Software Asset Management (SAM) Is a Source of Truth
Agencies must balance the increased cost of funding their digital transformations with the potential productivity and operational gains within daily workflows, says Jesse Stockall, chief architect at Snow Software.
Unnecessary tech spending can and should be funneled into innovation and digital transformation initiatives with the help of SAM, IT asset management and other tools that can surface opportunities for optimization.
“While SAM can be undeniably complicated, it and ITAM tools give teams the ability to access a reliable, accurate source of truth,” Stockall says. “This offers IT teams automated discovery, inventory and usage data in key areas of the business, including enterprise applications, SaaS applications, cloud infrastructure and hardware.”
From there, the tools move into data normalization and augmentation, where they recognize, categorize and append the information to offer useful analysis, insights and recommendations for IT teams.
“With a fresh, accurate overview of usage, organizations can right-size their technology investments to tactfully minimize costs across a vast IT estate," Stockall says.
DISCOVER: Automated, third-party IT assessments are saving agencies money.
The primary way that SAM tools help streamline spending and identify cost savings is by giving organizations a holistic view of their application environment.
Without visibility into how technology is being used across an organization, redundant or unused software licenses are likely to slip under the radar, silently driving up overall spend.
“By leveraging the insights provided by SAM solutions, organizations can eliminate unnecessary licenses and identify and optimize those that are actually in use,” Stockall says.
The increased visibility that comes with effective SAM practices also plays an important role in pinpointing the most critical vulnerabilities and unsanctioned applications in the IT landscape. Armed with this data, security professionals can help their organizations prioritize where to focus patch management efforts. This can result in smaller attack surfaces and notable reductions in overall security risk.
MORE FROM FEDTECH: Learn how improved cyber logging gives agencies better network visibility.
Supercharging Software Asset Management with AI
SAM has traditionally been a manual, time-consuming process, but advancements in generative artificial intelligence and machine learning have ushered in a new paradigm of human-computer interaction that embraces the time and cost savings that automation and enhanced decision-making bring.
“Organizations everywhere are harnessing AI/ML algorithms to proactively manage and refine their IT practices with the goal of more efficiently tackling escalating challenges in visibility, complexity, compliance and cost control," Stockall says.
Traditionally, accurate forecasting of asset demand and budget has been nearly impossible, but AI/ML tools can crunch mass quantities of historical data in a fraction of the time that it would take an individual and generate reliable insights into future user behavior and industry trends.
“If federal agencies had the time, money and additional resources that are currently being wasted, they could create better, more informed strategies to optimize operations and ultimately better serve their customer base,” Stockall says.