Category: Analytics

General topics related to data, analysis, and analytics.

  • Smarter Analytics: Less Work, Bigger Impact

    Smarter Analytics: Less Work, Bigger Impact

    The analytics sector faces a significant disconnect between customers and analysts, resulting in confusion and inefficiencies. Customers seek clarity, while analysts provide depth. Advanata addresses this by employing a top-down approach that simplifies processes and enhances usability, enabling more effective analytics and maximizing value without unnecessary complexity or waste.

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  • KPI Theater Needs a Final Curtain

    KPI Theater Needs a Final Curtain

    KPIs are often misused, diverting attention from complex problems to simpler, measurable ones, leading to detrimental outcomes. They should be indicators, not targets, with real goals aligned to customer business needs. Properly defined objectives are essential for effective analytics, making sure actions focus on meaningful results rather than misleading metrics.

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  • Don’t Fall for the Correlation Trap

    Don’t Fall for the Correlation Trap

    Correlation does not imply causation; many analysts erroneously conflate the two. Collaboration between data analysts and customers, who possess domain expertise, is crucial for accurate conclusions. Employing an inductive approach allows for clearer identification of causation, improving efficiency and outcomes in analytics. This balance enhances the analysis process and results.

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  • Redefine Analytics with Advanata

    Redefine Analytics with Advanata

    Everyone should be using data analytics to help solve their business challenges. To help overcome difficulties in adopting data analytics Advanata reduces complexity through the use of a business problem framework, involves customers through the use of the inductive approach, and generates actionable outputs using the data effectiveness methodology.

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  • Cut Complexity with the Inductive Approach

    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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