Traditional analytics can be slow and costly due to an overemphasis on data and a lack of attention to expert knowledge that could simplify problems, accelerate results, and lead to better solutions.
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The conventional approach tries to solve the problem without prior assumptions (i.e. domain knowledge), leading to excessive work in pursuit of a perfectly objective answer. In reality, problems never exist in isolation. Domain knowledge is not only essential but also helps narrow problem scope and deliver higher value solutions. In contrast, the second approach uses domain knowledge to focus efforts and achieve a better practical solution for the customer.

The Deductive Approach and How to Improve It
The Deductive approach may be thorough, but it’s time-consuming, data-heavy, and often misaligned with what customers actually need.

The best way to overcome the limits of the deductive approach is by incorporating domain knowledge. While challenging, the payoff is significant and leads to faster, smarter, and more effective solutions.

The Inductive Approach as Used by Advanata
Here’s how Advanata brings domain knowledge into the analysis process. It starts with defining a Business Problem using key components that customers can easily provide given their domain expertise. Once defined, Advanata then applies Data effectiveness to quickly generate a clear, actionable solution that is fully aligned with the customer’s requirements.

Now that we have incorporated domain knowledge into the analysis process we arrive at the Inductive approach, which eliminates the need to establish detailed status and instead focuses directly on finding the optimal solution to the customer’s problem.

Prioritizing Customers Creates Satisfied Customers
While the Deductive approach has its place, especially when domain knowledge is scarce, it can be excessive for real-world applications. Even analytically perfect solutions can lead to confusion and misalignment when not taking into consideration the customer’s unique situation. Advanata takes a customer-led approach, ensuring that domain knowledge and output requirements are fully incorporated from the start, delivering solutions that truly meet the customer’s expectations and requirements.
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