Category: Analytics

General topics related to data, analysis, and analytics.

  • More Analytics Myths Holding You Back

    More Analytics Myths Holding You Back

    There are plenty of analytics myths that discourage adoption. In this second article we discuss how Advanata overcomes such myths as analytics being time-consuming, impractical, insufficient, and incorrect.

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  • We Need Effectiveness, Not Analytics

    We Need Effectiveness, Not Analytics

    Quantification is essential for problem solving and can be used to convert between content types. Advanata is based on the concept of effectiveness that utilizes all quantification methods and leverages each resource according to what it does best in a structured manner to deliver results that effectively solve customer problems.

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  • Can Data Ever Tell the Truth?

    Can Data Ever Tell the Truth?

    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.

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  • 6 Fixes for Great Analytics Results

    6 Fixes for Great Analytics Results

    Analysts face challenges due to poorly framed questions from customers, leading to ineffective analytics. Improved communication is essential for collaboration. By refining questions to be precise, analysts can derive actionable insights. Advanata’s technologies aim to bridge this communication gap, ensuring successful analytics outcomes by promoting better question formation.

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  • The Hidden Value of Data: Useful or Useless?

    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.

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  • Analytics Myths Holding You Back

    Analytics Myths Holding You Back

    There are plenty of analytics myths that discourage adoption. In this article we discuss how Advanata overcomes such myths as analytics being useless, confusing, expensive, and unnecessary.

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  • We Need Information, Not Data

    We Need Information, Not 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.

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  • You Don’t Need Another Dashboard

    You Don’t Need Another Dashboard

    Dashboards often distract from effective problem-solving in business operations, focusing on data volume rather than actionable insights. While useful for reporting and transparency, their complexity can hinder decision-making. Analytics, like those enabled by Advanata, are essential for addressing real business challenges and fostering survival in an evolving marketplace.

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  • 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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