Business Transformation: A Roadmap for Maximizing Organizational Insights
| AUTHOR | Zeid; Zeid; Zeid et al. |
| PUBLISHER | Wiley (03/17/2014) |
| PRODUCT TYPE | Hardcover (Hardcover) |
Effectively introduce and promote analytics within your enterprise
All companies use information to set strategies and accomplish business objectives. But how many CEOs and CIOs would say they are satisfied that their companies get maximum value from information? Business Transformation reveals how SAS's Information Evolution Model (IEM) can be used together with analytics for groundbreaking results. Author Aiman Zeid provides the necessary information you need to introduce and promote the use of analytics and insight across your organization. Along with examples and best practices of global companies that have successfully been through this process, you'll learn how to identify the starting point and develop a road map for execution.
- Reveals how to introduce and promote the use of analytics and insights across your organization
- Written by a lead developer at SAS global Business Intelligence Competency Center program and services
- Features global case studies and examples
Practical and insightful, this reference provides businesses with an essential blueprint for creating improvements that optimize business returns and put the potential of data analytics to work.
Is your organization getting maximum value from its data? Organizations should use information to set strategies and accomplish business objectives. However, many struggle to embed this process into their organization's DNA. As part of the Wiley and SAS Business Series, Business Transformation: A Roadmap for Maximizing Organizational Insights helps CEOs, CFOs, CMOs, CIOs, and business leaders better understand how to promote business analytics within their organizations and use it to develop a roadmap for success.
SAS has developed an Information Evolution Model (IEM) to aid organizations in assessing how they use information to drive business. The goal of Business Transformation is to explain how IEM can be used, together with analytics, to develop successful strategies. The key is aligning the organization's pillars to evolve the maturity level of organizations.
Today's global economy requires that predictive analytics and forecasting play a more active role in decision-making. This book provides not only best practices in managing and analyzing data, but also real-world examples from global organizations that have successfully completed this transformation into using business analytics in a more proactive, powerful way. Zeid argues persuasively that you can't just bring in technology to solve your business problems and expect it to do all of the work. But rather, you must have the infrastructure capabilities, the skilled resources, the information processes, and the cultural commitment to derive the most value from your data.
Business Transformation teaches business leaders to align their resources and develop a fact-based and analytically driven environment. It provides the blueprint organizations need to understand business insight, harness its power, and then develop a roadmap to transform their organization for success in today's digital economy.
Is your organization getting maximum value from its data? Organizations should use information to set strategies and accomplish business objectives. However, many struggle to embed this process into their organization's DNA. As part of the Wiley and SAS Business Series, Business Transformation: A Roadmap for Maximizing Organizational Insights helps CEOs, CFOs, CMOs, CIOs, and business leaders better understand how to promote business analytics within their organizations and use it to develop a roadmap for success.
SAS has developed an Information Evolution Model (IEM) to aid organizations in assessing how they use information to drive business. The goal of Business Transformation is to explain how IEM can be used, together with analytics, to develop successful strategies. The key is aligning the organization's pillars to evolve the maturity level of organizations.
Today's global economy requires that predictive analytics and forecasting play a more active role in decision-making. This book provides not only best practices in managing and analyzing data, but also real-world examples from global organizations that have successfully completed this transformation into using business analytics in a more proactive, powerful way. Zeid argues persuasively that you can't just bring in technology to solve your business problems and expect it to do all of the work. But rather, you must have the infrastructure capabilities, the skilled resources, the information processes, and the cultural commitment to derive the most value from your data.
Business Transformation teaches business leaders to align their resources and develop a fact-based and analytically driven environment. It provides the blueprint organizations need to understand business insight, harness its power, and then develop a roadmap to transform their organization for success in today's digital economy.
Effectively introduce and promote analytics within your enterprise
All companies use information to set strategies and accomplish business objectives. But how many CEOs and CIOs would say they are satisfied that their companies get maximum value from information? Business Transformation reveals how SAS's Information Evolution Model (IEM) can be used together with analytics for groundbreaking results. Author Aiman Zeid provides the necessary information you need to introduce and promote the use of analytics and insight across your organization. Along with examples and best practices of global companies that have successfully been through this process, you'll learn how to identify the starting point and develop a road map for execution.
- Reveals how to introduce and promote the use of analytics and insights across your organization
- Written by a lead developer at SAS global Business Intelligence Competency Center program and services
- Features global case studies and examples
Practical and insightful, this reference provides businesses with an essential blueprint for creating improvements that optimize business returns and put the potential of data analytics to work.
