X
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 solutions by funtionality, so that you can make accurate and informed software purchasing decisions.
Compare Now
 

 2 level data flow diagram


Network Data Protection Playbook: Network Security Best Practice for Protecting Your Organization
Malicious hacking and illegal access are just a few of the reasons companies lose precious corporate data every year. As the number of network security breaches

2 level data flow diagram  hacked in less than 2 hours. Protect data on removable media-after the high-priority threats have been addressed. There has been a lot of news about lost tapes in the last year or so. But studies on data loss and financial impact due to security events indicate that the loss of tapes is only a four-percent problem. Most organizations have bigger concerns to fix first. With 96 percent of data lost by other means, mostly through network and insider attacks, the recent emphasis on encrypting tapes has been

Read More


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

HCIMS - Clinical Information System RFI/RFP Template

ADT (admission, discharge, and transfer), Global Requirements, Patient Information, Orders, Plan of Care, Work Plan, Kardex and Summary, Flow Sheets and Vitals, MAR and Medications, Critical Care, L&D Fetal Monitoring, Clinical Record, Reference and Reports, HIPAA (Health Insurance Portability and Accountability Act), Interfaces, Ease of Use, Technical and Support, and Product Technology  

Evaluate Now

Documents related to » 2 level data flow diagram

The Steel Manufacturing Industry: What Use Is an ERP System, Anyway?


TEC regularly works with companies to identify the right software vendors for their industry and particular needs. I’m going to provide you with information about ERP systems and how they relate to steel industry requirements (note: you can always consult our Vendor Showcase to find out more about specific software vendors). An ERP system is typically considered to be a company’s IT

2 level data flow diagram  hand, and levels 3, 2, and 1 on the other, so that a promise date can be sent back on customer orders. The supply chain application provides a rough-cut planning from the demand planning module, which results in the creation of a production plan. Once the production plan is in hand, the work orders are created and marked against available stock on hand. As the work orders are created, they are communicated to the MES application for load balancing and to make sure each production line is optimized Read More

SQL Server Technical Briefing


iSCSI storage area networks (SANs) offer an alternative for building SANs. Consolidating storage in a SAN offers storage management and scaling benefits for data centers, and iSCSI support in Windows Server 2003 makes connecting servers to an iSCSI SAN easier and more affordable. Read this technical briefing to understand best practices and the benefits of using an iSCSI SAN with SQL Server 2005.

2 level data flow diagram  Server and Windows Server 2003 performance.) The storage array was configured for RAID 10, the recommended RAID level for large SQL Server transactional implementations that need optimal performance. RAID 50 is available for environments requiring good performance while maximizing storage capacity. Tests Performed Two key tests were run to validate the SQL Server environment. The SQLIO Disk Subsystem Benchmark Tool (SQLIO) and SQLIOSim are utilities that stress and simulate SQL Server-like workloads. Read More

The Wizardry of Business Process Management: Part 5


Part 1 of this blog series started a lengthy discussion about the value proposition and parts-and-parcels of business process management (BPM), with an ensuing focus on Pegasystems (also known as Pega) as one of the leading BPM suite providers. Part 2, Part 3, and Part 4 then analyzed in depth a number of the vendor’s “BPM secret sauce” ingredients. Pega is one of the leading vendors in the

2 level data flow diagram  BPM suite providers.  Part 2 ,  Part 3 , and  Part 4  then analyzed in depth a number of the vendor’s “BPM secret sauce” ingredients. Pega is one of the leading vendors in the overall BPM software market (it has been automating  business processes  for more than 25 years), and it has a strong presence in the financial services, insurance, and health care markets. The vendor has been most successful competing for customers whose businesses are characterized by a high degree of change, Read More

Managing Lean Manufacturing Using Microsoft Dynamics AX 2009


A supply chain management system (SCM) is a critical success factor for implementing lean manufacturing. The SCM system helps define product structure, costing information, financial information and reports and is a useful tool in the decision-making process.

2 level data flow diagram  data, and continuous improvement. 2 Maturity Stages in Lean Manufacturing Most companies begin their lean journey with a pilot project approach, which represents the first of three maturity stages in lean manufacturing. 3 The pilot project focuses on shop floor processes and implementing lean methods at one or more work cells. The project may involve changes in the factory layout based on value stream mapping. Illustrative changes include the definition and design of work cells, supermarkets for floor 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.

2 level data flow diagram  data management analysis software selection,data analysis management solution evaluation,compare most accurate data tools, statistics application selection,statistical methods,improve data management and analysis,rfp to manage data,ecm software evaluation,information security is,compare information security systems,document management systems,dms,dms selection,is solution comparisons,product information management solution selection,pim,enterprise content management ecm,electronic media files,pim solution selection,compare top access control files software,security,evaluate data delivering systems,business analysis reports,dmag,analyse statistics,methodology,evaluate information security systems. 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.

2 level data flow diagram  data warehouse, data integration tools, data integration toolbox, big data management, data exploration tools, master data management, data management platform Read More

Guidelines for Specification of Data Center Power Density


Conventional methods for specifying data center density don’t provide the guidance to assure predictable power and cooling performance for the latest IT equipment. Discover an improved method that can help assure compatibility with anticipated high-density loads, provide unambiguous instruction for design and installation of power and cooling equipment, prevent oversizing, and maximize electrical efficiency.

2 level data flow diagram  2 is required Table 2 ' Data required at the row level Data Units Description Primary use # rack locations # The number of rack locations in a row. Includes all locations, some of which may ultimately be consumed by power or cooling equipment, depending on architecture To determine the total power and cooling requirement for the row Rack average in row kW / rack The average per-rack power density exhibited by IT racks in a specified row. Must be specified for each row in the room To determine the bulk 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".

2 level data flow diagram  Reed - February 15, 2001 Event Summary Metagenix, Inc. has designed its flagship product, MetaRecon to, as they put it, Decipher Your Data Genome . The product reverse engineers all of the metadata ( data about data ) from data sources and generates information that is very helpful to developers in designing specifications for a new data store, and assists greatly in preparing for cleansing and transformation of existing data. The product will also generate ETL (extract/transform/load) scripts based on Read More

Customer Data Integration: A Primer


Customer data integration (CDI) involves consolidation of customer information for a centralized view of the customer experience. Implementing CDI within a customer relationship management initiative can help provide organizations with a successful framework to manage data on a continuous basis.

2 level data flow diagram  Originally published - August 22, 2006 Introduction Implementing a customer data management system can be the difference between success and failure in terms of leveraging an organization's customer relationship management (CRM) system. Since customers drive profitability, organizations need a way to provide their employees with a single view of the customer and to provide that customer with above-average customer service. Unfortunately, this is not always the case. Disparate applications such as billing 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.

2 level data flow diagram  Data Management,Data Infrastructure,Data Center,Knowledge Management,Cost Control,IT Budgeting,Outsourcing,Strategic Planning,Business Applications,Business Management,data management software,data management technology,enterprise data management,data management services,customer data management Read More

Data Management and Business Performance: Part 1-Data


Research for one of my projects led me to ask both software vendors and customers about the factors most important to software users in the selection of a business intelligence (BI) solution. Two topics resounded: the use of BI tools to improve data management and business performance management. Consumers are continuously looking for innovative ways to move, store, and improve the quality of

2 level data flow diagram   Read More

Data Quality Trends and Adoption


While much of the interest in data quality (DQ) solutions had focused on avoiding failure of data management-related initiatives, organizations now look to DQ efforts to improve operational efficiencies, reduce wasted costs, optimize critical business processes, provide data transparency, and improve customer experiences. Read what DQ purchase and usage trends across UK and US companies reveal about DQ goals and drivers.

2 level data flow diagram  data quality solution,enterprise information management,enterprise information management strategy,enterprise information management definition,enterprise information management framework,enterprise information management software,data quality maturity,data quality software,open source data quality software,data quality,data quality tools,customer data quality,data quality metrics,data quality management,data quality objectives Read More

The Teradata Database and the Intelligent Expansion of the Data Warehouse


In 2002 Teradata launched the Teradata Active Enterprise Data Warehouse, becoming a key player in the data warehouse and business intelligence scene, a role that Teradata has maintained until now. Teradata mixes rigorous business and technical discipline with well-thought-out innovation in order to enable organizations to expand their analytical platforms and evolve their data initiatives. In this report TEC Senior BI analyst Jorge Garcia looks at the Teradata Data Warehouse in detail, including functionality, distinguishing characteristics, and Teradata's role in the competitive data warehouse space.

2 level data flow diagram  the Data Warehouse In 2002 Teradata launched the Teradata Active Enterprise Data Warehouse, becoming a key player in the data warehouse and business intelligence scene, a role that Teradata has maintained until now. Teradata mixes rigorous business and technical discipline with well-thought-out innovation in order to enable organizations to expand their analytical platforms and evolve their data initiatives. In this report TEC Senior BI analyst Jorge Garcia looks at the Teradata Data Warehouse in detail, Read More

Distilling Data: The Importance of Data Quality in Business Intelligence


As an enterprise’s data grows in volume and complexity, a comprehensive data quality strategy is imperative to providing a reliable business intelligence environment. This article looks at issues in data quality and how they can be addressed.

2 level data flow diagram  Originally Published - October 20, 2008 The zeal to get as much business data to the user as soon as possible often prevails over the establishment of processes that control the quality of data. Low data quality standards can lead to bad business decisions and missed opportunities. Even with a data warehouse that is well designed and equipped with the best tools for business intelligence (BI), users will encounter inefficiency and frustration if the quality of data is compromised. When embarking on a Read More