Category: Technology
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Cut Complexity with the Inductive Approach
Traditional analytics often struggles with speed and cost due to excessive data focus and insufficient use of domain knowledge. Advanata employs an Inductive approach that leverages this knowledge to define business problems and thus craft actionable solutions, aligning with customer needs for better outcomes and efficiency.
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Business Problems: What are they?
Business problems deliver the optimal actions a customer needs to reach their goals without any excess data or analysis. Most real-world problems are in fact of this type. Business problems are a structured form of analytic problems with the additional identification of goals, options and resources.
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Data Effectiveness: What is it exactly?
Let’s start from the very beginning. Who, What, Where, When, Why, and How are the basic questions for analyzing any problem. Things get far more interesting when we combine these basic questions! Combining Who and What allows for comprehensive Identification. Combining Where and When allows for describing Location. Going one step further, we can combine
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No Data? No Problem!
Advanata offers a solution to the challenges faced by analysts dealing with data issues, which often lead to project delays. By minimizing data requirements and focusing on customer expertise, it enables users to estimate values directly. The architecture allows for integration of external approximations and fine-tuning through analytics, streamlining the process.
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How to Harness Human Intelligence
Data enhances evidence and decision-making, while human insights provide depth and understanding. Advanata was created to merge these elements effectively by using an inductive approach, prioritizing customer input refined by data. This method addresses the challenge of integrating qualitative and quantitative factors in analytical problem-solving. Visit Advanata for more details.
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Can Advanata solve “real-world” problems?
Every business has its own complex problems that need solving. Advanata through its innovative customer-led framework can distil complex problems into their underlying components and automatically generate an optimal solution that is actionable and easy to understand. Is this oversimplification? Not really. Problems often lose clarity when details are emphasized without considering the overall structure.
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