Here at Zacks, our focus is on the proven Zacks Rank system, which emphasizes earnings estimates and estimate revisions to find great stocks. Nevertheless, we are always paying attention to the latest value, growth, and momentum trends to underscore strong picks.
Here at Zacks, our focus is on the proven Zacks Rank system, which emphasizes earnings estimates and estimate revisions to find great stocks. Nevertheless, we are always paying attention to the latest value, growth, and momentum trends to underscore strong picks.
Here at Zacks, our focus is on the proven Zacks Rank system, which emphasizes earnings estimates and estimate revisions to find great stocks. Nevertheless, we are always paying attention to the latest value, growth, and momentum trends to underscore strong picks.
| Name | Quantity | Cost | Value | Profit ($) | Gain (%) |
|---|---|---|---|---|---|
| CE Curtis Ellergodt Rothschild Investment LLC | 116 | $2,053.31 | $1,237.72 | -$815.59 | -39.72% |
| JD Jim Dushek HARBOUR INVESTMENTS Inc. | 11 | $68.31 | $117.59 | $49.28 | 72.14% |
| SN Stephanie Nee HARBOR CAPITAL ADVISORS Inc. | 27,520 | $466,355.99 | $293,776 | -$172,579.99 | -37.01% |
| BG Bart Gancher Intech Investment Management LLC | 19,231 | $342,696.14 | $205,196.69 | -$137,499.45 | -40.12% |
Point72 Asset Management LP Point72 Asset Management LP | 653,841 | $4.06M | $6.93M | $2.87M | 70.69% |
| Name | Quantity | Cost | Value | Profit ($) | Gain (%) |
|---|---|---|---|---|---|
| KC Kingsley Crane Canaccord Genuity | 2,888.37 | $28,504.17 | $30,862.22 | $2,358.05 | 8.27% |
| Software Industry | Information Technology Sector | Jennifer G. Tejada CEO | NYSE Exchange | 69553P100 CUSIP |
| US Country | 1,242 Employees | - Last Dividend | - Last Split | 11 Apr 2019 IPO Date |
PagerDuty, Inc. is a global leader in digital operations management, with a presence in the United States and abroad. Since its inception in 2009, PagerDuty has revolutionized the way businesses manage their digital ecosystems. By integrating data and digital signals from almost any software-enabled system or device, the company offers a sophisticated platform that employs machine learning to efficiently process, correlate, and predict potential opportunities and problems. This innovative approach allows organizations to maintain a real-time overview of their digital services' status, significantly reducing downtime and improving overall operational efficiency. Headquartered in San Francisco, California, PagerDuty serves a diverse range of industries, including technology, telecommunications, retail, travel, entertainment, and finance.
This service provides organizations with a comprehensive real-time view of their digital service status while effectively reducing unnecessary noise by eliminating false positives. It's designed to help IT and DevOps teams quickly identify and resolve incidents, ensuring minimal disruption to services.
PagerDuty’s AIOps utilizes advanced machine learning algorithms to correlate millions of events into actionable insights. This automation helps in the rapid identification of incidents, significantly reducing the time and effort required for resolution.
This offering streamlines the orchestration of automated workflows across departments, technologies, and networks. Its centralized design and runtime environment enable seamless process automation, aiding businesses in enhancing efficiency and reliability.
Specifically tailored for customer service teams, this product facilitates the orchestration, automation, and scaling of responses to customer-impacting issues. It aims to improve the overall customer experience by ensuring timely and effective issue resolution.