The results of a 2016 study on employee burnout conducted by Kronos and Future Workplace show that 95 percent of HR leaders agree that burnout affects employee retention. Although serious, the issue of burnout isn’t insurmountable if organizations are proactive in addressing its causes. The implementation of new workforce technology with flexible scheduling capabilities and workforce analytics can help stop burnout before it starts.
Published By: FICO EMEA
Published Date: Jan 25, 2019
Communications service providers (CSPs) have long recognized the potential of data analytics. Yet their early efforts to pull actionable intelligence from the oceans of data they have access to were largely unsuccessful. Many tried a 'big bang' approach to building a central repository without knowing what they wanted to do with the data in it. The arrival of artificial intelligence (AI) – its machine learning subset in particular – has changed their thinking and approach.
For this Quick Insights report, we surveyed 64 professionals from CSPs around the world who are applying, leveraging and/ or planning to deploy advanced analytics in some capacity at various points across the customer lifecycle.
Published By: Genesys
Published Date: Jun 19, 2019
Successfully managing a contact center requires a collaborative, multidisciplinary approach to handle a broad range of operational and tactical tasks. Planning, day-to-day operations and quality management must be seamlessly orchestrated, along with human resources functions like recruitment, learning and development, and employee scheduling.
Read this executive brief to learn how to transition to an AI strategy that can take your team – and business results – to the next level. See how you can:
Create an AI strategy with a single data model that includes routing, interaction analytics, forecasting/scheduling and predictive engagement
Harness the power of your data to align customers with the best resource
Drive employee effectiveness by ensuring you hire the right people and manage their performance to drive their success over the long term
Published By: Aon Hewitt
Published Date: Aug 02, 2016
As the trend of moving to the Cloud continues to flow from business function to business function, other trends are emerging. As organizations transform to eliminate complex functions, standardize and integrate systems to reduce costs, and minimize nonvalue add activities, they are challenging themselves to get the most from their investment. The shift from transactional to strategic, and from reporting to actionable and predictive analytics, positions companies for growth like never before. Many organizations look to break down silos, not only within their company but also within their industries, to share lessons and leverage efficiencies from others’ learnings. Our recommendation is to start by breaking down any silos that exist between finance, HR, and IT within your organization today—and discover what moving to cloud and truly adopting the SaaS lifestyle can do for your organization.
The purpose of this white paper is to provide organizations with a four step roadmap that details how organizations can use VoC to make Product Management more customer-centric and significantly increase the odds of consistently delivering products that are successful in the marketplace.
In today's big data digital world, your organization produces large volumes of data with great velocity. Generating value from this data and guiding decision making require quick capture, analysis and action. Without strategies to turn data into insights, the data loses its value and insights become irrelevant. Real-time data inegration and analytics tools play a crucial role in harnessing your data so you can enable business and IT stakeholders to make evidence-based decisions
In search of the moment when consumer engagement is at its highest, brands have chosen to focus on search and
social media. But – as this study proves – the rush of retail therapy is no myth, with the process of shopping making
consumers considerably happier and more receptive than other online activities.
This report explores the mindset individuals experience when shopping – the Transaction MomentTM. As uncovered
in this research, this mindset presents a much sought after and undiscovered opportunity in digital customer
acquisition. It has been well documented that the thrill of making a purchase causes a rush1
of dopamine, resulting
in a powerful sense of achievement that leaves consumers open to buy again.
This conclusion is supported by Rokt analytics — which reveals consumers are up to 7x more likely to engage
with related offers in the Transaction Moment. This report and findings are relevant to many in the marketing and
e-commerce industry. Whether the objective is to acquire
How a contact center deploys and manages eServices - non-voice interaction channels such as email, chat, SMS and social media - is the key to offering electronic services that attract modern tech-savvy customers. Learn about eServices best practices from Sheila McGee-Smith, founder of McGee-Smith Analytics, and Tim Passios, Director of Solutions Marketing at Interactive Intelligence, and how three diverse companies successfully utilize eServices to their advantage.
Forrester names Adobe as a Leader in customer analytics, according to the Forrester Wave: Customer Analytics Solutions, Q2 2018 report.
• We’re a Leader. But we won’t stop there. Adobe Analytics provides a superior product, executive vision, and strategy. We understand the needs of today’s marketers and customer insights professions, while staying ahead
of the curve on future analytics trends.
• Adobe Analytics fuels insight-driven customer experiences. Adobe has turned its mantra of “Make Experience Your Business” inward, by developing a marketer-friendly solution that doesn’t skimp on advanced analytical functionality.
• Adobe Analytics excels at real-time conversion of insights into action, superior usability, and AI-powered customer journey analytics.
• Adobe Analytics’ capabilities, such as Virtual Analyst, powered by Adobe Sensei, use artificial intelligence and machine learning to identify anomalies, contributing factors, and segment differences. What
Companies with a cohesive strategy for integrating digital and physical elements can successfully transform their business models - and set new directions for entire industries. To find out how to transform your business model to capitalize on today's digital age, download this executive report.
Physicians and their patients, medical policy makers and licensing boards, pharmaceutical companies and pharmacies all must work together to stem the opioid epidemic and achieve the fundamental objectives of reducing addiction and deaths. With so many players and data sources, today’s information is partial, fragmented, and often not actionable. We don’t have the data to understand what’s happening, to adjust policy, and to motivate physicians and patients to change their behaviors.
Better data and analytics can help develop better treatment protocols, both for pain in the first place and for remediation when patients are becoming dependent on the drugs.
"The Industrial Internet of Things (IIoT) is flooding today’s industrial sector with data. Information is streaming in from many sources — equipment on production lines, sensors at customer facilities, sales data, and much more. Harvesting insights means filtering out the noise to arrive at actionable intelligence. This report shows how to craft a strategy to gain a competitive edge. It explains how to evaluate IIoT solutions, including what to look for in end-to-end analytics solutions. Finally, it shows how SAS has combined its analytics expertise with Intel’s leadership in IIoT information architecture to create solutions that turn raw data into valuable insights.
With customer analytics-including predictive analytics, social analytics, business intelligence, and decision management-companies are empowered to improve the customer experience and maximize business outcomes by being proactive, rather than reactive. Comments made in social channels about a perceived problem with a checkout tool on a company's website, for example, can alert company decision-makers about a potential issue before it hits the contact center.
View this demo to find out how IBM SPSS® solutions for predictive customer analytics can deliver deep customer insights that help you tune your marketing efforts-effectively and efficiently attracting new customers, nurturing customer relationships and retaining ideal customers. Watch how IBM SPSS software uses existing customer information to help you do the following: Identify your best customers for targeted marketing programs with customer segmentation, cluster and profiling techniques; confidently predict which customers will respond to your offers with powerful predictive models; get more out of every customer interaction by delivering real-time, predictive intelligence to front-line decision makers; and enrich and deepen your customer insight with social media analytics.
This brief video shows how advanced analytics can incorporate survey methods designed to help you with every aspect of survey research - everything from gathering the data, to data analysis, to reporting.
To help organizations in their pursuit for deeper customer insight, we have identified four stages of organizational capabilities, which are enabled by four associated customer analytics strategies. Read to find out more.
This paper discusses the challenges of managing applications in highly dynamic IT environments such as public and private Clouds. Modern enterprise applications are engineered for agility and are frequently deployed over flexible IT infrastructures.
Tools for extracting actionable insights from growing mounds of data are becoming smarter and easier to use.
Organizations are awash in data generated by customers, supply chain partners and numerous other humanand machine-based sources. With the growth of the Internet of Things (IoT) starting to churn out even more data, many enterprises are considering how to transform their growing stores of raw information into actionable insights.
Business intelligence (BI) and data analytics were once mostly limited to large enterprises, but 85 percent of small and midsize businesses have expressed interest in these solutions, according Gartner subsidiary Software Advice. Further, Accuray Research reports that the global business intelligence and analytics software market is poised to grow swiftly in the coming years to approximately $24 billion by 2020.
Published By: VMTurbo
Published Date: Apr 11, 2013
This whitepaper describes VMTurbo’s supply chain economy approach, which uniquely addresses these requirements. VMTurbo combines monitoring, analytics and actions to enable proactive virtualization management. VMTurbo’s Observe Advise Automate model delivers intelligent and holistic visibility, analytics and automation.
The multiplication of marketing channels and devices concerning consumers has greatly increased the complexity faced by brands in their marketing efforts. This white paper aims to explain the issues, the principal attribution models used and the related challenges.
Until recently, businesses that were seeking information about their customers, products, or applications, in real time, were challenged to do so. Streaming data, such as website clickstreams, application logs, and IoT device telemetry, could be ingested but not analyzed in real time for any kind of immediate action. For years, analytics were understood to be a snapshot of the past, but never a window into the present. Reports could show us yesterday’s sales figures, but not what customers are buying right now.
Then, along came the cloud. With the emergence of cloud computing, and new technologies leveraging its inherent scalability and agility, streaming data can now be processed in memory,
and more significantly, analyzed as it arrives, in real time. Millions to hundreds of millions of events (such as video streams or application alerts) can be collected and analyzed per hour to deliver insights that can be acted upon in an instant. From financial services to manufacturing, this rev
Financial institutions run on data: collecting it, analyzing it, delivering meaningful insights, and taking action in real time. As data volumes increase, organizations demand a scalable analytics platform that can meet the needs of data scientists and business users alike. However, managing an on-premises analytics environment for a large and diverse user base can become time-consuming, costly, and unwieldy.
Tableau Server on Amazon Web Services (AWS) is helping major Financial Services organizations shift data visualization and analytics workloads to the cloud. The result is fewer hours spent on manual work and more time to ask deeper questions and launch new data analyses, with easily-scalable support for large numbers of users. In this webinar, you’ll hear how one major asset management company made the shift to cloud data visualization with Tableau Server on AWS. Discover lessons learned, best practices tailored to Financial Services organizations, and starting tactics for scalable analytics on the cloud.