Title
Business Analytics: A Practitioners Guide (International Series in Operations Research & Management Science, 186),New
Delivery time: 8-12 business days (International)
This book provides a guide to businesses on how to use analytics to help drive from ideas to execution. Analytics used in this way provides 'full lifecycle support' for business and helps during all stages of management decisionmaking and execution.The framework presented in the book enables the effective interplay of business, analytics, and information technology (business intelligence) both to leverage analytics for competitive advantage and to embed the use of business analytics into the business culture. It lays out an approach for analytics, describes the processes used, and provides guidance on how to scale analytics and how to develop analytics teams. It provides tools to improve analytics in a broad range of business situations, regardless of the level of maturity and the degree of executive sponsorship provided.The concepts include:Framework Three levels of analytics. Many analytics teams are at #2, where they are called on to provide analytics, acting as providers of data or advice. At #3, analytics is used to drive value from making effective decisions. Six components of analytics, three that fall into the traditional buckets of analytics, business, and IT (Decision Modeling, BI, and Decision Making), and three that get misplaced and trip up the practice of analytics: Data Stewardship, Decision Execution, and Decision Framing. Decisions occur in four layers: strategic, planning, scheduling, and workflow. Analytics models enable and interconnect these layers. These analytics layers can map to the systems in the Viable System Model proposed by Stafford Beer. Decision framing for the decision layers Decision modeling for the decision layers, including optimization, statistics, machine learning, surveying, experiments, etc. Defines what an analytics deliverable should contain. Decision making and managing biases Decision execution as a closed loop. How to apply what we've learned about motivation, incentive systems, and management by objectives. The evolution of BI (business intelligence) tools into closedloop analytics systems that can place analytics tools in the context of business apps. Data management including assessment, scrubbing, enrichment, tagging, hierarchies, and categories. Making organizations smarter by driving a culture of analytics Building an analytics capability, such as an Analytics CoE (Center of Excellence) Analytics methods, that can serve as project templates As a guide for practitioners and managers, the book will benefit people who work in analytics teams, the managers and leaders who manage, use and sponsor analytics, and those who work with and support business analytics teams.
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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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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.).
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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Your payment information is processed securely. We do not store credit card details nor have access to your credit card information.
We accept payments with :
Visa, MasterCard, American Express, Paypal, Shopify Payments, Shop Pay and more.