Atos
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Haystack Analytics
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Haystack is a real-time delivery analytics platform designed for engineering leaders like CTOs, VPs of Engineering, Directors of Software Engineering, and Engineering Managers. Haystack provides actionable insights that enable data-driven decision-making, aligning engineering performance with business objectives. Haystack platform integrates seamlessly with essential developer tools like GitHub and JIRA, offering a comprehensive view of team productivity and delivery efficiency.
Leading companies like AngelList, Shutterstock, Schneider Electric, and many more trust Haystack to optimize their development processes. By transforming historical Git data into objective insights, we help you identify bottlenecks and visualize trends, ensuring timely project delivery and sustained business growth. Our analytics dashboard allows you to monitor critical metrics such as cycle time, making it easier to spot inefficiencies before they escalate into costly delays.
Haystack helps engineering leaders to mitigate risks and improve workflow efficiency. With a unified view of the entire delivery lifecycle, you can track KPIs, compare performance trends, and make informed decisions that drive measurable outcomes. Our platform goes beyond merely measuring productivity; it equips you with the tools to foster continuous improvement and innovation within your teams.
Designed to scale with your organization, Haystack is the competitive advantage that data-driven engineering teams need to thrive. By leveraging analytics, you can transform your engineering operations, enhance collaboration, and accelerate your path to market success. Join top companies in harnessing the power of Haystack for a more efficient and effective engineering process.
Haystack AnalyticsAtos is recommended for large enterprises and organizations needing robust IT infrastructure, cybersecurity solutions, and digital transformation services. It's also suitable for those seeking partnerships with a company emphasizing sustainability and industry innovation. Industries such as finance, healthcare, and manufacturing, which require intricate and secure IT solutions, stand to benefit significantly from Atos's expertise.
Haystack Analytics's answer:
Engineering Leaders and Managers
Based on our record, Atos should be more popular than Haystack Analytics. It has been mentiond 3 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
The hugely popular one I dealt with in my staffing job was called Atos, and their volume of business in the US was enormous. They covered Coca-Cola, Siemens (Atos used to be Siemens IT Services if I remember correctly), Nike, JP Morgan Chase, on and on. I have limited insight since I got out of agency recruiting as soon as I could, but they may be the big dog of all system integrators in the US, they seemed that... - Source: dev.to / over 3 years ago
Iโm Mark Ross, Lead Cloud Architect at Atos, specialising in AWS. Iโve been an AWS Ambassador since 2021 and joined the AWS Community Builder program in 2022. Iโve set-up an AWS focussed community interested in training, certification and working with AWS technologies with our customers, our Atos AWS Coaching Hub. Our most recent event is an AWS Deep Racer competition, to allow colleagues to get hands on... - Source: dev.to / almost 4 years ago
The company is working in the IT Professional field. Here's their site. Source: over 4 years ago
Heads up: site is not loading. Ios Safari & macOS Chrome. Mixed Content: The page at 'https://usehaystack.io/' was loaded over HTTPS, but requested an insecure favicon 'http://www.usehaystack.io/favicon.ico'. This request has been blocked; the content must be served over HTTPS. - Source: Hacker News / over 5 years ago
Hey HN! I'm Julian, co-founder of Haystack (https://usehaystack.io). Weโre building one-click dashboards and alerts using Github data. While managing teams from startups to more established companies like Cloudflare, my cofounder Kan and I were constantly trying to improve our team and process. But it was pretty tough to tell if our efforts were paying off. Even tougher to tell where we could improve. We tried... - Source: Hacker News / over 5 years ago
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