Shawn Rogers

We are moving into an era where information is potentially more valuable than tangible things or services. Organizations who connect information with their product will have a huge advantage, and conversely, organizations that miss this transformation will find themselves increasingly un-competitive. No longer just something for the Information Technologists or Data Scientists to deal with, everyone who makes things or serves customers in some way needs to understand how people interact with… Show more

We are moving into an era where information is potentially more valuable than tangible things or services. Organizations who connect information with their product will have a huge advantage, and conversely, organizations that miss this transformation will find themselves increasingly un-competitive. No longer just something for the Information Technologists or Data Scientists to deal with, everyone who makes things or serves customers in some way needs to understand how people interact with their product or service in a very granular way. Show less

Powerful new analytics platforms are making it possible to deliver insights across the network and beyond in ways never before possible. Increasingly sophisticated and ambitious non-technical users -- the so-called citizen data scientists -- are driving analytics initiatives throughout all facets of the modern business.

Social Data Analytics is the first practical guide for professionals who want to employ social data for analytics and business intelligence (BI). This book provides a comprehensive overview of the technologies and platforms and shows you how to access and analyze the data. You'll explore the five major types of social data and learn from cases and platform examples to help you make the most of sentiment, behavioral, social graph, location, and rich media data. A four-step approach to the social… Show more

Social Data Analytics is the first practical guide for professionals who want to employ social data for analytics and business intelligence (BI). This book provides a comprehensive overview of the technologies and platforms and shows you how to access and analyze the data. You'll explore the five major types of social data and learn from cases and platform examples to help you make the most of sentiment, behavioral, social graph, location, and rich media data. A four-step approach to the social BI process will help you access, evaluate, collaborate, and share social data with ease.
You'll learn everything you need to know to monitor social media and get an overview of the leading vendors in a crowded space of BI applications. By the end of this book, you will be well prepared for your organization’s next social data analytics project. Show less

The practices and the implementation of business intelligence are no longer reserved for large enterprises with dedicated information technology (IT) teams. Business intelligence practices such as reporting and analytics are making their way to businesses of all sizes. Smaller organizations once considered that business intelligence was beyond their capital budgets, staff resources and technical environments. These companies under 500 headcount, or their independently operating department… Show more

The practices and the implementation of business intelligence are no longer reserved for large enterprises with dedicated information technology (IT) teams. Business intelligence practices such as reporting and analytics are making their way to businesses of all sizes. Smaller organizations once considered that business intelligence was beyond their capital budgets, staff resources and technical environments. These companies under 500 headcount, or their independently operating department brethren in larger enterprises, are often referred to as mid-sized organizations. These organizations are generally characterized by operating teams that due to operating constraints are focused more on effectively managing the top and bottom line of their businesses than they are on the technical elegance of how they operate their businesses. However, despite the focus on general business operations rather than technical implementations, mid-sized organizations have a strong interest in managing their businesses and utilizing all the resources at their disposal to drive revenue, lower costs and improve their margins. Show less

The world of Big Data is maturing at a dramatic pace and supporting many of the project activities, information users and financial sponsors that were once the domain of traditional structured data management projects. The 2013 EMA/9sight Big Data research makes a clear case for this maturation of Big Data as a critical approach for innovative companies. This year's survey went beyond simple questions of strategy, adoption and use to explore why and how companies are utilizing Big Data. This… Show more

The world of Big Data is maturing at a dramatic pace and supporting many of the project activities, information users and financial sponsors that were once the domain of traditional structured data management projects. The 2013 EMA/9sight Big Data research makes a clear case for this maturation of Big Data as a critical approach for innovative companies. This year's survey went beyond simple questions of strategy, adoption and use to explore why and how companies are utilizing Big Data. This year's findings show an increased level of Big Data sophistication between 2012 and 2013 respondents. Show less

Social analytics is much more than monitoring Twitter streams. Shawn Rogers of EMA talks about what’s important for the enterprise, the level of typical enterprise maturity and what companies need to do to progress along the maturity spectrum.

A research study executed to identify drivers, challenges and trends in the Big Data space.

Enterprise focus on Cloud computing is evolving fast. Overall Cloud adoption is growing, and early concerns over control and Cloud capabilities have given way to more meaningful business discussions centered on strategy and deployment.

For years our data management universe has been centered around the enterprise data warehouse (EDW). The EDW has served us well and created a foundation for todays sophisticated analytics. A paradigm shift driven by a maturing user community, new technology, economics and valuable data types is moving us towards a hybrid data ecosystem - See more at: http://blogs.enterprisemanagement.com/shawnrogers/#sthash.sw19WTq2.dpuf