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Business Intelligence (BI)
Business Intelligence (BI)
Business intelligence (BI) and performance management applications enable real-time, interactive access, analysis, and manipulation of mission-critical corporate information. These applications pro...
 

 bi data warehouse info

Business Intelligence (BI) RFI / RFP Template

Reporting and Analysis, Analytics, Data Warehousing, Workflow, Data Integration, Support, and System Requirements Get this template

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Business Intelligence (BI)
Business Intelligence (BI)
Business intelligence (BI) and performance management applications enable real-time, interactive access, analysis, and manipulation of mission-critical corporate information. These applications pro...

Documents related to » bi data warehouse info

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 information that they receive. Learn how business intelligence (BI) 2.0—also known as collaborative BI—is helping business users create and modify their own reports, share and enrich information, and provide feedback to each other and to information producers.

bi data warehouse info  applies them in the BI space by making data the focus of user collaboration. The following sections take the capabilities above and list the functional requirements that support them. Bear in mind that each of these functional requirements is a business user requirement and not an IT or development requirement. Collaboration Collaboration is about being able to share insights and help others to gain insight. These are the main functional requirements for collaboration: the ability to use e-mail, instant 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 the technical solution, not the other way around. In other words, it should let the business users drive the process, and remove the problems of content relevance and software complexity.

bi data warehouse info  an understanding that the BI development cycle is inherently iterative and open-ended and that therefore the business decision maker needs to own the process. Thus, the vendor''s solution addresses the problem of content relevance by making the underlying data architecture transparent to the users, who have access to information from multiple systems, platforms, or locations, and view it in a functional user interface. To that end, Vanguard''s Unified Information Model (UIM) ensures that the appropriate Read More

The User's Undying Quest for Exploring and Discovering Info - Part 2


Part 1 of this blog series depicted the differences and some subtle similarities between the well-established enterprise applications giant, SAP, and up-and-coming vendor Endeca Technologies. The article ended with the new fundamentals for the future of enterprise applications that were outlined at the Endeca Discover 2009 conference. Part 2 of this blog series explores how

bi data warehouse info  to bring information and BI to all business users via simplicity and speed of search, and intuitive data exploration and  visualization . The idea is to create fast response across mountains of data without users having to resort to instinct-based or gut-feel-based (often wrong) decisions. There has been a trend of increased adoption of analytics, with a real data explosion (growing about 50 percent per year) and the frequent need for change in business. Casual information workers (non-IT staffers) 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 that will enable companies to analyze large volumes of operational and transactional information in real time, from virtually any data source, and that will eventually deliver an entirely new class of applications that will change the way people think, work, plan, and operate.

bi data warehouse info  supply chain responses and BI products. But SAP is betting on the integration, certification, and optimized performance of its products for HANA as the preferred database in the future. Thus, the indications are that every new research and development (R&D) request at SAP that is not HANA-based must be approved by the board. We may be still a long way from seeing SAP HANA replace Oracle, IBM DB2 , or Microsoft SQL Server as the transactional data manager for SAP Business Suite (and Progress OpenEdge in 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 not familiar with. One such example is Montreal, Canada-based Jesta I.S., a vendor that delivers integrated enterprise resource planning (ERP) and supply chain management (SCM) solutions to manufacturers, wholesalers, distributors, and

bi data warehouse info  in-store POS, back-office, and BI apps. In addition, we are trying to introduce white label consumer-facing mobile apps that will have a tight integration layer with social media. TEC: What is your high-volume retail analytics (big data) strategy, e.g., customer analytics, social analytics, etc? Are there any generally available offerings? AG: We are still in the process of flushing out the details of our big data strategy. Most likely, we will be leveraging our cubed data warehouse offering to introduce 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 equipment. Discover an improved method that can help assure compatibility with anticipated high-density loads, provide unambiguous instruction for design and installation of power and cooling equipment, prevent oversizing, and maximize electrical efficiency.

bi data warehouse info  data center density are ambiguous and misleading. Describing data center density using Watts / ft² or Watts / m² is not sufficient to determine power or cooling compatibility with high density computing loads like blade servers. Historically there is no clear standard way of specifying data centers to achieve predictable behavior with high density loads. An appropriate specification for data center density should assure compatibility with anticipated high density loads, provide unambiguous instruction Read More

TCO Analysis of a Traditional Data Center vs. a Scalable, Containerized Data Center


Standardized, scalable, pre-assembled, and integrated data center facility power and cooling modules provide a total cost of ownership (TCO) savings of 30% compared with traditional, built-out data center power and cooling infrastructure. Avoiding overbuilt capacity and scaling the design over time contributes to a significant percentage of the overall savings. This white paper provides a quantitative TCO analysis of the two architectures, and illustrates the key drivers of both the capex and opex savings of the improved architecture.

bi data warehouse info  Analysis of a Traditional Data Center vs. a Scalable, Containerized Data Center Standardized, scalable, pre-assembled, and integrated data center facility power and cooling modules provide a total cost of ownership (TCO) savings of 30% compared with traditional, built-out data center power and cooling infrastructure. Avoiding overbuilt capacity and scaling the design over time contributes to a significant percentage of the overall savings. This white paper provides a quantitative TCO analysis of the Read More

Types of Prefabricated Modular Data Centers


Data center systems or subsystems that are pre-assembled in a factory are often described with terms like prefabricated, containerized, modular, skid-based, pod-based, mobile, portable, self-contained, all-in-one, and more. There are, however, important distinctions between the various types of factory-built building blocks on the market. This paper proposes standard terminology for categorizing the types of prefabricated modular data centers, defines and compares their key attributes, and provides a framework for choosing the best approach(es) based on business requirements.

bi data warehouse info  containerized, modular, skid-based, pod-based, mobile, portable, self-contained, all-in-one, and more. There are, however, important distinctions between the various types of factory-built building blocks on the market. This paper proposes standard terminology for categorizing the types of prefabricated modular data centers, defines and compares their key attributes, and provides a framework for choosing the best approach(es) based on business requirements. Read More

Making Big Data Actionable: How Data Visualization and Other Tools Change the Game


To make big data actionable and profitable, firms must find ways to leverage their data. One option is to adopt powerful visualization tools. Through visualization, organizations can find and communicate new insights more easily. Learn how to make big data more actionable by using compelling data visualization tools and techniques.

bi data warehouse info  Big Data Actionable: How Data Visualization and Other Tools Change the Game To make big data actionable and profitable, firms must find ways to leverage their data. One option is to adopt powerful visualization tools. Through visualization, organizations can find and communicate new insights more easily. Learn how to make big data more actionable by using compelling data visualization tools and techniques. Read More

Master Data Management and Accurate Data Matching


Have you ever received a call from your existing long-distance phone company asking you to switch to its service and wondered why they are calling? Chances are the integrity of its data is so poor that the company has no idea who many of its customers are. The fact is, many businesses suffer from this same problem. The solution: implement a master data management (MDM) system that uses an accurate data matching process.

bi data warehouse info  Data Management and Accurate Data Matching Have you ever received a call from your existing long-distance phone company asking you to switch to its service and wondered why they are calling? Chances are the integrity of its data is so poor that the company has no idea who many of its customers are. The fact is, many businesses suffer from this same problem. The solution: implement a master data management (MDM) system that uses an accurate data matching process. 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. "Huge staff reductions", "quick and easy implementation", and "fast and big" returns on investment are common promises. These combined with the enticing "bells and whistles" of a system can ultimately turn an eager customer into a patient suffering from confusion or at the very least disorientation. Knowing the stories behind the myths and determining what your warehouse needs are can lead to a profitable investment.

bi data warehouse info  that is built without bias. Only then can you begin evaluating system. In other words, you have to know what your current needs are and what your future requirements will be before beginning your search, not just what bells and whistles are available. This is Part One of a two-part series. Part One will describe the popular myths encountered when looking for a warehouse management system. Part Two will describe how to assess your current warehouse processes to find the best system that meets your needs. 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 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 defined and their benefits are explained.

bi data warehouse info  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 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 Read More

The Evolution of a Real-time Data Warehouse


Real-time data warehouses are common in some organizations. This article reviews the basic concepts of a real-time data warehouse and it will help you determine if your organization needs this type of IT solution.

bi data warehouse info  data warehouse solution for BI. This product''s features include data compression, partitioned tables, parallelism capabilities, and change data capture. The scalable integration services tools enable fast ETL operations and connectivity to non-SQL server data sources. Netezza Netezza Data Warehouse Appliances is a combination of software and hardware tools designed for analytical processing of very large amounts of data. Netezza''s architecture is massively parallel processing (MPP)-based and uses a Read More

Developing a Universal Approach to Cleansing Customer and Product Data


Data quality has always been an important issue for companies, and today it’s even more so. But are you up-to-date on current industry problems concerning data quality? Do you know how to address quality problems with customer, product, and other types of corporate data? Discover how data cleansing tools help improve data constancy and accuracy, and find out why you need an enterprise-wide approach to data management.

bi data warehouse info  Data Cleanse Summary About BI Research About Business Objects Data Quality: What’s The Problem? Data quality has always been an important issue for companies, and this is even more the case today. Business and legislative pressures coupled with the explosion in the amount of data created by organizations is leading to increased corporate attention on improving the quality and accuracy of business data. This paper reviews current industry problems concerning data quality, and takes a detailed look at Read More

Scalable Data Quality: A Seven-step Plan for Any Size Organization


Every record that fails to meet standards of quality can lead to lost revenue or unnecessary costs. A well-executed data quality initiative isn’t difficult, but it is crucial to getting maximum value out of your data. In small companies, for which every sales lead, order, or potential customer is valuable, poor data quality isn’t an option—implementing a thorough data quality solution is key to your success. Find out how.

bi data warehouse info  data is used for billing, incorrect addresses cannot only lead to unnecessary expenses, but also delay collections Points of Entry Bad address data has multiple points of entry in any organization. If an organization collects sales leads over the web, the customer can either mistype their address or deliberately provide false information. Even if employees of the organization collect the addresses, the possibility for errors still exists. If an organization buys address lists from a vendor or other Read More