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Documents related to » valuable data integration bi


The Truth about Data Mining
It is now imperative that businesses be prudent. With rising volumes of data, traditional analytical techniques may not be able to discover valuable data

valuable data integration bi  Truth about Data Mining A business intelligence (BI) implementation can be considered two-tiered. The first tier comprises standard reporting, ad hoc reporting, multidimensional analysis, dashboards, scorecards, and alerts. The second tier is more commonly found in organizations that have successfully built a mature first tier. Advanced data analysis through predictive modeling and forecasting defines this tier—in other words, data mining. Data mining has a significantly broad reach and application. Read More...
SAP BusinessObjects Edge BI for Business Intelligence Certification Report
SAP''s business intelligence solution, SAP BusinessObjects Edge BI, is now TEC Certified. The certification seal is a valuable indicator for organizations who

valuable data integration bi  certification seal is a valuable indicator for organizations that rely on the integrity of TEC''s research services for assistance with their software selection projects. Organizations looking for a solution can be confident that they''re comparing the product on an apples to apples basis with other, similar products. SAP BusinessObjects Edge BI Market Data Summary SAP BusinessObjects is easily one of the historical leaders in the BI space. The SAP BusinessObjects portfolio is perhaps one of the most 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

valuable data integration bi  order to be considered valuable data. In a real-time data warehouse, the ETL batch mechanism based on a table or file transfer is replaced with a design in which data flows from very different yet synchronized data sources into the data warehouse. Data will be considered valuable if it flows at the right speed and not necessarily at real-time speed. This data cycle will depend on the analytical purpose the data is used for. Real-time data is an essential part of the analytical process, but historical Read More...
Improving Business Integration for a Competitive Advantage in the Mid-market
Mid-market companies can level the competitive playing field by using business integration technology. Integrated processes reduce costs by decreasing data

valuable data integration bi  and more of their valuable time manually keying in redundant data. Large, well-established integration software providers and systems integrators overcome these challenges by using enterprise integration software and architectures combined with highly-skilled development and implementation teams. Business processes run more efficiently; data is more reliable; customers are happier… …Except for one small issue: the cost, time and complexity of applying large-enterprise technology to midsized Read More...
Role of In-memory Analytics in Big Data Analysis
Organizations today need to handle and manage increasingly large volumes of data in various formats and coming from disparate sources. Though the benefits to be

valuable data integration bi  handle, manage, and derive valuable insight from large volumes of data in various formats and coming from disparate sources. Here I discuss the role that in-memory technologies plays in big data analysis and the potential of this technology to change the business intelligence (BI) landscape and the industry technology space. But first we need to understand the basics.   A Basic Framework What does it mean to have an in-memory technology in place? It means that all the data in a computer is stored within 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

valuable data integration bi  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 Read More...
Considerations for Owning versus Outsourcing Data Center Physical Infrastructure
When faced with the decision of upgrading an existing data center, building new, or leasing space in a retail colocation data center, there are both

valuable data integration bi  for Owning versus Outsourcing Data Center Physical Infrastructure When faced with the decision of upgrading an existing data center, building new, or leasing space in a retail colocation data center, there are both quantitative and qualitative differences to consider. The 10-year TCO may favor upgrading or building over outsourcing; however, this paper demonstrates that the economics may be overwhelmed by a business’ sensitivity to cash flow, cash crossover point, deployment timeframe, data Read More...
2013 Big Data Opportunities Survey
While big companies such as Google, Facebook, eBay, and Yahoo! were the first to harness the analytic power of big data, organizations of all sizes and industry

valuable data integration bi  Big Data Opportunities Survey While big companies such as Google, Facebook, eBay, and Yahoo! were the first to harness the analytic power of big data, organizations of all sizes and industry groups are now leveraging big data. A survey of 304 data managers and professionals was conducted by Unisphere Research in April 2013 to assess the enterprise big data landscape, the types of big data initiatives being invested in by companies today, and big data challenges. Read this report for survey responses Read More...
A Solution to Data Capture and Data Processing Challenges
Organizations are relying more and more on customer information to drive business processes. You probably spend a lot of time trying to make sure you get the

valuable data integration bi  Solution to Data Capture and Data Processing Challenges Organizations are relying more and more on customer information to drive business processes. You probably spend a lot of time trying to make sure you get the right information to the right people at the right time—but is your data capture process as efficient as it could be? Learn about the issues surrounding data capture and data processing, and about a solution designed to help you address specific processing problems. Read More...
PeopleSoft, Lawson To Resell Integration Tools
Two ERP vendors recently signed agreements to resell integration software from Enterprise Applications Integration vendors.

valuable data integration bi  Lawson To Resell Integration Tools PeopleSoft, Lawson To Resell Integration Tools S. McVey - January 14th, 2000 Event Summary Two ERP vendors recently signed agreements to resell integration software from Enterprise Applications Integration vendors. PeopleSoft has agreed to standardize on New Era of Network, Inc.''s (NEON) data migration product as the preferred integration tool and deploy the product to customers in its 30 implementation centers throughout North America. PeopleSoft will also Read More...
Out-of-the-box Integration
Is it is possible for small and medium businesses (SMBs) to achieve levels of application integration historically reserved for large enterprises with deep IT

valuable data integration bi  of-the-box Integration Is it is possible for small and medium businesses (SMBs) to achieve levels of application integration historically reserved for large enterprises with deep IT pockets? Duplication of data can be eliminated with the right electronic document management system (EDMS). Discover how an EDMS can be integrated with other core business applications to replace paper files and documents, driving efficiency and managing IT costs. Read More...
Managing Small Data Centers: A Short Guide to Running Secure and Resilient Data Centers for Mid-sized Businesses
To keep your growing business competitive, your data center must be secure, protected against disaster, and available 24 hours a day, 7 days a week. But if

valuable data integration bi  Small Data Centers: A Short Guide to Running Secure and Resilient Data Centers for Mid-sized Businesses To keep your growing business competitive, your data center must be secure, protected against disaster, and available 24 hours a day, 7 days a week. But if managing IT is not your core competence, what are your options? A managed service provider (MSP) can help. Learn about the benefits of outsourcing data center management, and make sure your crucial business applications are always available 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

valuable data integration bi  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...
Demystifying Data Science as a Service (DaaS)
With advancements in technology, data science capability and competence is becoming a minimum entry requirement in areas which have not traditionally been

valuable data integration bi  Data Science as a Service (DaaS) With advancements in technology, data science capability and competence is becoming a minimum entry requirement in areas which have not traditionally been thought of as data-focused industries. As more companies perceive the significance of real-time data capture and analysis, data as a service will become the next big thing. India is now the third largest internet user after China and the U.S., and the Indian economy has been growing rapidly. Read this white 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

valuable data integration 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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