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|a Sweenor, David,
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|a Automating Analytics
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|c Sweenor, David.
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|a 1st edition.
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|a Do you have a method for seeing all the data that passes through your organization? The need to democratize access to data and analytics, automate complex and tedious business processes, and amplify human output has led to analytic process automation (APA). Thousands of organizations across nearly every business and industry vertical use this software to accelerate data-driven business outcomes. This report examines the power of APA using technology, business, and real-world examples. If you're a technical business, analytics, or business intelligence leader, you'll learn how to use APA to tackle complex problems, increase productivity, and improve efficiency. You'll discover what APA means for your business and for you. This report explores: The importance of data: understand how data is transformed into information and insights for making business decisions Gathering data with APA: learn how APA differs from your current process Data democratization: grant data access to employees and empower them to analyze specific tasks and performance Data reporting: learn how APA blends data tables, fields, and values to help you search for insights at a granular level Analytics: explore new tools that use AI and ML to improve the analytic process.
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|f Copyright © 2021 O'Reilly Media Inc.
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|a Made available through: Safari, an O'Reilly Media Company.
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|a Online resource; Title from title page (viewed October 25, 2021)
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|a Data mining.
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|a Forecasting.
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|a Data Mining
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|a Forecasting
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|a Exploration de données (Informatique)
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|a Prévision.
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|a Data mining.
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|a Forecasting.
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|a Burroughs, Melissa,
|e author.
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|a Safari, an O'Reilly Media Company.
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|u https://learning.oreilly.com/library/view/~/9781098111014/?ar
|z Texto completo (Requiere registro previo con correo institucional)
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