http://www.burtongroup.com/Research/DocumentList.aspx?cid=68 Data Management Strategies helps enterprises advance business performance through the effective use of database management systems, XML data management and standards, data modeling tools and techniques, and business intelligence tools and services. en-us © 2010 Burton Group. All rights reserved http://webstager.tbg.com/Client/Research/Document.aspx?cid=1960 http://webstager.tbg.com/Client/Research/Document.aspx?cid=1960 This Reference Architecture template establishes a high-level context for examining the technologies, techniques, and related domains and focuses on data-management concerns. This update to the physical implementation (functional) template enhances the following area: a discussion about a tiered framework for business intelligence based on the decision scope, timeliness of information, and processing complexity. Template Wed, 01 Sep 2010 01:00:00 GMT http://webstager.tbg.com/Client/Research/Document.aspx?cid=2052 http://webstager.tbg.com/Client/Research/Document.aspx?cid=2052 Many organizations are struggling with the twin issues of rapidly increasing data volumes and increasingly stringent regulatory compliance policies. Database archiving has the potential to solve both these issues and therefore should be in the in-tray of all CIOs. Although the benefits are great, the complexity of database archiving infrastructure and processing means that the implementation of such an initiative is fraught with technical risk. An IT organization should lead a cross-disciplinary team to deploy a database archiving initiative as part of its overall responsibility for data management in the enterprise. Assessment (Single Instance Use Case) Fri, 20 Aug 2010 01:00:00 GMT http://webstager.tbg.com/Client/Research/Document.aspx?cid=1968 http://webstager.tbg.com/Client/Research/Document.aspx?cid=1968 This Reference Architecture template establishes a high-level context for examining the technologies, techniques, and related domains and is focused on data-management concerns. In this update to the business intelligence template, the following areas are enhanced: the analytical engine and specifically details on the different types of analysis by business function; the business intelligence platform and its relationship to the selection of such an engine; and data-quality engine core and functional capabilities. Template Tue, 10 Aug 2010 01:00:00 GMT http://webstager.tbg.com/Client/Research/Document.aspx?cid=2092 http://webstager.tbg.com/Client/Research/Document.aspx?cid=2092 The traditional view of business intelligence is of operational systems feeding a data warehouse through an extract, transform and load data pipeline. Increasingly, organizations are realizing the retrospective view of data does not sufficiently meet the demands of companies that need to function at internet speed. Real-time data analysis on streaming data is fast emerging as an important product sector. Historically rooted in the financial services sector, real-time data analysis is now expanding into fraud detection, intelligence gathering, telecommunications network monitoring etc. In this session, Senior Analyst Marcus Collins outlines the business case for real-time business intelligence, discusses the strengths and weaknesses of the differing data streaming models, and compares the various offerings that are available today. TeleBriefing Fri, 06 Aug 2010 14:00:00 GMT http://webstager.tbg.com/Client/Research/Document.aspx?cid=1963 http://webstager.tbg.com/Client/Research/Document.aspx?cid=1963 This reference architecture establishes a high-level context for examining the technologies, techniques, and related domains and is focused on data-management concerns. In this update to the physical implementation (architectural) template the following areas were enhanced – symmetric multi-processor architecture and concerns as workload is consolidated on this platform; a classification framework for cloud databases based on the Burton Group cloud architecture. Template Thu, 22 Jul 2010 01:00:00 GMT http://webstager.tbg.com/Client/Research/Document.aspx?cid=1913 http://webstager.tbg.com/Client/Research/Document.aspx?cid=1913 This reference architecture establishes a high-level context for examining the technologies, techniques, and related domains and is focused on data-management concerns. This update to the root template adds link to the following recently published research – a framework for the justification of data management; information quality in enterprises; a framework for evaluating BI platforms; business insight through real-time analysis; data modeling without meeting – wiki’s in the modeling process. Root Template Wed, 14 Jul 2010 14:00:00 GMT http://webstager.tbg.com/Client/Research/Document.aspx?cid=2087 http://webstager.tbg.com/Client/Research/Document.aspx?cid=2087 Governance reporting is a management tool that helps governance leaders to win senior executive support for their programs. Effective governance reports help executives understand how governance programs increase operational efficiency and encourage innovation. Unfortunately, many governance leaders miss opportunities to advance their cause when they write reports about problems (e.g., fixing a data error) versus writing about solutions (e.g., eliminating data errors improved targeted marketing that, in turn, produced 10% more revenue). In this guidance document, Joseph M. Bugajski, research vice president, guides governance teams to build pragmatic reports that explain the value of effective governance programs. Guidance Thu, 08 Jul 2010 01:00:00 GMT http://webstager.tbg.com/Client/Research/Document.aspx?cid=1986 http://webstager.tbg.com/Client/Research/Document.aspx?cid=1986 Business intelligence (BI) infrastructure teams struggle with a surfeit of expensive BI platforms that generate insufficient business value. SelectBI is Burton Group’s framework to help BI infrastructure teams choose the best BI platforms for their customers. In this Burton Group guidance document, Principal Analyst Joseph M. Bugajski presents the three steps of SelectBI. First, the infrastructure team classifies their information consumers. Second, the team matches consumers with analytical artifacts. Third, the team maps artifact consumers to the corresponding components of a BI platform. Guidance Wed, 30 Jun 2010 01:00:00 GMT http://webstager.tbg.com/Client/Research/Document.aspx?cid=1987 http://webstager.tbg.com/Client/Research/Document.aspx?cid=1987 As a collaboration medium, wiki has evolved from a set of features into a zeitgeist: “We’re using a wiki” often means “We’re approaching this problem with the mindset epitomized by wikis.” As that mindset permeates the information culture, it is applied to a widening array of problems. Recent efforts to use wikis for requirements gathering—specifically for conceptual data modeling—show how conceptual data modeling is and is not amenable to collaboration techniques that are distributed, asynchronous, or both. Burton Group Senior Analyst Joe Maguire advises on how such techniques can support certain aspects of data modeling and hinder others. Assessment (Single Instance Use Case) Thu, 17 Jun 2010 01:00:00 GMT http://webstager.tbg.com/Client/Research/Document.aspx?cid=1884 http://webstager.tbg.com/Client/Research/Document.aspx?cid=1884 Although most business and IT leaders agree that data is one of an organization’s most valuable assets, its formal management continues to fall to the bottom of the list of nice ideas. Justifying formal data management is one of the biggest challenges facing data advocates in resolving data challenges. Little information is available for building a justification because the majority of benefits to well-managed data are either intangible or realized through other initiatives. The focus has been on the technology-focused data initiatives that, ironically, rely heavily on well-managed data. In this Burton Group assessment, Analyst Noreen Kendle offers insightful information that will help build a strong justification to institute formal data management. Assessment (Single Instance Use Case) Thu, 10 Jun 2010 01:00:00 GMT