hr analytics

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Building Stronger HR Partners Through Talent Analytics

Published By: IBM     Published Date: Jun 13, 2016
Big data. We've heard the phrase for quite some time, but how can human resource leaders get into the action? One way is through the development and implementation of talent analytics strategies. Talent analytics is fundamentally changing the way organizations and practitioners are thinking about the role of HR and organizations uncovering never before seen insights.
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ibm, talent acquisition, talent acquisition technology, human resources, recruiting
    
IBM

Talent Analytics in the New Era of Cognitive Computing

Published By: IBM     Published Date: Jun 13, 2016
Analytics has permeated, virtually, every department within an organization. It’s no longer a ‘nice to have’. It’s an organizational imperative. HR, specifically, collects a wealth of data; from recruiting applications, employee surveys, performance management data and it sits in systems that remain largely untapped. This data can help drive strategic decisions about your workforce. Analytic tools have, historically, been difficult to use and required heavy IT lifting in order to get the most out of them. What if an analytics system learned and continue to learn as it experienced new information, new scenarios, and new responses. This is referred to as Cognitive Computing and is key to providing an analytics system that is easy to use but extremely powerful.
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ibm, talent acquisition, talent acquisition technology, human resources, recruiting, talent acquisition technology
    
IBM

Talent Analytics in the New Era of Cognitive Computing

Published By: IBM     Published Date: Jul 20, 2016
Analytics has permeated, virtually, every department within an organization. It’s no longer a ‘nice to have’. It’s an organizational imperative. HR, specifically, collects a wealth of data; from recruiting applications, employee surveys, performance management data and it sits in systems that remain largely untapped. This data can help drive strategic decisions about your workforce. Analytic tools have, historically, been difficult to use and required heavy IT lifting in order to get the most out of them. What if an analytics system learned and continue to learn as it experienced new information, new scenarios, and new responses. This is referred to as Cognitive Computing and is key to providing an analytics system that is easy to use but extremely powerful.
Tags : 
ibm, talent acquisition, talent acquisition technology, human resources, recruiting, talent acquisition technology, human resource technology
    
IBM

Using Analytics to Proactively Detect Insider Threat 

Published By: SAS     Published Date: Mar 06, 2018
The 2016 ACFE Report to the Nations on Occupational Fraud and Abuse analyzed 2,410 occupational fraud cases that caused a total loss of more than $6.3 billion.8 Victim organizations that lacked anti-fraud controls suffered double the amount of median losses. SAS’ unique, hybrid approach to insider threat deterrence – which combines traditional detection methods and investigative methodologies with behavioral analysis – enables complete, continuous monitoring. As a result, government agencies and companies can take pre-emptive action before damaging incidents occur. Equally important, SAS solutions are powerful yet simple to use, reducing the need to hire a cadre of high-end data modelers and analytics specialists. Automation of data integration and analytics processing makes it easy to deploy into daily operations.
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SAS

IIA: IoT in Retail: Engaging the Connected Customer

Published By: SAS     Published Date: Mar 06, 2018
The Internet of Things enables retailers to do three basics better and faster: 1) Sensing who customers are and what they’re doing, 2) Understanding customer behavior and preferences, and 3)Acting on that insight to create a more engaging customer experience. - There are high-potential IoT applications in supply chain, in “smart store” operations, and especially in providing an engaging experience to the “connected customer.” IoT data can anticipate where the customer is headed and how to meet her there. - Much of the IoT ground, in both data management and analytics, may be unfamiliar. Retailers and their IT organizations have to be realistic about the technological challenges, their own capabilities, and where they need assistance. - To differentiate through IoT, focus on the analytics. Devices and their data — and even their platforms — are commodities. Advantage goes to the retailer who does the most with the data to engage the connected customer.
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SAS

IIA: Health Care Payment Integrity through Advanced Analytics

Published By: SAS     Published Date: Apr 04, 2018
“Fixing health care” is an urgent and pervasive priority for governments, businesses and citizens alike. Within many countries, costs are out of control, resulting in reduced access to quality care for those who need it, higher taxes and/or insurance costs for companies and citizens – and unfortunately, poorer health outcomes.
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SAS

Harvard Business Review Analytic Services: Real-Time Analytics

Published By: SAS     Published Date: Jun 06, 2018
Today’s consumers expect immediate, personalized interactions. To meet these expectations, companies must differentiate their brands through timely, targeted and tailored customer experiences based on real-time data analytics. This report, sponsored by SAS, Intel and Accenture and conducted by Harvard Business Review Analytic Services, looks at how businesses are using advanced customer data analytics, along with real-time analytics and real-time marketing, to enhance their customers’ experiences. Learn why organizations that place a high value on real-time capabilities still struggle to achieve them, what companies can do to ensure success as they adopt and implement real-time analytics solutions, and what benefits successful companies are already seeing.
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SAS

Becoming a Data-Driven Organization: The what, why and how

Published By: SAS     Published Date: Jun 06, 2018
A multitude of “things” generate floods of big data – cars, wearables, machines and appliances. Wouldn’t you like to sift through that noise and become an organization that relies on data to make fact-based decisions? Learn about the three foundations of becoming data-driven – data management, analytics and visualization – and how they can increase profitability, boost performance, raise market share and improve operations. Read about hurdles to becoming a data-driven organization and learn best practices from others. Then get a glimpse of what the future holds with the Internet of Things (IoT), edge analytics, artificial intelligence (AI) and other technology innovations.
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SAS

Three Reasons Why Call Tracking Matters to Online Advertisers and Digital Agencies

Published By: Marchex     Published Date: Dec 10, 2010
This white paper focuses on the following three reasons why call tracking and analytics is such an essential component of a digital marketer's toolkit.
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marchex, call tracking, analytics, digital marketing, search marketing, phone call, performance-based advertising, search bid, conversion rates
    
Marchex

The Analytical SMB: More Data, More Users, Less Time

Published By: SAS     Published Date: Mar 01, 2012
This Aberdeen Research Brief draws on three discrete data sets in order to understand the tangible business impact of effective analytics in the SMB market.
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it management, business activity monitoring, business analytics, business integration, business intelligence, business management, business metrics, business process automation, business process management, enterprise resource planning, it spending, risk management
    
SAS

Three Steps To Put Predictive Analytics To Work

Published By: SAS     Published Date: Mar 14, 2014
The solution to operationalizing analytic s involves the effective combination of a Decision Management approach with a robust, modern analytic technology platform. This paper discusses both how to use a focus on decisions to ensure the right problem gets solved and what such an analytic technology platform looks like.
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sas, predictive analytics, technology platform, solution, operationalizing, production systems, best practices, business analytics, analytical applications, data quality
    
SAS

Build, Buy or Lease? Leveraging Talent Analytics to Plan for Tomorrow's Workforce

Published By: Taleo     Published Date: Mar 30, 2012
This study covers how to do each of these things effectively and includes examples from companies such as Cargill and Savannah River Nuclear Systems.
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alere, hr management, human resources, workforce, talent analytics, talent acquisition, talent management, performance management
    
Taleo

Preventing security risks in real time

Published By: IBM     Published Date: Oct 10, 2013
The growth of cloud, mobility, social business and big data mean that botnets, credit card theft, cyber criminals and other external threats pose increasing risk to business continuity, financial stability and brand reputation. Read the white paper, “Preventing security risks in real time,” to learn how this new reality is forcing the evolution of organizations’ defenses to become more intelligent—using global analytics to scale visibility across broad data sets, both diverse and complementary, in real time.
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ibm, cloud, mobility, social business, data, big dta, theft, cyber theft, cyber criminals, security, security risks, global analytics, visibility, data sets, protection, external threats, risk, risk management, finanical stability, it management
    
IBM

IBM SmartCloud Software-as-a-Service Helps Transform Business

Published By: IBM     Published Date: Nov 12, 2013
Today IBM offers more than 80 cloud-based business solutions through software-as-a-service. IBM SmartCloud Solutions accelerate innovation for the enterprise across business processes, deliver business analytics at the point of impact, and connect people with collaborative business networks. Learn more at ibm.com/saas
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software as a service, saas, saas solutions, business process innovation, analytics, business process as a service, knowledge management, enterprise applications, cloud computing
    
IBM

Getting to the Need

Published By: IBM     Published Date: Feb 04, 2015
Driving the right interaction at the right time. This paper examines the need to uncover and understand the dynamic roles and changing needs of individuals, the importance of synchronizing interactions with these changing needs, and how predictive analytics can drive customer intimacy by facilitating 1:1 interactions.
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predictive analytics, customer interaction, crm, business analytics, marketing attributes
    
IBM

Unlocking the people equation: Using workforce analytics to drive business results

Published By: IBM     Published Date: Jan 20, 2016
Workforce analytics can challenge conventional wisdom, influence behavior, and enable HR and business leaders to make smarter decisions that impact business outcomes.
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ibm, analytics, workforce, workforce analytics, enterprise applications, business technology
    
IBM

2016 From Data to Insights to Opportunities

Published By: IBM     Published Date: Jul 22, 2016
Ordinary analytics tools can’t keep up with today’s digital, multichannel and demanding customers. This guide highlights three major challenges associated with traditional analytics and how innovative strategies combined with IBM’s Customer Experience Analytics solution can solve them.
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ibm, commerce, customer analytics, customer insight, data insights, business opportunity, analytics, knowledge management, enterprise applications
    
IBM

IBM Customer Experience Analytics: From Data to Insights to Opportunities

Published By: IBM     Published Date: Aug 17, 2016
Ordinary analytics tools can’t keep up with today’s digital, multichannel and demanding customers. This guide highlights three major challenges associated with traditional analytics and how innovative strategies combined with IBM’s Customer Experience Analytics solution can solve them.
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ibm, customer experience, commerce, customer experience analytics, data insights, enterprise applications, business technology
    
IBM

IBM Customer Experience Analytics: From Data to Insights to Opportunities

Published By: IBM     Published Date: Oct 11, 2016
Ordinary analytics tools can’t keep up with today’s digital, multichannel and demanding customers. This guide highlights three major challenges associated with traditional analytics and how innovative strategies combined with IBM’s Customer Experience Analytics solution can solve them.
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ibm, customer analytics, customer experience, analytics, data insight, knowledge management, enterprise applications, business technology
    
IBM

From Data to Insights to Opportunities

Published By: IBM     Published Date: Feb 01, 2017
Ordinary analytics tools can’t keep up with today’s digital, multichannel and demanding customers. This guide highlights three major challenges associated with traditional analytics and how innovative strategies combined with IBM’s Customer Experience Analytics solution can solve them.
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ibm, commerce, customer analytics, customer insights, enterprise applications, business technology
    
IBM

Big Data Integration and Governance Considerations for Healthcare

Published By: IBM     Published Date: Oct 01, 2014
This white paper discusses how IBM InfoSphere can support the integration and governance of Big Data in healthcare. The white paper reviews three case studies including predictive analytics with Electronic Medical Records, time series data in a neonatal intensive care unit and predictive pathways for disease.
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big data, data integration, healthcare, data management, business activity monitoring, business analytics
    
IBM

Westfield Insurance optimizes decision-making through analytics

Published By: IBM     Published Date: Feb 05, 2015
Revealing new insights into agency performance, claims processing, customer profitability and exposure.
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agency performance, claims processing, customer probability, advanced analytics
    
IBM

The Rise of Machine Data:  Are you prepared?

Published By: IBM     Published Date: May 29, 2015
Take action in the Internet of Things through data-in-motion analytics
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big data, mobility, compute-intensive apps, virtualization, cloud computing, scalable infrastructure, reliability, best practices, business activity monitoring, data center
    
IBM

Cloud For Dummies E-Book

Published By: Group M_IBM Q418     Published Date: Oct 02, 2018
Organizations are faced with providing secure authentication, authorization, and Single Sign On (SSO) access to thousands of users accessing hundreds of disparate applications. Ensuring that each user has only the necessary and authorized permissions, managing the user’s identity throughout its life cycle, and maintaining regulatory compliance and auditing further adds to the complexity. These daunting challenges are solved by Identity and Access Management (IAM) software. Traditional IAM supports on-premises applications, but its ability to support Software-as-a-Service (SaaS)-based applications, mobile computing, and new technologies such as Big Data, analytics, and the Internet of Things (IoT) is limited. Supporting on-premises IAM is expensive, complex, and time-consuming, and frequently incurs security gaps. Identity as a Service (IDaaS) is an SaaS-based IAM solution deployed from the cloud. By providing seamless SSO integration to legacy on-premises applications and modern cloud-
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Group M_IBM Q418

Driving Growth And Profitability: Find New Revenue Opportunities With Predictive Analytics

Published By: IBM     Published Date: Apr 27, 2017
It’s hard to grow your business if you can’t see what’s coming next. What will the demand be for a specific product or service and how should you adjust production? What revenue can be expected and from which channels? Where are the best areas to expand your business? Predictive analytics can provide the answers executives, analysts and business managers need to reduce costs, operate more efficiently and increase the bottom line. Join IBM SPSS and guest Mark Lack, Manager of Strategy Analytics and Business Intelligence with industrial products company Mueller Inc. for a look at how to decrease costs and improve your business’ profitability with predictive analytics. You’ll learn how Mueller extends the value of its Big Data environment by applying predictive techniques to accurately forecast sales, prevent fraud and reduce losses from damaged inventory, saving the company significant time and money.
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predictive analytics, fraud detection, increase revenue, decrease costs, customer retention, hr efficiency, advanced analytics
    
IBM
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