Title
Big Data, Mining, And Analytics: Components Of Strategic Decision Making
Delivery time: 8-12 business days (International)
There Is An Ongoing Data Explosion Transpiring That Will Make Previous Creations, Collections, And Storage Of Data Look Trivial. Big Data, Mining, And Analytics: Components Of Strategic Decision Making Ties Together Big Data, Data Mining, And Analytics To Explain How Readers Can Leverage Them To Extract Valuable Insights From Their Data. Facilitating A Clear Understanding Of Big Data, It Supplies Authoritative Insights From Expert Contributors Into Leveraging Data Resources, Including Big Data, To Improve Decision Making. Illustrating Basic Approaches Of Business Intelligence To The More Complex Methods Of Data And Text Mining, The Book Guides Readers Through The Process Of Extracting Valuable Knowledge From The Varieties Of Data Currently Being Generated In The Brick And Mortar And Internet Environments. It Considers The Broad Spectrum Of Analytics Approaches For Decision Making, Including Dashboards, Olap Cubes, Data Mining, And Text Mining. Includes A Foreword By Thomas H. Davenport, Distinguished Professor, Babson College; Fellow, Mit Center For Digital Business; And Cofounder, International Institute For Analytics Introduces Text Mining And The Transforming Of Unstructured Data Into Useful Information Examines Real Time Wireless Medical Data Acquisition For Todays Healthcare And Data Mining Challenges Presents The Contributions Of Big Data Experts From Academia And Industry, Including Sas Highlights The Most Exciting Emerging Technologies For Big Datafilled With Examples That Illustrate The Value Of Analytics Throughout, The Book Outlines A Conceptual Framework For Data Modeling That Can Help You Immediately Improve Your Own Analytics And Decisionmaking Processes. It Also Provides Indepth Coverage Of Analyzing Unstructured Data With Text Mining Methods.
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Shipping & Returns
Shipping
We ship your order within 2–3 business days for USA deliveries and 5–8 business days for international shipments. Once your package has been dispatched from our warehouse, you'll receive an email confirmation with a tracking number, allowing you to track the status of your delivery.
Returns
To facilitate a smooth return process, a Return Authorization (RA) Number is required for all returns. Returns without a valid RA number will be declined and may incur additional fees. You can request an RA number within 15 days of the original delivery date. For more details, please refer to our Return & Refund Policy page.
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Warranty
We provide a 2-year limited warranty, from the date of purchase for all our products.
If you believe you have received a defective product, or are experiencing any problems with your product, please contact us.
This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).
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Frequently Asked Questions
- Q: What is the main focus of the book 'Big Data, Mining, and Analytics'? A: The book focuses on how to leverage big data, data mining, and analytics for strategic decision making, providing insights and methods for extracting valuable information from various data sources.
- Q: Who is the author of this book? A: The author of 'Big Data, Mining, and Analytics' is Stephan Kudyba.
- Q: What can I expect to learn from this book? A: You can expect to learn about the integration of big data and analytics into business intelligence processes, including text mining and real-time data applications in healthcare.
- Q: Is this book suitable for beginners in data analytics? A: Yes, the book illustrates basic approaches to analytics and progressively covers more complex methods, making it suitable for both beginners and experienced professionals.
- Q: How many pages does the book have? A: The book has a total of 326 pages.
- Q: What type of binding does this book have? A: The book is available in hardcover binding.
- Q: When was 'Big Data, Mining, and Analytics' published? A: The book was published on March 12, 2014.
- Q: Does this book include any contributions from industry experts? A: Yes, the book features contributions from big data experts from both academia and industry, including insights from SAS.
- Q: What does the book say about text mining? A: The book introduces text mining and discusses how to transform unstructured data into useful information for decision making.
- Q: Can this book help improve decision-making processes? A: Yes, the book outlines a conceptual framework for data modeling that can help improve analytics and decision-making processes immediately.