Databook’s main enterprise intelligence platform helps market teams quickly understand customers.
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Manhattan Active Customer Engagement
Score8 out of 10
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A solution focusing on providing call center and service agents information about when and why customers buy a brand's products, and that also lets customers use digital self-service to lighten the workload of agents. Agents are given access to complete customer histories, with a variety of tools united in a single agent dashboard.
Well Suited - Databook works well when you’re in a sales role focused on enterprise accounts. You often need a full view of a company’s priorities, financials, and strategic themes, and the tool gives you that context quickly without digging through multiple sources. Less Appropriate - It’s less useful when you’re working mid market or with fast growing smaller companies. The coverage and depth can be limited, so you may not find enough meaningful data to rely on. In those cases, manual research still ends up doing most of the work.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
The cloud-native technological architecture on which Manhattan Active WM is built is designed for scalability, flexibility, and easy upgradeability. A responsive user interface, which is available on a tablet or fixed station and supports several of these operations, provides the unified control capabilities of the system. Real-time data is shown in a variety of ways, including a global map of facilities, individual facility data, labor utilization, and tasks broken down by job function.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
I rated it a seven because the core insights are genuinely useful once you get to them, but the workflow isn’t always smooth. Finding the right accounts can be hit or miss and some sections feel a bit cluttered, so it takes time to get comfortable. When it works, it saves effort, but the experience could be more intuitive
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Databook stood out because the research layer felt deeper and more strategic. It surfaces context you don’t usually get from tools like ZoomInfo or Lusha, which are great for contact data but not for understanding a company’s priorities. I used those more often because they serve broader use cases and are available in most orgs, but Databook delivered a different type of insight when I needed a clearer narrative about an account.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Manhattan enables seamless business configuration and interoperability. Manhattan Associates' architectural principles will drive the creation of cloud-native apps. These principles were developed to ensure that Manhattan Associates' solutions could achieve the engineering velocity that its end clients demanded while also striving to reduce the cost of innovation. As a consequence, you are not obliged to wait for technology to catch up to your decision-making before introducing new goods and services to your customers.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
