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Four Key Pillars to a Big Data Management Solution
Posted in: Business Intelligence - May 01, 2013Big data has the potential to change the way that companies leverage data. Success factors for making the most of big data are beginning to emerge: using tools that simplify big data integration and manipulation, a greater need to apply data quality procedures, and applying project management and governance principles from the start to avoid repeating past mistakes.top
Four Key Pillars to a Big Data Management Solution
Posted in: Business Intelligence - May 01, 2013Big data has the potential to change the way that companies leverage data. Success factors for making the most of big data are beginning to emerge: using tools that simplify big data integration and manipulation, a greater need to apply data quality procedures, and applying project management and governance principles from the start to avoid repeating past mistakes.top
Challenges in the Effective Use of Master Data Management Techniques
Posted in: Business Intelligence - May 01, 2013Master data management is an activity that goes beyond the needs of any single business function, so it is important to finesse any recognized barriers to success. In this paper by data quality and MDM thought leader David Loshin, we look at how data consolidation (the typical approach to master data management) can fail to meet data consumption needs. By transitioning from a consolidation approach to a data utilization approach, you will see how MDM can contribute to a long-term information strategy that uses best practices to take advantage of shared repurposed enterprise information.top
Realizing the Potential of In-Memory Computing for BI and Analytics
Posted in: Business Intelligence - May 01, 2013or business intelligence and analytics, in-memory computing is a groundbreaking development. In-memory computing can free users from many of the performance constraints on data access and analysis caused by having to go to disk. Using expanded main memory opens up a much larger territory for running analytic functions against data locally, and for reports and analytic models that demand real-time data.top
Practical Fundamentals for Master Data Management
Posted in: Master Data Management - Apr 29, 2013Deploying enterprise master data management initiatives requires different levels of data management practice maturity and capability, but achieving significant value and tangible benefits early in the process is very possible. This paper looks at the levels of maturity and capability necessary for deploying enterprisewide initiatives, such as comprehensive MDM, and considers why these initiatives sometimes stall.top
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