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Help Desk for the Health Care Industry
Help Desk for the Health Care Industry
Help Desk is an application for assisting and managing calls for support from computer users. It also includes computer and software inventory tracking along with technical support knowledge bas...
 

 stock technical data

Core PLM--Product Data Management - Discrete RFI/RFP Template

Product Data Management (PDM), Engineering Change Order and Technology Transfer, Design Collaboration, Process and Project Management, Product Technology Get this template

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Help Desk for the Health Care Industry
Help Desk for the Health Care Industry
Help Desk is an application for assisting and managing calls for support from computer users. It also includes computer and software inventory tracking along with technical support knowledge bas...

Documents related to » stock technical data

Data, Data Everywhere: A Special Report on Managing Information


The quantity of information in the world is soaring. Merely keeping up with, and storing new information is difficult enough. Analyzing it, to spot patterns and extract useful information, is harder still. Even so, this data deluge has great potential for good—as long as consumers, companies, and governments make the right choices about when to restrict the flow of data, and when to encourage it. Find out more.

stock technical data  they counted only the stock of original content. What about the information that is actually consumed? Researchers at the University of California in San Diego (UCSD) examined the flow of data to American households. They found that in 2008 such households were bombarded with 3.6 zettabytes of information (or 34 gigabytes per person per day). The biggest data hogs were video games and television. In terms of bytes, written words are insignificant, amounting to less than 0.1% of the total. However, the Read More

Taking Stock of Infor’s HCM “Inventory Items” - Part 2


Part 1 of this blog series started by expressing the “New Infor” sentiments (backed up with concrete examples and rationale) following my recent attendance of Inforum 2012. Then the article provided some historical background and described the lineage of the products that currently form the Infor10 HCM portfolio. The article also detailed some technical and organizational issues on both the

stock technical data  Stock of Infor’s HCM “Inventory Items” - Part 2 Part 1 of this blog series started by expressing the “New Infor” sentiments (backed up with concrete examples and rationale) following my recent attendance of Inforum 2012 . Then the article provided some historical background and described the lineage of the products that currently form the Infor10 HCM portfolio. The article also detailed some technical and organizational issues on both the former heritage Infor and Lawson Software ’s Read More

Enterprise Application Integration - the Latest Trend in Getting Value from Data


Enterprise Application Integration (EAI) is one of the hot-button issues in IT for the Year 2000. Information Week Research's survey of 300 technology managers showed nearly 75% of respondents said EAI is a planned project for their IT departments in the coming year. According to a survey conducted by Bank Boston, the market for EAI is expected to be $50 Billion USD by 2001. However, successful EAI requires a careful combination of a middleware framework, distributed object technologies, and custom consulting.

stock technical data  Bus (TIB) to pump stock market quotes into different systems. The programmers who wrote Teknekron then left and founded TIBCO. Many of those same developers are now with Vitria. The basic components required to achieve EAI are the following: Business Rule Component: to allow the applications to understand your business processes Business Logic Modules (i.e. supply planning, sales order processing. Methods for business process management.) Transformation tools (to define how to map data from one system to 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

stock technical data  used to review potential stock-outs for thousands of stocked items. Using one specific case, the system recognized that according to projections, in 10 weeks that product would be out of stock, and since the lead time for replenishment is eight weeks, the CCM system output determined the optimal ordering method, the optimal quantity, and prepared a purchase order for a buyer to approve. What makes CCM different? By continuously and independently analyzing financial transaction data, CCM applications can Read More

Taking Stock of TAKE Supply Chain Solutions - Part 2


Part 1 of this blog series introduced TAKE Supply Chain, a supply chain management (SCM) division of TAKE Solutions, Ltd. The TAKE Solutions parent company is a global technology solutions and service provider, with significant focus across two principal business areas – life sciences and SCM, with an almost even breakdown of revenues between these divisions (the company is

stock technical data  listed on the Indian Stock Exchange ) . My blog post first described TAKE Supply Chain’s genesis since its inception in 1994 as BPA Solutions , through its ClearOrbit phase from 2001 to 2007, and from the TAKE Solutions ownership on. Throughout all these changes, the company’s mission has remained intact: “To improve the speed , visibility and control of extended manufacturing and distribution value chains.” Then, the article analyzed TAKE Supply Chain’s current product lines, starting with 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.

stock technical data  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 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.

stock technical data  data blending, data analyst, data source, data analysis, data software, data cleansing, data access, data blending software 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.

stock technical data  big data,data management,analytics,SAP Read More

Appliance Power: Crunching Data Warehousing Workloads Faster and Cheaper than Ever


Appliances are taking up permanent residence in the data warehouse (DW). The reason: they are preconfigured, support quick deployment, and accelerate online analytical processing (OLAP) queries against large, multidimensional data sets. Discover the core criteria you should use to evaluate DW appliances, including performance, functionality, flexibility, scalability, manageability, integration, and extensibility.

stock technical data  data warehouse model,data warehouse software,enterprise data warehouse,olap database,olap tools,data warehouse concepts,data warehouse schema,data warehouse system,data warehouse tools,data warehouse training,olap data warehouse,building a data warehouse,building the data warehouse,business intelligence olap,data warehouse data mart Read More

Reinventing Data Masking: Secure Data Across Application Landscapes: On Premise, Offsite and in the Cloud


Be it personal customer details or confidential internal analytic information, ensuring the protection of your organization’s sensitive data inside and outside of production environments is crucial. Multiple copies of data and constant transmission of sensitive information stream back and forth across your organization. As information shifts between software development, testing, analysis, and reporting departments, a large "surface area of risk" is created. This area of risk increases even more when sensitive information is sent into public or hybrid clouds. Traditional data masking methods protect information, but don’t have the capability to respond to different application updates. Traditional masking also affects analysis as sensitive data isn’t usually used in these processes. This means that analytics are often performed with artificially generated data, which can yield inaccurate results.

In this white paper, read a comprehensive overview of Delphix Agile Masking, a new security solution that goes far beyond the limitations of traditional masking solutions. Learn how Delphix Agile Masking can reduce your organization’s surface area risk by 90%. By using patented data masking methods, Delphix Agile Masking secures data across all application lifecycle environments, providing a dynamic masking solution for production systems and persistent masking in non-production environments. Delphix’s Virtual Data Platform eliminates distribution challenges through their virtual data delivery system, meaning your data can be remotely synchronized, consolidated, and takes up less space overall. Read detailed scenarios on how Delphix Agile Data Masking can benefit your data security with end-to-end masking, selective masking, and dynamic masking.

stock technical data  Delphix Agile Masking, data masking, data security, security concerns, production environments, masking solution Read More

Metagenix Reverse Engineers Data Into Information


Metagenix’ MetaRecon reverse engineers metadata information by examining the raw data contained in the source(s) rather than depending on the data dictionaries of the existing legacy systems (which are often incorrect). Other unique Metagenix approaches include an "open book" policy, which includes publishing product price lists on their web site and complete access to company officials, including CEO and President Greg Leman. According to Mr. Leman, "we’re pathologically honest".

stock technical data  Metagenix: All employees are stockholders, and the company''s financial books are open to them at all times. Sales Engineers report to Rob Klink, Vice President of Operations, instead of Sales. This eliminates conflicts of interest, between the group that is tasked with demonstrating the product to prospects, and the group tasked with actually selling the product. This practice is unusual among software vendors. Along the same lines, Quality Assurance also reports to Mr. Klink, instead of the vendor Read More

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.

stock technical data  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 Read More

Data Management and Analysis


From a business perspective, the role of data management and analysis is crucial. It is not only a resource for gathering new stores of static information; it is also a resource for acquiring knowledge and supporting the decisions companies need to make in all aspects of economic ventures, including mergers and acquisitions (M&As).

For organizational growth, all requirements and opportunities must be accurately communicated throughout the value chain. All users—from end users to data professionals—must have the most accurate data tools and systems in place to efficiently carry out their daily tasks. Data generation development, data quality, document and content management, and data security management are all examples of data-related functions that provide information in a logical and precise manner.

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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.

stock technical data  IBM,data recovery,software data recovery,data recovery tools,data recovery tool,deleted data recovery,harddrive data recovery,hdd data recovery,ntfs data recovery,disk data recovery,data protection act,data protection,data recovery hard disk,lost data recovery,freeware data recovery Read More

Scalable Data Quality: A Seven-step Plan for Any Size Organization


Every record that fails to meet standards of quality can lead to lost revenue or unnecessary costs. A well-executed data quality initiative isn’t difficult, but it is crucial to getting maximum value out of your data. In small companies, for which every sales lead, order, or potential customer is valuable, poor data quality isn’t an option—implementing a thorough data quality solution is key to your success. Find out how.

stock technical data  customer data quality,data cleansing service,data integration system,data cleansing services,data profiling,data profiling software,data quality,data cleansing software,data governance,data integration Read More