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By: Fiserv     Published Date: Aug 23, 2018
Even with the rise of digital payments, cash is still a popular form of payment. According to the Federal Reserve, consumers use cash to pay for nearly one-third of all retail transactions. For many retailers, a completely "cashless society" is nowhere in sight. Cash management remains one of the most important aspects of managing a retail operation, particularly at quick service restaurants (QSRs) and convenience stores, where transactions are smaller and cash is a preferred method of payment. This white paper, Boost Profitability by Automating Cash, sponsored by Fiserv and Fast Casual, details the steps to manage cash properly and boost profit for your business. Uncover the top reasons and flexible options to automate your cash management. • Time savings • Theft deterrence • Higher accuracy • Better customer service • Real-time data
Tags : cash automation, smart safe, cash loss, cash handling, automated cash handling, cash management, cash reconciliation, manual cash reconciliation
     Fiserv
By: Splunk     Published Date: Nov 29, 2018
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
Tags : devops, devops tools, continuous delivery, devops methodology
     Splunk
By: Splunk     Published Date: Nov 29, 2018
Gartner Market Share Analysis: ITOM, Performance Analysis Software, Worldwide, 2017 Splunk Jumps From #5 in 2016 to #2 in Top 10 Named ITOM Performance Analysis Software Vendors, Worldwide, 2017 Splunk is ranked #2 of overall ITOM Performance Analysis Software Vendors, according to Gartner’s report, Market Share Analysis: ITOM, Performance Analysis Software, Worldwide, 2017. This Gartner report also lists Splunk as one of several disruptors in the table “Market Share of Incumbents vs. Disruptors - ITOM Performance Analysis Software.” As a Splunk customer, are you utilizing your machine data platform to its fullest potential? Learn about newest trends in ITOM software tools across AIOps, APM, infrastructure monitoring and Network performance monitoring and diagnostics. Download this report to learn: 2017 rankings of performance analysis software vendors, overall and subsegments How digital business is driving demand for modern, agile monitoring tools via DevOps toolchains Shifts in
Tags : application performance monitoring, network tools, network monitoring tools, network monitoring software, network monitoring, it monitoring
     Splunk
By: Splunk     Published Date: Nov 29, 2018
From protecting customer experience to preserving lines of revenue, IT operations teams face increasingly complex responsibilities and are responsible for preventing outages that could harm the organization. As a Splunk customer, your machine data platform empowers you to utilize machine learning to reduce MTTR. Discover how six companies utilize machine learning and AI to predict outages, protect business revenue and deliver exceptional customer experiences. Download the e-book to learn how: Micron Technology reduced number of IT incidents by more than 50% Econocom provides better customer service by centralizing once-siloed analytics, improving SLA performance and significantly reducing the number of events TransUnion combines machine data from multiple applications to create an end-to-end transaction flow
Tags : predictive it, predictive it tools, predictive analytics for it, big data and predictive analytics
     Splunk
By: Splunk     Published Date: Nov 29, 2018
IT organizations struggle with numerous challenges — hybrid environments, lack of visibility during cloud migration, multiple infrastructure monitoring tools, and reliance on manual processes. Yet according to a 2018 global survey, less than half of IT practitioners are confident they can ensure performance and system availability with their current toolset. As a Splunk customer, you understand the power of running your monitoring and logging environment in a machine data platform. Are you utilizing your machine data platform to effectively run APM, infrastructure monitoring and Network performance monitoring and diagnostics? This guide outlines the 8 biggest mistakes IT practitioners make and provides solutions, key takeaways and real-world examples to help you improve IT monitoring and troubleshooting in your organization. Download your copy to learn how to: Achieve end-to-end-visibility throughout cloud migration Find trends and root cause faster with automated investigations
Tags : application performance monitoring, network tools, network monitoring tools, network monitoring software, network monitoring, it monitoring
     Splunk
By: Location3     Published Date: Aug 31, 2018
When we released our first white paper in February 2015 discussing the ways multi-location businesses were using online media to drive in-store visits, most of the strategic opportunities being leveraged by marketers revolved around using things like promotional coupons, beacons and other tactics. While those methods certainly provided incremental lift in in-store traffic and revenue, there existed a number of gaps in connecting online data associated with promotional efforts, to data that indicated a customer actually converted offline at a business location. At press time for our original “online-to-offline” white paper, digital industry giants were still very much in the early stages of evaluating data points that signified offline customer conversions. Many of these “conversions” were somewhat implied (i.e. Clicks on “Get Directions” link), while others were a bit more reliable in signifying in-store visits and purchases made by consumers (i.e. downloadable coupon redeemed in-store
Tags : marketing, local marketing, franchise, franchisor, digital marketing, online to offline, multi-location businesses, store visits
     Location3
By: Juniper Networks     Published Date: Oct 02, 2018
As customers demand and expect more of a digitized experience, the scale and volume of secure data that’s being transmitted across the network is increasing exponentially. At the same time, across the APAC region high digital connectivity, contrasted with low cybersecurity awareness, growing cross-border data transfers and weak regulations have made this data a global target. The growth in the “as-a-service” nature of the cybercrime marketplace is also fueling an increase in the number of traditional crime groups and individuals drawn into cyber offending. New sources of vulnerability from mobile, BYOD, CYOD, web-services and IoT devices are further broadening the cyber threat landscape with ever-more sophisticated forms of malware and DDoS attacks. Download the IDC Report to get some tips on how to stay protected against cybercrime.
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     Juniper Networks
By: Sage People     Published Date: Jan 26, 2018
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.
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     Sage People
By: Sprinklr     Published Date: Nov 22, 2016
Customer service today is broken, and the data shows it. Tried-and-true customer service models are losing your organization customers and prospects. So what is the solution? It’s called social customer service.
Tags : social customer service, social media customer service, social media, social, customer service, customer care, customer reviews
     Sprinklr
By: Symantec     Published Date: Nov 24, 2014
This IDC White Paper explores the increased use and adoption patterns of PBBAs, both integrated and targeted, and the utility these appliances provide to customers in their data protection processes. In addition, this White Paper illuminates the customer value that Symantec's Backup Exec and NetBackup appliances bring to the data protection and recovery process.
Tags : purpose built backup appliances, pbbas, backup performance, data protection, data security
     Symantec
By: Dassault Systèmes     Published Date: Jul 21, 2017
Obtaining a first-mover competitive advantage or faster time-to-market requires a new wave in analytics. Dassault Systèmes remains a leading innovator in Product Lifecycle Management (PLM) and has invested heavily in analytical technologies to further drive business benefits for its customers in the related areas of planning, simulation, insight and optimization. This white paper examines the challenges peculiar to PLM and why Dassault Systèmes’ EXALEAD offers the most appropriate solution. It also clearly positions EXALEAD PLM Analytics alongside related technologies like BI, data-warehousing and Big Data solutions. Understand and implement PLM Analytics to access actionable information, support accurate decision-making, and drive performance.
Tags : product solutions, lifecycle management, tech products, data management tools, pdm, plm, process automation, product development speed
     Dassault Systèmes
By: Telstra     Published Date: Jan 27, 2016
This white paper reveals how Telstra helps a range of customers across multiple industries transform their businesses through digital technology.
Tags : digital technology, digital business, digital transformation, telstra, customer interaction, on-demand content, share content, data
     Telstra
By: Teradata     Published Date: May 02, 2017
Constellation Research presents case studies of two companies that cut costs, gained flexibility, and eased administration by adding cloud data warehouse capacity to their on-premises environment. Both of these deployments: • Solved problems and yielded expected and unexpected benefits • Required some adjustments to administrative processes and expectations • Led to hybrid architecture as being an invaluable aspect of their respective data warehousing strategies Download the case studies now to explore each company’s journey, understand recurring themes, and walk away with actionable insights.
Tags : cloud data, online marketing, customer acquisition, mobile marketing, social marketing, data warehouse, data storage, data collection
     Teradata
By: Dun & Bradstreet     Published Date: Nov 13, 2017
You’re on the hook for more than just moving prospects through the funnel and delivering leads to sales. You’re responsible for managing the customer relationship. But how does it feel to the customer when that transition takes place? All too often, the first contact with sales feels like starting the conversation over again. And for customers who have already invested time and energy learning about a company and their products, this can be a jarring experience. Great composers use consistent melodic themes over the course of a piece. As marketers, it is our responsibility to ensure there is harmony and consistency over the full lifecycle of the customer relationship. But linking the conversations that marketing and sales have with prospects depends on your ability (and willingness) to share insights that are born from data.
Tags : data, sales, marketing, relationship management, suppliers, customers, finance, compliance
     Dun & Bradstreet
By: IBM     Published Date: May 28, 2015
In this book, you look at how the Smarter Process approach helps you create a more customer-centric organization. You discover how four major technologies — mobile, cloud computing, Big Data, and social collaboration — are disrupting the way you do business and how you can work through the challenges.
Tags : smarter process, data management, business models, blueworks live, big data, cloud computing, social collaboration
     IBM
By: IBM     Published Date: Feb 02, 2016
Read this editorial to learn about the challenges and opportunities ahead for energy companies, and find out how utilities can use analytics to improve satisfaction by gaining insight into consumption and billing patterns—as well as the products and services that interest customers most.
Tags : ibm, analytics, energy, utilities, customer experience, social media, data, customer management
     IBM
By: IBM     Published Date: Feb 02, 2016
Energy firms should build and nurture a customer-centric culture delighting clients while maximizing operational and financial results. In doing so, we’ll highlight the crucial role analytics plays in helping energy firms ensure operational efficiency and customer satisfaction.
Tags : ibm, energy, analytics, utility, customer experience, data, customer satisfaction, social media
     IBM
By: IBM     Published Date: Jul 06, 2016
Five high-value uses for big data: IBM has conducted surveys, studied analysts’ findings, talked with more than 300 customers and prospects and implemented hundreds of big data solutions. As a result, it has identified five high-value use cases that enable organizations to gain new value from big data.
Tags : ibm, mdm, big data, trusted data, data solutions
     IBM
By: IBM     Published Date: Jul 06, 2016
With the advent of big data, organizations worldwide are attempting to use data and analytics to solve problems previously out of their reach. Many are applying big data and analytics to create competitive advantage within their markets, often focusing on building a thorough understanding of their customer base.
Tags : ibm, mdm, big data, data management, data matching, customer analytics
     IBM
By: IBM     Published Date: Jan 27, 2017
Every day, torrents of data inundate IT organizations and overwhelm the business managers who must sift through it all to glean insights that help them grow revenues and optimize profits. Yet, after investing hundreds of millions of dollars into new enterprise resource planning (ERP), customer relationship management (CRM), master data management systems (MDM), business intelligence (BI) data warehousing systems or big data environments, many companies are still plagued with disconnected, “dysfunctional” data—a massive, expensive sprawl of disparate silos and unconnected, redundant systems that fail to deliver the desired single view of the business.
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     IBM
By: IBM     Published Date: Jan 27, 2017
The bottom line is that those that have the most customer insight will win because they know what customers want. So the question is how will you get that insight? What is it that you don’t know about customers in the market(s) that you operate in? Do you have all the attributes about customers in your MDM system that could be of value to your business? Do you know about all the relationships that your customers have in your MDM system? In most cases, the answer to the above questions is no which inevitably means one thing. You need more data
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     IBM
By: IBM     Published Date: Jan 27, 2017
High-priority big data and analytics projects often target customer-centric outcomes such as improving customer loyalty or improving up-selling. In fact, an IBM Institute for Business Value study found that nearly half of all organizations with active big data pilots or implementations identified customer-c entric outcomes as a top objective (see Figure 1).1 However, big data and analytics can also help companies understand how changes to products or services will impact customers, as well as address aspects of security and intelligence, risk and financial management, and operational optimization.
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     IBM
By: IBM     Published Date: Jul 06, 2017
Effectively using and managing information has become critical to driving growth in areas such as pursuing new business opportunities, attracting and retaining customers, and streamlining operations. In the era of big data, you must accommodate a rapidly increasing volume, variety and velocity of data while extracting actionable business insight from that data, faster than ever before. These needs create a daunting array of workload challenges and place tremendous demands on your underlying IT infrastructure and database systems. In many cases, these systems are no longer up to the task—so it’s time to make a decision. Do you use more staff to keep up with the fixes, patches, add-ons and continual tuning required to make your existing systems meet performance goals, or move to a new database solution so you can assign your staff to new, innovative projects that move your business forward?
Tags : database, growth, big data, it infrastructure, information management
     IBM
By: Group M_IBM Q1'18     Published Date: Dec 19, 2017
As organizations develop next-generation applications for the digital era, many are using cognitive computing ushered in by IBM Watson® technology. Cognitive applications can learn and react to customer preferences, and then use that information to support capabilities such as confidence-weighted outcomes with data transparency, systematic learning and natural language processing. To make the most of these next-generation applications, you need a next-generation database. It must handle a massive volume of data while delivering high performance to support real-time analytics. At the same time, it must provide data availability for demanding applications, scalability for growth and flexibility for responding to changes.
Tags : database, applications, data availability, cognitive applications
     Group M_IBM Q1'18
By: Group M_IBM Q1'18     Published Date: Dec 19, 2017
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.
Tags : cloud, database, hybrid cloud, database platform
     Group M_IBM Q1'18
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