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Business Intelligence: Meet the Data Wranglers
Posted in: Uncategorized - May 07, 2011Learn how leading organizations such as ComScore, SecureAlert, Distribution Market Advantage and Southeast Texas Medical Associates are herding information to derive real business value. - Regardless of the business sector in which your company operates, chances are youre struggling with data overload. In fact, the wrangling of data has become a huge area of focus for most IT organizations. “Everybody is drowning in data, and we havent even seen a massive amount of data yet,” says Ho...top
State of the Data Integration Market
Posted in: Business Intelligence - May 04, 2011Data integration technology has evolved from simple extract, transform, and load (ETL) procedures to include real-time data movement, bidirectional replication/synchronization, along with data quality and data profiling. It plays a key role in data warehouses, data marts, decision support systems, data hubs, and many other critical information systems, both on premise and in the cloud. Yesterday’s ETL solutions have become complete data management platforms that support batch and real-time data access, heterogeneous changed data capture, Web services, and zero downtime migrations and upgrades. These platforms include sophisticated technology for data movement, data synchronization, data quality and data management. In short, what was once considered mere IT “plumbing” now influences just about every aspect of IT, and touches just about every type of stakeholder. This paper examines the trends that are driving data integration technology with attention to data access, data transformation, data availability, and other important features.top
Increase Business Intelligence Infrastructure Responsiveness and Reliability Using IT Automation
Posted in: Business Intelligence - May 04, 2011Helping business end users make the best decisions in response to fast-changing market conditions requires instant and accurate business information. The best way to make IT more responsive to business needs is to provide the tools and strategies to automate many of the processes that deliver BI services from the data center. Automating BI jobs delivers more accurate and relevant data, eliminates serious resource inefficiencies, and actually reduces IT capital and operating expense through elimination of duplicate and manual data management efforts and the associated expense of managing redundant solutions that proliferate throughout the business.top
Three Fundamental Techniques to Maximize the Value of Your Enterprise Data
Posted in: Business Intelligence - May 04, 2011Organizations have long sought to leverage the knowledge embedded within their existing data assets. However, this desire often clashes with a data environment that is siloed and inconsistent. This analyst white paper explores the methods used to improve and extend the use of enterprise data, and then examines technical considerations that suggest implementation techniques to address data reuse needs. The paper examines accessibility, transparency, and reliability, which are important topics that determine the corporation's ability to leverage information to its fullest. Author David Loshin, president of Knowledge Integrity, Inc., is a recognized thought leader and expert consultant in the areas of data quality, master data management, and business intelligence. David is a prolific author on BI best practices, with an expert channel on the BeyeNETWORK and numerous books and papers on BI and data quality.top
Increase Business Intelligence Infrastructure Responsiveness and Reliability Using IT Automation
Posted in: Business Intelligence - May 04, 2011Helping business end users make the best decisions in response to fast-changing market conditions requires instant and accurate business information. The best way to make IT more responsive to business needs is to provide the tools and strategies to automate many of the processes that deliver BI services from the data center. Automating BI jobs delivers more accurate and relevant data, eliminates serious resource inefficiencies, and actually reduces IT capital and operating expense through elimination of duplicate and manual data management efforts and the associated expense of managing redundant solutions that proliferate throughout the business.top
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