In Forrester’s 40-criteria evaluation of subscription billing platform solutions, we identified the eight most significant vendors in the category — Apttus, Aria Systems, Digital River,
goTransverse, Recurly, SAP hybris, Vindicia, and Zuora — and researched, analyzed, and scored them. This report details our findings about how well each vendor fulfills our criteria and where they stand in relation to each other to help eBusiness professionals select the right partner as they seek to develop and support alternative business models for both existing and new
products and services.
SAP Jam is a cloud-based social software platform that transforms the way people work by bringing together people, data, and decision-making capabilities when and where workers need them. In this Forrester Total Economic Impact (TEI) study commissioned by SAP, learn about the potential return on investment you can realize by deploying SAP Jam.
Gartner’s Critical Capabilities for Human Capital Management (HCM) evaluates solutions in the context of specific, important use cases and provides a comparative analysis. SAP SuccessFactors received highest use case scores for Core HR+Talent HCM Suites for Larger Global Org and European HQ’d Midmarket HCM Suite.
Technological advances are disrupting the status quo and bringing huge turmoil in their wake. Industries are converging, and new competitors emerging, as never before. The nature of work is changing and demand for digital expertise is soaring, while other skills are becoming defunct. So how can CHROs chart a path through the turbulence and help their fellow executives understand the impact on the workforce?
Companies are looking at technology as not just a disrupter, but also an enabler to transform their people, projects, and entire organizations into a highly adaptable and change-ready enterprise. In short, business leaders are realizing their new liquid workforce can become their new competitive advantage.
Culture has become one of the most important business topics of 2016. CEOs and HR leaders now recognize that culture drives people's behavior, innovation, and customer service: 82 percent of survey respondents believe that "culture is a potential competitive advantage." Knowing that leadership behavior and reward systems directly impact organizational performance, customer service, employee engagement, and retention, leading companies are using data and behavioral information to manage and influence their culture.
Employee engagement levels have been dropping for several years, and today they hover near all-time lows. This decline must be halted and reversed – because at the end of the day, business success comes down to a human equation. Companies can’t grow and thrive without the passion, innovation, and productivity their people bring to the business. Here are five practical, forward-looking steps you can take now, together with guidance on how you can use SAP® SuccessFactors® solutions to increase employee engagement.
Digital Winners are more likely than their peers to report strong revenue and profit growth and to employ happier, more engaged workers. View this infographic to learn why it pays to be a Digital Winner.
From its conception, this special edition has had a simple goal: to help SAP customers better understand SAP HANA and determine how they can best leverage this transformative technology in their organization. Accordingly, we reached out to a variety of experts and authorities across the SAP ecosystem to provide a true 360-degree perspective on SAP HANA.
This TDWI Checklist Report presents requirements for analytic DBMSs with a focus on their use with big data. Along the way, the report also defines the many techniques and tool types involved. The requirements checklist and definitions can assist users who are currently evaluating analytic databases and/or developing strategies for big data analytics.
For years, experienced data warehousing (DW) consultants and analysts have advocated the need for a well thought-out architecture for designing and implementing large-scale DW environments. Since the creation of these DW architectures, there have been many technological advances making implementation faster, more scalable and better performing. This whitepaper explores these new advances and discusses how they have affected the development of DW environments.
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 a more demanding end user and the opportunities presented by Big Data. Significant strategy shifts are under way to transform traditional data ecosystems by creating a unified view of the data terrain necessary to support Big Data and real-time needs of innovative enterprises companies.
Big data and personal data are converging to shape the internet’s most surprising consumer products. they’ll predict your needs and store your memories—if you let them. Download this report to learn more.
This white paper discusses the issues involved in the traditional practice of deploying transactional and analytic applications on separate platforms using separate databases. It analyzes the results from a user survey, conducted on SAP's behalf by IDC, that explores these issues.
The technology market is giving significant attention to Big Data and analytics as a way to provide insight for decision making support; but how far along is the adoption of these technologies across manufacturing organizations? During a February 2013 survey of over 100 manufacturers we examined behaviors of organizations that measure effective decision making as part of their enterprise performance management efforts. This Analyst Insight paper reveals the results of this survey.
This paper explores the results of a survey, fielded in April 2013, of 304 data managers and professionals, conducted by Unisphere Research, a division of Information Today Inc. It revealed a range of practical approaches that organizations of all types and sizes are adopting to manage and capitalize on the big data flowing through their enterprises.
In-memory technology—in which entire datasets are pre-loaded into a computer’s random access memory, alleviating the need for shuttling data between memory and disk storage every time a query is initiated—has actually been around for a number of years. However, with the onset of big data, as well as an insatiable thirst for analytics, the industry is taking a second look at this promising approach to speeding up data processing.
Over the course of several months in 2011, IDC conducted a research study to identify the opportunities and challenges to adoption of a new technology that changes the way in which traditional business solutions are implemented and used. The results of the study are presented in this white paper.
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