The quick-service restaurant industry continues to be a favorite among consumers who look to the sector for a wide variety of food served quickly and at a low price. The speed and efficiency of QSRs, which include the emergent “fast casual” restaurants, match today’s on-the-go lifestyle of consumers across all ages who often are too busy to cook at home.
That said, consumers expect their dining experience at a QSR to be comfortable with conveniences ranging from WiFi connectivity to ordering kiosks and dining area entertainment on large screens or even tableside tablets. They expect the information on menu boards to be accurate and up-to-date and their meal orders to be fulfilled quickly and accurately. Technology is a major enabler in meeting consumers’ expectations while simultaneously helping QSR locations increase operational efficiencies and quality of service.
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.
Technology should empower payroll to become a more strategic asset, not act as a barrier. By adopting the following payroll best practices, your organization can become more efficient and cut costs without adding complexity, and leverage the full potential of payroll by shifting the burden from administrative tasks to strategic goals.
Every day, companies generate mountains of data that are critical to their business. With that data comes
a clear challenge: How do you protect exabytes of data that's strewn across global data centers,
computer rooms, remote offices, laptops, desktops, and mobile devices, as well as hosted by many
different cloud providers, without choking business agility, employee productivity, and customer
experience? The solution lies not in throwing more technology at the network, but in taking specific steps
to identify malicious actions and respond to them in order to fix the issue, a process known as
Achieving effective and efficient high availability protection for larger IBM i environments requires careful thought and clear understanding of the technology options. This white paper describes what you need to know in order to make an informed decision about IBM i high availability strategies so that your business requirements for Recovery Time Objective (RTO) and Recovery Point Objective (RPO) are not compromised
Published By: Airfoil PR
Published Date: Apr 21, 2010
In our latest Point of View, "The Dirtiest Word In Business," Airfoil has assembled a collective set of best practices to help technology marketers meet the communications challenges of a new digital decade.
Published By: Skillsoft
Published Date: Oct 01, 2013
Learning is critical to enabling business strategy, from onboarding new hires to developing future leaders, to educating channel partners and customers. This study, based on responses collected from 185 organizations between July and September 2013, looks at how organizations connect learning to business priorities, create development programs that impact every stage of the employee lifecycle and utilize technology to support learning initiatives. It also examines the business impact of building learning capability and running effective learning programs. Research conducted by Aberdeen Group and brought to you thanks to Skillsoft.
Published By: AuditBoard
Published Date: Nov 26, 2018
AuditBoard’s OpsAudit platform is the only-purpose built audit technology, built for auditors, by auditors. Whereas other solutions in the GRC market are a “mile wide and an inch deep,” AuditBoard’s OpsAudit encompasses and streamlines all of the nuances associated with carrying out a world-class internal audit department. AuditBoard’s ease of use allows for auditors to spend all of their time with their audit customers and on their audit work, without suffering through administrative tasks or technology problems.
Published By: Asure HR
Published Date: Nov 18, 2013
In the past decade, time and attendance technology has advanced rapidly, making it difficult for organizations to maximize
the benefits that time and attendance solutions now provide.
The following ten signs will help you spot areas where your time and attendance system may be failing you and your
Published By: Asure HR
Published Date: Nov 18, 2013
Improper data management of sensitive data such as employee files, time records, and payroll information has the potential to cost corporations and institutions millions each year in auditing expenses, security concerns, tax violations and legal disputes with employees.
This paper discusses how time management software can resolve the problem, and what the next steps to implementing this technology are.
Published By: Asure HR
Published Date: Nov 18, 2013
Improving workforce productivity is near the top of every organization’s “To-Do List”, but a surprisingly low percentage of companies feel confident that they are performing well in their workforce optimization efforts.
This white paper will provide you with an indepth analysis of the top 8 ways you can improve your workforce productivity using the latest advances in HR technology.
Despite heavy, long-term investments in data management, data problems at many organizations continue to grow. One reason is that data has traditionally been perceived as just one aspect of a technology project; it has not been treated as a corporate asset. Consequently, the belief was that traditional application and database planning efforts were sufficient to address ongoing data issues.
As our corporate data stores have grown in both size and subject area diversity, it has become clear that a strategy to address data is necessary. Yet some still struggle with the idea that corporate data needs a comprehensive strategy.
There’s no shortage of blue-sky thinking when it comes to organizations’ strategic plans and road maps. To many, such efforts are just a novelty. Indeed, organizations’ strategic plans often generate very few tangible results for organizations – only lots of meetings and documentation. A successful plan, on the other hand, will identify realistic goals along with a r
Data integration (DI) may be an old technology, but it is far from extinct. Today, rather than being done on a batch basis with internal data, DI has evolved to a point where it needs to be implicit in everyday business operations. Big data – of many types, and from vast sources like the Internet of Things – joins with the rapid growth of emerging technologies to extend beyond the reach of traditional data management software. To stay relevant, data integration needs to work with both indigenous and exogenous sources while operating at different latencies, from real time to streaming. This paper examines how data integration has gotten to this point, how it’s continuing to evolve and how SAS can help organizations keep their approach to DI current.
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.
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.
Because terrorists and other criminals are already using technology to carry out their missions, intelligence professionals need to access all available, appropriate information, to extract important elements and process, analyze and disseminate it quickly to keep ahead of potential threats. The scale, complexity and changing nature of intelligence data can make it impossible to stay in front without the aid of technology to collect, process and analyze big data. This paper describes a solution for how this information can be quickly and safely shared with access based on a user's organizational responsibilities and need to know.
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: Zynapse
Published Date: Jun 16, 2010
Data Governance has emerged as the point of convergence for people, technology and process in order to manage the crucial data (information) of an enterprise. This is a vital link in the overall ongoing data management process for it maintains the quality of data and makes it available to a wide range of decision making hierarchy across an organization
Published By: StoryDesk
Published Date: Jan 04, 2013
What makes for a winning iPad presentation app for sales teams? How can interactivity keep prospects' attention focused? How can you use technology to make your message more memorable? Learn the answers to these questions and more.