For financial business leaders and other c-level executives, moving away from unclear or ambiguous “improvements” to quantifiable measurements is crucial to the overall organization. Hard, meaningful data substantiates the execution of strategic, long-term business decisions. As technology is rapidly changing, executives can be challenged to find the right systems that drive business performance, provide competitive advantages, and increase the bottom line.
Published By: Paychex
Published Date: Apr 01, 2013
In order to control employee costs, you must first track and understand them. That's where a time and labor management system can help. Not only will you have the data you need to make cost-effective decisions, but you'll be able to determine the best way to optimize your workforce.
This white paper outlines the critical features and criteria recommended in selecting an effective time and labor management system.
Published By: Paychex
Published Date: Apr 01, 2013
Most business owners are familiar with the tasks involved in tracking employee time and attendance. Typically, this involves the collection of time sheets or cards, adding and approving time totals, and the calculation of data -- all of which are subject to error. What is not commonly understood is the extent to which automation can simplify and improve this essential business process.
This white paper outlines the strategic advantages of an automated time and labor management system for businesses and employees.
Six times a year, the HR Daily Advisor® research team conducts detailed research into pressing contemporary human resources (HR) challenges to highlight best practices and common policies and procedures. We access our exclusive database of more than 250,000 active HR practitioners to find out how HR managers are handling challenges in the real world.
Dear HR Practitioner,
You know that a Learning Management System (LMS) can bring value to your organization, but how do you make the business case to those outside of HR?
This is one of the most common hurdles that we hear at Halogen Software from our customers, so we thought it would make for a very interesting survey topic. Like you, we wanted to know how organizations are making their decisions around HR technology for learning, including:
• What role HR plays in the selection of the LMS,
• Which LMS features are most important,
• How organizations calculate the ROI of their LMS, and
• Whether learning content is created in-house
Good analysis and benchmarking of hotline data helps organizations answer crucial questions about their ethics and compliance program, including:
• Does our culture support employees who raise concerns?
• Are our communications with employees reaching the intended audiences and having the desired effect?
• Are our investigations thorough and effective?
• Do we need more training?
• Do we need to review or update our policies?
• Do employees know about our reporting channels?
Comparing internal data year over year to help answer these questions is important. But getting a broader perspective on how your performance matches up to industry norms is critical.
To help, each year NAVEX Global takes anonymized data collected through our hotline and incident management systems and creates this report.
For each benchmark provided in this report, you will find:
• A description of the benchmark
• Instructions on how to calculate the benchmark
• 2016 combined data for all industries in the N
The key to chemical and safety data sheet (SDS) compliance is not just having the right document, but also having the right chemical inventory. Knowing the what, when and where of chemical inventory across numerous facilities and thousands of chemicals can be daunting. The good news is that innovation in mobile technology is making that compliance challenge easier, resulting in more efficient and reliable OSHA HazCom compliance throughout multiple facilities.
In this case study from SafeTec Compliance Systems, an HSI company, learn how Cayuga Health System worked with SafeTec to streamline its chemical inventory process, which resulted in a more accurate chemical inventory, cost-effective HazCom compliance and peace of mind.
Bandwidth. Speed. Throughput. These terms are not interchangeable. They are
interrelated concepts in data networking that help measure capacity, the time
it takes to get from one point to the next and the actual amount of data
you’re receiving, respectively.
When you buy an Internet connection from Spectrum Enterprise, you’re buying
a pipe between your office and the Internet with a set capacity, whether it is
25 Mbps, 10 Gbps, or any increment in between. However, the bandwidth we
provide does not tell the whole story; it is the throughput of the entire system
that matters. Throughput is affected by obstacles, overhead and latency,
meaning the throughput of the system will never equal the bandwidth of your
The good news is that an Internet connection from Spectrum Enterprise is
engineered to ensure you receive the capacity you purchase; we proactively
monitor your bandwidth to ensure problems are dealt with promptly, and
we are your advocates across the Internet w
Businesses who have lived through the evolution of the digital age are well aware that we’ve
experienced a generational shift in technology. The rise of software as a service (SaaS),
cloud, mobile, big data, the Internet of Things (IoT), social media, and other technologies
have disrupted industries and changed customers’ expectations. In our always-on, buy
anything anywhere world, customers want their shopping experiences to be personalized,
dynamic, and convenient.
As a result, many businesses are trying to reinvent themselves. Success in a fast-paced
economy depends on continually adapting and innovating. Companies have to move quickly
to keep up; there’s no time for disjointed technologies and old systems that don’t serve the
customer-obsessed mentality needed to thrive in the digital age.
Whether your company has been selling online for 20 minutes or 20 years, you are
undoubtedly familiar with the PCI DSS (Payment Card Industry Data Security Standard). It
requires merchants to create security management policies and procedures for safeguarding
customers’ payment data.
Originally created by Visa, MasterCard, Discover, and American Express in 2004, the PCI DSS
has evolved over the years to ensure online sellers have the systems and processes in place
to prevent a data breach.
It’s no secret financial services organizations own and operate legacy solutions. Some of these core processes are front and center, meeting customer needs; others are in the middle, supporting account handling operations; and still many more are in the back-office, handling data and managing analytics. The challenge for financial leaders is to ensure these traditional systems don’t prevent the delivery of great digital experiences now and into the future.
To find out more download this eBook today.
Technology plays a key role in online shopping, where online retailers gain a greater understanding of their customers through data from their browsing and purchasing habits. Today, when consumers shop in brick-and-mortar stores, they expect the same personalized and responsive service.
To help retailers achieve this level of service, a combination of hardware and software—Intel® Vision Accelerator Design products, cameras, AI deep learning video analysis technology— do the work for you.
Uncover how Advantech system uses the Intel Vision Accelerator Design with Intel Movidius VPU to drive
• Overall store performance such as the number of visitors and transactions, point-of-sale data, sales per shopper and the store’s ranking, and can distinguish traffic patterns by weather and time of day
• Traffic and sales analysis for better staff allocation and marketing-event planning
• Store heatmap analysis for more precise merchandise placement and product promotion
Advanced image analysis and computer vision are key components of today’s AI revolution and is becoming critical for a wide range of industry applications, including healthcare, where this technology is being used to detect anomalies and improve patient care. Due to a lack of integrated tools and experience with these cutting-edge technologies, however, deploying complete systems is difficult.
Applications that utilize deep learning approaches often require large amounts of highly parallel compute power, storage, and networking capabilities, along with performance optimizations for faster data analysis. The Intel and QNAP/IEI solution combines all these elements in one complete system for scalable data management for hospitals and clinics of all sizes.
Read more on Intel’s and QNAP/IEI’s real-world use case on macular degeneration analysis through high-performance computing, vision capabilities, storage, and networking in a single solution.
Published By: Lookout
Published Date: Dec 13, 2018
The world has changed. Yesterday everyone had a managed PC for work and all enterprise data was behind a firewall. Today, mobile devices are the control panel for our personal and professional lives. This change has contributed to the single largest technology-driven lifestyle change of the last 10 years.
As productivity tools, mobile devices now access significantly more data than in years past. This has made mobile the new frontier for a wide spectrum of risk that includes cyber attacks, a range of malware families, non-compliant apps that leak data, and vulnerabilities in device operating systems or apps. A secure digital business ecosystem demands technologies that enable organizations to continuously monitor for threats and provide enterprise-wide visibility into threat intelligence.
Watch the webinar to learn more about:
What makes up the full spectrum of mobile risks
Lookout's Mobile Risk Matrix covering the key components of risk
How to evolve beyond mobile device management
Published By: Lookout
Published Date: Mar 28, 2018
Mobile devices have rapidly become ground zero for a wide spectrum of risk that includes malicious targeted attacks on devices and network connections, a range of malware families, non-compliant apps that leak data, and vulnerabilities in device operating systems or apps.
Read the four mobile security insights CISOs must know to prepare for a strategic conversation with the CEO and board about reducing mobile risks and the business value associated with fast remediation of mobile security incidents.
DevOps allows teams to effectively build, test, release, and respond to your software. But creating an agile, data-driven culture is easier said than done. Developer and devops teams struggle with lack of visibility into application monitoring tools and systems, accelerated time-to-market pressure, and increased complexity throughout the devops lifecycle process. As a Splunk customer, how are you using your machine data platform to adopt DevOps and optimize your application delivery pipeline?
Download your copy of Driving DevOps Success With Data to learn:
How machine data can optimize your application delivery
The four key capabilities DevOps teams must have to optimize speed and customer satisfaction
Sample metrics to measure your DevOps processes against
Published By: Workday
Published Date: Sep 19, 2018
The data deluge problem isn’t just about the amount
of internal, operational data being stored, but also the
level of granularity available. The finance and HR teams
of many institutions still operate on outdated systems
that are only able to store aggregate data with complex
details summarized. While these systems may be
sufficient for the purpose of financial reporting, they’re
unable to keep up with the level of complexity needed
to drive business decisions.
Deep learning opens up new worlds of possibility in artificial intelligence, enabled by advances in computational capacity, the explosion in data, and the advent of deep neural networks. But data is evolving quickly and legacy storage systems are not keeping up. Read this MIT Technology Review custom paper to learn how advanced AI applications require a modern all-flash storage infrastructure that is built specifically to work with high-powered analytics, helping to accelerate business outcomes for data driven organizations.
Advances in deep neural networks have ignited a new wave of algorithms and tools for data scientists to tap into their data with artificial intelligence (AI). With improved algorithms, larger data sets, and frameworks such as TensorFlow, data scientists are tackling new use cases like autonomous driving vehicles and natural language processing. Read this technical white paper to learn reasons for and benefits of an end-to-end training system. It also shows performance benchmarks based on a system that combines the NVIDIA® DGX-1™, a multi-GPU server purpose-built for deep learning applications and FlashBlade, a scale-out, high performance, dynamic data hub for the entire AI data pipeline.
Published By: MuleSoft
Published Date: Nov 27, 2018
Traditional insurers are no longer safe with insurtechs challenging incumbents to rethink their business and operating models. This mass disruption creates increased pressure on IT to deliver intrinsic business value, including new services, customer touchpoints, and experiences. Successful insurance transformation requires rethinking the traditional IT operating model to allow IT to focus on creating reusable assets that empower lines of business. Doing so increases IT’s delivery capacity, making businesses more agile.
Read this whitepaper to learn:
An overview of the challenges insurers are facing in the industry.
How a new IT operating model – API-led connectivity – allows IT teams to unlock data from legacy systems and drive reuse across the enterprise.
Strategies for using APIs to create a single view of the customer and build connected customer experiences.
A recent survey of CIOs found that over 75% want to develop an overall information strategy in the next three years, yet over 85% are not close to implementing an enterprise-wide content management strategy. Meanwhile, data runs rampant, slows systems, and impacts performance. Hard-copy documents multiply, become damaged, or simply disappear.
There’s no getting around it. Passed in May 2016, the European Union (EU) General Data Protection Regulation (GDPR) replaces the minimum standards of the Data Protection Directive, a 21-year-old system that allowed the 28 EU member states to set their own data privacy and security rules relating to the information of EU subjects. Under the earlier directive, the force and power of the laws varied across the continent. Not so after GDPR went into effect May 25, 2018.
Under GDPR, organizations are subject to new, uniform data protection requirements—or could potentially face hefty fines. So what factors played into GDPR’s passage?
• Changes in users and data. The number, types and actions of users are constantly increasing. The same is true with data. The types and amount of information organizations collect and store is skyrocketing. Critical information should be protected, but often it’s unknown where the data resides, who can access it, when they can access it or what happens once
In the broadening data center cost-saving and energy efficiency discussion, data center physical infrastructure preventive maintenance (PM) is sometimes neglected as an important tool for controlling TCO and downtime. PM is performed specifically to prevent faults from occurring. IT and facilities managers can improve systems uptime through a better understanding of PM best practices.
Learn how CIOs can set up a system infrastructure for their business to get the best out of Big Data. Explore what the SAP HANA platform can do, how it integrates with Hadoop and related technologies, and the opportunities it offers to simplify your system landscape and significantly reduce cost of ownership.
Published By: Cisco EMEA
Published Date: Nov 13, 2017
The HX Data Platform uses a self-healing architecture that implements data replication for high availability, remediates hardware failures, and alerts your IT administrators so that problems can be resolved quickly and your business can continue to operate. Space-efficient, pointerbased snapshots facilitate backup operations, and native replication supports cross-site protection. Data-at-rest encryption protects data from security risks and threats. Integration with leading enterprise backup systems allows you to extend your preferred data protection tools to your hyperconverged environment.
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.