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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 perspectives data


Managing Information in the Enterprise: Perspectives for Business Leaders
Turning piles of data into timely, actionable information dominates business and IT agendas. This new focus means companies must think strategically about

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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

CRM for Financial and Insurance Markets

Customer relationship management (CRM) focuses on the retention of customers by collecting data from all customer interactions with a company from all access points (by phone, mail, or Web, or in the field). The company can then use this data for specific business purposes by taking a customer-centric rather than a product-centric approach. CRM 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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Industry Perspectives: Strategic Workforce Management in the Automotive Industry


There’s a buzz in the automotive industry around the concept of “strategic workforce management”—getting the right people, for the right job, at the right time, to improve overall business results. Strategic workforce management goes beyond the traditional role of human resources: it’s a strategic initiative and competitive weapon to help today’s automotive companies drive corporate goals and objectives.

analysis services perspectives data  must conduct a thorough analysis of its existing business and formulate a strategic plan that includes the following key elements: Realtime Visibility. Ensuring visibility at all levels of the organization is critical to gain traction for creating a consistent enterprise workforce strategy. Real-time visibility into talent, inancial, compliance, and operational metrics can lead to better decision making and new insight into the true operational nature and function of the single largest expense. Central Read More

Best Practices for a Data Warehouse on Oracle Database 11g


Companies are recognizing the value of an enterprise data warehouse (EDW) that provides a single 360-degree view of the business. But to ensure that your EDW performs and scales well, you need to get three things right: the hardware configuration, the data model, and the data loading process. Learn how designing these three things correctly can help you scale your EDW without constantly tuning or tweaking the system.

analysis services perspectives data  tasks ranging from predictive analysis to near real-time strategic and tactical decision support throughout the organization. In order to ensuring the EDW will get the optimal performance and will scale as your data set grows you need to get three fundamental things correct, the hardware configuration, the data model and the data loading process. By designing these three corner stones correctly you can seamlessly scale out your EDW without having to constantly tune or tweak the system. INTRODUCTION Read More

Yet Another Branding Debacle (This Time, It's ERP for Services)


Organizations providing billable services to their clients can benefit from an enterprise resource planning solution. But what makes ERP for services different from solutions known as product portfolio management for professional services automation? And which is best for your organization?

analysis services perspectives data  needs, including budgeting, financial analysis, reporting, compliance, and general ledgers. Customer relationship management (CRM) solutions can include opportunity management, enterprise marketing automation (EMA), campaign management, partner relationship management, customer service and support, customer accounts, sales management, and sales analytics, to help meet the needs of transactional services organizations. Human resources (HR) functionalities deal with the people and staffing needs of both Read More

Ask the Experts: Approaches to Data Mining ERP


From one of our readers comes this question: I am a student of IT Management; I have an ERP course and I am supposed to write an article to review new aspects of ERP systems. I’ve decided to explore the reasons for using data mining techniques in ERP systems—and to look at different modules to which these techniques have been applied. I am going to prepare a framework to determine

analysis services perspectives data  fraud detection quality defect analysis supply chain management (SCM) focused hiring These are just a few examples of data mining, yet there are other ways in which data mining applications can prove useful to organizations. The value that data mining and business intelligence represent to an organization is the ability to identify trends and shifts in demand patterns. This can help organizations reduce costs and benefit from increased sales revenue opportunities. JEFF SPITZER Here’s my take on data Read More

How the Right Mix of Static Analysis and Dynamic Analysis Technologies Can Strengthen Application Security


In searching for tools to implement an effective application-security strategy, managers have a choice between two technological approaches: dynamic analysis and static analysis. Available in a variety of freeware and commercial automated tools, both approaches promise comprehensive detection of security vulnerabilities. But a truly effective strategy may require a mix of both.

analysis services perspectives data  Right Mix of Static Analysis and Dynamic Analysis Technologies Can Strengthen Application Security In searching for tools to implement an effective application-security strategy, managers have a choice between two technological approaches: dynamic analysis and static analysis. Available in a variety of freeware and commercial automated tools, both approaches promise comprehensive detection of security vulnerabilities. But a truly effective strategy may require a mix of both. Read More

Operationalizing the Buzz: Big Data 2013


The world of Big Data is maturing at a dramatic pace and supporting many of the project activities, information users and financial sponsors that were once the domain of traditional structured data management projects. Research conducted by Enterprise Management Associates (EMA) and 9sight Consulting makes a clear case for the maturation of Big Data as a critical approach for innovative companies. The survey went beyond simple questions of strategy, adoption, and use to explore why and how companies are utilizing Big Data. Download the report and get all the results.

analysis services perspectives data  Enterprise Management Associates, EMA, 9sight Consulting, big data, hybrid data ecosystem, real-time data, big data buzz, big data requirements, big data challenges, big data architecture Read More

Enterprise Data Management: Migration without Migraines


Moving an organization’s critical data from a legacy system promises numerous benefits, but only if the migration is handled correctly. In practice, it takes an understanding of the entire ERP data lifecycle combined with industry-specific experience, knowledge, and skills to drive the process through the required steps accurately, efficiently, and in the right order. Read this white paper to learn more.

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Informatica PowerCenter 5 Enables Enterprise Data Integration


Informatica Corporation’s Informatica PowerCenter 5 is a platform for integrating data to be deployed in e-Business applications, analytic applications and data warehouses, including a wide range of data sources, from enterprise resource planning (ERP) systems such as SAP R/3 and PeopleSoft, to web logs and Siebel applications. Market validation of its offerings is shown in a record Q4 of 2000, with a 150% increase in revenue over the previous year.

analysis services perspectives data  is to provide fast analysis of vast amounts of data, such as that generated by clickstreams and XML inputs. The emphasis is on the fast, since generating useful aggregated data for analytical analysis in a reasonable (read really short) amount of time requires tremendous system resources and well-designed software (including caching and parallel processing capabilities). The vendor that provides the most painless solution to this huge problem will realize greatly increased market share in the e-Business Read More

Data Quality Strategy: A Step-by-Step Approach


To realize the benefits of their investments in enterprise computing systems, organizations must have a detailed understanding of the quality of their data—how to clean it and how to keep it clean. Those organizations that approach this issue strategically will be successful. But what goes into a data quality strategy? This paper from Business Objects, an SAP company, explores the strategy in the context of data quality.

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Revamping Data Management: Big Data Proves Catalyst to Updating Data Management Strategies


Data management plays a key role in helping organizations make strategic sense of their data and how to best use it. Organizations with data management maturity have ushered in clear data goals, but many obstacles persist. This white paper reports survey results that help to establish a clear picture of how organizations are capitalizing on data management today, as well as what challenges and opportunities remain.

analysis services perspectives data  data management, data management strategy, managing complex data sources, big data, data management adoption, big data management Read More

Data Evolution: Why a Comprehensive Data Management Platform Supersedes the Data Integration Toolbox


Today’s organizations have incredible amounts of information to be managed, and in many cases it is quickly spiraling out of control. To address the emerging issues around managing, governing, and using data, organizations have been acquiring quite a toolbox of data integration tools and technologies. One of the core drivers for these tools and technologies has been the ever-evolving world of the data warehouse.

analysis services perspectives data  data warehouse, data integration tools, data integration toolbox, big data management, data exploration tools, master data management, data management platform Read More

Data Center Projects: Project Management


In data center design projects, flawed management frequently leads to delays, expense, and frustration. Effective project management requires well-defined responsibilities for every manager, tight coordination among suppliers, well-defined procedures for managing change, and consistent terminology. Learn how enforcing these requirements can help your company achieve an efficient process with a predictable outcome.

analysis services perspectives data  his thesis on the analysis of a 200MW power supply for a tokamak fusion reactor. From 1979 to 1981, he worked at MIT Lincoln Laboratories on flywheel energy storage systems and solar electric power systems. Suzanne Niles is a Senior Research Analyst with the APC Data Center Science Center, where she develops white papers and presentations on technical and strategic topics that support the APC mission. She studied mathematics at Wellesley College before receiving her Bachelor's degree in computer science Read More

Data Storage in the Cloud-Can you Afford Not To?


Storing data in the cloud using Riverbed Technology’s Whitewater cloud storage gateway overcomes a serious challenge for IT departments: how to manage the vast, and ever-growing, amount of data that must be protected. This paper makes the business case for cloud storage, outlining where capital and operational costs can be eliminated or avoided by using the cloud for backup and archive storage.

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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.

analysis services perspectives data  big data, predictive analytics, real-time analytics, embedded analytics, business analytics, IBM SPSS solutions, IBM SPSS predictive analytics tools, SPSS predictive software, predictive software Read More