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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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 free material data safety sheets


Developing a Universal Approach to Cleansing Customer and Product Data
Data quality has always been an important issue for companies, and today it’s even more so. But are you up-to-date on current industry problems concerning data

free material data safety sheets  and so forth Handles free-form text up to 8,000 characters in size and parses it into appropriate structured data fields User-defined dictionaries can be populated interactively using the project architect, or can be bulk loaded from an XML file. The bulk load capability is useful for loading industry standard product codes and classifications, weights and measures tables, international language translation tables, and data classifications identified using BusinessObjects Data Insight XI. Product Data An

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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

Core HR

Core human resources (HR) includes the HR system of record that combines HR transactions, processes, and data. Main capabilities also include payroll management, benefits management, workforce management, and training management.  

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Ramco Systems - Diversity Marshaled Through Flexibility Part 2: Market Impact


In the fiscal year 2000-01, Ramco transformed from a predominantly core ERP provider to a complete solutions company with a broader portfolio of products (e.g., ERP, EAM, HRMS, etc.) and services (e.g., network solutions, network security, modeling and simulations, etc.).

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E-Business Customer Service Success at H.B. Fuller Company


Chemical company H.B. Fuller has leveraged the Internet to improve their level of customer service.

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Overcoming Chemicals Industry Challenges through Optimization of Distribution and Inventory


For chemical companies, optimizing the distribution network and rationalizing inventories are the keys to an efficient supply chain and smoother operations. They must also resolve the challenges posed by environmental regulations and the need for seamless data integration.

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SAP for Chemicals Functionality


SAP has been delivering on its chemicals industry strategy by expanding its capabilities for manufacturing and supply chain management, broadening its composite package applications in areas such as emissions management, pricing management, and manufacturing dashboards, and focusing on mid-market companies.

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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 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.

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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.

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Data Blending for Dummies


Data analysts support their organization’s decision makers by providing timely key information and answers to key business questions. Data analysts strive to use the best and most complete information possible, but as data increases over time, so does the time required to identify and combine all data sources that might be relevant.

Data blending allows data analysts a way to access data from all data sources, including big data, the cloud, social media sources, third-party data providers, department data stores, in-house databases, and more, and become faster at delivering better information and results to their organizations. In the past, the challenge for data analysts has been accessing this data and cleansing and preparing the data for analysis. The access, cleansing, and preparing data stages are complex and time intensive. These days, however, software tools can help reduce the burden of data preparation, and turn data blending into an asset.

Read this e-book to understand why data blending is important, and learn how combining data means that you can get answers to your business questions and better meet your business needs. Also learn how to identify what features to look for in data blending software solutions, and how to successfully deploy these tools within your business. Data Blending for Dummies breaks the subject down into digestible sections, from understanding data blending to using data blending in the real world. Read on to discover how data blending can help your organization use its data sources to the utmost.

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Optimizing Gross Margin over Continously Cleansed Data


Imperfect product data can erode your gross margin, frustrate both your customers and your employees, and slow new sales opportunities. The proven safeguards are automated data cleansing, systematic management of data processes, and margin optimization. Real dollars can be reclaimed in the supply chain by making certain that every byte of product information is accurate and synchronized, internally and externally.

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


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A Roadmap to Data Migration Success


Many large business initiatives and information technology (IT) projects depend upon the successful migration of data—from a legacy source, or multiple sources, to a new target database. Effective planning and scoping can help you address the associated challenges and minimize risk for errors. This paper provides insights into what issues are unique to data migration projects and to offer advice on how to best approach them.

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