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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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 hr big data


How Big Data Helps HR to Maximize Business Performance
Oracle strategists Brian Gaspar and Amanda Hahn explore how big data is being used in human resources (HR) organizations for predictive problem solving and

hr big data  Big Data Helps HR to Maximize Business Performance

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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

Human Resources (HR)

Human Resources encompasses all the applications necessary for handling personnel-related tasks for corporate managers and individual employees.  Modules will include Personnel Management, Benefit Management, Payroll Management, Employee Self Service, Data Warehousing and Health & Safety.  

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Documents related to » hr big data

Big ERP Players Courting Government Agencies


There has been significant activity in the public sector, with all major players winning important new federal contracts for Enterprise Resource Planning (ERP). This strong government interest in ERP applications means that ERP seems to be getting some infusion from this sector at least.

hr big data  Under the $110 million, three-year contract, one of the biggest ERP consulting deals of the past year, PRC will be implementing PeopleSoft's human resources software. The software will replace more than 100 legacy systems used for personnel and payroll throughout Treasury and its 14 bureaus. When fully operational, the system will manage personnel data and payroll for more than 160,000 federal employees. According to Washington Technology online from October 23, Oracle Corp. and SAP Public Sector and Read More

Workday Tackles Big Data in the Cloud


At the recently held Workday Rising 2012 conference, Workday unveiled big data analytics for its users in human resources (HR) and financial departments. Workday plans to deliver big data capabilities (with no hardware required) to map and process external data sources and streams. One of Workday's design principles was to provide embedded contextual (relationship-aware) and fast in

hr big data  be mapped with Workday HR and Workday Financial Management data. The customer would need to perform the following steps: Collect and store—petabytes (PB)/terabytes (TB) of data Map, reduce, and analyze—to TB/gigabytes (GB) of data using Hadoop in the cloud; Workday also embeds the Datameer solution for mapping data Consume and act—on megabytes (MB) of data, which is the familiar built-in BI Workday experience Workday Big Data Analytics is scheduled to be generally available (GA) to Workday Read More

How Midsize Businesses Can Reduce Costs, Secure Data, and Ensure Compliance with an Identity Management Program


A strong identity management platform plays dual roles: gatekeeper and guardian of business intelligence (BI) and data. Midsize businesses can’t operate effectively without the ability to control access to their networks and business systems. And, many midsize companies must report on this information for compliance purposes. Learn about the factors driving midsize companies toward stronger identity management systems.

hr big data  IT), across departments (i.e., HR and IT) and throughout the entire organization (i.e., employees and partners). Most midsize businesses run multiple applications to keep operations running smoothly. In turn, each application requires access by a number of different users. A typical midsize business running even just a few dozen applications might have to manage varying levels of access across hundreds of users that include employees, partners and vendors. So, it is easy to see how quickly costs and Read More

A Look at the Buzz in HR Surrounding Today’s “Big” Data Buzzword


Recently, the HR enterprise software community seems to have become interested in big data, evidenced by the fact that big HR vendors like Workday and SumTotal are talking about "big HR data". Workday states that Workday Big Data Analytics collects data from multiple sources (within and outside of the Workday system) to provide insights to finance and HR managers and executives. Similarly

hr big data  big data. For example, HR professionals do not really need big data to realize that a great employee is considering leaving a company. Personal observations or gut feelings, combined with very specific employee information—such as performance, manager feedback, interests, etc.—are the right data sources to act on in this context. In other words, no amount of data analysis can replace your natural observation and evaluation qualities. Conversely, your gut feeling will definitely not tell you what Read More

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.

hr big data  difference between building a thriving business -and facing extinction - is the ability to constantly monitor and reduce costs. Supply-chain professionals spend billions of dollars annually to increase productivity and reduce costs to maintain or increase the bottom line AND provide a competitive advantage. “Pricing Management solutions are one of the most carefully guarded secrets of today’s companies. Do not wait for competitors to adopt first…In each vertical market that has implemented a Read More

The Advantages of Row- and Rack-oriented Cooling Architectures for Data Centers


The traditional room-oriented approach to data center cooling has limitations in next-generation data centers. Next-generation data centers must adapt to changing requirements, support high and variable power density, and reduce power consumption and other operating costs. Find out how row- and rack-oriented cooling architectures reduce total cost of ownership (TCO), and address the needs of next-generations data centers.

hr big data  that each of the three approaches has an appropriate application, and in general a trend away from room based cooling toward row based cooling should be expected for higher density applications. Room, row, and rack based cooling architectures Every data center air conditioning system has two key functions: to provide the bulk cooling capacity, and to distribute the air to the IT loads. The first function of providing bulk cooling capacity is the same for all cooling architectures, namely, that the bulk Read More

Data Security Is Less Expensive than Your Next Liability Lawsuit: Best Practices in Application Data Security


Insecure data. Heavy fines due to non-compliance. Loss of customers and reputation. It adds up to a nightmare scenario that businesses want to avoid at all costs. However, this nightmare is preventable: knowledge base-driven data security solutions can be critical tools for enterprises wanting to secure not only their data—but also their status in the marketplace.

hr big data   Read More

Microsoft Goes Their Own Way with Data Warehousing Alliance 2000


Microsoft Corp. (Nasdaq: MSFT) today announced that 47 applications and tools from 39 vendors throughout the industry have qualified for Microsoft« Data Warehousing Alliance 2000. Alliance members and partners are committed to delivering tools and applications based on the Microsoft Data Warehousing Framework 2000, an open architecture based on the open standards and services built into the Windows« 2000 operating system, Microsoft SQL Server 7.0 and Office 2000.

hr big data  from 39 top vendors throughout the industry have qualified for Microsoft Data Warehousing Alliance 2000. Alliance members and partners are committed to delivering tools and applications based on the Microsoft Data Warehousing Framework 2000, an open architecture for building business intelligence and analytical applications based on the open standards and services built into the Windows 2000 operating system, Microsoft SQL Server 7.0 and Office 2000. Application vendor membership for the Data Warehousing Read More

A Solution to Data Capture and Data Processing Challenges


Organizations are relying more and more on customer information to drive business processes. You probably spend a lot of time trying to make sure you get the right information to the right people at the right time—but is your data capture process as efficient as it could be? Learn about the issues surrounding data capture and data processing, and about a solution designed to help you address specific processing problems.

hr big data   Read More

New Data Protection Strategies


One of the greatest challenges facing organizations is the protection of corporate data. The issues complicating data protection are compounded by increased demand for data capacity and higher service levels. Often these demands are coupled with regulatory requirements and a shifting business environment. Learn about data protection strategies that can help organizations meet these demands while maintaining flat budgets.

hr big data  IBM,data protection,disaster recovery,disaster recovery plan,data protection manager,disaster recovery planning,backup disaster recovery,data disaster recovery,data protection system,disaster recovery software,continuous data protection,disaster recovery services,data protection services,disaster recovery systems,data disaster recovery plan 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.

hr big data  to drive the process through the required steps accurately, efficiently, and in the right order. Read this white paper to learn more. Read More

Big Data, Little Data, and Everything in Between—IBM SPSS Solutions Help You Bring Analytics to Everyone


Regardless of the type or scale of business data your users need to harness and analyze, they need a straightforward, visual solution that is easy to use on the front end and highly scalable on the back end. Fortunately, IBM SPSS solutions provide just such an ecosystem that can make different kinds of data stores—from Hadoop to those proverbial spreadsheets—useful sources of business insight and decision support.

hr big data  big data, predictive analytics, real-time analytics, embedded analytics, business analytics, IBM SPSS solutions, IBM SPSS predictive analytics tools, SPSS predictive software, predictive software 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.

hr big data  article walks the reader through a typical data quality strategy by illustrating, through examples, how and where quality issues occur, and the approaches available to inhibit the proliferation of these issues. We look at a subset of vendors that provide powerful and rich solutions to protect enterprise data quality. Begin at the Beginning The problem of inaccurate data often begins in application systems (the sources of data). There are simple best practices that can help limit the extent of inaccurate Read More

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.

hr big data  data migration sql,data migration strategies,data migration framework,server data migration,data migration issues,erp data migration,data migration validation,data migration test plan,data migration solutions,data migration strategy document,data migration companies,data migration testing strategy,data migration sql server,data migration planning,data migration plan example Read More