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Douglas B. Laney
This specialization targets learners who seek to understand the opportunities that data and analytics present for their organization and those interested in the value of and implications for data as an asset to their organization. Individuals who manage data...
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This specialization targets learners who seek to understand the opportunities that data and analytics present for their organization and those interested in the value of and implications for data as an asset to their organization. Individuals who manage data and make decisions about how data can be leveraged in their organization will find this specialization of particular value. Businesses run on data, and data offers little value without analytics. The ability to process data to make predictions about the behavior of individuals or markets, to diagnose systems or situations, or to prescribe actions for people or processes drives business today. Increasingly many businesses are striving to become “data-driven”, proactively relying more on cold hard information and sophisticated algorithms than upon the gut instinct or slow reactions of humans. In this information age, the value of data as a business asset is essential. Organizations must creatively consider and implement new ways to generate economic benefits from the wide array of information assets available. Unfortunately, information frequently is under-appreciated and underutilized. Besides, accounting practices fail to recognize the financial value of information, and traditional asset management practices fail to recognize information as an asset to be managed with earnest discipline. This has led to a business culture of complacence, and the inability for organizations to leverage available information assets.
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What's inside

Four courses

Business Analytics Executive Overview

(0 hours)
Businesses run on data, and data offers little value without analytics. This course will focus on understanding key analytics concepts and the breadth of analytic possibilities.

Introduction to Business Analytics and Information Economics Capstone

(0 hours)
Welcome to the Introduction to Business Analytics and Information Economics Capstone! This Capstone will enable you to apply concepts you have studied previously about applying economic concepts to information, conceiving analytics hypotheses, valuing information assets, and developing ideas for monetizing information in various ways.

Infonomics I: Business Information Economics and Data Monetization

(0 hours)
Thriving in the Information Age compels organizations to deploy information as an actual business asset. This demands creativity in conceiving and implementing new ways to generate economic benefits from the wide array of information assets available to an organization.

Infonomics II: Business Information Management and Measurement

Even decades into the Information Age, accounting practices fail to recognize the financial value of information. This course explores how and why to adapt well-honed asset management principles to information, and how to apply valuation models to gauge information’s potential and realized economic benefits.

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