Silo-Busting - A Primer
Many companies are unsure when to initiate their silo-busting task. Here’s a primer.
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Identifying Silos in an Organization
Companies today have disparate technology systems – silos – that don’t talk to one another, and difficult to maintain and fix. How did this come about, and why should such silos be busted?
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Challenges of Silo-Busting
Who said breaking silos and creating integrating systems is easy? But continuing with the status quo is simply not an option - the benefits in efficiency, costs and competitiveness that integration offers are compelling.
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The Routes to Silo-Busting
There’s more than one way to bust a silo. Companies can choose between different methods depending on their needs.
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Accelerating Enterprise Data Governance Part 1
In the first of this series of three white papers, Mike Ferguson of Intelligent Business Strategies defines what data governance is and then looks at the requirements that need to be met for full data governance to be implemented. He also discusses how to systematically build re-usable data services to automate the tasks needed to formally govern data on an enterprisewide basis in order to accelerate the time to production and guarantee rock-solid data.
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Accelerating Enterprise Data Governance Part 2
In the second of this series of three white papers, Mike Ferguson of Intelligent Business Strategies examines the importance of having set of data governance services that automate run-time data governance processes for master and transactional data in order to formally govern this data, no matter where it is used in the enterprise. He gives particular attention to how data governance services can be systematically deployed in layers so that re-use of data services can guarantee consistency when automating the tasks needed to formally govern data on an enterprisewide basis.
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Accelerating Enterprise Data Governance Part 3
In the third of three white papers in this series, having previously defined data governance and having presented a cyclic methodology for building data services associated with master and transaction data, Mike Ferguson of Intelligent Business Strategies concludes by looking at how to make all of this a reality. Particularly, he considers the DataFlux Accelerators and how these pre-built services can expedite the time to implement enterprise data governance.
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Data Profiling, Data Integration and Data Quality: The Pillars of Master Data Management
As organizations increasingly focus on master data integration, their reliance on readily available technologies, couched within an enterprise governance framework, will continue to drive both analytic and operational productivity improvement. This white paper by David Loshin, published in association with the Business Intelligence Network, shows how data profiling, data integration, and data quality serve as the three pillars of master data management and can build a stable framework for that goal.
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Data Quality Goes International
Data quality is a critical issue for any organization preparing to compete in the global market. Companies must be prepared to deal with unfamiliar languages, cultures, and standards - and find a way to create an effective competitive advantage. This white paper by Robert Lerner addresses some of the data quality challenges facing businesses undertaking internationalization, and also considers why, when it comes to data quality, globalization should begin at home.
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