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We Need Effectiveness, Not Analytics

1–2 minutes

Let’s formalize our discussion of analytics, which depending on who you ask, can mean anything from simple data retrieval to advanced mathematical methods. It is deeply connected to content and makes it possible to convert between content types in a quantitative manner.

Data effectiveness is optimization built on prediction built on understanding. It spans the full scope of quantification.

Quantification and Utility

We will use quantification as the general term for methods that can quantitatively convert between content types, with each method serving a specific purpose.

Quantification is the quantitative conversion of content. Analysis feeds into analytics which feeds into effectiveness. Any of these quantification methods can be used for converting content. Quantification methods can convert between different content types (attributes, data, information) or keep it within the same type.

Analysis forms the foundation of quantification, as we need to understand the past in order to move forward.

Analysis is about understanding the past. We analyze content to understand occurred behaviors. It is sufficient if we only aim to understand what happened.

Analytics uses tools and models to forecast the future, helping quantification become truly useful for real problems.

Analytics forecasts the future state. It models analyzed content to predict future behaviors. It is heavily dependent on preconceptions.

Analytics helps predict future states, but it only supports problem-solving. Effectiveness is needed to bring the pieces together into a solution framework that helps us reach our desired future state.

Effectiveness aims to reach the desired state. It optimizes predicted content to reach future states. It finds the best actions to maximize goal satisfaction.

Quantification and Advanata

As we look deeper into quantification, it becomes clear that every method plays a role in solving real problems. Advanata is designed to encompass the full scope of quantification within a robust and easy-to-use architecture that delivers actionable solutions.

Advanata covers the full spectrum of quantification to deliver results that effectively solve customer problems. Customer establishes, analyst refines, and machine completes. Each resource is leveraged according to what it does best.

Advanata allows customers to directly enter their expertise into the system, bypassing the time-consuming and error-prone problem analysis stage. This is accomplished through a structured and easy-to-use format that addresses the majority of problems a customer may encounter.

Analysis establishes the problem. Using the business problem framework we can distil customer expertise into a quantitative framework. Conventionally, this requires in-depth analysis of available content to understand the problem. Advanata provides accurate and efficient quantification of relevant past states.

Analysts can then be called on to address clear, well-defined analytics problems that are small enough to be solved in a structured manner.

Analytics performs refinement. The inductive approach allows for creating small structured problems that can be solved analytically. Conventionally, large convoluted problems exist that create many complex analytics problems. Advanata enables the use of analytics in a structured manner.

The final output applies effectiveness to produce an optimal solution, built on analytics from the analysts and the analysis provided by the customer.

Effectiveness completes the solution. The data effectiveness methodology uses proprietary AI-driven methods to generate optimal actions. The conventional process can't do optimization because it is prohibitively difficult due to the lack of problem structure. Advanata determines the best actions from the full range of possibilities.

Go Beyond Analytics

Understanding how content can be measured, calculated, and converted through quantification is important. Even more important for the customer is the realization that their problems require applying all quantification methods to produce solutions that both resolve the issues and include all elements needed for execution.

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