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Business Intelligence (BI)
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Documents related to » data warehouse info bi


BI State of the Market Report
IT departments rarely know as much about a business as the business people themselves. But business users still depend on IT to deliver answers related to the

data warehouse info bi  be part the enterprise data warehouse model. For example, live, streaming data is very likely to become a key component of the enterprise dashboard. Some, if not most, of this streaming content is likely to come from outside the firewall. Plus, there are a growing number of companies offering useful widgets that can be placed on the user desktop, such as newsfeeds, weather bulletins and other alerts. Some charts and graphs may be served up from partner''s BI systems as well, for example, a chart showing Read More...
Enterprise Information Management: Strategy, Best Practices, and Technologies on Your Path to Success
New data sources, unstructured data, and greater volumes of data than ever before are creating an information overload. Plus, customers’ demands for faster

data warehouse info bi  some will have a data warehouse in the process flow, but regardless, the technology of choice to perform data movement is ETL. Data Quality Building trusted information is an EIM best practice. Organizations build and maintain trusted data at every step in the data supply chain. The concept of the data supply chain has no greater relevance than in the EIM context. Figure 4 shows how data quality technology intersects with a classic data supply chain: In Figure 4 we can see data quality operations exist Read More...
A Demand-driven Approach to BI
The core concept behind the Vanguard solution is that business intelligence (BI) must be demand-driven, which means that the business needs of the user dictate

data warehouse info bi  necessarily relying on a data warehouse (DW) or repository, which will be detailed later on. Business users receive Information Views on a predefined schedule via e-mail, or over a network, or by accessing a Web page. For example, one Vanguard customer uses eDeployment to deliver updated Information Views via e-mail to several hundred sales executives across the US every Monday morning. The sales executives are then able to take the information with them on their laptops in a disconnected and mobile Read More...
SAP HANA-One Technology to Watch in 2012 (and Beyond)
Did you know that SAP HANA is much more than a high-speed analytic appliance? TEC principal analyst P.J. Jakovljevic reveals how HANA is a universal database

data warehouse info bi  e-mail inbox), an OLAP data warehouse for analysis of users’ logs and preferences, etc. The differences are nuanced, and these nuances present the advantage of one database (approach) over another. To that end, HANA’s purpose is not to necessarily unify all of these disparate worlds and approaches, but rather to reduce the differences and chasm between them. What HANA brings to the table is the speed of combining predictive algorithms with cashed data. Furthermore, HANA features column-oriented data Read More...
Lifting a Veil of Mystery Off Jesta I.S.
Even after nearly 15 years as an enterprise analyst, I still find myself coming across a vendor that has been around for more than 40 years but one that I am

data warehouse info bi  be leveraging our cubed data warehouse offering to introduce in-memory capabilities powered by Oracle Exadata and Exalytics . TEC: Would you like to provide any opinion on the recent mega merger between JDA Software and RedPrairie , and whether it has any bearing on Jesta I.S.? AG: Nothing other than the fact that we are suddenly seeing an increased volume of queries originating from JDA’s incumbent customers. Recommended Reading Epicor Retail: Behind the Counter . April 24, 2012. NRF 2013 Highlights: Read More...
Data Center Projects: Advantages of Using a Reference Design
It is no longer practical or cost-effective to completely engineer all aspects of a unique data center. Re-use of proven, documented subsystems or complete

data warehouse info bi  aspects of a unique data center. Re-use of proven, documented subsystems or complete designs is a best practice for both new data centers and for upgrades to existing data centers. Adopting a well-conceived reference design can have a positive impact on both the project itself, as well as on the operation of the data center over its lifetime. Reference designs simplify and shorten the planning and implementation process and reduce downtime risks once up and running. In this paper reference designs are Read More...
Big Data Analytics: Profiling the Use of Analytical Platforms in User Organizations
While terabytes used to be synonymous with big data warehouses, now it’s petabytes, and the rate of growth in data volumes continues to escalate as

data warehouse info bi  Data Analytics: Profiling the Use of Analytical Platforms in User Organizations While terabytes used to be synonymous with big data warehouses, now it’s petabytes, and the rate of growth in data volumes continues to escalate as organizations seek to store and analyze greater levels of transaction details, as well as Web- and machine-generated data, to gain a better understanding of customer behavior and drivers. This report examines the rise of big data and the use of analytics to mine that data. Read More...
Guidelines for Specification of Data Center Power Density
Conventional methods for specifying data center density don’t provide the guidance to assure predictable power and cooling performance for the latest IT

data warehouse info bi  for Specification of Data Center Power Density Guidelines for Specification of Data Center Power Density If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. In today''s always on, always available world where businesses can''t stop and downtime is measured in dollars, American Power Conversion (APC) provides protection against some of the leading causes of downtime, data loss and hardware damage: power problems and temperature. Read More...
Meet PCI DSS Compliance Requirements for Test Data with Data Masking
Whether you’re working toward your first or your next payment card industry (PCI) data security standard (DSS) audit, you know compliance is measured on a

data warehouse info bi  Compliance Requirements for Test Data with Data Masking Whether you’re working toward your first or your next payment card industry (PCI) data security standard (DSS) audit, you know compliance is measured on a sliding scale. But full compliance can’t be achieved with just one policy or technology. Using data masking, a technology that alters sensitive information while preserving realism, production data can be eliminated from testing and development environments. Learn more. Read More...
Warehouse Management Systems: Pie in the Sky or Floating Bakery? Part One: Myths of the Warehouse Management Systems and Implementation
When searching for a warehouse management system (WMS), a number of myths surface.

data warehouse info bi  Management Systems: Pie in the Sky or Floating Bakery? Part One: Myths of the Warehouse Management Systems and Implementation Introduction I just returned from a week long conference and as one of the speakers/vendors there, I was not looking to receive the same thing that the attendees were looking to receive. I was looking for clients; however, I mostly found patients . I found most of my time was spent psychoanalyzing what people had been told by competitors and other logistics companies. Read More...
2012 Business Data Loss Survey results
This report on the Cibecs and IDG Connect 2012 business data loss survey uncovers the latest statistics and trends around enterprise data protection. Download

data warehouse info bi  Business Data Loss Survey results This report on the Cibecs and IDG Connect 2012 business data loss survey uncovers the latest statistics and trends around enterprise data protection. Download the full results now. Read More...
Oco’s
Last week my peer, Russell Cooper and I completed a successful certification of Oco Software’s business intelligence (BI) solution. Oco was represented by

data warehouse info bi  standard install a proprietary data extractor program that interfaces to known database-based enterprise resource planning (ERP) systems to retrieve the information for any of the categories listed above, taking into account that some categories may not be available from the client’s ERP business system extract data from flat (text) files and from other sources, such as spreadsheets The reports and dashboards that are provided allow a company to get into the BI analysis mode in very short order. Oco Read More...
Achieving a Successful Data Migration
The data migration phase can consume up to 40 percent of the budget for an application implementation or upgrade. Without separate metrics for migration, data

data warehouse info bi  a Successful Data Migration Achieving a Successful Data Migration If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. Informatica''s data migration solution decreases the risk and minimizes the errors inherent in data migration projects. At the same time, our solution reduces the costs of data migration projects by automating processes, improving business-IT collaboration, and incorporating proven best practices. Source : Informatic Read More...
The Data Warehouse RFP
If you don’t have a data warehouse, you’re probably considering drafting a request for proposal (RFP) to screen vendors and ensure that your receive

data warehouse info bi  Data Warehouse RFP If you don’t have a data warehouse, you’re probably considering drafting a request for proposal (RFP) to screen vendors and ensure that your receive satisfactory information about the features of various hardware and software and their price. Writing an effective RFP that is well structured and includes different metrics will ensure that you receive the information you need and will make you look good. Read More...
The Fast Path to Big Data
Today, most people acknowledge that big data is more than a fad and is a proven model for leveraging existing information sources to make smarter, more

data warehouse info bi  Fast Path to Big Data Today, most people acknowledge that big data is more than a fad and is a proven model for leveraging existing information sources to make smarter, more immediate decisions that result in better business outcomes. Big data has already been put in use by companies across vertical market segments to improve top- and bottom-line performance. As unstructured data becomes a pervasive source of business intelligence, big data will continue to play a more strategic role in enterprise Read More...

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