Zion Tech Group

Tag: Prescriptive

  • Simulating Business Processes for Descriptive, Predictive, and Prescriptive Analytics

    Simulating Business Processes for Descriptive, Predictive, and Prescriptive Analytics


    Price: $76.99 – $60.11
    (as of Dec 27,2024 18:10:51 UTC – Details)




    Publisher ‏ : ‎ De Gruyter; 1st edition (October 21, 2019)
    Language ‏ : ‎ English
    Perfect Paperback ‏ : ‎ 352 pages
    ISBN-10 ‏ : ‎ 1547416742
    ISBN-13 ‏ : ‎ 978-1547416745
    Item Weight ‏ : ‎ 1.32 pounds
    Dimensions ‏ : ‎ 6.69 x 0.8 x 9.45 inches


    In today’s rapidly evolving business landscape, companies are increasingly turning to analytics to gain valuable insights and make data-driven decisions. One key aspect of this is simulating business processes to better understand, predict, and optimize performance.

    Descriptive analytics involves analyzing historical data to understand what has happened in the past. By simulating business processes, companies can gain a clearer picture of how different factors have influenced outcomes in the past, helping them to identify patterns and trends.

    Predictive analytics takes this a step further, using statistical algorithms and machine learning techniques to forecast future outcomes. Simulating business processes allows companies to test different scenarios and predict how changes in variables will impact performance, enabling them to make more informed decisions and mitigate risks.

    Prescriptive analytics goes beyond predicting outcomes to recommending actions to achieve desired outcomes. By simulating business processes, companies can test different strategies and optimize decision-making processes to achieve their goals more effectively.

    Overall, simulating business processes for descriptive, predictive, and prescriptive analytics can provide companies with valuable insights and help them make more informed decisions to drive success in today’s competitive business environment.
    #Simulating #Business #Processes #Descriptive #Predictive #Prescriptive #Analytics

  • Intermediate Business Analytics: A Practical Approach to Descriptive, Prescriptive, and Predictive Analytics with R

    Intermediate Business Analytics: A Practical Approach to Descriptive, Prescriptive, and Predictive Analytics with R


    Price: $29.00
    (as of Dec 27,2024 06:43:09 UTC – Details)




    ASIN ‏ : ‎ B0B4DR1J8G
    Publisher ‏ : ‎ Independently published (June 23, 2022)
    Language ‏ : ‎ English
    Paperback ‏ : ‎ 351 pages
    ISBN-13 ‏ : ‎ 979-8837870552
    Item Weight ‏ : ‎ 1.69 pounds
    Dimensions ‏ : ‎ 7 x 0.83 x 10 inches


    Are you looking to take your business analytics skills to the next level? Look no further than our upcoming course, “Intermediate Business Analytics: A Practical Approach to Descriptive, Prescriptive, and Predictive Analytics with R.”

    In this course, you will learn how to use the powerful programming language R to analyze and visualize data, make informed business decisions, and predict future trends. We will cover a wide range of topics, including data cleaning and manipulation, exploratory data analysis, regression analysis, time series forecasting, and more.

    Whether you are a business professional looking to enhance your analytical skills or a data scientist looking to expand your knowledge of R, this course is perfect for you. Join us and take your business analytics skills to the next level!

    Stay tuned for more details on how to enroll in this exciting course. Don’t miss out on this opportunity to advance your career and become a more valuable asset to your organization.
    #Intermediate #Business #Analytics #Practical #Approach #Descriptive #Prescriptive #Predictive #Analytics

  • Prescriptive Analytics: The Final Frontier for Evidence-Based Management and Optimal Decision Making

    Prescriptive Analytics: The Final Frontier for Evidence-Based Management and Optimal Decision Making


    Price: $49.99 – $33.28
    (as of Dec 26,2024 16:32:32 UTC – Details)




    Publisher ‏ : ‎ Pearson FT Press; 1st edition (October 24, 2019)
    Language ‏ : ‎ English
    Paperback ‏ : ‎ 352 pages
    ISBN-10 ‏ : ‎ 0134387058
    ISBN-13 ‏ : ‎ 978-0134387055
    Item Weight ‏ : ‎ 12.8 ounces
    Dimensions ‏ : ‎ 6 x 0.85 x 8.95 inches


    Prescriptive Analytics: The Final Frontier for Evidence-Based Management and Optimal Decision Making

    In today’s fast-paced and data-driven business environment, making informed decisions based on reliable evidence is crucial for success. That’s where prescriptive analytics comes in. This cutting-edge technology goes beyond descriptive and predictive analytics to not only forecast what might happen in the future but also recommend the best course of action to achieve a desired outcome.

    Prescriptive analytics leverages advanced algorithms and machine learning to analyze vast amounts of data, identify patterns and trends, and simulate various scenarios to determine the most effective strategy. By using prescriptive analytics, organizations can optimize their operations, improve efficiency, mitigate risks, and maximize profitability.

    For evidence-based management, prescriptive analytics provides invaluable insights that enable leaders to make strategic decisions with confidence. Instead of relying on gut feelings or intuition, managers can rely on data-driven recommendations to guide their actions and ensure the best possible outcomes for their organization.

    Ultimately, prescriptive analytics is the final frontier for evidence-based management and optimal decision-making. By harnessing the power of this innovative technology, organizations can gain a competitive edge, drive innovation, and achieve sustainable growth in today’s dynamic and complex business landscape.
    #Prescriptive #Analytics #Final #Frontier #EvidenceBased #Management #Optimal #Decision #Making

  • Practical Data Analytics for Innovation in Medicine: Building Real Predictive and Prescriptive Models in Personalized Healthcare and Medical Research … (The Elsevier Science & Technology Books)

    Practical Data Analytics for Innovation in Medicine: Building Real Predictive and Prescriptive Models in Personalized Healthcare and Medical Research … (The Elsevier Science & Technology Books)


    Price: $120.00 – $82.80
    (as of Dec 26,2024 15:11:19 UTC – Details)




    Publisher ‏ : ‎ Academic Press; 2nd edition (April 13, 2023)
    Language ‏ : ‎ English
    Hardcover ‏ : ‎ 576 pages
    ISBN-10 ‏ : ‎ 0323952747
    ISBN-13 ‏ : ‎ 978-0323952743
    Item Weight ‏ : ‎ 4 pounds
    Dimensions ‏ : ‎ 8.5 x 1.5 x 10.75 inches


    In today’s rapidly evolving healthcare landscape, the use of data analytics is becoming increasingly important in driving innovation in medicine. From personalized treatment plans to cutting-edge medical research, the ability to harness and analyze data is revolutionizing the way we approach healthcare.

    In the book “Practical Data Analytics for Innovation in Medicine: Building Real Predictive and Prescriptive Models in Personalized Healthcare and Medical Research,” published by Elsevier Science & Technology Books, authors delve into the world of data analytics and its applications in the field of medicine.

    This comprehensive guide explores how data analytics can be used to develop predictive and prescriptive models that drive personalized healthcare and advance medical research. From utilizing machine learning algorithms to analyzing large datasets, readers will learn how to leverage data to make informed decisions and drive innovation in medicine.

    Whether you are a healthcare professional looking to enhance patient care or a researcher seeking to make advancements in medical science, this book serves as a valuable resource for understanding the role of data analytics in shaping the future of healthcare.

    With practical insights and real-world examples, “Practical Data Analytics for Innovation in Medicine” equips readers with the knowledge and tools needed to harness the power of data in driving innovation and improving outcomes in medicine. Whether you are new to data analytics or a seasoned professional, this book offers a comprehensive guide to leveraging data for transformative change in healthcare.
    #Practical #Data #Analytics #Innovation #Medicine #Building #Real #Predictive #Prescriptive #Models #Personalized #Healthcare #Medical #Research #Elsevier #Science #Technology #Books

  • Hands-On Prescriptive Analytics: Optimizing Your Decision Making with Python

    Hands-On Prescriptive Analytics: Optimizing Your Decision Making with Python


    Price: $58.14
    (as of Dec 24,2024 23:30:20 UTC – Details)


    From the brand

    oreilly

    oreilly

    Explore more Data Science

    Oreilly

    Oreilly

    Sharing the knowledge of experts

    O’Reilly’s mission is to change the world by sharing the knowledge of innovators. For over 40 years, we’ve inspired companies and individuals to do new things (and do them better) by providing the skills and understanding that are necessary for success.

    Our customers are hungry to build the innovations that propel the world forward. And we help them do just that.

    Publisher ‏ : ‎ O’Reilly Media; 1st edition (November 26, 2024)
    Language ‏ : ‎ English
    Paperback ‏ : ‎ 409 pages
    ISBN-10 ‏ : ‎ 1098153170
    ISBN-13 ‏ : ‎ 978-1098153175
    Item Weight ‏ : ‎ 1.44 pounds
    Dimensions ‏ : ‎ 7 x 0.84 x 9.19 inches


    In today’s data-driven world, making informed decisions is crucial for businesses to stay ahead of the competition. Prescriptive analytics is a powerful tool that helps organizations optimize their decision-making processes by providing recommendations on the best course of action to take.

    In this post, we will explore how you can leverage hands-on prescriptive analytics techniques using Python to enhance your decision-making capabilities. By combining data analysis, mathematical modeling, and optimization algorithms, you can gain valuable insights into complex business problems and make more strategic decisions.

    We will walk through a step-by-step guide on how to implement prescriptive analytics in Python, covering topics such as linear programming, integer programming, and constraint programming. We will also demonstrate how to use popular Python libraries such as PuLP and Pyomo to build and solve optimization models for various business scenarios.

    Whether you are a data scientist, business analyst, or decision maker, learning how to apply prescriptive analytics with Python can help you unlock new opportunities, improve efficiency, and drive better outcomes for your organization. Stay tuned for our upcoming posts as we dive deeper into the world of prescriptive analytics and show you how to unlock its full potential.
    #HandsOn #Prescriptive #Analytics #Optimizing #Decision #Making #Python

  • Cloud Design Patterns: Prescriptive Architecture Guidance for Cloud Applications (Microsoft patterns & practices)

    Cloud Design Patterns: Prescriptive Architecture Guidance for Cloud Applications (Microsoft patterns & practices)


    Price: $13.99
    (as of Dec 13,2024 06:11:39 UTC – Details)




    ASIN ‏ : ‎ B00ITGHBBS
    Publisher ‏ : ‎ Microsoft patterns & practices (February 17, 2014)
    Publication date ‏ : ‎ February 17, 2014
    Language ‏ : ‎ English
    File size ‏ : ‎ 6047 KB
    Simultaneous device usage ‏ : ‎ Unlimited
    Text-to-Speech ‏ : ‎ Enabled
    Screen Reader ‏ : ‎ Supported
    Enhanced typesetting ‏ : ‎ Enabled
    X-Ray ‏ : ‎ Not Enabled
    Word Wise ‏ : ‎ Not Enabled
    Print length ‏ : ‎ 502 pages


    Cloud Design Patterns: Prescriptive Architecture Guidance for Cloud Applications (Microsoft patterns & practices)

    In today’s rapidly evolving technological landscape, organizations are increasingly turning to the cloud to meet their computing and storage needs. However, transitioning to the cloud can be a complex and daunting task, especially for organizations without prior experience in cloud computing. That’s where cloud design patterns come in.

    Cloud design patterns provide prescriptive architecture guidance for building and deploying cloud applications. Developed by Microsoft patterns & practices, these patterns offer a set of best practices and proven solutions for common challenges encountered when designing and implementing cloud applications.

    Whether you’re looking to build a scalable, reliable, or secure cloud application, cloud design patterns can help you navigate the complexities of the cloud and ensure your application is optimized for performance, cost-efficiency, and resilience.

    From patterns for handling data storage and processing to patterns for managing application scalability and fault tolerance, Microsoft’s cloud design patterns provide a comprehensive framework for architecting cloud applications that meet the demands of today’s digital economy.

    By leveraging these patterns, organizations can accelerate their cloud adoption journey, reduce development costs, and deliver more robust and efficient cloud applications that drive business success.

    If you’re looking to harness the power of the cloud for your organization, consider exploring Microsoft’s cloud design patterns and discover how they can help you unlock the full potential of cloud computing.
    #Cloud #Design #Patterns #Prescriptive #Architecture #Guidance #Cloud #Applications #Microsoft #patterns #practices

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