How To Audit Your Company's Technology Stack
What is a tech stack or platform?
No single software tool can accomplish everything a business needs. Successful companies leverage numerous apps and build a technology stack ("tech stack") or platform to achieve their business goals. According to HubSpot Partner Denamico, a tech stack or platform is defined as “a group of technology-based tools that help businesses to operate effectively, market efficiently, and enable sales and service teams to provide an optimal customer experience.”
It should be noted that “tech stack” has been used, traditionally, to refer to a “set of technologies an organization uses to build a web or mobile application,” including “programming languages, frameworks, libraries, patterns, servers, UI/UX solutions, software, and tools used by its developers,” according to Stackshare. While this definition is valid, this article is much more focused on the SaaS apps (such as HubSpot, Vidyard, Zoom, etc.) that businesses use to operate, rather than developer tools alone.
As your business adapts and grows, your tech stack will change as you seek to maximize efficiency and lower costs. Blissfully reports that an individual employee used an average of eight apps in 2019, and companies with 200-501 employees used approximately 123 apps.
With so many choices, how do you decide which apps are most fundamental to your business growth? In this blog post, we’ll review the importance of auditing your tech stack or platform and the steps you can take to complete an audit today.
Why is it important to audit your tech stack or platform?
When it comes to your company’s platform needs, there isn’t a one-size-fits-all solution. Each company has unique goals, offerings, and challenges. On the flip side, there are new apps and updates being launched every day, which is why we recommend auditing your tech stack on a regular cadence. By reviewing the apps your business uses, you may discover ways to:
Save employees time
Save money on apps
Consolidate apps
Maintain a single source-of-truth for data
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