What you can do with Convier

Say you are responsible for defining the process of how your organization works through some repetitive process (for example, potentially incompliant actions by employees or customers). You have a number of different data sources available, from your CRM, to public data, to spreadsheets produced by other departments. In order for your analysts to figure out if something needs to be followed up, they have to combine the data from these sources - take a value in the spreadsheet and search for it in the CRM, and cross-reference against public data. The problem is that they are doing all this manually, every time. What you need is something that can automate this process, so that the analysts can reach their conclusions faster.

Convier connects directly to your data sources. The data is then transformed from the "physical" representation it has where it is stored to a "virtual" representation that is the same across all data sources. This means that all connected data can be interacted with as if it were one, providing a single view across all the data you have. Importantly, all data can be traced back to its source, so that you can have complete confidence in the data you are presenting. A key capability during this process is to be able to combine data coming in from the different sources. The data may be incomplete, differently formatted or completely unstructured, which in the past would have been difficult to connect. Our unique search technology enables fusion of data with unprecedented precision.

Your data sources contain a lot of data that is not relevant to the work the analysts are doing. Other data needs to be collected through a number of steps. You don't want to overload your analysts with irrelevant information, and you certainly don't want them to have to click multiple buttons to get the information you know they always need. What you want is a way to define exactly what the analysts should see and how they can interact with the data in as simple a way as possible.

Convier enables you to choose exactly what data is collected and how it is presented to users. In most repetitive analysis tasks, it is possible to anticipate what information the user will be interested in. This can be encoded into search templates that can perform multiple complex search and filter operations to find exactly the right data. The collected data can further be visualized and computed upon to produce readily available answers to common questions.

Not all cases are equally clear-cut. Analysts need to be able to dig into the weeds of the data when required. You have seen way too many analyses screenshotted into PowerPoint presentations, never to be useful for anyone again. You want a simple and interactive way for analysts to explore data, and to be able to store the results of these analyses in a way that will make it possible for them to be found and used later to enrich other analyses.

Convier empowers users to explore all connected data through one simple user interface. Whether users are combing through relationships on the graph or using the computer-assisted query generator to ask complex questions about data, they will be able to find and understand data.

As you present and explore more and more data, it becomes clear that some cases are more critical than others, and you start to see a clearer pattern in the data of what makes these cases different. So instead of having to go through every single case to look for these patterns, you want the system to identify those cases for you and send you a notification when something that needs your attention is found.

Data is collected and presented to illuminate relevant high-risk factors. Once one has been detected, the search templates and computation can be converted into monitoring, so that you are notified every time data that matches the risk factor appears. These high-risk factors can further be organized into higher-level concepts, creating the foundation for a strategic level of understanding of what is happening in your data.

If each of your analysts knew everything they all know, very few things would be able to slip by them. Your problem is that each of them works on their own little hill, with limited spillover of knowledge and context between them. This presents a particular problem for younger analysts, preventing them from efficiently learning from the more experienced ones. You want collaboration to be at the very core of the analytic process, so that the work each analyst does will benefit all the others.

We enable users to share their analyses with authorized users and teams. Instead of sharing a report as a static screenshot that no one can actually use, your analyses can be further developed by you or others, making them an integral part of how you work with and understand your data.