ServiceNow has a new product integration with SAP SuccessFactors Employee Central, helping customers to deliver high‑quality employee service experiences across the enterprise.
ServiceNow HR Service Delivery software will ship native integration of SAP SucessFactors Employee Central employee data as part of a product release in late 2017.
Mutual customers already using ServiceNow for HR Service Delivery and SAP SuccessFactors Employee Central around the globe will be able to immediately benefit from the consistent, comprehensive experience this integration enables.
“Making it easier for employees to be employees should be top of mind for every CHRO,” said Pat Wadors, ServiceNow’s newly appointed Chief Talent Officer. “By breaking down the silos within today’s global businesses, ServiceNow makes it easy for employees to get the service they need for moments that matter, whether that’s just from HR or also requires action from other departments.”
With ServiceNow software, organizations can provide employees fast and personalized service across the enterprise. This helps improve employee productivity and satisfaction, and the reputation of HR.
Employees with an HR request or service need – for onboarding, benefits updates, leave of absence, etc. – will make a request in ServiceNow HR Service Delivery. With the new integration, the employee’s data within SAP SuccessFactors Employee Central can be used to provide a more relevant and personalized service experience. Depending on that employee’s location, job role and senority level, ServiceNow HR Service Delivery is able to provide more appropriate information and suggested actions, all while automating the required workflows across relevant departments and systems.
The Latest
Telecommunications is expanding at an unprecedented pace ... But progress brings complexity. As WanAware's 2025 Telecom Observability Benchmark Report reveals, many operators are discovering that modernization requires more than physical build outs and CapEx — it also demands the tools and insights to manage, secure, and optimize this fast-growing infrastructure in real time ...
As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...
Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...
AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...
Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...
A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...
IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...
A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...
According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...
2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...