Category: Decision making
Approaches for improving business decisions through structured reasoning, analytics, and optimization.
-
How Logical Fallacies Can Ruin Data Analyses
Analytics results can be compromised by logical fallacies, which must be identified, understood, and avoided. This article identifies key fallacies such as misplaced intuition, methodological manipulation, and illogical reasoning, emphasizing the importance of sound analysis and logic in the analytics process to ensure valid results and build trust with customers.
-
How to Get Better Results with the Scientific Method
Effective problem solving can be approached either from a bottom-up or top-down perspective. A clear hypothesis is crucial to prevent scattered observations and enhance methodology. Advanata enables customers to harness the scientific method, allowing them to independently or collaboratively structure problems, automatically validate solutions, and ensure robust actionable results.
-
Why Are Consulting Reports So Long?
Consulting reports are often lengthy because report length serves as a proxy for quality, shifting accountability to customers. This article discusses the challenges of perceiving quality in reports and offers solutions to reduce length while maintaining value. Advanata proposes methods to enhance report quality, encouraging accountability and precise problem definition.
-
4 Steps to Avoid Difficult Forecasts
Forecasting is often treated as essential, yet it fails for socially driven behavior due to complicating factors. Instead of relying on unreliable predictions, we should reframe the problem, focus on the real issue, and deliver actionable solutions. This aligns with the Advanata framework emphasizing practical, tailored outcomes over generic analytics
-
Pattern-Driven Analytics: The Mirage That Can Mislead
Misidentified patterns can produce serious analytical errors. Valid pattern recognition requires an inductive approach that starts with a hypothesis explaining the underlying mechanism, tests observed patterns against it, validates results using external evidence, and confirms conclusions with a problem expert. Decomposing complex problems into simpler components improves validation reliability.
-
Smarter Inventory Management with Advanata
Advanata redefines inventory management by taking a customer-driven approach that allows for easy usage by a non-specialist, quick addition of custom inventory goals, and incorporation of inventory structure. A detailed example is given for a garage that wants to balance profits and lead times along with descriptions for other applications.
-
Can Data Ever Be Trusted?
Data can never be objective since its construction requires the use of preconceptions. This increases usability for users but decreases objectivity. As content is transformed into more usable forms, it becomes more complex and less available. Advanata simplifies problems thus reducing the need for complex content and increasing its availability.
-
The Secret Recipe for Smarter Pricing
Advanata provides an optimal solution to the problem faced by businesses needing to change prices while maintaining other subjective goals. A detailed example is given for a restaurant that wants to change menu prices in order to increase profits while maintaining customer loyalty. Other applications are also briefly mentioned.
-
How to Identify the Hidden Value of Data: Useful or Useless?
Content is essential but varies in value across users. The same document serves different needs, demonstrating content’s polymorphic nature. Effective transformation requires analyzing problems to meet specific requirements. Advanata employs a structured approach to tackle analytics issues, emphasizing customer-driven solutions and the necessity of clear problem definition.
-
Why We Need Information, Not Just Data
It is important to emphasize the importance of transitioning from viewing data as the final product to recognizing the necessity of information. We discuss the classification of content, the biases involved, and how Advanata utilizes information in analytics for more effective problem solving. By prioritizing information, businesses can better address challenges.
Advanata 