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Showing 1 - 6 of 6 matches in All Departments
Business Intelligence: The Savvy Managers Guide, Second Edition, discusses the objectives and practices for designing and deploying a business intelligence (BI) program. It looks at the basics of a BI program, from the value of information and the mechanics of planning for success to data model infrastructure, data preparation, data analysis, integration, knowledge discovery, and the actual use of discovered knowledge. Organized into 21 chapters, this book begins with an overview of the kind of knowledge that can be exposed and exploited through the use of BI. It then proceeds with a discussion of information use in the context of how value is created within an organization, how BI can improve the ways of doing business, and organizational preparedness for exploiting the results of a BI program. It also looks at some of the critical factors to be taken into account in the planning and execution of a successful BI program. In addition, the reader is introduced to considerations for developing the BI roadmap, the platforms for analysis such as data warehouses, and the concepts of business metadata. Other chapters focus on data preparation and data discovery, the business rules approach, and data mining techniques and predictive analytics. Finally, emerging technologies such as text analytics and sentiment analysis are considered. This book will be valuable to data management and BI professionals, including senior and middle-level managers, Chief Information Officers and Chief Data Officers, senior business executives and business staff members, database or software engineers, and business analysts.
"Using Information to Develop a Culture of Customer Centricity" sets the stage for understanding the holistic marriage of information, socialization, and process change necessary for transitioning an organization to customer centricity. The book begins with an overview list of 8-10 precepts associated with a business-focused view of the knowledge necessary for developing customer-oriented business processes that lead to excellent customer experiences resulting in increased revenues. Each chapter delves into each precept in more detail.
"Big Data Analytics" will assist managers in providing an
overview of the drivers for introducing big data technology into
the organization and for understanding the types of business
problems best suited to big data analytics solutions, understanding
the value drivers and benefits, strategic planning, developing a
pilot, and eventually planning to integrate back into production
within the enterprise.
Business problems are directly related to missed data quality
expectations. Flawed information production processes introduce
risks preventing the successful achievement of critical business
objectives. However, these flaws are mitigated through data quality
management and control: controlling the quality of the information
production process from beginning to end to ensure that any
imperfections are identified early, prioritized, and remediated
before material impacts can be incurred. "The Practitioner's Guide
to Data Quality Improvement" shares the fundamentals for
understanding the impacts of poor data quality, and guides
practitioners and managers alike in socializing, gaining
sponsorship for, planning, and establishing a data quality program.
This book shares templates and processes for business impact
analysis, defining data quality metrics, inspection and monitoring,
remediation, and using data quality tools. Never shying away from
the difficult topics or subjects, this is the seminal book that
offers advice on how to actually get the job done.
The key to a successful MDM initiative isn't technology or methods,
it's people: the stakeholders in the organization and their complex
ownership of the data that the initiative will affect.
Today, companies capture and store tremendous amounts of
information about every aspect of their business: their customers,
partners, vendors, markets, and more. But with the rise in the
quantity of information has come a corresponding decrease in its
quality--a problem businesses recognize and are working feverishly
to solve.
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