Canner Enterprise Cloud
Canner | 3.1.0Linux/Unix, Ubuntu 18.04.6 LTS - 64-bit Amazon Machine Image (AMI)
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Making Data Management Hectic
What do you like best about the product?
Canner Enterprise Cloud has a web based interface, which makes it difficult to access. The user experience is obstructive making it difficult to navigate and get the hang of.
What do you dislike about the product?
It lacks features for cleaning up and removing data. This hinders decision making processes. The user interface of the platform isnt very intuitive which means new users face a learning curve when getting started.
What problems is the product solving and how is that benefiting you?
I feel that customer support needs to be more responsive and proactive in solving user concerns. It is unable to solve the problems of data integration and management. Its features decrease our business by complicating our data processing workflow.
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Canner Enterprise Cloud has obstructed us to manage our data
What do you like best about the product?
The fact that its web based makes it difficult to access. The learning curve is not designed to provide an user experience. There are aspects of Canner Enterprise Cloud that are not good at all.
What do you dislike about the product?
The platform doesnt provide customization options, which limits flexibility for businesses with data requirements. The user interface feesl overwhelming for users at first as there is a bit of a learning curve involved. The pricing structure isnt as transparent as we would like making it difficult to plan for the cost of the service.
What problems is the product solving and how is that benefiting you?
It has obstructed our workflow by not automating tasks and consuming ous hours of manual work. It lacks to simply integrate with our existing systems to provide us with a centralized platform.
Our team collaborated with Canner to integrate their technology platform
What do you like best about the product?
Cross-departmental database pipeline integration and automation: Previously, data analysis required 1-2 weeks of preparatory work, with an additional week for data retrieval requests. With the improvements, we can now update and process data immediately without human intervention, shortening processes and reducing personnel costs.
Redefined responsibilities and working areas for data analysts and systems: Revenue data is highly confidential, especially in core systems' databases. By implementing the virtual hub, non-accounting personnel and systems can only connect through it (read-only), with separate working areas and records. This enhances data control and meets compliance requirements.
Established lightweight Data Marts: Creating Data Marts is critical for data analysis but traditionally involved complex integration and normalization operations. With the virtual hub, each unit's systems can build their own Data Marts within authorized work areas without impacting others. This reduces redundant databases and decouples data layers.
Accelerated data access speed: Legacy systems with outdated data structures only provided limited access and often caused delays. By redesigning the systems and structures and leveraging the aforementioned processes, we significantly improved the speed and scope of data queries, enhancing user experience and reducing development time.
Redefined responsibilities and working areas for data analysts and systems: Revenue data is highly confidential, especially in core systems' databases. By implementing the virtual hub, non-accounting personnel and systems can only connect through it (read-only), with separate working areas and records. This enhances data control and meets compliance requirements.
Established lightweight Data Marts: Creating Data Marts is critical for data analysis but traditionally involved complex integration and normalization operations. With the virtual hub, each unit's systems can build their own Data Marts within authorized work areas without impacting others. This reduces redundant databases and decouples data layers.
Accelerated data access speed: Legacy systems with outdated data structures only provided limited access and often caused delays. By redesigning the systems and structures and leveraging the aforementioned processes, we significantly improved the speed and scope of data queries, enhancing user experience and reducing development time.
What do you dislike about the product?
The interface can only be accessed through the web, and we aim to optimize the user experience and learning curve in terms of usability.
What problems is the product solving and how is that benefiting you?
Our team collaborated with Canner to implement their platform, significantly reducing the threshold and time cost of optimizing and implementing workflows for our team members. Through the virtual data hub concept, we improved the data mindset of team members, resulting in substantial improvements in work efficiency. Each aspect, including processes, technology, and team culture, is essential, and the tools serve as accelerators.
Review from Eslite company
What do you like best about the product?
Canner Enterprise Cloud has been instrumental in helping us streamline our data management processes, by providing a centralized platform that enables us to unify data from different sources and eliminate data silos. As a result, we have been able to significantly reduce the time and effort required to access and utilize data across our organization.
What do you dislike about the product?
None!
This is a helpful data platform that our user or data scientist could save their time and effort to process or get correct data.
This is a helpful data platform that our user or data scientist could save their time and effort to process or get correct data.
What problems is the product solving and how is that benefiting you?
The data unification capabilities of Canner Enterprise Cloud have been nothing short of impressive. We can now easily combine data from different sources without having to worry about compatibility issues or complex integration processes, resulting in a significant reduction in time and effort.
Review of CannerFlow
What do you like best about the product?
Real-time data ingestion and simplify complex data structures. It also helps eliminate data pipeline.
What do you dislike about the product?
Nothing to say as of now.. it's amazing tool.
What problems is the product solving and how is that benefiting you?
It collects scattered data to one source
And thus helping to manage workflow. It also helps data preparation for AI and ML prototype.
And thus helping to manage workflow. It also helps data preparation for AI and ML prototype.
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