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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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Visit the TEC store to compare leading software solutions by funtionality, so that you can make accurate and informed software purchasing decisions.
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 complexity data mart consolidation metrics


A Road Map to Data Migration Success
Many significant business initiatives and large IT projects depend upon a successful data migration. But when migrated data is transformed for new uses, project

complexity data mart consolidation metrics  sources will increase your complexity exponentially. Consider your approach to rationalizing the data across these sources. Also what is your cutover strategy? And how will these sources impact your schedule? If you are de-duping or consolidating data across sources, consider what your record-matching requirements are—and be certain to evaluate your data integration software with this in mind. Finally, map all of your data integration requirements and data quality needs against an off-the-shelf

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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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Documents related to » complexity data mart consolidation metrics

Best-of-breed Approach to Finance and Accounting


CODA's savvy accounting and financial offerings include budgeting, forecasting, scorecards, and tools that use Microsoft Excel spreadsheets collaboratively and securely. However, CODA must defend its narrow specialist and best-of-breed approach against larger-scale integrated enterprise system offerings.

complexity data mart consolidation metrics  business models. This adds complexity to the task of gathering information to close the financial period, and makes it all but impossible to fully automate using conventional systems. Ironically, the aim is to ensure that accountants spend more time adding value to management and performance information, and less time chasing data. The use of technology to render the process less painful, to enable people to collaborate, to progress tasks, and to automate the final postings may be of help in delivering Read More

Why Midsize Companies Need Business Intelligence Solutions in This Uncertain Economy


In today’s economy, executives face declining revenues and tough cost-cutting decisions. However, cost reductions alone are not enough to survive, especially for midsize companies, which often lack the resources needed to sustain a market downturn. Yet midsize companies can be much more agile—if they have the right information. Discover how you can improve performance with a business intelligence (BI) solution.

complexity data mart consolidation metrics  reports, while hiding the complexity of accessing multi-sourced information. Transparent Access to Data and Business Applications Worldwide, many organizations continue to use Microsoft Excel to analyze their business and Microsoft Word to create documents. Thus, they want to ensure that their BI solution can bring the most current information from their transactional system into Microsoft Office applications on their laptops and desktops ' and do it transparently. Such functionality can significantly Read More

The Challenge to Achieve Perfect Order Management


Superior order management can provide you with a competitive edge across the board. To move closer to order perfection and a truly loyal customer base, you must cost-effectively eliminate the issues preventing on-time, accurate order fulfillment. This involves every process, including planning and forecasting, acquiring and creating accurate orders and contracts, handling order changes, and resolving fulfillment and post-delivery problems.

complexity data mart consolidation metrics  of the increasing product complexity and the demand for customization, product and pricing configuring must be integrated into the lead-to-order process across all channels. For instance, in big-ticket discrete manufacturing arenas such as industrial machinery and complex testing equipment, it often costs manufacturers tens to hundreds of thousands of dollars to prepare a proposal. Companies that manually prepare complex configurations reported that at least half of their orders have errors, and for the Read More

How to Choose a Hosted CRM Application for SMBs


While virtually all hosted customer relationship management (CRM) applications support sales force automation, marketing campaign management, and customer service, providing front-to-back-office integration has become a clear differentiator for small to medium businesses (SMBs). Read this white paper—which includes a handy table of evaluation criteria—to find out how to select the right hosted CRM software for you.

complexity data mart consolidation metrics  Salesforce has created unnecessary complexity and a certain amount of instability in its go-to-market strategy. For example, in providing integration between Salesforce.com and SAP’s ERP applications through AppExchange partners—Above All Software, Bluewolf, Bridgewerx, CastIron Systems, Integration Technologies and Pervasive Software—SFDC maintains it will provide business value. However, not all this business value will necessarily benefit end-users. Our assessment is that this will: Allow Read More

Data Warehousing in the Big Data Era: Are You BIReady?


Netherlands-based BIReady automates the process of designing, deploying, and maintaining a data warehousing solution, allowing the optimization of all necessary BI and analytics tasks. Read this TEC product note from TEC senior BI and data management analyst Jorge Garcia to learn more about how BIReady is meeting its goal of helping companies become "BI ready."

complexity data mart consolidation metrics  Warehousing in the Big Data Era: Are You BIReady? Netherlands-based BIReady automates the process of designing, deploying, and maintaining a data warehousing solution, allowing the optimization of all necessary BI and analytics tasks. Read this TEC product note from TEC senior BI and data management analyst Jorge Garcia to learn more about how BIReady is meeting its goal of helping companies become BI ready. 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 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 paper to find out more about how data SaaS is set to become a vital part of business intelligence and analytics, and how India will play a role in this trend.

complexity data mart consolidation metrics  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

Understanding the PCI Data Security Standard


The payment card industry data security standard (PCI DSS) defines a comprehensive set of requirements to enhance and enforce payment account data security in a proactive rather than passive way. These include security management, policies, procedures, network architectures, software design, and other protective measures. Get a better understanding of the PCC DSS and learn the costs and benefits of compliance.

complexity data mart consolidation metrics  the PCI Data Security Standard MessageLabs Hosted Web Security and Content Filtering service operates at the Internet level, intercepting viruses, and spyware. Source : MessageLabs | Now part of Symantec Resources Related to Understanding the PCI Data Security Standard : Payment Card Industry Data Security Standard (PCI DSS) (Wikipedia) Understanding the PCI Data Security Standard Data Security is also known as : Data Security Architecture , Data Security Articles , Data Security Audit , Read More

Data Quality Basics


Bad data threatens the usefulness of the information you have about your customers. Poor data quality undermines customer communication and whittles away at profit margins. It can also create useless information in the form of inaccurate reports and market analyses. As companies come to rely more and more on their automated systems, data quality becomes an increasingly serious business issue.

complexity data mart consolidation metrics  Quality Basics Bad data threatens the usefulness of the information you have about your customers. Poor data quality undermines customer communication and whittles away at profit margins. It can also create useless information in the form of inaccurate reports and market analyses. As companies come to rely more and more on their automated systems, data quality becomes an increasingly serious business issue. 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.

complexity data mart consolidation metrics  Design phase. The size, complexity, and criticality of the project will determine when project management needs to become a structured, dedicated role. Regardless of how and when project management is configured, there will always be some project management activity in the customer organization from the very beginning, if only to make the configuration decisions and possibly negotiate contracts for outsourced management. This ongoing management role is shown as customer-side project management in Read More

The New Virtual Data Centre


Old-style, one application per physical server data centers are not only nearing the end of their useful lives, but are also becoming barriers to a business’ future success. Virtualization has come to the foreground, yet it also creates headaches for data center and facilities managers. Read about aspects of creating a strategy for a flexible and effective data center aimed to carry your business forward.

complexity data mart consolidation metrics  New Virtual Data Centre Old-style, one application per physical server data centers are not only nearing the end of their useful lives, but are also becoming barriers to a business’ future success. Virtualization has come to the foreground, yet it also creates headaches for data center and facilities managers. Read about aspects of creating a strategy for a flexible and effective data center aimed to carry your business forward. 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 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 information technology (IT). Companies that recognize this reality—and that act on it in a technologically, operationally, and economically optimized way—will gain sustainable competitive advantages.

complexity data mart consolidation metrics  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

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 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 and a discussion of the results.

complexity data mart consolidation metrics  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

The Value of Big Data


As the use of big data grows, the need for data management will also grow. Many organizations already struggle to manage existing data. Big data adds complexity, which will only increase the challenge. This white paper looks at what big data is, the value of big data, and new data management capabilities and processes, required to capture the promised long-term value.

complexity data mart consolidation metrics  data. Big data adds complexity, which will only increase the challenge. This white paper looks at what big data is, the value of big data, and new data management capabilities and processes, required to capture the promised long-term value. Read More

Big Data Comes of Age: Shifting to a Real-time Data Platform


New data sources are fueling innovation while stretching the limitations of traditional data management strategies and structures. Data warehouses are giving way to purpose-built platforms more capable of meeting the real-time needs of more demanding end users and the opportunities presented by big data. Read this white paper to learn more about the significant strategy shifts underway to transform traditional data ecosystems by creating a unified view of the data terrain necessary to support big data and the real-time needs of innovative companies.

complexity data mart consolidation metrics  Data Comes of Age: Shifting to a Real-time Data Platform New data sources are fueling innovation while stretching the limitations of traditional data management strategies and structures. Data warehouses are giving way to purpose-built platforms more capable of meeting the real-time needs of more demanding end users and the opportunities presented by big data. Read this white paper to learn more about the significant strategy shifts underway to transform traditional data ecosystems by creating a Read More