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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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 hospital defined creation of a customized initial assessment that includes any demographic or clinical data

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

ERP for the Oil and Gas Industry (Upstream)

The model of ERP systems for the upstream oil and gas sector addresses the particularly specialized business model of this industry. It is common practice for companies, individuals, and government agencies to form partnerships to explore, develop, and share production of oil wells. More often than not, this is a short-term alliance rather than a long-term partnership, and business structuring must therefore be flexible at initial set-up and throughout the lifespan of the venture. This model of ERP systems includes criteria for financials, human resources, production data capture and reporting, maintenance management, and supply chain management (SCM) functionality. 

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Providing CFOs Unprecedented Views of Hospital-Wide Data-Converged Financial, Clinical, and Operational Information


Chief financial officers (CFOs) at large hospitals must process large amounts of information to make strategic decisions. Solutions that intelligently aggregate and summarize clinical, operational, and financial data give hospital CFOs the ability to quickly identify key indicators and root causes of issues. This paper explores the decision-making challenges faced by CFOs and examines the many benefits of such solutions.

hospital defined creation of a customized initial assessment that includes any demographic or clinical data  and financial data give hospital CFOs the ability to quickly identify key indicators and root causes of issues. This paper explores the decision-making challenges faced by CFOs and examines the many benefits of such solutions. Read More

Data Quality: A Survival Guide for Marketing


Even with the finest marketing organizations, the success of marketing comes down to the data. Ensuring data quality can be a significant challenge, particularly when you have thousands or even millions of prospect records in your CRM system and you are trying to target the right prospect. Data quality, data integration, and other functions of enterprise information management (EIM) are crucial to this endeavor. Read more.

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Joint SAP-MolecularHealth Project to Improve Cancer Treatment


During the SAPPHIRE Now and SAP TechEd conference in Madrid, it was announced that MolecularHealth, a provider of clinico-molecular informatics, has signed a partnership with SAP to improve oncologists' efforts in enhancing the quality of treatment for cancer patients. By improving the decision-making process, oncologists will be able to provide better personalized treatments. The

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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.

hospital defined creation of a customized initial assessment that includes any demographic or clinical data  data quality jobs,data quality solution,data quality methodology,data quality strategy,address data quality,data quality manager,data quality audit,data quality measurement,what is data quality,data quality in data warehouse,data quality dashboard,data quality program,clinical data quality,improving data quality,data quality measures Read More

Attaining Real Time, On-demand Information Data: Contemporary Business Intelligence Tools


Demand for instant access to dispersed information is being met by vendors offering enterprise business intelligence tools and suites. Portlet standardization, enterprise information integration, and corporate performance management are among the proposed solutions, but do they really deliver real time information?

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Unified Data Management: A Collaboration of Data Disciplines and Business Strategies


In most organizations today, data are managed in isolated silos by independent teams using various data management tools for data quality, integration, governance, and so on. In response to this situation, some organizations are adopting unified data management (UDM), a practice that holistically coordinates teams and integrates tools. This report can help your organization plan and execute effective UDM efforts.

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Data Pro Accounting Software


Data Pro Accounting Software, Inc., privately owned, is based in St. Petersburg, Florida and was originally incorporated in June of 1985. The goal of the corporation has always been to develop and market a full line of accounting software products for a wide range of market segments, on a broad spectrum of operating systems environments such as DOS, Windows and UNIX.

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The Operational Data Lake: Your On Ramp to Big Data


Companies recognize the need to integrate big data into their real-time analytics and operations, but this poses a lot of technical and resource challenges. Meanwhile, those organizations that have operational data stores (ODSs) in place find that, while useful, they are expensive to scale. The ODS gives real-time visibility into operational data. While more cost-effective than a data warehouse, it uses outdated scaling technology, and performance upgrades require very specialized hardware. Plus, ODSs just can't handle the volume of data that has become a matter of fact for businesses today.

This white paper discusses the concept of the operational data lake, and its potential as an on-ramp to big data by upgrading outdated ODSs. Companies that are building a use case for big data, or those considering an upgrade to their ODS, may benefit from this stepping stone. With a Hadoop relational database management system (RDBMS), companies can expand their big data practices at their own pace.

hospital defined creation of a customized initial assessment that includes any demographic or clinical data  operational data lake, Hadoop RDBMS, operational data store, transactional database, transaction processing, big data repository 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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Wipro Point of View: Changing Nature of the Wealth Management Industry


The slump in the wealth management industry has its roots in the financial crisis in America and Europe. This has led to high-net-worth individuals (HNI) getting increasingly attracted to low risk, low management investments. Dr. Ashok Hegde, Global Head of Financial Services, Business Analyst Practice, Wipro, shares his expertise on the current challenges faced by and opportunities available to wealth managers. Read more.

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Data Visualization: When Data Speaks Business


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hospital defined creation of a customized initial assessment that includes any demographic or clinical data  data visualization, IBM Cognos Business Intelligence, business intelligence, data delivery, data visualization best practices Read More

Roadmap to a Successful Cloud Implementation: 5 Steps to Consider for Ensuring a Successful Implementation


If you are a growing midsize organization, chances are you are or will soon outgrow your entry-level accounting system. More and more companies are turning to cloud enterprise resource planning (ERP) systems—namely software-as-a-service (SaaS)—to modernize their current systems and lay the foundation for future growth.

SaaS ERP offers and intuitive user experience, modern functionality, and the ability to conduct business anywhere via mobile devices. Cloud ERP also offers more favorable economics with subscription-based licensing and minimal need for IT resources to support it. Reduced implementation times also offer faster time-to-value.

This white paper looks at advantages of cloud systems and some factors to keep in mind. While SaaS ERP systems provide faster implementation times over on-premise solutions, you still need to carefully manage your implementation project to ensure current and ongoing success.

hospital defined creation of a customized initial assessment that includes any demographic or clinical data  cloud implementation, cloud implementation strategies, SaaS strategy, cloud ERP, SaaS ERP, how to implement cloud ERP Read More

The Evolution of a Real-time Data Warehouse


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The Necessity of Data Warehousing


An explanation of the origins of data warehousing and why it is a crucial technology that allows businesses to gain competitive advantage. Issues regarding technology selection and access to historical 'legacy' data are also discussed.

hospital defined creation of a customized initial assessment that includes any demographic or clinical data  Necessity of Data Warehousing The Necessity of Data Warehousing M. Reed - August 2, 2000 Why the market is necessary Data warehousing is an integral part of the information age . Corporations have long known that some of the keys to their future success could be gleaned from their existing data, both current and historical. Until approximately 1990, many factors made it difficult, if not impossible, to extract this data and turn it into useful information. Some examples: Data storage peripherals such Read More