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K2View Powers a Unified Customer View and Agentic AI Assistance
What do you like best about the product?
We utilize K2View for two primary strategic purposes within our organization:
Customer Data Product Hub: K2View acts as our central data fabric, consolidating and exposing complex information from multiple legacy systems into modern Data Products. These products are integrated directly into Salesforce, giving our representatives a unified, high-performance “single pane of glass” view of the customer while abstracting the complexity of our legacy back end.
Agentic AI Orchestration: We have implemented a full agentic AI workflow within the K2View platform to power our “Smart Representative Assistant.” By leveraging the existing Data Products, we built a personalized orchestration mechanism that allows representatives to query customer data using natural language. The system manages the full lifecycle—from intent analysis and LLM-driven query generation to data retrieval and final response synthesis—so interactions remain highly personalized and context-aware.
Customer Data Product Hub: K2View acts as our central data fabric, consolidating and exposing complex information from multiple legacy systems into modern Data Products. These products are integrated directly into Salesforce, giving our representatives a unified, high-performance “single pane of glass” view of the customer while abstracting the complexity of our legacy back end.
Agentic AI Orchestration: We have implemented a full agentic AI workflow within the K2View platform to power our “Smart Representative Assistant.” By leveraging the existing Data Products, we built a personalized orchestration mechanism that allows representatives to query customer data using natural language. The system manages the full lifecycle—from intent analysis and LLM-driven query generation to data retrieval and final response synthesis—so interactions remain highly personalized and context-aware.
What do you dislike about the product?
As we are currently serving as a beta site for K2View’s new Agentic AI solution, our main challenge is the environment’s current stability. Being at the forefront of this technology involves frequent system upgrades and ongoing adjustments, which can occasionally affect the consistency of our development and testing cycles.
That said, we see this as a natural part of the innovation process for such a pioneering solution. It’s important to note that, despite these early-stage stability issues, we remain highly satisfied with the platform’s core capabilities and the meaningful business value it delivers. We’re confident that as the solution continues to mature, these operational frictions will be addressed.
That said, we see this as a natural part of the innovation process for such a pioneering solution. It’s important to note that, despite these early-stage stability issues, we remain highly satisfied with the platform’s core capabilities and the meaningful business value it delivers. We’re confident that as the solution continues to mature, these operational frictions will be addressed.
What problems is the product solving and how is that benefiting you?
K2View helps us tackle two major architectural challenges in our environment.
Data fragmentation and legacy complexity: Our customer data used to be scattered across multiple legacy silos. K2View addresses this by providing a unified Data Product layer, which lets us expose a consistent 360-degree view of the customer directly in Salesforce. As a result, we can avoid high-risk point-to-point integrations and reduce our reliance on direct access to legacy systems.
Real-time AI contextualization: In a telecom enterprise, implementing GenAI is often slowed down by how hard it is to securely access real-time, personalized data at scale. K2View’s orchestration and micro-DB approach closes this “Context Gap” by enabling us to deliver precise, personalized data products to our LLM models in real time. This capability is the foundational engine behind our Smart Representative Assistant.
Data fragmentation and legacy complexity: Our customer data used to be scattered across multiple legacy silos. K2View addresses this by providing a unified Data Product layer, which lets us expose a consistent 360-degree view of the customer directly in Salesforce. As a result, we can avoid high-risk point-to-point integrations and reduce our reliance on direct access to legacy systems.
Real-time AI contextualization: In a telecom enterprise, implementing GenAI is often slowed down by how hard it is to securely access real-time, personalized data at scale. K2View’s orchestration and micro-DB approach closes this “Context Gap” by enabling us to deliver precise, personalized data products to our LLM models in real time. This capability is the foundational engine behind our Smart Representative Assistant.
Transformative Data Masking with Easy Setup
What do you like best about the product?
I like K2View for its advanced capabilities in data masking and its AI capabilities to get model data for any enterprise with a simple prompt. It makes my life easier by setting up the environment so I don't have to worry about the databases or the type of data I need to process. I find it very helpful because it works with different types of databases, accommodating both structural and non-structural DBs. What makes it valuable for me is its ability to easily work with non-structural databases and its inbuilt functions for data masking. Additionally, the automated environmental setup is very helpful.
What do you dislike about the product?
K2View as a product can be a bit overwhelming for anyone in general. It can be further simplified with some good video tutorials in my view.
What problems is the product solving and how is that benefiting you?
K2View simplifies my environment setup, handling different databases effortlessly. It streamlines data processing and masking, especially for non-structural databases, with in-built functions. Its automated setup saves time and effort compared to manual methods.
Coder-Friendly 360 Customer View That’s Easy to Work With
What do you like best about the product?
I like the 360 customer view, and I find it very coder-friendly and easy to work with.
What do you dislike about the product?
As its a new technology, new joiners might take some time to become productive.
What problems is the product solving and how is that benefiting you?
The 360 customer view brings all the data in LUs which increases the efficiency. It makes it easier to develop and test issues.
Efficient, Reusable Components with a Great UX
What do you like best about the product?
I think the UX is one of its greatest advantages. Being able to integrate many elements into my workflow makes it really efficient to create components with very little code and high reusability.
What do you dislike about the product?
There are too many elements to use, and it isn’t clear what each one is for, which makes the learning curve very steep.
What problems is the product solving and how is that benefiting you?
It could benefit me when I’m working and accessing multiple systems, without risking performance.
Guided, Hands-On Learning with Inclusive Support
What do you like best about the product?
I like that the learning on their platform was guided, and that at every step I was able to put into practice the things I learned.
What do you dislike about the product?
There isn’t much I dislike. They’re very inclusive and supportive, and they encourage you as you grow as an employee. You’re also presented with opportunities for promotion.
What problems is the product solving and how is that benefiting you?
Thanks to K2view, I’ve discovered a new way to manipulate and store data that I hadn’t seen before, and it’s helping me reduce my costs.
Powerful with Great Masking, Needs Process Streamlining
What do you like best about the product?
I like the K2View Catalog because it helps in classification of elements using a vast variety of regex, which really aids in data masking by applying default rules or editing them according to business logic. I also appreciate the Build Artifacts feature when running profiling on the data model since it's helpful for further management tasks like data generation and deletion.
What do you dislike about the product?
The end-to-end process for doing even small things is cumbersome. It requires a lot of effort to solve small issues. For example, data masking involves several steps like defining source, target, their model cataloging, and then applying rules, which is quite a task.
What problems is the product solving and how is that benefiting you?
I use K2View for data masking and profiling. It supports dynamic databases and PII data classification, aiding in element classification via regex and building artifacts for data management.
Highly Configurable App with an Easy-to-Navigate GUI
What do you like best about the product?
The application is highly configurable through an easy-to-navigate GUI.
What do you dislike about the product?
Currently, I haven’t used it enough yet to form a considered opinion.
What problems is the product solving and how is that benefiting you?
K2 View was selected as our core TDM application because it met most of my organisation’s key TDM requirements.
Great Explanations, Auto-Discovery Catalog, and Strong AI Features
What do you like best about the product?
I really like the explanations and the auto-discovery catalog. TDM is also great. support system is great. pricing is good. Ui is great. performace is also good. AI features are great
What do you dislike about the product?
code generating in xml format , is the most disliked
What problems is the product solving and how is that benefiting you?
loading data from prod to test along with sythetic data generation.
Intuitive interface, solid integrations, and excellent support
What do you like best about the product?
The interface is intuitive and easy to master. Additionally, it offers several integration options with different tools and data sources. Another advantage is the support, along with the learning material available on their platform, which makes it easy to get started and resolve doubts.
What do you dislike about the product?
Regarding the integration with AI, I didn't find many options, or at least I didn't get to see them during the time I used the platform. I think AI could be better integrated to provide clearer support to the user when they want to perform some action within the platform.
What problems is the product solving and how is that benefiting you?
Facilitate integrations and significantly reduce development time. This is also due to its visual interface, which makes it much simpler to create and manage integrations.
Catalog and Autodiscovery Make Building Database Relations Easy
What do you like best about the product?
Having the catalog is the one of the pro that is in K2View. Autodeskovery is one of the amazing feature that we can use in many of the databases where we don't have the knowledge of primary keys and foreign keys. So building relations with auto discovery is one of the good feature.
What do you dislike about the product?
but related to training in K2view there is no backdrop. but when we are really working on the product, it is taking lot of days to fix even one issue . k2View support team are responding on proactively helping to resolve the issue but it is taking long time like for example one ticket it is taking almost 7 days some times where our work will be on hold.
Especially the bug in fabric 8.2 studio Where the targetables doesn't get generated properly because of TDMLUInitBasedOnFabric internal flows.
The catalog in Auto discovery(One of my favorite feature in K2 view) also doesn't work in real Product that we use. we have informed to many people but its not yet fixed so I am about to raise a ticket for that too. but I think it will gonna take a lot of time to fix it.
Especially the bug in fabric 8.2 studio Where the targetables doesn't get generated properly because of TDMLUInitBasedOnFabric internal flows.
The catalog in Auto discovery(One of my favorite feature in K2 view) also doesn't work in real Product that we use. we have informed to many people but its not yet fixed so I am about to raise a ticket for that too. but I think it will gonna take a lot of time to fix it.
What problems is the product solving and how is that benefiting you?
The first problem is related to data integrity because in lot of enterprise solutions having the data integrity is challenging in lower environments and K2 view is really best in resolving that problem.
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