Published By: Workday
Published Date: Sep 17, 2018
In this Argyle Executive Forum webinar replay, leading HR executives across industries provide expert insight and recommendations for building an analytics strategy and putting a data foundation in place.
Published By: Workday
Published Date: Sep 17, 2018
Providing all employees with easy, timely access to information is critical in today’s business landscape. Discover how a cloud-based system gives you a single source of truth, across the entire business, so you get data that’s trustworthy, actionable, and available in real time.
In this book, we are going to look at the key trends driving the modernization of data infrastructure. We’ll see how organizations are adapting and flourishing in a data-driven world. For some time, headlines have been around the internet of things (IoT),
big data and data analytics. While these developments are important, the reality is that you cannot take full advantage of them without modernization. We’re going to look at these trends and priorities in detail, then look at the three key drivers of modernization: governance, mobilization and analytics. We’ll also consider the technologies that make up modern data infrastructure including artificial intelligence (AI), flash storage, converged and hyperconverged platforms and software-defined infrastructures. By making sense of data, we make sense of the world. With more data than ever before, we have the tools to turn all that information into intelligent innovation and change the way the world works.
To stay ahead of the competition in a global marketplace, firms are increasingly speeding up operations, in many cases adopting real-time systems and tools to allow for instant decision-making and faster business cycles. Download here to learn how.
Published By: Sitecore
Published Date: Nov 04, 2009
This report highlights the strategic value of a next generation web content management system integrated with lead scoring, email marketing, customer relationship management, and web analytics. The report links the technology and practices of Best-in-Class organizations to engage customers, provide personalized experiences and manage the lead lifecycle.
Published By: Sitecore
Published Date: Jan 06, 2009
This guide offers insight into the WCM technology choices available today, discusses some of the requirements both IT and business users should consider when selecting a WCM solution, and includes advice for ensuring a successful evaluation process.
Published By: Sitecore
Published Date: Jul 08, 2009
This whitepaper discusses the need to target outcomes and focus on building a complete, 360-degree view of your customers -- who they are, where they came from, what they do, and how you can best meet their needs.
This white paper examines the true costs associated with the Tagging of websites to implement and track the performance of online marketing technologies such as web analytics, display ad serving and search marketing. This research was conducted by TagMan, a smart container tag with real-time attribution and web-page acceleration.
Published By: Skillsoft
Published Date: Sep 25, 2013
HR execs are not finding their budgets rising at the same levels as their workforce requirements. By 2020, the global labor market faces a shortage of 38-40 million college educated workers and 45 million secondary educated workers1. Despite the change catalyst that the mounting crisis demands, many organizations have not adjusted their strategies. Why would an organization race to develop skills by investing the same portion of their budget in classroom approaches and build training that they could buy? To help organizations find a smarter way out of the talent crisis, the Director of Research at the world’s leading learning analytics firm compared the results of Skillsoft elearning to classroom and internally developed elearning benchmarks. The results were clear; Skillsoft provides a solid answer to the global talent imperative.
Marketing is evolving and B2B Marketers that fail to embrace this change will become irrelevant. While shocking to some, this perspective is not new; it's simply becoming increasingly apparent to the B2B marketing community.
Digital transformation is not a buzzword. IT has moved from the back office to the front office in nearly
every aspect of business operations, driven by what IDC calls the 3rd Platform of compute with mobile,
social business, cloud, and big data analytics as the pillars. In this new environment, business leaders
are facing the challenge of lifting their organization to new levels of competitive capability, that of
digital transformation — leveraging digital technologies together with organizational, operational, and
business model innovation to develop new growth strategies. One such challenge is helping the
business efficiently reap value from big data and avoid being taken out by a competitor or disruptor
that figures out new opportunities from big data analytics before the business does.
From an IT perspective, there is a fairly straightforward sequence of applications that businesses can
adopt over time that will help put direction into this journey. IDC outlines this sequence to e
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-
Published By: TalentWise
Published Date: Jan 20, 2014
Start off the New Year by reviewing key HR trends for 2014. Our brief whitepaper offers insights into what's hot for HR this year, including:
- Mobile-friendly solutions
- Talent analytics
- Social tools
Plus, find out what trends (hello, stack-ranking!) are out for 2014. Read our whitepaper and discover what’s trending for HR hiring in 2014.
You may know some data management basics, but are you aware of the transformational results that can result from doing data management right? This paper explains core data management capabilities, then describes how a solid data management foundation can help you get more out of your data.
Fraudsters are only becoming smarter. How is your organization keeping pace and staying ahead of fraud schemes and regulatory mandates to monitor for them? In this e-book, learn the basics in how to prevent fraud, achieve compliance and preserve security.
When designed well, a data lake is an effective data-driven design pattern for capturing a wide range of data types, both old and new, at large scale. By definition, a data lake is optimized for the quick ingestion of raw, detailed source data plus on-the-fly processing of such data for exploration, analytics and operations. Even so, traditional, latent data practices are possible, too.
Organizations are adopting the data lake design pattern (whether on Hadoop or a relational database) because lakes provision the kind of raw data that users need for data exploration and discovery-oriented forms of advanced analytics. A data lake can also be a consolidation point for both new and traditional data, thereby enabling analytics correlations across all data.
To help users prepare, this TDWI Best Practices Report defines data lake types, then discusses their emerging best practices, enabling technologies and real-world applications. The report’s survey quantifies user trends and readiness f
Machine learning systems don’t just extract insights from the data they are fed, as traditional analytics do. They actually change the underlying algorithm based on what they learn from the data. So the “garbage in, garbage out” truism that applies to all analytic pursuits is truer than ever.
Few companies are already using AI, but 72 percent of business leaders responding to a PWC survey say it will be fundamental in the future. Now is the time for executives, particularly the chief data officer, to decide on data management strategy, technology and best practices that will be essential for continued success.
“Unpolluted” data is core to a successful business – particularly one that relies on analytics to survive. But preparing data for analytics is full of challenges. By some reports, most data scientists spend 50 to 80 percent of their model development time on data preparation tasks. SAS adheres to five data management best practices that help you access, cleanse, transform and shape your raw data for any analytic purpose. With a trusted data quality foundation and analytics-ready data, you can gain deeper insights, embed that knowledge into models, share new discoveries and automate decision-making processes to build a data-driven business.
With the amount of information in the digital universe doubling every two years, big data governance issues will continue to inflate. This backdrop calls for organizations to ramp up efforts to establish a broad data governance program that formulates, monitors and enforces policies related to big data. Find out how a comprehensive platform from SAS supports multiple facets of big data governance, management and analytics in this white paper by Sunil Soares of Information Asset.
With the widespread adoption of predictive analytics, organizations have a number of solutions at their fingertips. From machine learning capabilities to open platform architectures, the resources available to innovate with growing amounts of data are vast.
In this TDWI Navigator Report for Predictive Analytics, researcher Fern Halper outlines market opportunities, challenges, forces, status and landscape to help organizations adopt technology for managing and using their data. As highlighted in this report, TDWI shares some key differentiators for SAS, including the breadth and depth of functionality when it comes to advanced analytics that supports multiple personas including executives, IT, data scientists and developers.
Risks have intensified as retailers and financial organizations embrace new technologies to meet customer demands for convenience. The rise of mobile and online transactions introduces new risks – and with that, new requirements for fraud mitigation. This paper discusses key steps for fighting back against fraud risk by establishing appropriate and accurate data, analytics and alert management.
Fraudsters are only becoming smarter. How is your organization keeping pace and staying ahead of fraud schemes and regulatory mandates to monitor for them? Technology is redefining what’s possible in fighting fraud and financial crimes, and SAS is at the forefront, offering solutions to:
• Protect from reputational, regulatory and financial risks.
• Reduce the cost of fraud and financial crimes prevention.
• Gain a holistic view of risk across functions.
• Include cyber events in regulatory report filings.
In this e-book, learn the basics in how to prevent fraud, achieve compliance and preserve security. SAS fraud solutions use advanced analytics and artificial intelligence to help your organization better detect and prevent fraud. By applying analytics and powerful machine learning on a unifying platform, SAS helps organizations around the globe detect more financial offenses, reduce false positives and run more efficient investigations.
Published By: Mindfire
Published Date: May 07, 2010
In this report, results from well over 650 real-life cross-media marketing campaigns across 27 vertical markets are analyzed and compared to industry benchmarks for response rates of static direct mail campaigns, to provide a solid base of actual performance data and information.
Successful business in the 21st century is based on data: gathering it, managing it, leveraging it. The importance of data to create efficient and effective operations has grown exponentially in just a few years, tracking alongside the rapid proliferation of devices and the technological breakthroughs in networks and connectivity. Concepts like the Internet of Things (IoT) or Industry 4.0 have become as routine to EHS managers as duties related to employee health and safety.
However, while EHS managers may understand the essence of big data, putting those ideals into practice is a much harder task. The sheer amount of data generated and collected is the greatest barrier.
Want to learn more? Download our free paper today!