By analyzing and reporting on the full range of human capital management (HCM) data, business intelligence (BI) uncovers the insights executives need for smarter staffing, planning, and budgeting decisions.
With the right metrics, HR can not only deliver additional value, savings, and increased productivity to the business, but also can more clearly articulate to the CEO and executive team the vital role HR plays in business success.
DATA AND INSIGHTS TO ADD VALUE TO YOUR PROGRAM TODAY
In 2016, NAVEX Global partnered with an independent research firm to survey E&C professionals from a wide range of industries
about their approach to policy management.
The findings represent responses from over 1,000 respondents globally, with nearly half in c-suite or senior management roles.
This report provides insights to questions such as:
»» What are organizations doing to address
policy management today?
»» What are top policy management challenges?
»» In what areas of policy management are
organizations excelling or struggling?
»» What approaches are organizations taking
towards automating policy management?
»» Are organizations satisfied with their current
approach to policy management?
»» How will policy
DATA AND INSIGHTS TO GET MORE VALUE FROM YOUR PROGRAM
Most organizations have compliance training programs in place today. In most cases, these
programs are pursued to both protect the organization and to help build a culture of ethics and respect. Yet too many programs stagnate and lose effectiveness as learner fatigue grows, content ages and key measurements and strategic targets are missed. The compliance training
marketplace demands more current, diverse and compelling training and educational content designed for learners across the organization.
This report will help you:
• Access the information you need to evaluate the quality and effectiveness of your own
• training program—and whether your program is protecting the organization or putting it at risk
• Gain ideas from your peers for improving your own training program
• Pinpoint areas in which your program may need to grow or evolve
• Benchmark your training program against industry norms and best practices
• Leverage our da
Published By: Silkroad
Published Date: Aug 01, 2017
The Sources of Hire Report is back for 2017 and is more comprehensive than ever, covering more than 14 million applications, 655,000 interviews, and 329,000 hires. The job market is back—and so is increased competition for top candidates.
Get ahead by starting where the candidate journey begins.
Download this report to learn data-driven insights, including:
Internal vs. external sources
Online vs. offline sources
Top 5 branded job boards
Hot issues and best practices
Published By: Tiny Pulse
Published Date: Jan 30, 2017
FREE CUSTOMIZED EMPLOYEE ENGAGEMENT REPORT
...for your organization conducted by TINYpulse Employee Engagement Consultants.
Knowing and understanding employee happiness can be difficult. But with a custom survey from TINYpulse, you can get a gauge on this data and start making a meaningful difference in your employees’ lives.
This is how it will work:
• TINYpulse will personally work with you to deploy a pulse survey that will help you better understand how happy and engaged your employees are at work.
• You can select from a number of default questions, like “On a Scale of 1 to 10, how likely would you refer someone to work here?” You can also add your own custom questions.
• The suggestions and feedback received from your employees will remain anonymous, for their benefit and yours.
• Once your employees have responded to the pulse survey, TINYpulse will walk with you through the data to give you a custom engagement report that provides insights into the current state of yo
Do you know your people as well as you know your customers? Your people’s expectations and the way they work is changing. Employees are more diverse, mobile and technologically-savvy than ever before. HR processes are changing from focusing on transactions to knowing and engaging people. Just as sales and marketing teams use data to develop actionable and informed insights about their customers, you need to do the same in HR to know your people. Everything, from attracting and keeping the best talent, to creating better workplace experiences and increasing employee engagement and productivity, depends on smarter decisions. These in turn rely on more actionable insights. These are only possible through accurate HR data and analytics. They are vital to address the people challenges you face, so you can make smarter decisions.
For increasing numbers of organizations, the new reality for development, deployment and delivery of applications and services is hybrid cloud. Few, if any, organizations are going to move all their strategic workloads to the cloud, but virtually every enterprise is embracing cloud for a wide variety of requirements.
To accelerate innovation, improve the IT delivery economic model and reduce risk, organizations need to combine data and experience in a cognitive model that yields deeper and more meaningful insights for smarter decisionmaking. Whether the user needs a data set maintained in house for customer analytics or access to a cloud-based data store for assessing marketing program results — or any other business need — a high-performance, highly available, mixed-load database platform is required.
Published By: Genesys
Published Date: Feb 21, 2018
Routing is a fundamental component of your customer experience strategy. True omnichannel routing breaks down channel silos and gathers intelligence upfront through context and data to deliver the personalized, seamless engagement your customers now expect.
Learn how you can move beyond single interactions with true omnichannel routing:
• Dynamically match customers from any touchpoint, over any channel, to the agent with the optimal insights, skill set and proficiency
• Enable seamless transitions between digital self-service and live employee contact
• Replace single, random interactions with thoughtfully designed and optimized customer journeys
See how you can turn data into actionable insights with predictive analytics. Take our brief assessment to learn which analytical capabilities will enable you to find the greatest value in your data and make confident, accurate business decisions.
The role of analytics in managing, improving and ultimately transforming supply chains cannot be understated. But what about the analytics themselves? FICO’s Zahir Balaporia and renowned author Tom Davenport use the term “The Analytics Supply Chain” to reflect that the actual analytics themselves parallel supply chains, with inherent challenges and problems if things “get stuck.” Rethinking analytics in these terms can not only improve supply chain performance, but also any other business problems you seek to solve.
This article targets:
· Steps in the analytics supply chain and the vital role of data and analytic models
· How your predictions, recommendations and insights need to rely on similar attributes to finished manufactured products;
· Key questions to ask yourself in determining where you need to fix your analytics supply chain.
As they face numerous regulations, enterprises believe data privacy can create a competitive advantage. But are they ready for the new General Data Protection Regulation (GDPR)? Here are the concerns and strategies of 800+ senior executives from industries around the world.
Data in a Turbulent World Nearly half of organizations say they will migrate data as a result of regulation or changing government policies.
Data Protection as a Competitive Advantage A significant majority of respondents believe proper data protection will attract new customers.
Download our full report, Beyond GDPR: Data residency insights from around the world.
For data scientists and business analysts who prepare data for analytics, data management technology from SAS acts like a data filter – providing a single platform that lets them access, cleanse, transform and structure data for any analytical purpose. As it
removes the drudgery of routine data preparation, it reveals sparkling clean data and adds value along the way. And that can lead to higher productivity, better decisions and greater agility.
SAS adheres to five data management best practices that support advanced analytics
and deeper insights:
• Simplify access to traditional and emerging data.
• Strengthen the data scientist’s arsenal with advanced analytics techniques.
• Scrub data to build quality into existing processes.
• Shape data using flexible manipulation techniques.
• Share metadata across data management and analytics domains.
Published By: Verisign
Published Date: May 31, 2017
Verisign has a unique view into distributed denial of service (DDos) attack trends, including attack statistics, behavioral trends and future outlook. The below data contains observations and insights about attack frequency and size derived from mitigations enacted on behalf of customers of Verisign DDoS Protection Services from January through March 2017.
Big data and analytics is a rapidly expanding field of information technology. Big data incorporates technologies and practices designed to support the collection, storage, and management of a wide variety of data types that are produced at ever increasing rates. Analytics combine statistics, machine learning, and data preprocessing in order to extract valuable information and insights from big data.
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.