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Software Functionality Revealed in Detail
We’ve opened the hood on every major category of enterprise software. Learn about thousands of features and functions, and how enterprise software really works.
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 analysis services web data


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

analysis services web data  Analytics in Big Data Analysis In a previous article , I discussed big data and the need for a big data solution to 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

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Software Functionality Revealed in Detail

We’ve opened the hood on every major category of enterprise software. Learn about thousands of features and functions, and how enterprise software really works.

Get free sample report
Compare Software Solutions

Visit the TEC store to compare leading software by functionality, so that you can make accurate and informed software purchasing decisions.

Compare Now

Customer Relationship Management (CRM)

Customer relationship management (CRM) focuses on the retention of customers by collecting all data from every interaction, every customer makes with a company from all access points whether they are phone, mail, Web, or field. The company can then use this data for specific business purposes, marketing, service, support or sales while concentrating on a customer centric approach rather than a product centric. Customer relationship management defines methodologies, strategies, software, and other web-based capabilities that help an enterprise organize and manage customer relationships. Customer relationship management applications are front-end tools designed to facilitate the capture, consolidation, analysis, and enterprise-wide dissemination of data from existing and potential customers. This process occurs throughout the marketing, sales, and service stages, with the objective of better understanding one’s customers and anticipating their interest in an enterprise’s products or services. 

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Documents related to » analysis services web data

Architecture Evolution: Service-oriented Architecture versus Web Services


Collaboration and interoperability are critical where multiple business units reside under one larger corporation, or where there is a requirement to integrate the system into a disparate system when a business-to-business or business-to-consumer extension is part of the business model.

analysis services web data  —see Server Platform Situational Analysis: IBM AS/400 ), there has long been an informal demarcation between Unix-based enterprise systems for larger enterprise and Microsoft Windows -based systems for the lower end of the market. With the advent of application servers, and the vendors' and users' forays into Web services and SOA-enablement, this opposition has been transformed into Java 2 Enterprise Edition (J2EE)-based application servers versus Microsoft .NET (see Understand J2EE and .NET Read More

Infrastructure Management Services: Outsourcing, IT Infrastructure Competitor Analysis Report


The IT Infrastructure Outsourcing knowledge base focuses on the selection of companies who provide outsource services in the areas of information technology (IT) infrastructure. The typical types of activities that these providers perform include data center operations; network operations; backup/recovery services, data storage management services; system administration services; end user support of desktop PCs, laptops, and handheld devices; web site, or application hosting, etc.

analysis services web data  Outsourcing, IT Infrastructure Competitor Analysis Report The IT Infrastructure Outsourcing knowledge base focuses on the selection of companies who provide outsource services in the areas of information technology (IT) infrastructure. The typical types of activities that these providers perform include data center operations; network operations; backup/recovery services, data storage management services; system administration services; end user support of desktop PCs, laptops, and handheld devices; web Read More

Oracle Further Orchestrates Its SOA Forays Part Four: SOA and Web Services


The battle for the dominance in service-oriented architecture (SOA) and Web services has nonetheless so far largely been a war of words without the clear winner yet (and not any time soon), as many underlying Internet-based standards have emerged only recently.

analysis services web data  BPM typically entails process analysis and modeling, using a graphical process designer targeted for business analysts, definition, execution, monitoring process performance, its degree of completion and out-of-bounds conditions, and administration, for process termination and load balancing or rerouting, all including support for both human (manual) and application-level (automatic) interaction. As the process flow is executed through a runtime execution engine, various enterprise applications (legacy, Read More

Six Steps to Manage Data Quality with SQL Server Integration Services


Without data that is reliable, accurate, and updated, organizations can’t confidently distribute that data across the enterprise, leading to bad business decisions. Faulty data also hinders the successful integration of data from a variety of data sources. But with a sound data quality methodology in place, you can integrate data while improving its quality and facilitate a master data management application—at low cost.

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New Data Protection Strategies


One of the greatest challenges facing organizations is the protection of corporate data. The issues complicating data protection are compounded by increased demand for data capacity and higher service levels. Often these demands are coupled with regulatory requirements and a shifting business environment. Learn about data protection strategies that can help organizations meet these demands while maintaining flat budgets.

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Increasing Sales and Reducing Costs across the Supply Chain-Focusing on Data Quality and Master Data Management


Nearly half of all US companies have serious data quality issues. The problem is that most are not thinking about their business data as being valuable. But in reality data has become—in some cases—just as valuable as inventory. The solution to most organizational data challenges today is to combine a strong data quality program with a master data management (MDM) program, helping businesses leverage data as an asset.

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Linked Enterprise Data: Data at the heart of the company


The data silos of today's business information systems (IS) applications, and the pressure from the current economic climate, globalization, and the Internet make it critical for companies to learn how to manage and extract value from their data. Linked enterprise data (LED) combines the benefits of business intelligence (BI), master data management (MDM), service-oriented architecture (SOA), and search engines to create links among existing data, break down data walls, provide an open, secure, and long-term technological environment, and reduce complexity—read this white paper to find out how.

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The Dollars and Sense of Web Identity Management: How SaaS Cuts the High Costs of Web Access and SSO by 75 Percent


IT infrastructure software has a well-established track record for experiencing frequent cost overruns and missed deadlines. Expensive software and extensive customization are the key contributors to increasing identity management costs to four or five times more than the price of the initial identity software license. Learn how software as a service (SaaS) can reduce the cost and complexity of IT infrastructure.

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Four Critical Success Factors to Cleansing Data


Quality data in the supply chain is essential in when information is automated and shared with internal and external customers. Dirty data is a huge impediment to businesses. In this article, learn about the four critical success factors to clean data: 1- scope, 2- team, 3- process, and 4- technology.

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Big Data, Little Data, and Everything in Between—IBM SPSS Solutions Help You Bring Analytics to Everyone


Regardless of the type or scale of business data your users need to harness and analyze, they need a straightforward, visual solution that is easy to use on the front end and highly scalable on the back end. Fortunately, IBM SPSS solutions provide just such an ecosystem that can make different kinds of data stores—from Hadoop to those proverbial spreadsheets—useful sources of business insight and decision support.

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Monetizing Services in the New Hyperconnected World: Shifting Business Models from Products to Services


In industries as diverse as high tech, financial services, and telecommunications, companies such as yours are rapidly changing their business models and launching new hyperconnected services via the Internet and wireless networks. This white paper examines the challenges of monetizing these new services in today’s economy—and proposes solutions that will help you achieve your goals.

analysis services web data  Services in the New Hyperconnected World: Shifting Business Models from Products to Services In industries as diverse as high tech, financial services, and telecommunications, companies such as yours are rapidly changing their business models and launching new hyperconnected services via the Internet and wireless networks. This white paper examines the challenges of monetizing these new services in today’s economy—and proposes solutions that will help you achieve your goals. 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.

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Addressing the Complexities of Remote Data Protection


As companies expand operations into new markets, the percentage of total corporate data in remote offices is increasing. Remote offices have unique backup and recovery requirements in order to support a wide range of applications, and to protect against a wide range of risk factors. Discover solutions that help organizations protect remote data and offer extensive data protection and recovery solutions for remote offices.

analysis services web data  the Complexities of Remote Data Protection Because data protection is a concern for organizations of all sizes, IBM offers remote data protection for the enterprise, as well. This high performance and easy-to-use service delivers consistent and cost-effective data protection without increased network investment. Source: IBM Resources Related to Addressing the Complexities of Remote Data Protection : Continuous Data Protection (CDP) (Wikipedia) Addressing the Complexities of Remote Data Read More