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HR metrics and analytics tools propel human resources into hyperdrive

For those of us who can remember, something called a personnel department was the go-to place to apply for a job, fill out the necessary paperwork if hired, pick up your paycheck, change your benefits and update your W9 tax exemptions. About 35 years ago, the term personnel -- perhaps not seen as "personal" enough -- quietly morphed into a designation that sounds, well, more human and all-encompassing. With the help of metrics and analytics applications, human resources has been catapulted into hyperdrive and is now considered a strategic business function. Beyond its traditional tasks, HR is charged with performance management, employee recruitment and retention, social media, healthcare portals and e-learning, to name just a few responsibilities essential to any company competing for a post position in the global market race.

August's Business Information opens with our editor's note and a strong reminder that, amid the metrics and analytics, workers are still a company's most important asset and need to be treated primarily as individuals, not as statistics. HR metrics and analytics management tools are available to do just that.

Along those lines, our cover story examines a new generation of multidimensional HR tech tools, including health management software platforms, wellness and fitness apps, and online benefits exchanges, to increase employee job satisfaction and improve their productivity. In another feature, we take worker productivity one step further and explore companies that use HR metrics and analytics to encourage continuous feedback and set tangible goals -- all the while gathering a treasure trove of metrics to identify and nurture job skills, elevate performance and increase employee retention.

Also in this issue, an artificial intelligence guru believes AI can humanize HR, and he's introducing three bot creations to prove his point. And in another feature, we ask which is easier, searching for extraterrestrials or finding the perfect job candidate? The answer could be out of this world.

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Definitions
  • denormalization

    In a relational database, denormalization is an approach to optimizing performance in which the administrator selectively adds back specific instances of duplicate data after the data structure has been normalized.

  • semantic technology

    Semantic technology is a set of methods and tools that provide advanced means for categorizing and processing data, as well as for discovering relationships within varied data sets.

  • data

    In computing, data is information that has been translated into a form that is efficient for movement or processing.

Browse Data Management Topics

Integration

Find a wide selection of enterprise data integration (EDI) articles, tutorials, information and resources appropriate for business or technical backgrounds. Read tutorials about different corporate data integration methods, find out about industry trends and get personal advice from our team of EDI experts. Also, check out best practices for evaluating and deploying enterprise data integration software platforms and get tips and tricks through case studies that cover a variety of industries and specific applications, such as business intelligence data integration. Learn definitions and applications of common integration methods such as extract, transform and load (ETL), enterprise application integration (EAI), enterprise information integration (EII), enterprise data replication (EDR) and hand coding, and find out about data-as-a-service and information-as-a-service in a service-oriented architecture.

Recent Definitions

  • data integration

    Data integration is the process of retrieving data from multiple source systems and combining it in such a way that it can yield consistent, comprehensive, current and correct information for business reporting and analysis.

  • data ingestion

    Data can be ingested in real time or in batches. When data is ingested in real time, each data item is imported as it is emitted by the source. When data is ingested in batches, data items are imported in discrete chunks at periodic intervals.

  • data preparation

    Data preparation is the process of aggregating and structuring data so that it can be used in business intelligence and analytics applications.

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Resources

Access a full collection of data management resources here. There's a lot going on in the data management industry beyond just technology innovations. Both business and technical professionals can benefit from these exclusive data management resources including tutorials, podcasts and articles about data management jobs, trends and the industry. Stay up-to-date on data management best practices and key industry trends that could affect organizational strategies.

Recent Definitions

  • data scientist

    A data scientist is a professional responsible for collecting, analyzing and interpreting large amounts of data to identify ways to help a business improve operations and gain a competitive edge over rivals.

  • JAR file (Java Archive)

    A Java Archive, or JAR file, contains all of the various components that make up a self-contained, executable Java application, deployable Java applet or, most commonly, a Java library to which any Java Runtime Environment can link.

  • data engineer

    A data engineer is a worker whose primary job responsibilities involve preparing data for analytical or operational uses.

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Quality / governance

This topic section features a comprehensive collection selection of data governance and data quality management software and strategy resources, articles and templates. Get advice on data quality software management planning and implementation, data governance, data stewardship, data profiling and data cleansing from analysts and experts -- even pose specific questions to a panel of experts. Learn how other companies are managing data quality and governance through exclusive case studies that span industries. And, listen to exclusive podcasts with help and data quality management best practices straight from renowned experts.

Recent Definitions

  • data life cycle

    The data life cycle is the sequence of stages that a particular unit of data goes through from its initial generation or capture to its eventual archival and/or deletion at the end of its useful life.

  • data context

    Data context is the network of connections among data points. Those connections may be created as metadata or simply identified and correlated.

  • United States Census

    The United States Census is a national survey conducted every ten years to enumerate the population for taxation and political representation.

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DBMS

A database management system (DBMS) is a critical IT infrastructure component. In this section, you’ll find news, advice and other information resources on database technology and database management issues. Learn about DBMS concepts, database best practices and the potential advantages of DBMS technology as well as database problems to watch out for. Get tips on designing enterprise database management systems, evaluating DBMS software and managing a database implementation. Stay up to date on the latest database trends and market-leading relational database technologies, such as Oracle databases, IBM DB2 and Microsoft SQL Server. Also, read about different types of database management systems, including open source databases. Get personalized advice and answers to your database questions from our panel of database experts, read book excerpts with DBMS examples and use our DBMS tutorials to help you prepare for your next database project.

Recent Definitions

  • Microsoft SQL Server

    Microsoft SQL Server is a relational database management system, or RDBMS, that supports a wide variety of transaction processing, business intelligence and analytics applications in corporate IT environments

  • Oracle

    Oracle is one of the largest vendors in the enterprise IT market and the shorthand name of its flagship product, a relational database management system (RDBMS) that's formally called Oracle Database.

  • denormalization

    In a relational database, denormalization is an approach to optimizing performance in which the administrator selectively adds back specific instances of duplicate data after the data structure has been normalized.

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BI

Get the latest information about enterprise business intelligence (BI) software tools and market trends in articles, news and resources. Quickly learn how to develop or update a business intelligence strategy and roadmap, and find out what trends could affect an organization's business intelligence strategy. Get tutorials on business intelligence fundamentals and read many business intelligence case studies with tips, tricks and best practices from analysts, experts and end users. Find out more about where to find business intelligence jobs, training and the best certifications. And, read about related disciplines such as corporate performance management, business intelligence search, data analytics, predictive analytics, text mining, data mining, executive dashboards, performance scorecards and more.

Recent Definitions

  • HIPAA (Health Insurance Portability and Accountability Act)

    HIPAA (Health Insurance Portability and Accountability Act of 1996) is United States legislation that provides data privacy and security provisions for safeguarding medical information.

  • data gravity

    Data gravity is an attribute of data that is manifest in the way software and services are drawn to it relative to its mass (the amount of data).

  • data mining

    Data mining is the process of sorting through large data sets to identify patterns and establish relationships to solve problems through data analysis.

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ECM

Learn about the potential benefits and challenges of deploying enterprise content management systems and using enterprise content management software. Get information and expert advice on creating an enterprise content management strategy, selecting ECM software and managing ECM systems. Find resources on topics such as ECM training, ECM vendors and open source enterprise content management, plus news and best-practices guidance on unstructured data management and unstructured data analysis. Also, get answers to your ECM questions and ECM problems from our enterprise content management expert.

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Data warehouse

In this section, you’ll find news articles, case studies and other information resources on enterprise data warehousing and data warehouse management. Learn about data warehousing concepts, data warehousing best practices and data warehousing methodologies. Get expert advice on data warehousing basics, such as evaluating enterprise data warehouse software, selecting data warehouse vendors and managing a data warehouse system. Read case studies on data warehouse implementation projects, and get up to speed on technologies such as data warehousing tools and data warehouse appliance hardware. Also, get tips on data warehouse project management and answers to your questions on data warehouse architecture and data warehouse design issues, such as creating a data warehouse schema.

Recent Definitions

  • smart city

    A smart city is a municipality that uses information and communication technologies to increase operational efficiency, share information with the public and improve both the quality of government services and citizen welfare.

  • semantic technology

    Semantic technology is a set of methods and tools that provide advanced means for categorizing and processing data, as well as for discovering relationships within varied data sets.

  • Apache Spark

    Apache Spark is an open source parallel processing framework for running large-scale data analytics applications across clustered computers. It can handle both batch and real-time analytics and data processing workloads.

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MDM

Enterprise master data management (MDM) promises to help organize data to achieve a "single view of the truth" -- but it's an emerging discipline that still presents many technical and organizational challenges. Learn how to design a master data management strategy with the expert advice in this topic section and read about the latest principles and trends in master data management (MDM) systems and best practices with a wide collection of articles, resources and tutorials. Read analyst firm studies about master data management (MDM) software and learn more about systems from vendors such as IBM and Kalido. Check out master data management (MDM) case studies or ask our expert panel for MDM advice. Also, see how companies use MDM practices like product information management (PIM) to manage catalogs or customer data integration (CDI) to reduce churn and improve customer service. And, find resources on related disciplines such as data governance for master data management projects, data quality management and enterprise data integration.

Recent Definitions

  • metadata management

    Metadata management is the oversight of data associated with data assets to ensure that information can be integrated, accessed, shared, linked, analyzed and maintained to best effect across an organization.

  • golden record

    A golden record is a single, well-defined version of all the data entities in an organizational ecosystem. Sometimes it's called the "single version of the truth," where "truth" is understood to mean the reference to which data users can turn when they want to ensure that they have the correct version of a piece of information.

  • master data

    Master data is the core data that is essential to operations in a specific business or business unit.

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Verticals

Your data management needs are often dependent on your industry, so we have dedicated a topic section to vertical data management strategies. Find resources for data management in the financial services, healthcare, manufacturing and retail industry. Explore industry-specific advice and case studies to help you design a strategy for managing data that meets the needs of your organization.

Recent Definitions

  • HIPAA (Health Insurance Portability and Accountability Act)

    HIPAA (Health Insurance Portability and Accountability Act of 1996) is United States legislation that provides data privacy and security provisions for safeguarding medical information.

  • edge analytics

    Edge analytics applies algorithms to data at the point of collection in order to trigger actions and determine what should be sent back to a central data repository and what should be discarded.

  • reference data

    Reference data, in the context of data management, are the data objects relevant to transactions, consisting of sets of values, statuses or classification schema.

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SearchCompliance

  • pure risk (absolute risk)

    Pure risk, also called absolute risk, is a category of threat that is beyond human control and has only one possible outcome if ...

  • risk assessment

    Risk assessment is the identification of hazards that could negatively impact an organization's ability to conduct business.

  • audit program (audit plan)

    An audit program, also called an audit plan, is an action plan that documents what procedures an auditor will follow to validate ...

SearchSecurity

SearchHealthIT

SearchDisasterRecovery

  • business continuity and disaster recovery (BCDR)

    Business continuity and disaster recovery (BCDR) are closely related practices that describe an organization's preparation for ...

  • business continuity plan (BCP)

    A business continuity plan (BCP) is a document that consists of the critical information an organization needs to continue ...

  • call tree

    A call tree -- sometimes referred to as a phone tree -- is a telecommunications chain for notifying specific individuals of an ...

SearchStorage

  • nearline storage

    Nearline storage is the on-site storage of data on removable media.

  • application-aware storage

    Application-aware storage is a storage system with built-in intelligence about relevant applications and their utilization ...

  • Remote Direct Memory Access (RDMA)

    Remote Direct Memory Access (RDMA) is a technology that allows computers in a network to exchange data in main memory without ...

SearchSolidStateStorage

  • 3D XPoint

    3D XPoint is memory storage technology jointly developed by Intel and Micron Technology Inc.

  • RRAM or ReRAM (resistive RAM)

    RRAM or ReRAM (resistive random access memory) is a form of nonvolatile storage that operates by changing the resistance of a ...

  • JEDEC

    JEDEC is a global industry group that develops open standards for microelectronics.

SearchCloudStorage

  • Google Cloud Storage

    Google Cloud Storage is an enterprise public cloud storage platform that can house large unstructured data sets.

  • RESTful API

    A RESTful application program interface breaks down a transaction to create a series of small modules, each of which addresses an...

  • cloud storage infrastructure

    Cloud storage infrastructure is the hardware and software framework that supports the computing requirements of a private or ...

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