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
 

 ilm definition of data warehousing

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

Discrete Manufacturing (ERP)

The simplified definition of enterprise resource planning (ERP) software is a set of applications that automate finance and human resources departments and help manufacturers handle jobs such as order processing and production scheduling. ERP began as a term used to describe a sophisticated and integrated software system used for manufacturing. In its simplest sense, ERP systems create interactive environments designed to help companies manage and analyze the business processes associated with manufacturing goods, such as inventory control, order taking, accounting, and much more. Although this basic definition still holds true for ERP systems, today its definition is expanding. Today’s leading ERP systems group all traditional company management functions (finance, sales, manufacturing, and human resources). Many systems include, with varying degrees of acceptance and skill, solutions that were formerly considered peripheral such as product data management (PDM), warehouse management, manufacturing execution system (MES), and reporting. During the last few years the functional perimeter of ERP systems began an expansion into its adjacent markets, such as supply chain management (SCM), customer relationship management (CRM), business intelligence/data warehousing, and e-business, the focus of this knowledge base is mainly on the traditional ERP realms of finance, materials planning, and human resources. The foundation of any ERP implementation must be a proper exercise of aligning customers'' IT technology with their business strategies, and subsequent software selection. 

Evaluate Now

Documents related to » ilm definition of data warehousing

The Future of Talent Management: Underlying Drivers of Change


The next generation of talent management practices and solutions will largely be driven by economic evolution, demographic changes, and technology advancements. These factors are dramatically influencing the way people work, the way companies are organized, and the way talent is managed. This paper explores how current business and talent management processes and technology must evolve in order to effectively deliver business value in the next 5 to 10 years.

ilm definition of data warehousing  talent management,Oracle HCM,talent management process,human capital management,talent management trends Read More

Collaboration 2.0: Taking Collaboration to the Next Level: From the E-mail and Document-centric World of 'Enterprise 1.0' to the People-Centric World of Enterprise 2.0


Most business collaboration continues to be conducted via e-mail and shared folders, but forward-looking organizations are increasingly considering socially oriented and real-time collaboration solutions to instantly and seamlessly increase productivity between employees, suppliers, customers, and stakeholders. This white paper discusses new products, services, and technologies entering the enterprise collaboration space.

ilm definition of data warehousing  enterprise 2.0 software,enterprise 2.0 collaboration software,collaboration 2.0,enterprise 2.0 solutions,enterprise 2.0 tools,enterprise 2.0 collaboration,enterprise 2.0 mashups,enterprise 2.0 consulting,open source enterprise 2.0,web enterprise 2.0,enterprise 2.0,enterprise 2.0 santa clara,enterprise 2.0 applications,enterprise 2.0 san francisco,enterprise 2.0 2010 Read More

Never Was A Story Of More Woe Than This Of RJR And Nabisco


The complex maneuvers involved in RJR’s divestiture of Nabisco will prove simple compared to the efforts required to join Kraft and Nabisco in a way that ensures future success.

ilm definition of data warehousing  advanced planning and scheduling,advanced planning system,lean supply chain,supply chain inventory,supply chain system,supply chain systems,production management system,manufacturing supply chain management,manufacturing scheduling system,scheduling manufacturing,production planning system,production scheduling system,planning manufacturing,manufacturing planning software,manufacturing capacity planning Read More

Agile Data Masking: Mitigate the Threat of Data Loss Prevention


You may not be as protected from data loss as you think. This infographic looks at some ways in which an enterprise's data can be compromised and vulnerable to security breaches and data loss, and shows how data masking can mean lower security risk and increased defense against data leaks.

ilm definition of data warehousing  data masking, data security, information security, data loss prevention, data compromise, masking data 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.

ilm definition of data warehousing  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

State of the Art in TCO: Managing the Total Cost of Ownership


Total cost of ownership (TCO) is one of the most difficult metrics to benchmark. Even when using the clearest of metrics, companies often obtain inadequate results. Instead of thinking solely about how to calculate and reduce TCO, companies should think about how to manage TCO from a business perspective, in order to leverage solid, results-oriented decisions about IT solutions.

ilm definition of data warehousing   Read More

Data Enrichment and Classification to Drive Data Reliability in Strategic Sourcing and Spend Analytics


Spend analytics and performance management software can deliver valuable insights into savings opportunities and risk management. But to make confident decisions and take the right actions, you need more than just software—you also need the right data. This white paper discusses a solution to help ensure that your applications process reliable data so that your spend analyses and supplier risk assessments are accurate, trustworthy, and complete.

ilm definition of data warehousing  spend analytics,performance management software,spend analyses,supplier risk assessments,data enrichment and classification Read More

Forecasting Total Cost of Ownership for Initial Deployments of Server Blades


For organizations deploying many servers, total cost of ownership (TCO) analyses favor blade over rack-optimized systems. Blade server systems—reducing both capital and operating expenses—exploit economies of scale when deploying servers in volume. Saving power, cooling, and space by more than 25 percent, the blade advantage is particularly relevant for servers working in conjunction with storage area networks (SANs).

ilm definition of data warehousing   Read More

Next-generation Data Auditing for Data Breach Protection and Risk Mitigation


Data breaches and leaks are on the rise—and the consequences, from theft of identity or intellectual property, can seriously compromise a company’s reputation. Stolen laptops, hacking, exposed e-mail, insider theft, and other causes of data loss can plague your company. How can you detect (and respond!) to breaches and protect your data center? Learn about the functions and benefits of an automated data auditing system.

ilm definition of data warehousing   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.

ilm definition of data warehousing  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

Increasing Sales and Reducing Costs across the Supply Chain-Focusing on Data Quality and Master Data Management


Nearly half of all US companies have serious data quality issues. The problem is that most are not thinking about their business data as being valuable. But in reality data has become—in some cases—just as valuable as inventory. The solution to most organizational data challenges today is to combine a strong data quality program with a master data management (MDM) program, helping businesses leverage data as an asset.

ilm definition of data warehousing   Read More

TCO Analysis of a Traditional Data Center vs. a Scalable, Containerized Data Center


Standardized, scalable, pre-assembled, and integrated data center facility power and cooling modules provide a total cost of ownership (TCO) savings of 30% compared with traditional, built-out data center power and cooling infrastructure. Avoiding overbuilt capacity and scaling the design over time contributes to a significant percentage of the overall savings. This white paper provides a quantitative TCO analysis of the two architectures, and illustrates the key drivers of both the capex and opex savings of the improved architecture.

ilm definition of data warehousing  DCIM, data center, data center infrastructure management, DCIM management, IT, IT infrastructure, APC by Schneider Electric, facility operations and maintenance, data center facility operations, data center PUE, PUE, data center cooling module, data center power and cooling infrastructure, traditional data center, containerized data center, data center TCO 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.

ilm definition of data warehousing  big data,innovation,data management,data platforms,data ecosystems Read More

Comparing the Total Cost of Ownership of SME On-premise Business Management Applications and SAP Business ByDesign


This document analyzes the cost of ownership for a typical on-premise small and medium enterprise (SME) business management system, and compares it to the cost of an equivalent SAP Business ByDesign implementation. It uses a mixture of different on-premise systems rather than any single vendor's product. Although there are many similarly equipped business management products available, they all compete closely on price.

ilm definition of data warehousing  sap,erp,business management software,erp software,erp system,enterprise resource planning,erp crm,erp implementation,erp business,erp systems,erp management,erp definition,erp project,erp solutions,erp ppt Read More

Forrester TechRadar Report: Data Security


Data security is not just an IT issue these days but a business imperative, as data volumes explode and it is becoming a Herculean task to protect sensitive data from cybercriminals and prevent privacy infringements. As data volumes continue to rise, the burden of protecting sensitive data and preventing security breaches can be crushing. It is necessary to take a holistic, comprehensive, and long-lasting approach to data security that encompasses people, processes, and technology.

This Forrester TechRadar Data Security report provides a framework for developing a long-term approach to keeping your organization’s information secure. Data breaches and insider threats are becoming more common, and your organization needs to achieve compliance and secure privacy without affecting the bottom line. Most companies are also interested in adopting cloud, mobile, and other technologies, which can complicate data security matters even more.

This comprehensive and in-depth report evaluates 20 of the key traditional and emerging data security technologies. To make the report, Forrester interviewed over 40 experts, customers, and users, and drew from a wealth of analyst experience, insight, and research.

Use this report to get informed about what you need to consider to restrict and strictly enforce access control to data, monitor, and identify abnormal patterns of network or user behavior, block exfiltration of sensitive data, and render successful theft of data harmless.

ilm definition of data warehousing  data security, Intralinks, data, security, data monitoring, data breach, protect data, data protection, enterprise data security Read More