Latest news with #Flexera
Yahoo
24-06-2025
- Business
- Yahoo
Flexera Announces Chris Andersen as Chief Financial Officer to Advance Strategic Growth, AI and Data-Driven Innovation
Chris Andersen ITASCA, Ill., June 24, 2025 (GLOBE NEWSWIRE) -- Flexera, the global leader in technology spend and risk management, today announced the appointment of Chris Andersen as Chief Financial Officer (CFO). Andersen will lead the global finance organization for Flexera and its Revenera division, playing a pivotal role in scaling the company's long-term growth and innovation agenda—anchored in platform-driven insights, artificial intelligence (AI), and deep data intelligence. Andersen brings over 25 years of financial leadership experience in enterprise software, with a proven track record of driving operational scale, executing strategic capital plans and leading transformative initiatives in high-growth environments. Most recently, he served as CFO of Acquia, where he guided the company to sustained profitability, oversaw multiple successful acquisitions and supported Vista Equity Partners' majority acquisition in 2019. 'Chris is an outcome-oriented finance leader with a sharp eye for unlocking value at the intersection of technology, data and operational excellence,' said Jim Ryan, CEO of Flexera. 'His experience scaling modern software companies—and integrating advanced analytics and automation into financial and strategic planning—makes him uniquely equipped to support our expansion across FinOps, ITAM, SaaS Management and our rapidly evolving AI-powered platform.' Prior to Acquia, Andersen held senior financial roles at Akamai Technologies, Progress Software and Novell. He currently services on the Bain Capital Ventures CFO Advisory Board, where he contributes to shaping the next wave of finance leadership in the software sector. 'Flexera is uniquely positioned at the convergence of IT asset intelligence, cost optimization and AI-driven decision-making,' said Andersen. 'I'm excited to join at this moment of inflection—helping to scale a category-defining platform that empowers enterprises to harness their technology data, automate control, and drive smarter outcomes.' Andersen's appointment reflects Flexera's focus on expanding its executive bench to support the company's innovation in FinOps, ITAM and SaaS Management—where AI, automation and actionable technology insights are central to our customer value. Follow Flexera on LinkedIn on X (formerly Twitter) on Instagram About Flexera Flexera helps organizations understand and maximize the value of their technology, saving billions of dollars in wasted spend. Powered by the Flexera Technology Intelligence Platform, our award-winning IT asset management, FinOps and SaaS management solutions provide comprehensive visibility and actionable insights on an organization's entire IT ecosystem. This intelligence enables IT, finance, procurement, FinOps and cloud teams to address skyrocketing costs, optimize spend, mitigate risk and identify opportunities to create positive business outcomes. More than 50,000 global organizations rely on Flexera and its Technopedia reference library, the largest repository of technology asset data. Learn more at About Revenera Revenera helps product executives build better products, accelerate time to value and monetize what matters. Revenera's leading solutions help software and technology companies drive top line revenue with modern software monetization, understand usage and compliance with software usage analytics, empower the use of open source with software composition analysis and deliver an excellent user experience—for embedded, on-premises, cloud and SaaS products. To learn more, visit For more information, contact: Ciri Haugh Flexera publicrelations@ A photo accompanying this announcement is available at in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Yahoo
18-06-2025
- Business
- Yahoo
IT Teams are Losing Visibility as Tech Cost Pressures Mount, According to Flexera 2025 State of ITAM Report
New industry report highlights growing SaaS waste, persisting audit costs and evolving priorities as ITAM teams navigate increasing financial scrutiny ITASCA, Ill., June 18, 2025 (GLOBE NEWSWIRE) -- Flexera, the global leader in technology spend and risk management, today released the Flexera 2025 State of ITAM Report, which reveals a concerning decline in complete visibility across the technology stack - down to 43% from 47% year-over-year. Yet, as pressure mounts to optimize costs, the collaboration of IT asset management (ITAM) with cloud (44%) and FinOps (38%) teams is on the rise, suggesting that ITAM teams are increasingly working across organizational silos to address comprehensive visibility challenges, increase financial accountability and drive operational efficiency. Flexera's annual report surveys global IT professionals to explore how the evolution of ITAM, FinOps, security, software asset management (SAM) and hardware asset management (HAM) teams influences the value they deliver. It also examines IT investment trends across public, hybrid, and SaaS technologies. 'Complete visibility across IT assets is foundational to every good technology decision,' said Becky Trevino, Chief Product Officer at Flexera. 'The fact that it's slipping at a time when organizations are under intense pressure to rationalize costs is a real concern. You can't optimize what you can't see and without clear insight into the entire technology stack, it's nearly impossible to eliminate waste, ensure compliance, or make cost-effective investment decisions. This year's report showcases why the collaboration between ITAM and FinOps is no longer optional—it's a strategic imperative.' Highlights from the latest Flexera State of ITAM Report include: Minimizing SaaS sprawl is an increasing imperative: Thirty-five percent of respondents say SaaS waste has increased over the past year, suggesting that the financial impact of underutilized SaaS subscriptions is taking a toll on budgets. In addition, SAM professionals are doubling down on SaaS oversight, with 59% actively tracking usage and 56% rightsizing contracts and subscriptions to eliminate unnecessary spend. Software use rights take the spotlight: The report also highlights a dramatic rise in the challenge of managing software use rights—now ranked as the number one concern for SAM teams, up from sixth place just a year ago. This surge is largely attributed to the growing complexity of cloud-based licensing models and the rapid migration of enterprise resources to cloud environments. Audits still plague organizations (and their bottom line): Nearly half (45%) of surveyed organizations report spending over $1 million on software audits over the past three years, a figure one percentage point less than 2024. Twenty-three percent of organizations spent more than $5 million on audits in 2025, a slight increase from 2024. The findings suggest that the intricacies of software use rights and the continued shift to the cloud are keeping audit defense high on the agenda of IT teams. Microsoft continues audit streak: Half of respondents said Microsoft audited their organization in the past three years. The tech giant has remained at the top of this list for the past several reports, followed closely by IBM (37%). There was a slight increase in audits reported from SAP (32%) and ServiceNow (21%) compared to last year's findings. Adobe (24%) remained unchanged, but Oracle decreased from 31% to 24% and Salesforce dropped from 25% to 20% year over year. This year's findings underscore the urgent need for smarter, more agile SAM strategies as organizations strive to balance innovation with fiscal responsibility. 'The role of ITAM is shifting from operational to transformational,' said Phil Perfetti, senior product marketing manager at Flexera. 'While visibility into cloud licenses is gradually improving, the complexity of managing hybrid IT environments is also increasing, and any serious blind spots are a problem that modern organizations can no longer afford.' The full survey results are available in the Flexera 2025 State of ITAM Report, which explores the thinking of 506 global IT professionals across industries and context areas. To download the full report, please visit: Follow Flexera on LinkedIn on X (formerly Twitter) on Instagram About Flexera Flexera helps organizations understand and maximize the value of their technology, saving billions of dollars in wasted spend. Powered by the Flexera Technology Intelligence Platform, our award-winning IT asset management, FinOps and SaaS management solutions provide comprehensive visibility and actionable insights on an organization's entire IT ecosystem. This intelligence enables IT, finance, procurement, FinOps and cloud teams to address skyrocketing costs, optimize spend, mitigate risk and identify opportunities to create positive business outcomes. More than 50,000 global organizations rely on Flexera and its Technopedia reference library, the largest repository of technology asset data. Learn more at For more information, contact: Ciri HaughFlexerapublicrelations@ in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Forbes
18-06-2025
- Business
- Forbes
Data products and services are playing a new role in business.
Data mechanics isn't an industry. Discussion in this space tends to gravitate around the notion of 'data science' as a more pleasing umbrella term. Perhaps borrowing half its name from the core practice of computer science (the label usually put on university studies designed to qualify software application developers who want to program), there is a constant push for development in the data mechanics and management space, even though we're now well over half a century on from arrival of the first database systems. Although data mechanics may not be an industry, it is (in various forms) a company. Data-centric cloud platform company NetApp acquired Data Mechanics back in 2021. Known as a managed platform provider for big data processing and cloud analytics, NetApp wanted Data Mechanics to capitalize on the growing interest in Apache Spark, the open source distributed processing system for big data workloads. But the story doesn't end there, NetApp sold off some of its acquisitions that work at this end of the data mechanics space to Flexera, which makes some sense as NetApp is known for its storage competencies and as the intelligent data infrastructure company, after all. Interestingly, NetApp confirmed that the divestiture of technologies at this level will often leave a residual amount of software engineering competencies (if not perhaps intellectual property in some organizations on occasions) within the teams that it still operates, so these actions have two sides to them. NetApp is now turning its focus to expanding its work with some major technology partners to provide data engineering resources for the burgeoning AI industry. This means it is working with Nvidia on its AI Data Platform reference design via the NetApp AIPod service to (the companies both hope) accelerate enterprise adoption of agentic AI. It is also now offering NetApp AIPod Mini with Intel, a joint technology designed to streamline enterprise adoption of AI inferencing - and that data for AI thought is fundamental. If there's one very strong theme surfacing in data mechanics right now, it's simple to highlight - the industry says: okay you've got data, but does your data work well for AI? As we know, AI is only as smart as what you tell it, so nobody wants garbage in, garbage out. This theme won't be going away this year and it will be explained and clarified by organizations, foundations, evangelists and community groups spanning every sub-discipline of IT from DevOps specialists to databases to ERP vendors and everybody in between. Operating as an independent business unit of Hitachi, Pentaho calls it 'data fitness' for the age of AI. The company is now focusing on expanding the capabilities of its Pentaho Data Catalog for this precise use. Essentially a data operations management service, this technology helps data scientists and developers know what and where their data is. It also helps monitor, classify and control data for analytics and compliance. "The need for strong data foundations has never been higher and customers are looking for help across a whole range of issues. They want to improve the organization of data for operations and AI. They need better visibility into the 'what and where' of data's lifecycle for quality, trust and regulations. They also want to use automation to scale management with data while also increasing time to value," said Kunju Kashalikar, product management executive at Pentaho. There's a sense of the industry wanting to provide back-end automations that shoulder the heavy infrastructure burdens associated with data wrangling on the data mechanic's workshop floor. Because organizations are now using a mix of datasets, (some custom-curated, some licenced, some anonymized, some just plain old data) they will want to know which ones they can trust at what level for different use cases. Pentaho's Kashalikar suggests that those factors are what the company's platform has been aligned for. He points to its ability to now offer machine learning enhancements for data classification (that can also cope with unstructured data) designed to improve the ability to automate and scale how data is managed for expanding data ecosystems. These tools also offer integration with model governance controls, this increases visibility into how and where models are accessing data for both appropriate use and proactive governance. The data mechanics (or data science) industry tends to use industrial factory terminology throughout its nomenclature. The idea of the data pipeline is intended to convey the 'journey' for data that starts its life in a raw and unclassified state, where it might be unstructured. The pipeline progresses through various filters that might include categorization and analytics. It might be coupled with another data pipeline in some form of join, or some of it may be threaded and channelled elsewhere. Ultimately, the data pipe reaches its endpoint, which might be an application, another data service or some form of machine-based data ingestion point. Technology vendors who lean on this term are fond of laying claim to so-called end-to-end data pipelines, it is meant to convey breadth and span. Proving that this part of the industry is far from done or static, data platform company Databricks has open sourced its core declarative extract, transform and load framework as Apache Spark Declarative Pipelines. Databricks CTO Matei Zaharia says that Spark Declarative Pipelines tackles one of the biggest challenges in data engineering, making it easy for data engineers to build and run reliable data pipelines that scale. He said end-to-end too, obviously. Spark Declarative Pipelines provide a route to defining data pipelines for both batch (i.e. overnight) and streaming ETL workloads across any Apache Spark-supported data source. That means data sources including cloud storage, message buses, change data feeds and external systems. Zaharia calls it a 'battle-tested declarative framework' for building data pipelines that works well on complex pipeline authoring, manual operations overhead and siloed batch or streaming jobs. 'Declarative pipelines hide the complexity of modern data engineering under a simple, intuitive programming model. As an engineering manager, I love the fact that my engineers can focus on what matters most to the business. It's exciting to see this level of innovation now being open sourced, making it more accessible,' said Jian Zhou, senior engineering manager for Navy Federal Credit Union. A large part of the total data mechanization process is unsurprisingly focused on AI and the way we handle large language models and the data they churn. What this could mean for data mechanics is not just new toolsets, but new workflow methodologies that treat data differently. This is the view of Ken Exner, chief product officer at search and operational intelligence company Elastic. 'What IT teams need to do to prepare data for use by an LLM is focus on the retrieval and relevance problem, not the formatting problem. That's not where the real challenge lies,' said Exner. 'LLMs are already better at interpreting raw, unstructured data than any ETL or pipeline tool. The key is getting the right private data to LLMs, at the right time… and in a way that preserves context. This goes far beyond data pipelines and traditional ETL, it requires a system that can handle both structured and unstructured data, understands real-time context, respects user permissions, and enforces enterprise-grade security. It's one that makes internal data discoverable and usable – not just clean.' For Exner, this is how organizations will successfully be able to grease the data mechanics needed to make generative AI happen. It by unlocking the value of the mountains of (often siloed) private data that they already own, that's scattered across dozens (spoiler alert, it's actually often hundreds) of enterprise software systems. As noted here, many of the mechanics playing out in data mechanics are aligned to the popularization of what the industry now agrees to call a data product. As data now becomes a more tangible 'thing' in enterprise technology alongside servers, applications and maybe even keyboards, we can consider its use as more than just information; it has become a working component on the factor floor.
Tahawul Tech
14-05-2025
- Business
- Tahawul Tech
IT solutions Archives
A recent report which was jointly prepared by IDC and Flexera, reveals that organisations form deep-seated opinions about software vendors based on a wide spectrum of criteria – factors that vendors should take note and be aware of as they develop, launch and support their products.
Yahoo
04-04-2025
- Business
- Yahoo
Latest News In Cloud AI - Optimizing Cloud Costs Flexera's Latest Management Tool
Flexera has introduced Cloud License Management, a solution designed to enhance the management of cloud software expenditures, which have become a significant concern for organizations with cloud spend challenges surpassing even security issues. This new tool allows organizations to gain a comprehensive understanding of their cloud software investments across platforms like Amazon Web Services and Microsoft Azure. By providing a unified view of cloud software spend, along with actionable insights, Flexera aims to help enterprises optimize their cloud software costs, ensure compliance, and prevent waste. According to recent surveys, effective management of cloud software can lead to significant savings, highlighting the necessity for tools like Cloud License Management in the rapidly evolving Cloud AI landscape. last closed at $373.11 down 2.4%, not far from its 52-week low. Elsewhere in the market, was a standout up 3.7% and ending the day at CN¥2.77. Meanwhile, trailed, down 19.7% to close at $38.26. Microsoft's rapid AI expansion and strategic partnerships drive significant potential growth. Click here to explore the full narrative on this compelling opportunity. Explore our "Market Insights" article for a deep dive into how DeepSeek's breakthroughs could transform Cloud AI investing—don't miss out! closed at $150.72 down 4%, close to the 52-week low. closed at $32.32 down 7.9%. closed at $203.19 down 9.2%. Gain an insight into the universe of 151 Cloud AI Stocks, among which are Advantech, Scout24 and Reply, by clicking here. Looking For Alternative Opportunities? Outshine the giants: these 24 early-stage AI stocks could fund your retirement. This article by Simply Wall St is general in nature. We provide commentary based on historical data and analyst forecasts only using an unbiased methodology and our articles are not intended to be financial advice. It does not constitute a recommendation to buy or sell any stock, and does not take account of your objectives, or your financial situation. We aim to bring you long-term focused analysis driven by fundamental data. Note that our analysis may not factor in the latest price-sensitive company announcements or qualitative material. Simply Wall St has no position in any stocks mentioned. Sources: Simply Wall St "Flexera Launches Cloud License Management to Empower ITAM and FinOps to Save Up to 25% Off Their Cloud Bill" from Flexera on GlobeNewswire (published 02 April 2025) Companies discussed in this article include SZSE:000564 NasdaqGS:MSFT NasdaqGS:GOOGL NasdaqGS:SMCI NasdaqGS:AAPL and NasdaqGS:SNDK. Have feedback on this article? Concerned about the content? with us directly. Alternatively, email editorial-team@
