What do you do if automated data analytics tools are leading you astray?
Automated data analytics tools are designed to simplify the process of data analysis, providing insights and trends without the need for extensive manual intervention. However, sometimes these tools can lead you astray, offering misleading results or interpretations that can impact decision-making. When faced with such a scenario, it's essential to take a step back and assess the situation carefully. Whether it's due to incorrect data input, misconfigured settings, or an inherent flaw in the algorithm, the consequences of relying on inaccurate analytics can be significant. Therefore, understanding how to identify and rectify such issues is a valuable skill in the realm of data analytics.
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Priyanka GaikwadData Analyst | Expertise in Advanced Excel, SQL, Python | Power Bi and Tableau for advanced data analysis | Snowflake |…
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David HeratySenior Commercial Manager | Oracle Advisory | Oracle Cloud Solutions Partner
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Keyur P.Senior Software Engineer | Cloud & Data Innovator | AI & Automation Leader | Enterprise & SaaS Solutions | Project…