
This report outlines what value stream management is and how leaders, from portfolio managers to release managers, utilize it to improve the entire software delivery process.
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Getting Agile+DevOps adoption to scale at enterprise levels in order to control, manage, and deliver software products continuously requires more than ad hoc integration of tools, Excel sheets, and manual handoffs between continuous delivery stakeholders. App dev leaders must support product owners in maximizing value delivered, eliminate waste where possible, and increase end-to-end delivery agility while keeping quality high. Value stream practices and tools are emerging to support just that: end-to-end continuous delivery.
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This webinar shows attendees how to optimize Forrester’s research and resources when evaluating and selecting a value stream management (VSM) platform.Key takeaways:Explore a list of the key players in the VSM market.Learn how to maximize Forrester’s research and resources, particularly the recent VSM Wave, to identify the right VSM platform for your organization.Vendors: Atlassian, Broadcom, CloudBees, ConnectALL, Digital.ai, GitLab, Harness, HCLSoftware/IBM, Jellyfish, Micro Focus, Planview, Plutora, ServiceNow, ZenhubTarget audience level: all levels
In 2022, Web3 frequently dominated the headlines for all the wrong reasons. Leaving aside the travails of centrally controlled entities, hardly a day went by without some form of exploit that resulted in (sometimes considerable) funds being exfiltrated from protocols and services running on public blockchains. Fundamental Web3 design and governance issues also had unwanted side effects. This matters, even if Web3 or decentralized finance (DeFi) as such aren't on your agenda for 2023: Any enterprise engaged in, or planning, NFT-related activities may end up suffering the consequences of basic security deficiencies.Key takeaways:Hear about the most serious security breaches of 2022 and what caused them.Learn what you can do to prevent such incidents, or at least mitigate the consequences.Understand why Web3 won’t succeed unless there's a step change in how process designers and developers approach security. Target audience level: beginner and intermediate
So, your enterprise wants to become data-driven. You can implement the best data platforms, hire great people, and use the most sophisticated analysis techniques, but it’s all for naught if faulty analysis and human cognitive biases get in the way. The result? Poor business insights and data-driven decisions. Join this webinar to learn about seven data analysis failures to avoid. How many of these seven do you and/or your organization succumb to?Key takeaways: How human cognitive biases can lead to poor data analysis Seven data analysis failures to avoid (or exploit) Target level audience: beginner and intermediate