iSight for Innovation, Breakthrough collaboration for decision making
March 2012
Sponsored by Lyzasoft, Inc.
This paper presents iSight, a model of collaborative decision-making and innovation. It describes a high-level architecture, bringing together formal and informal information–the worlds of Business Intelligence and Enterprise 2.0, that maps to specific tools and methods required to create a systematic process within the enterprise to deliver real, implementable innovation. (more…)
The Seven Faces of Data, Rethinking data’s basic characteristics
November 2011
Sponsored by Teradata, Inc.
This paper proposes seven fundamental traits of data structure, composition and use that enable IT professionals to examine existing and new data sources and respond to the opportunities and challenges posed by new business demands and novel technological advances. (more…)
Freedom from Facets, Discovering the data you really need
October 2011
Sponsored by NeutrinoBI
In this paper, we describe freeform search–a method that enables business users with no knowledge of data structures and relationships to explore for themselves their structured business data in a wholly unstructured and adaptive manner. (more…)
Data Warehouse Design Redux, A Data Driven Approach
May 2011
Sponsored by WhereScape USA, Inc.
This paper first explores the issues that plague data warehouse development projects and the most common trades-off made by vendors and developers. One compelling solution, the concept of data driven design is described, and a number of recommendations are provided on how data warehouse design and population activities can be best structured for maximum accuracy and reliability in estimating project scope and schedule. (more…)
From BI to Enterprise IT Architecture
February 2011
From a series of articles published on B-Eye-Network.com from February 2010 to January 2011
Data warehousing / business intelligence has played a remarkable role in IT over the past few decades. It has remained a relatively closed ecosystem, both in terms of the vendors involved and the delivery teams within IT organizations. Signs are that that’s all about to change as the boundaries between operational and informational computing become increasingly blurred and Enterprise 2.0 finally catches on in business. This article explores the business and technological drivers for this change and its far-reaching implications for architects, developers and vendors alike. And it describes the architecture that’s needed to move the focus from business intelligence to the wider world of enterprise architecture.
Beyond Business Intelligence
June 2010
Business Intelligence Journal, Vol. 15, No. 2
It has been almost 25 years since the original data warehouse was conceived. Although the term business intelligence (BI) has since been introduced, little has changed from the original architecture. Meanwhile, business needs have expanded dramatically and technology has advanced far beyond what was even envisioned in the 1980s. These business and technology changes are driving a broader and more inclusive view of what the business needs from IT, not just in BI but across the entire spectrum–from transaction processing to social networking. If BI is to be at the center of this revolution, we practitioners must raise our heads above the battlements and propose a new, inclusive architecture for the future.
Business integrated insight (BI2) is that architecture. This article focuses on the information component of BI2–the business information resource. I introduce a data topography and a new modeling approach that can support data warehouse implementers to look beyond the traditional hard information content of BI and consider new ways of addressing such diverse areas as operational BI and (so-called) unstructured content. This is an opportunity to take the next step beyond BI to provide complete business insight.