Wojciech Woziwodzki, co-founder, president, and CEO of Tequila Mobile SA, a mobile games developer, publisher, and service provider, had to make some important strategic decisions. Tequila Mobile SA had already decided to shift to a new "free2play" revenue model but needed to decide whether to focus on building its business in markets where penetration of smartphone devices was high and the economy was developed or in markets where the use of mobile devices was taking off but the economy was still developing. The other critical decision was whether to continue to invest in in-house game development or focus on being a platform providing tools for third-party developers. The mobile game industry had exploded in recent years with the introduction of smartphones, application (app) stores, and cell phone penetration into developing economies. It brought with it a significant increase in the number of mobile games being developed and published, and Woziwodzki wanted to differentiate Tequila Mobile SA from the growing number of players in the quickly evolving industry.

Business Intelligence: Making Decisions through Data Analytics is a six-chapter book written by Dr. Jerzy Surma, an assistant professor at Warsaw School of Economics, and published by Business Expert Press in January of 2011. Written for managers, business consultants, and undergraduate and postgraduate students in business administration, the book explores the use of business intelligence (BI), including data warehousing and data analytics, to support managerial decision-making. The author starts by examining data model infrastructure, then data preparation, followed by data analysis, integration, knowledge discovery, and finally the actual use of discovered knowledge. All examples are based on recent achievements in BI. Finally, the book outlines an overview of a methodology that takes into account the complexity of developing applications in an integrated BI environment. Chapter 1 presents the history of business intelligence (BI), defines pertinent terminology, and reviews BI's possible applications in selected businesses. The chapter concludes with a brief case study highlighting BI concepts that are used to fulfill a company's strategic initiatives.

Business Intelligence: Making Decisions through Data Analytics is a six-chapter book written by Dr. Jerzy Surma, an assistant professor at Warsaw School of Economics, and published by Business Expert Press in January of 2011. Written for managers, business consultants, and undergraduate and postgraduate students in business administration, the book explores the use of business intelligence (BI), including data warehousing and data analytics, to support managerial decision-making. The author starts by examining data model infrastructure, then data preparation, followed by data analysis, integration, knowledge discovery, and finally the actual use of discovered knowledge. All examples are based on recent achievements in BI. Finally, the book outlines an overview of a methodology that takes into account the complexity of developing applications in an integrated BI environment. Chapter 2 first examines the structure and technological role data warehousing plays in business intelligence. It then discusses how data are collected, organized, and modeled for application to business analysis and explains the four steps in designing a data warehouse.

Business Intelligence: Making Decisions through Data Analytics is a six-chapter book written by Dr. Jerzy Surma, an assistant professor at Warsaw School of Economics, and published by Business Expert Press in January of 2011. Written for managers, business consultants, and undergraduate and postgraduate students in business administration, the book explores the use of business intelligence (BI), including data warehousing and data analytics, to support managerial decision-making. The author starts by examining data model infrastructure, then data preparation, followed by data analysis, integration, knowledge discovery, and finally the actual use of discovered knowledge. All examples are based on recent achievements in BI. Finally, the book outlines an overview of a methodology that takes into account the complexity of developing applications in an integrated BI environment. Chapter 3 introduces analytical data mining and explains basic analytical operations using a detailed example. Managerial information and its applications in selected areas in enterprise are discussed. The use of business intelligence (BI) tools in the management of business processes and a company's strategy by means of a balanced scorecard are examined. The role of BI in strategic information management is also discussed.

Business Intelligence: Making Decisions through Data Analytics is a six-chapter book written by Dr. Jerzy Surma, an assistant professor at Warsaw School of Economics, and published by Business Expert Press in January of 2011. Written for managers, business consultants, and undergraduate and postgraduate students in business administration, the book explores the use of business intelligence (BI), including data warehousing and data analytics, to support managerial decision-making. The author starts by examining data model infrastructure, then data preparation, followed by data analysis, integration, knowledge discovery, and finally the actual use of discovered knowledge. All examples are based on recent achievements in BI. Finally, the book outlines an overview of a methodology that takes into account the complexity of developing applications in an integrated BI environment. In Chapter 4, the author examines data exploration and the business applications of advanced analyses. The four classic tasks of data mining are discussed at length: classification, cluster analysis, estimation, and mining association rules. Limitations of data exploration methods are analyzed in detail, and standard business applications are reviewed

Business Intelligence: Making Decisions through Data Analytics is a six-chapter book written by Dr. Jerzy Surma, an assistant professor at Warsaw School of Economics, and published by Business Expert Press in January of 2011. Written for managers, business consultants, and undergraduate and postgraduate students in business administration, the book explores the use of business intelligence (BI), including data warehousing and data analytics, to support managerial decision-making. The author starts by examining data model infrastructure, then data preparation, followed by data analysis, integration, knowledge discovery, and finally the actual use of discovered knowledge. All examples are based on recent achievements in BI. Finally, the book outlines an overview of a methodology that takes into account the complexity of developing applications in an integrated BI environment. Chapter 5 explores issues related to the analysis of personal data and its application in direct marketing, and considers the use of business intelligence systems to analyze human behavior. The chapter also examines the development of the field of customer intelligence and its revolutionary influence on the daily life of actual and potential customers.

Business Intelligence: Making Decisions through Data Analytics is a six-chapter book written by Dr. Jerzy Surma, an assistant professor at Warsaw School of Economics, and published by Business Expert Press in January of 2011. Written for managers, business consultants, and undergraduate and postgraduate students in business administration, the book explores the use of business intelligence (BI), including data warehousing and data analytics, to support managerial decision-making. The author starts by examining data model infrastructure, then data preparation, followed by data analysis, integration, knowledge discovery, and finally the actual use of discovered knowledge. All examples are based on recent achievements in BI. Finally, the book outlines an overview of a methodology that takes into account the complexity of developing applications in an integrated BI environment. The sixth and final chapter examines the difficulties of quantifying the impacts of the applications of business intelligence (BI) discussed earlier in the text. It presents a model based on the concept of a strategy map, which shows relationships between the application of BI systems and the potential enhancement of a company's value. The author considers ways of connecting BI implementation with a company's business processes, the conditions necessary for success (as well as potential threats), and methods for estimating the return on investment from such projects. He also discusses change management issues and the role of human capital.