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Author: Gerard Blokdijk
Publisher: Complete Publishing
ISBN: 9781488893438
Category : Reference
Languages : en
Pages : 204
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Book Description
The one-stop-source powering Data Analysis success, jam-packed with ready to use insights for success, loaded with all the data you need to decide how to gain and move ahead. An one-of-a-kind book, based on extensive research, this reveals the best practices of the most successful Data Analysis knowledge mavens, those who are adept at continually innovating and seeing opportunity where others do not. This is the first place to go for Data Analysis innovation, in today's knowledge-driven business environment, professionals face particular challenges as their purpose is to discover or develop new concepts, products, or processes; the pressure to perform is intense. This title is the entryway to a single source for innovation. BONUS: Included with the book come numerous real-world Data Analysis blueprints, presentations and templates ready for you to download and use. This book addresses the crucial issue of Data Analysis adoption by presenting the facts to move beyond general observation. The model underpinning this book has been used as a predictive decision tool, tracking thousands of innovations for over more than a decade. And...this all-encompassing analysis focuses on key areas of future Data Analysis growth.
Author: Gerard Blokdijk
Publisher: Complete Publishing
ISBN: 9781488893438
Category : Reference
Languages : en
Pages : 204
Get Book
Book Description
The one-stop-source powering Data Analysis success, jam-packed with ready to use insights for success, loaded with all the data you need to decide how to gain and move ahead. An one-of-a-kind book, based on extensive research, this reveals the best practices of the most successful Data Analysis knowledge mavens, those who are adept at continually innovating and seeing opportunity where others do not. This is the first place to go for Data Analysis innovation, in today's knowledge-driven business environment, professionals face particular challenges as their purpose is to discover or develop new concepts, products, or processes; the pressure to perform is intense. This title is the entryway to a single source for innovation. BONUS: Included with the book come numerous real-world Data Analysis blueprints, presentations and templates ready for you to download and use. This book addresses the crucial issue of Data Analysis adoption by presenting the facts to move beyond general observation. The model underpinning this book has been used as a predictive decision tool, tracking thousands of innovations for over more than a decade. And...this all-encompassing analysis focuses on key areas of future Data Analysis growth.
Author: Gerard Blokdijk
Publisher: Complete Publishing
ISBN: 9781488896989
Category : Reference
Languages : en
Pages : 100
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Book Description
The one-stop-source powering Big Data analytics success, jam-packed with ready to use insights for results, loaded with all the data you need to decide how to gain and move ahead. Based on extensive research, this lays out the thinking of the most successful Big Data analytics knowledge experts, those who are adept at continually innovating and seeing opportunities. This is the first place to go for Big Data analytics innovation - INCLUDED are numerous real-world Big Data analytics blueprints, presentations and templates ready for you to access and use. Also, if you are looking for answers to one or more of these questions then THIS is the title for you: What are good tools for big data analytics? What is big data? Big Data: What are some interesting big data and analytics startups? What are the biggest challenges with doing Big Data analytics? Big Data: How are online retailers using big data analytics? Who are the top 10 companies in big data analytics? Where can I find market size data for Big Data analytics? What are the best resources on Big Data Analytics? What are the best technologies for big data analytics on streaming data? What is the current state of big data analytics in Singapore? What is the difference between Data Analytics, Data Analysis, Data Mining, Data Science, Machine Learning, and Big Data? Is big data analytics useful for mechanical engineers? Does big data analytics have a good scope in the future? NoSQL: How significant is columnar storage for Big data analytics? And Why? What are the best big data analytics/engineering bootcamps in SF? How Big Data analytics can impact business results? What are some of the big data analytics companies?"
Author: Gerard Blokdijk
Publisher: Complete Publishing
ISBN: 9781488898280
Category : Reference
Languages : en
Pages : 188
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Book Description
The one-stop-source powering Data Analytics success, jam-packed with ready to use insights for results, loaded with all the data you need to decide how to gain and move ahead. Based on extensive research, this lays out the thinking of the most successful Data Analytics knowledge experts, those who are adept at continually innovating and seeing opportunities. This is the first place to go for Data Analytics innovation - INCLUDED are numerous real-world Data Analytics blueprints, presentations and templates ready for you to access and use. Also, if you are looking for answers to one or more of these questions then THIS is the title for you: What are good tools for big data analytics? What are the best practices for large-scale data analytics and metrics at web companies? What are the biggest challenges with doing Big Data analytics? Which e-commerce companies have the best data/analytics teams? Is data analytics over-hyped? How can I make a good career in the data analytics industry? What are the best resources on Big Data Analytics? Can SQL queries be used to do data analytics? What is the future of data analytics companies? Where can I find market size data for Big Data analytics? Who are the top 10 companies in big data analytics? Should data analytics be centralized or decentralized in an organization? How important is domain knowledge to data analytics? What are the biggest data analytics outsourcing companies? ...and much more...
Author: Gerard Blokdijk
Publisher: Complete Publishing
ISBN: 9781488896668
Category : Reference
Languages : en
Pages : 182
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Book Description
The one-stop-source powering Big Data success, jam-packed with ready to use insights for results, loaded with all the data you need to decide how to gain and move ahead. Based on extensive research, this lays out the thinking of the most successful Big Data knowledge experts, those who are adept at continually innovating and seeing opportunities. This is the first place to go for Big Data innovation - INCLUDED are numerous real-world Big Data blueprints, presentations and templates ready for you to access and use. Also, if you are looking for answers to one or more of these questions then THIS is the title for you: Why the current obsession with big data? Is big data overhyped? What is big data? How do I learn about big data? What are the most influential papers in the world of big data? Why? What are the best talks/lectures related to big data/algorithms/machine learning? What should everyone know about big data? Data Science: What are some good toy problems in data science? Big Data: How is big data stored? Big Data: What are some interesting big data and analytics startups? Is big data a myth? Where can I find large datasets open to the public? What skills are needed for machine learning jobs? Which data stream mining tools can handle Big Data? What is the next big thing after big data? What are the problems with big data? What are the best big data analysis companies? What are some of the mind-blowing facts about Big Data? What are good tools for big data analytics?"
Author: Gerard Blokdijk
Publisher: Complete Publishing
ISBN: 9781488893803
Category : Reference
Languages : en
Pages : 156
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Book Description
The one-stop-source powering Data Science success, jam-packed with ready to use insights for success, loaded with all the data you need to decide how to gain and move ahead. An one-of-a-kind book, based on extensive research, this reveals the best practices of the most successful Data Science knowledge mavens, those who are adept at continually innovating and seeing opportunity where others do not. This is the first place to go for Data Science innovation, in today's knowledge-driven business environment, professionals face particular challenges as their purpose is to discover or develop new concepts, products, or processes; the pressure to perform is intense. This title is the entryway to a single source for innovation. BONUS: Included with the book come numerous real-world Data Science blueprints, presentations and templates ready for you to download and use. This book addresses the crucial issue of Data Science adoption by presenting the facts to move beyond general observation. The model underpinning this book has been used as a predictive decision tool, tracking thousands of innovations for over more than a decade. And...this all-encompassing analysis focuses on key areas of future Data Science growth.
Author: Mert Damlapinar
Publisher: NLITX
ISBN:
Category : Business & Economics
Languages : en
Pages : 393
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Book Description
While you work hard building your startup, one of the biggest challenges you’ll face will be around your product’s ability to solve a big enough problem and its success in the market. Agile Analytics for Startups will help you navigate the complexity of early-stage business analytics, performance measurement, and the metrics that matter to your company. You can use the proven frameworks in this book to validate your product idea and the product/market fit, and understand your customers more granularly while you scale your business for automation. You can test and use many tools and solutions provided in the book and interact with different features of those solutions as you engage with other users of those products. This book will provide you with a step-by-step framework, examples and powerful solutions, from ideation to growth and all the way to scaling your business as you build your company with the power of analytics. - Agility is your advantage over large companies - Understand business analytics essentials and define how you will measure the success of your business early - Once you define your solution for “the problem” you tackle, validate your customer - Keep a short list of KPIs for the success of your product - Engage your customers throughout the development cycle - Product/market fit should happen before you go to market big - Keep testing your product, reiterate continuously - Know when to pivot as you modify and optimize your roadmap - Be ready to speed up and maximize your output before the significant funding milestone(s)
Author: Laura Sebastian-Coleman
Publisher: Technics Publications
ISBN: 1634623770
Category : Computers
Languages : en
Pages : 208
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Book Description
An Executive Guide to Data Management
Author: Gerard Blokdijk
Publisher: Complete Publishing
ISBN: 9781488894107
Category : Reference
Languages : en
Pages : 154
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Book Description
The one-stop-source powering Predictive Analytics success, jam-packed with ready to use insights for success, loaded with all the data you need to decide how to gain and move ahead. An one-of-a-kind book, based on extensive research, this reveals the best practices of the most successful Predictive Analytics knowledge mavens, those who are adept at continually innovating and seeing opportunity where others do not. This is the first place to go for Predictive Analytics innovation, in today's knowledge-driven business environment, professionals face particular challenges as their purpose is to discover or develop new concepts, products, or processes; the pressure to perform is intense. This title is the entryway to a single source for innovation. BONUS: Included with the book come numerous real-world Predictive Analytics blueprints, presentations and templates ready for you to download and use. This book addresses the crucial issue of Predictive Analytics adoption by presenting the facts to move beyond general observation. The model underpinning this book has been used as a predictive decision tool, tracking thousands of innovations for over more than a decade. And...this all-encompassing analysis focuses on key areas of future Predictive Analytics growth.
Author: Mahmoud A. Al-Odeh
Publisher: Rylanbooks
ISBN: 1607979020
Category : Business & Economics
Languages : en
Pages :
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Book Description
Author: Gerard Blokdijk
Publisher: Complete Publishing
ISBN: 9781488898433
Category : Reference
Languages : en
Pages : 428
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Book Description
The one-stop-source powering Data Quality success, jam-packed with ready to use insights for results, loaded with all the data you need to decide how to gain and move ahead. Based on extensive research, this lays out the thinking of the most successful Data Quality knowledge experts, those who are adept at continually innovating and seeing opportunities. This is the first place to go for Data Quality innovation - INCLUDED are numerous real-world Data Quality blueprints, presentations and templates ready for you to access and use. Also, if you are looking for answers to one or more of these questions then THIS is the title for you: Why corporate culture is essential to data quality? What are data quality metrics? What is the future of data quality management? How do I measure data quality issues? What are some common techniques used by data scientists to ensure data quality/consistency? How can I measure data quality of business listings? What does a data quality analyst do? What are some creative ways people have enforced data quality and integrity within organizations? What aspects of Data Quality influence the impact on Business Value? Is there any workflow to improve Data quality? What are the best general map applications, in terms of data quality, search quality and usabity? What are the best ways for companies to target the data quality problem? Is data quality and integration important for a business? Why or why not? What magazines and blogs do you read to keep you current when it comes to Data Quality? What is your favorite data quality solution? How do I ensure data quality in crowd sourced data? ...and much more...
