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UNAUDITED CONDENSED CONSOLIDATED INTERIM RESULTS FOR THE SIX MONTHS ENDED 30 SEPTEMBER 2020BUSINESS OVERVIEW Data science unlocks the business value of data, much of the effort to enable this lies
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Understand the goal or objective of using smart data analytics.
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Collect relevant data sources and ensure data quality.
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Choose the appropriate data analytics tools or software.
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Analyze the data using techniques such as data mining or machine learning.
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Smart data analytics refers to the use of advanced algorithms and analytics techniques to process, analyze, and interpret large volumes of data to derive actionable insights and support decision-making.
Typically, businesses and organizations that utilize data analytics for reporting, compliance, or regulatory purposes are required to file smart data analytics.
Filling out smart data analytics usually involves compiling relevant data, completing the required forms with accurate information, and submitting them through the designated platform or portal as per the guidelines.
The purpose of smart data analytics is to provide insights that drive strategic business decisions, enhance operational efficiency, and improve customer experiences through data-driven methodologies.
The information that must be reported typically includes metrics related to data usage, performance indicators, compliance data, and any other relevant analytics outcomes based on the specific requirements of the filing.
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