organically from using a local strategy to creating global content.
Deep integration: Marketing and R&D localization teams merged to create a brand new Language Services group that works closely with content creators.
Close internal collaboration: The localization department collaborates with both technical writers and developers, aiming for efficiencies in process and technology.
Experience: In addition to internal growth, the team is now focused on developing partnership opportunities with other companies to share information and best practices.
Ah, sales... It’s equal parts black magic, sweat and tears, logic, with a bit of luck sprinkled in to make things interesting (and unpredictable). Sales is a process, however, albeit one that is far from straightforward to grasp without proper training.
Founded in San Francisco in 2006, Eventbrite is an online ticketing platform that supports all events, from free community rallies to music festivals and seminars.
Data-driven decision-making is the process of making organizational and strategic decisions based on actual objective data instead of on intuition or observations. Today, every company in every industry aims to minimize the likelihood of business decisions going awry. Data is usually the answer.