Top davenport analytics for 2019
If you looking for davenport analytics then you are right place. We are searching for the best davenport analytics on the market and analyze these products to provide you the best choice.
If you looking for davenport analytics then you are right place. We are searching for the best davenport analytics on the market and analyze these products to provide you the best choice.
Best davenport analytics
1. Competing on Analytics: Updated, with a New Introduction: The New Science of Winning
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HARVARD BUSINESSDescription
The New Edition of a Business Classic
This landmark work, the first to introduce business leaders to analytics, reveals how analytics are rewriting the rules of competition.
Updated with fresh content, Competing on Analytics provides the road map for becoming an analytical competitor, showing readers how to create new strategies for their organizations based on sophisticated analytics. Introducing a five-stage model of analytical competition, Davenport and Harris describe the typical behaviors, capabilities, and challenges of each stage. They explain how to assess your companys capabilities and guide it toward the highest level of competition. With equal emphasis on two key resources, human and technological, this book reveals how even the most highly analytical companies can up their game.
With an emphasis on predictive, prescriptive, and autonomous analytics for marketing, supply chain, finance, M&A, operations, R&D, and HR, the book contains numerous new examples from different industries and business functions, such as Disneys vacation experience, Googles HR, UPSs logistics, the Chicago Cubs training methods, and Firewire Surfboards customization. Additional new topics and research include:
- Data scientists and what they do
- Big data and the changes it has wrought
- Hadoop and other open-source software for managing and analyzing data
- Data productsnew products and services based on data and analytics
- Machine learning and other AI technologies
- The Internet of Things and its implications
- New computing architectures, including cloud computing
- Embedding analytics within operational systems
- Visual analytics
The business classic that turned a generation of leaders into analytical competitors, Competing on Analytics is the definitive guide for transforming your companys fortunes in the age of analytics and big data.
2. Competing on Analytics: The New Science of Winning
Description
In Competing on Analytics: The New Science of Winning, Thomas H. Davenport and Jeanne G. Harris argue that the frontier for using data to make decisions has shifted dramatically. Certain high-performing enterprises are now building their competitive strategies around data-driven insights that in turn generate impressive business results. Their secret weapon? Analytics: sophisticated quantitative and statistical analysis and predictive modeling.
Exemplars of analytics are using new tools to identify their most profitable customers and offer them the right price, to accelerate product innovation, to optimize supply chains, and to identify the true drivers of financial performance. A wealth of examplesfrom organizations as diverse as Amazon, Barclays, Capital One, Harrahs, Procter & Gamble, Wachovia, and the Boston Red Soxilluminate how to leverage the power of analytics.
3. Keeping Up with the Quants: Your Guide to Understanding and Using Analytics
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Harvard Business School PressDescription
Welcome to the age of data. No matter your interests (sports, movies, politics), your industry (finance, marketing, technology, manufacturing), or the type of organization you work for (big company, nonprofit, small start-up)your world is awash with data.
As a successful manager today, you must be able to make sense of all this information. You need to be conversant with analytical terminology and methods and able to work with quantitative information. This book promises to become your quantitative literacy" guidehelping you develop the analytical skills you need right now in order to summarize data, find the meaning in it, and extract its value.
In Keeping Up with the Quants, authors, professors, and analytics experts Thomas Davenport and Jinho Kim offer practical tools to improve your understanding of data analytics and enhance your thinking and decision making. Youll gain crucial skills, including:
How to formulate a hypothesis
How to gather and analyze relevant data
How to interpret and communicate analytical results
How to develop habits of quantitative thinking
How to deal effectively with the quants in your organization
Big data and the analytics based on it promise to change virtually every industry and business function over the next decade. If you dont have a business degree or if you arent comfortable with statistics and quantitative methods, this book is for you. Keeping Up with the Quants will give you the skills you need to master this new challengeand gain a significant competitive edge.
4. Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die
Description
Mesmerizing & fascinating... The Seattle Post-Intelligencer
"TheFreakonomicsof big data." Stein Kretsinger, founding executive of Advertising.com
Award-winning | Used by over 30 universities | Translated into 9 languages
An introduction for everyone. In this rich, fascinating surprisingly accessible introduction, leading expert Eric Siegel reveals how predictive analytics works, and how it affects everyone every day. Rather than a how to for hands-on techies, the book serves lay readers and experts alike by covering new case studies and the latest state-of-the-art techniques.
Prediction is booming. It reinvents industries and runs the world. Companies, governments, law enforcement, hospitals, and universities are seizing upon the power. These institutions predict whether you're going to click, buy, lie, or die.
Why? For good reason: predicting human behavior combats risk, boosts sales, fortifies healthcare, streamlines manufacturing, conquers spam, optimizes social networks, toughens crime fighting, and wins elections.
How? Prediction is powered by the world's most potent, flourishing unnaturalresource: data. Accumulated in large part as the by-product of routine tasks, data is the unsalted, flavorless residue deposited en masse as organizations churn away. Surprise! This heap of refuse is a gold mine.Big dataembodies an extraordinary wealth of experience from which to learn.
Predictive Analyticsunleashes the power of data. With this technology,the computer literally learns from data how to predict the future behavior of individuals. Perfect prediction is not possible, but putting odds on the future drives millions of decisions more effectively, determining whom to call, mail, investigate, incarcerate, set up on a date, or medicate.
In this lucid, captivating introduction now in its Revised and Updated edition former Columbia University professor and Predictive Analytics World founder Eric Siegel reveals the power and perils of prediction:
- What type of mortgage risk Chase Bank predicted before the recession.
- Predicting which people will drop out of school, cancel a subscription, or get divorced before they even know it themselves.
- Why early retirement predicts a shorter life expectancy and vegetarians miss fewer flights.
- Five reasons why organizations predict death including one health insurance company.
- How U.S. Bank and Obama for America calculated and Hillary for America 2016 plans to calculate the way to most strongly persuade each individual.
- Why the NSA wants all your data: machine learning supercomputers to fight terrorism.
- How IBM's Watson computer usedpredictive modelingto answer questions and beat the human champs on TV'sJeopardy!
- How companies ascertain untold, private truths how Target figures out you're pregnant and Hewlett-Packard deduces you're about to quit your job.
- How judges and parole boards rely on crime-predicting computers to decide how long convicts remain in prison.
- 183 examples from Airbnb, the BBC, Citibank, ConEd, Facebook, Ford, Google, the IRS, LinkedIn, Match.com, MTV, Netflix, PayPal, Pfizer, Spotify, Uber, UPS, Wikipedia, and more.
How does predictive analytics work? This jam-packed book satisfies by demystifying the intriguing science under the hood. For future hands-on practitioners pursuing a career in the field, it sets a strong foundation, delivers the prerequisite knowledge, and whets your appetite for more.
A truly omnipresent science, predictive analytics constantly affects our daily lives. Whether you are a consumer of it or consumed by it get a handle on the power ofPredictive Analytics.
5. Competing on Analytics: The New Science of Winning