In today’s data-driven world, it is crucial to have access to accurate and timely information in order to make informed business decisions. However, obtaining this data often requires technical knowledge or the assistance of data analysts, causing delays and dependencies. At C&F, we understand the importance of bridging this gap and empowering users with self-service access to data. With our Advanced Analytics component, we bring a revolutionary solution that allows non-technical users to effortlessly retrieve data and ask specific questions, just like having a conversation with an analyst.
Over the years, we have worked extensively in the animal health sector, helping to gather, process, and analyze large volumes of data. Our experience in data implementation, quality, cleansing, and integration has equipped us with the technical expertise required to bring value to the industry. We understand the complexities of animal health data and know how to use the technology to bring value by providing accurate insights for users across different roles and backgrounds.
Imagine a reporting self-service platform where the need to build reports or dashboards becomes obsolete. Our Advanced Analytics component can act as an extension to the already existing dashboards or as a virtual analyst, allowing users to ask questions in plain language, such as “What is the evolution of product X in country Y over the last N year?” This natural language processing capability eliminates the need for SQL or business intelligence knowledge, enabling non-technical users to quickly access the information they need.
The value of our Advanced Analytics component is multi-fold. Firstly, it provides prompt-based access to various structured data sources. This empowers non-technical users to pull data without any dependencies, enabling self-service analytics and faster decision-making. By asking specific questions, users can obtain accurate responses that align with their needs, without having to navigate reporting systems or rely on analysts.
Accuracy is paramount when it comes to data-driven decision-making. We have set boundary conditions and validated the solution against reliable sources, guaranteeing that the insights provided are trustworthy and free from “hallucinated” information. Additionally, to further enhance accuracy, we have incorporated a feedback mechanism. Users can provide feedback if a response is not accurate or if they require data that is not readily available in reports or dashboards. This continuous improvement loop ensures that the AA component evolves over time, becoming even more reliable and user-friendly.
One of the challenges in implementing AI solutions is defining the scope within which the system operates. We have addressed this challenge by locking our solution within the allowed scope of certain data – marketing data. This prevents confusion or irrelevant responses to queries outside the defined domain. Users can be confident that the insights they receive are relevant to their marketing context, further enhancing the value and usability of the solution. Our AA component is undergoing rigorous testing to ensure the delivery of reliable answers when connecting to new data sources.
Our Advanced Analytics component enables non-experienced users to easily access data and insights, so they can make informed decisions based on reliable information. This reduces their dependency on analysts and enables them to act quickly, driving agility within the organization. Additionally, our solution helps build trust in the data by providing a user-friendly interface and accurate insights. When users can easily access and trust the data, they become more inclined to leverage analytics in their decision-making process.
Finally, our solution brings efficiency to the work of analysts. As ChatBot automates repetitive data retrieval tasks, analysts can focus on more strategic and complex analysis. This not only frees up their time but also enhances their productivity and allows them to provide deeper insights to the organization. By streamlining processes and eliminating repetitive work, our solution contributes to overall operational efficiency.
In conclusion, our Advanced Analytics component is a game-changer for organizations in the animal health industry. It provides prompt-based access to structured data, delivering reliable answers and empowering non-technical users. By building trust in data and reducing repetitive work, our solution contributes to a data-driven decision making process.
For further insights, also read:
Self-service analytics – top challenges & why it’s important
Data-driven life science: understanding the pandemic through data
