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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
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Genesys
Published By: HPE Intel     Published Date: Mar 15, 2016
Led by experienced technology consultants, Hewlett Packard Enterprise Storage Transformation Workshop Service provides a highly interactive, meaningful half day-long session with a customer's IT, business, and executive stakeholders. Using a series of high-quality (slide-free) discussion panels, HPE TS Consulting will facilitate an exploration of data management transformation journey to business-aligned visions, aligning your specific situation and HPE’s experiences over evolutionary trends in Data Management, Transformation to All Flash and End to End Data Protection. HPE consultants will also lead discussions on the potential implications that a data management transformation may present to IT, your storage and backup staff, and your business.
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HPE Intel
Published By: Schneider Electric     Published Date: Mar 28, 2019
To win the colocation race you need to be faster, reliable, innovative and efficient –all while making smarter design choices that will ensure positive returns. Customers are demanding 100% uptime and always-on connectivity –be it small enterprises to large Internet Giants–and colocation providers need to meet these expectations. The growing adoption of prefabricated data centers allows just that. With the undisputed benefits of prefab modules and building components(like speed or quality),colocation providers can manage their business today, and deploy faster in the future. Chris Crosby, CEO for Compass Datacenters, is well-known for his expertise in the data center industry. From its founding in 2012, Compass’ data center solutions have used prefabricated components like exterior walls and power centers to deliver brandable, dedicated facilities for colocation providers. Prefabrication is the central element of the company’s “Kit of Parts” methodology that delivers customizable data center solutions from the core to the edge. By attending this webinar, colocation providers will: • understand the flexibility and value delivered via the use of prefabricated construction • Hear the common misperceptions regarding prefabricated modules and data center components • learn how prefabricated solutions can provide more revenue generation capability than competing alternatives • know what key things to consider when evaluating prefabricated data center design
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data centers, colocation provider, schneider electric, - modular data centers, prefabricated data center
    
Schneider Electric
Published By: JBoss Developer     Published Date: Feb 05, 2016
IT organizations are constantly faced with the challenge to produce high-quality solutions with a lower total cost of ownership (TCO). With the growing recognition that open source software provides quality, stable solutions, migrations of existing enterprise applications to products such as JBoss® Enterprise Application Platform have become increasingly popular. JBoss Enterprise Application Platform provides a holistic solution that includes tools for such business challenges as business process management, enterprise application integration, and serviceoriented architectures (SOA), enterprise portals, and data services solutions.
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ibm, websphere, jboss, eap, migration, jboss, red hat, enterprise application platform
    
JBoss Developer
Published By: JBoss Developer     Published Date: Feb 05, 2016
IT organizations are constantly faced with the challenge to produce high-quality solutions with a lower total cost of ownership (TCO). With the growing recognition that open source software provides quality, stable solutions, migrations of existing enterprise applications to products such as JBoss® Enterprise Application Platform have become increasingly popular. JBoss Enterprise Application Platform provides a holistic solution that includes tools for such business challenges as business process management, enterprise application integration, and service-oriented architectures (SOA), enterprise portals, and data services solutions.
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oracle, jboss, redhat, migration, eap, wls, applications
    
JBoss Developer
Published By: TIBCO Software     Published Date: Aug 15, 2018
Expanding analytic capabilities are critical to digitizing the business, optimizing costs, accelerating innovation, and surviving digital disruption Historically, manufacturers were almost solely focused on reducing costs by applying automation and analytics to engineering, R&D, manufacturing operations, and quality organizations. Even though the strategies used within these areas are still needed, they are not sufficient to ensure business survival and continuity in the age of Industry 4.0 and the IoT. Today, it is paramount that smart manufacturers broaden their scope because disruptive innovations in data acquisition, storage, and analytics technology have enabled an entirely new degree of automation and virtualization, promising a complete 360-degree high-fidelity virtual data-driven integrated views of all operations—from suppliers and supply chains, through equipment, processes, and manufacturing practices, to final product testing and customer satisfaction. Download this paper
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TIBCO Software
Published By: Trifacta     Published Date: Feb 12, 2019
In recent years, a new term in data has cropped up more frequently: DataOps. As an adaptation of the software development methodology DevOps, DataOps refers to the tools, methodology and organizational structures that businesses must adopt to improve the velocity, quality and reliability of analytics. Widely recognized as the biggest bottleneck in the analytics process, data preparation is a critical element of building a successful DataOps practice by providing speed, agility and trust in data. Join guest speaker, Forrester Senior Analyst Cinny Little, for this latest webinar focusing on how to successfully select and deploy a data preparation solution for DataOps. The presentation will include insights on data preparation found in the Forrester Wave™: Data Preparation Solutions, Q4 2018. In this recorded webinar you will learn: • Where does data preparation fit within DataOps • What are the key technical & business differentiators of data preparation solutions • How to align the righ
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Trifacta
Published By: Fiserv     Published Date: Nov 07, 2017
"In today’s ever-evolving lending landscape where loan quality and risk management challenge profitability and the customer experience, technology may be the key to thriving – both now and in the future. Winning financial services institutions will be the ones that transform their business models to place loan quality and risk management at the center of their operations. To facilitate continuous life-of-loan management, inclusive of the requisite data transparency and audit trails that support loan quality and loss mitigation, these institutions will implement and automate a loan completion process. Such a process will manage data quality and access to loan data and documents throughout origination, servicing and sale on the secondary market."
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mortgage data quality, loan quality, loan data quality, mortgage quality, loan compliance, lending compliance, mortgage compliance, trid, tila respa integrated disclosure, lending efficiency, loan automation, lending automation, mortgage automation, ucd, uniform closing dataset
    
Fiserv
Published By: K2     Published Date: Aug 24, 2015
This complementary template focuses on the eight key areas for business process automation success to help you evaluate the quality of the platforms you are considering – and to ensure that the system you choose is agile and flexible enough to meet your business needs. WORKFLOW TOOLS AND FEATURES FORMS INTEGRATION AND DATA SECURITY MOBILE USER AND RUN-TIME EXPERIENCE REPORTING, ANALYTICS AND MONITORING MAINTENANCE/SUPPORT/HELP DOCUMENTATION
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K2
Published By: IBM     Published Date: Aug 30, 2017
DevOps (short for development and operations), like most new approaches, is only a buzzword for many people. Everyone talks about it, but not everyone knows what it is. In broad terms, DevOps is an approach based on lean and agile principles in which business owners and the development, operations, and quality assurance departments collaborate to deliver software in a continuous manner that enables the business to more quickly seize market opportunities and reduce the time to include customer feedback. Indeed, enterprise applications are so diverse and composed of multiple technologies, databases, end-user devices, and so on, that only a DevOps approach will be successful when dealing with these complexities. Opinions differ on how to use it, however. Some people say that DevOps is for practitioners only; others say that it revolves around the cloud. IBM takes a broad and holistic view and sees DevOps as a business-driven software delivery approach  — an approach that takes a new or en
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devops, ibm, quality assurance, end-user devices, customer engagement
    
IBM
Published By: IBM     Published Date: Oct 17, 2017
The data quality tools market continues to show strong revenue growth, driven by cost, process optimization and digital business initiatives. Applying data quality tools to existing and emerging business scenarios will enable data and analytics leaders to deliver greater business value.
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IBM
Published By: Reputation.com     Published Date: Oct 02, 2017
1.Meet the new consumer The migration to mobile and social media will challenge — and change — everything we know about consumer marketing. 2. Who owns your brand? Brand equity can no longer be bought. Online reviews now generate total market transparency for location-based businesses. Reviews tilt the balance of branding power away from companies and into the hands of customers. 3. The battle for brick-and-mortar customers is won or lost on the social web. To win, marketers must actively enlist customers as online advocates. Those who scale online review volume and quality will be rewarded with higher search visibility and more business at street level. 4. “Dark data” provides priceless operational insights Vast amounts of unstructured, unmined sentiment data on social media provides feedback about the customer experience that you can filter using thematic analysis and use to improve operations at the national or location level. 5. Business implications Online reputation stands betwee
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Reputation.com
Published By: Centrica Business Solutions     Published Date: Aug 14, 2018
The energy landscape has become increasingly complex. Globally, we’re relying less on centralized, steady power sources – such as gas-fired and coal-fired power stations – and more on mixed, locally-distributed renewable energy supplies including solar, wind, tidal and battery. While this is positive for the environment and carbon emissions, it makes balancing power grids a much more complex task. Power quality and reliability becomes more variable in output, while demand for power continues to increase steadily. But when it comes to energy resilience, many organizations simply don’t know where to start. What solutions are available? Which are the best ones for their specific situation and physical premises? What will be their return on investment? Is it simply the cost of doing business, or is there actually a business case? The guide will give you the tools and data to build your understanding and quantify the benefit for your organization.
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energy, resilience, building, business, energy
    
Centrica Business Solutions
Published By: Group M_IBM Q119     Published Date: Jan 08, 2019
The discipline of data quality assurance ensures that data is "fit for purpose" in the context of existing business operations, analytics and emerging digital business scenarios. It covers much more than just technology. It includes program management, roles, organizational structures, use cases and processes (such as those for monitoring, reporting and remediating data quality issues). It is also linked to broader initiatives in the field of enterprise information management (EIM), including information governance and master data management (MDM)
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Group M_IBM Q119
Published By: StreamSets     Published Date: Sep 24, 2018
Imagine you’re running a factory but without a supply chain management system or industrial controls. Instead, you expect your customers to find and fix your delivery and quality problems. Sound ludicrous? Well, in many enterprises that’s the current “supply chain management” process for big and fast data. It relies on the lightly monitored dumping of unsanitized data into a data lake or cloud store, forcing data scientists and business users to deal with failures from data availability and accuracy issues.
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dataflow, operations, factory, industrial
    
StreamSets
Published By: SAP Inc.     Published Date: Jul 28, 2009
Data quality is an elusive subject that can defy measurement and yet be critical enough to derail any single IT project, strategic initiative, or even a company as a whole.
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roi, data quality, sap, return-on-investment, crm, erp, enterprise resource management, customer relationship management, crm, business intelligence, referential integrity, sql, data quality scoring, target marketing
    
SAP Inc.
Published By: SAP Inc.     Published Date: Jul 28, 2009
In this paper, Frank Dravis, Six Factors Consulting, discusses how even with the finest marketing organizations, the success of marketing ultimately comes down to the data.
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single platform, data integration, data quality, quality management, soa, architecture, soa, sap businessobjects data services, platform, sap, service-oriented architecture, xl 3.0, data management, developer, source, data integration, business intelligence, legacy, crm, customer relationship management
    
SAP Inc.
Published By: Artemis Health     Published Date: Feb 05, 2019
Self-insured employers are mining their health and benefits data to save costs and provide quality care for employees. Data is driving business decisions, but how do you get from millions of rows of data to a consumable graph to taking action? In this white paper, we’ll delve into data analytics best practices that help self-insured employers find actionable insights in their benefits data. • Which data sources will help you ensure you’re measuring the right thing at the right time • How to ensure data variety and choose key metrics • An example of a successful predictive analysis using benefits data
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Artemis Health
Published By: Trillium Software     Published Date: May 25, 2011
To achieve business goals and objectives, you must first optimize the information supporting all of your business processes. Implementing an Information Quality Management practice and applying best practices will help maximize the value of your information.
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trillium software, information quality management, iqm, business process silos, tactical data, strategic information, productivity, mdm, michele goetz, information maturity
    
Trillium Software
Published By: Trillium Software     Published Date: Jun 06, 2011
The first Web seminar in the series is titled "Operational Data Quality: Get the Data Right the First Time" and will be conducted by Ed Wrazen, vice president of product marketing at Trillium Software.
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trillium software, operational data quality, ed wrazen, operational system, business solutions, organization data quality, enterprise information
    
Trillium Software
Published By: Trillium Software     Published Date: Jun 06, 2011
Hear Andy Hayler from the Information Difference discuss these challenges as he presents the findings of his research report, "Building a Robust Business Case for High Quality Master Data".
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trillium software, operational data quality, mdm solution, business case, andy hayler, high quality master data, post-implementation review
    
Trillium Software
Published By: Trillium Software     Published Date: May 25, 2011
To achieve business goals and objectives, you must first optimize the information supporting all of your business processes. Implementing an Information Quality Management practice and applying best practices will help maximize the value of your information.
Tags : 
trillium software, information quality management, iqm, business process silos, tactical data, strategic information, productivity, mdm, michele goetz, information maturity
    
Trillium Software
Published By: Trillium Software     Published Date: Jun 06, 2011
Hear Andy Hayler from the Information Difference discuss these challenges as he presents the findings of his research report, "Building a Robust Business Case for High Quality Master Data".
Tags : 
trillium software, operational data quality, mdm solution, business case, andy hayler, high quality master data, post-implementation review
    
Trillium Software
Published By: Trillium Software     Published Date: Aug 10, 2011
The first Web seminar in the series is titled "Operational Data Quality: Get the Data Right the First Time" and will be conducted by Ed Wrazen, vice president of product marketing at Trillium Software.
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trillium software, operational data quality, ed wrazen, operational system, business solutions, organization data quality, enterprise information
    
Trillium Software
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