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Published By: IBM     Published Date: Feb 19, 2015
Optimizing healthcare IT investments for better business and care outcomes.
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business optimization, healthcare it investments, emr, ibm
    
IBM
Published By: FICO     Published Date: Sep 02, 2016
Leading businesses have aggressively adopted prescriptive analytics to assess the different outcomes of potential decisions and identify the best one(s) for handling a future scenario. As companies progress their use of advanced analytics, they derive exponentially more value from their data and decisions. These five case studies highlight how five banks are using FICO optimization to boost portfolio profits by 26% or more; increase approved transactions by $100+ million; and even generate 6:1 ROI in just six months.
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prescriptive analytics, fico, advanced analytics, fico optimization, portfolio profits, roi
    
FICO
Published By: IBM     Published Date: Aug 05, 2014
There is a lot of discussion in the press about Big Data. Big Data is traditionally defined in terms of the three V’s of Volume, Velocity, and Variety. In other words, Big Data is often characterized as high-volume, streaming, and including semi-structured and unstructured formats. Healthcare organizations have produced enormous volumes of unstructured data, such as the notes by physicians and nurses in electronic medical records (EMRs). In addition, healthcare organizations produce streaming data, such as from patient monitoring devices. Now, thanks to emerging technologies such as Hadoop and streams, healthcare organizations are in a position to harness this Big Data to reduce costs and improve patient outcomes. However, this Big Data has profound implications from an Information Governance perspective. In this white paper, we discuss Big Data Governance from the standpoint of three case studies.
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ibm, data, big data, information, healthcare, governance, technology
    
IBM
Published By: IBM     Published Date: Jul 08, 2016
Big data analytics offer organizations an unprecedented opportunity to derive new business insights and drive smarter decisions. The outcome of any big data analytics project, however, is only as good as the quality of the data being used. Although organizations may have their structured data under fairly good control, this is often not the case with the unstructured content that accounts for the vast majority of enterprise information. Good information governance is essential to the success of big data analytics projects. Good information governance also pays big dividends by reducing the costs and risks associated with the management of unstructured information. This paper explores the link between good information governance and the outcomes of big data analytics projects and takes a look at IBM's StoredIQ solution.
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ibm, idc, big data, data, analytics, information governance
    
IBM
Published By: IBM     Published Date: Oct 18, 2016
Big data analytics offer organizations an unprecedented opportunity to derive new business insights and drive smarter decisions. The outcome of any big data analytics project, however, is only as good as the quality of the data being used. Although organizations may have their structured data under fairly good control, this is often not the case with the unstructured content that accounts for the vast majority of enterprise information. Good information governance is essential to the success of big data analytics projects. Good information governance also pays big dividends by reducing the costs and risks associated with the management of unstructured information. This paper explores the link between good information governance and the outcomes of big data analytics projects and takes a look at IBM's StoredIQ solution.
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ibm, idc, big data, data, analytics, information governance
    
IBM
Published By: IBM     Published Date: Jul 14, 2015
This paper explores the link between good information governance and the outcomes of big data analytics projects and takes a look at IBM's StoredIQ solution.
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big data, data warehouse, data center, information governance, analytics, big data analytics, business management
    
IBM
Published By: IBM     Published Date: Apr 06, 2015
Big data analytics offer organizations an unprecedented opportunity to derive new business insights and drive smarter decisions. The outcome of any big data analytics project, however, is only as good as the quality of the data being used. Although organizations may have their structured data under fairly good control, this is often not the case with the unstructured content that accounts for the vast majority of enterprise information. Good information governance is essential to the success of big data analytics projects. Good information governance also pays big dividends by reducing the costs and risks associated with the management of unstructured information. This paper explores the link between good information governance and the outcomes of big data analytics projects and takes a look at IBM's StoredIQ solution.
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big data, analytics, unstructured content, enterprise information, ibm
    
IBM
Published By: IBM     Published Date: Feb 24, 2015
Big data analytics offer organizations an unprecedented opportunity to derive new business insights and drive smarter decisions. The outcome of any big data analytics project, however, is only as good as the quality of the data being used. Although organizations may have their structured data under fairly good control, this is often not the case with the unstructured content that accounts for the vast majority of enterprise information. Good information governance is essential to the success of big data analytics projects. Good information governance also pays big dividends by reducing the costs and risks associated with the management of unstructured information. This paper explores the link between good information governance and the outcomes of big data analytics projects and takes a look at IBM's StoredIQ solution.
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big data, ibm, big data outcomes, information governance, big data analytics
    
IBM
Published By: Dell EMC     Published Date: Aug 15, 2017
The all-flash, hybrid & archive storage systems allow customers to take on new, demanding unstructured data apps to achieve faster business outcomes.
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nas storage, storage platform, storage system, data storage, data management
    
Dell EMC
Published By: Genesys     Published Date: Dec 20, 2018
Artificial Intelligence (AI) is staggering in its speed of handling simple requests and automating conversations. But AI solutions are not enough for the best customer experiences. Human emotions sometimes demand the human touch that only live agents can provide. Kate, Customer Experience AI by Genesys, combined with the power of human touch can improve customer experience, empower employees and dramatically reduce costs. This seamless combination of AI technology and humans, or “Blended AI by Genesys,” addresses the entire customer journey for the best possible outcomes. Download the eBook and learn how Kate and Blended AI lets you: • Personalize self-service • Connect customer conversations • Create smart agent experiences Start small and deploy fast with MicroApps
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Genesys
Published By: Genesys     Published Date: Feb 12, 2019
Artificial Intelligence (AI) is staggering in its speed of handling simple requests and automating conversations. But AI solutions are not enough for the best customer experiences. Human emotions sometimes demand the human touch that only live agents can provide. Kate, Customer Experience AI by Genesys, combined with the power of human touch can improve customer experience, empower employees and dramatically reduce costs. This seamless combination of AI technology and humans, or “Blended AI by Genesys,” addresses the entire customer journey for the best possible outcomes. Download the eBook and learn how Kate and Blended AI lets you: Personalise self-service Connect customer conversations Create smart agent experiences Start small and deploy fast with MicroApps
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Genesys
Published By: TIBCO Software     Published Date: May 16, 2019
For years, manufacturers have been trying to streamline processes and associated supply chains by building marketplaces, standardized exchanges, and monolithic systems. In many cases, these solutions missed the mark, resulting in fragmented and brittle processes without easy data sharing. Blockchain, the underlying technology behind Bitcoin and other cryptocurrencies, can potentially solve these problems. Sharing information via a trusted distributed network with embedded business logic offers many benefits for manufacturing, especially when combined with the IoT and AI communities. Watch this webinar: Blockchain & Manufacturing: A Smarter Way to Drive Efficiency in the Semiconductor and Electronics Supply Chains, with speaker Nelson Petracek, chief technology officer, TIBCO Software.
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TIBCO Software
Published By: HP Data Center     Published Date: Apr 08, 2009
Unified Communications (UC) aims to unite securely and seamlessly all the different business communications channels that exist in a company. That includes voice, video, data, IM, mobility and the Web etc. This report examines in detail the key industry drivers and benefits that are inspiring large scale enterprises to adopt a Unified Communications strategy.
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business communications, voice, video, data, mobility, industry drivers, unified communications strategy, just in time, jit, cross-functional, hp data center, cisco, crm, workflow, workforce management, total cost of ownership, tco, voice response (ivr), automatic call distributor (acd), disaster recovery
    
HP Data Center
Published By: Dell Software     Published Date: Apr 29, 2015
Read this report to learn how cloud-managed integration delivers 2.5 times faster time-to-value, reduces the total-cost-of-ownership (TCO) by as much as 40 percent, and delivers business results for companies such as AAA, GoPro and Kelly-Moore.
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cloud-managed integration, time-to-value, tco
    
Dell Software
Published By: SAS     Published Date: Jun 05, 2017
"The connected customer is an individual who is intimately connected to the data, outcomes, decisions and staff associated with any relationship to an organization.  To create personalized experiences, companies across all industries must pursue a more connected relationship with their customers through technology and processes focused on delivering relevant personalized experiences whenever possible. In this report, Blue Hill explores the key traits associated with supporting the connected customer through the internet of things, and provides guidance on why the internet of things will be essential across the general business landscape. "
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SAS
Published By: SAS     Published Date: Mar 06, 2018
The Connected Customer is an individual who is intimately connected to the data, outcomes, decisions, and staff associated with any relationship to an organization. This intensely personal connection is not just a matter of the most recent transaction, but represents a combination of connected data, connected analytics, and collaborative decisions associated with improving the customer’s relationship with the organization over time. In this report, Blue Hill explores the key traits associated with supporting the Connected Customer through the Internet of Things, and provides guidance on why the Internet of Things will be essential across the general business landscape
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SAS
Published By: Cisco     Published Date: Feb 16, 2016
While the companion comparative reports on security, performance, and total cost of ownership (TCO) will provide information about all tested products, this individual test report provides detailed information not available elsewhere.
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cisco, breach detection, system test, data security, threat
    
Cisco
Published By: IBM     Published Date: Jan 20, 2016
Analytics help CFO & finance improve business outcomes
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ibm, data, barrier, cfo, finance
    
IBM
Published By: CA Technologies     Published Date: Aug 19, 2014
To help organizations plan their DCIM roadmap, this paper explores five essential DCIM use cases and outcomes. From better asset utilization and faster provisioning to maintaining availability, greater efficiency and smarter capacity planning, we look at how DCIM can close the operational and optimization gap for both IT and facilities.
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ca technologies, it operations, dcim, data center management, data center capacity, performance management
    
CA Technologies
Published By: Cisco     Published Date: Apr 20, 2016
The digital marketplace has created a business imperative that every company be — in some way — a technology company. This means that IT departments are being pulled out of their traditional “gate keeper” role of protecting the core technology infrastructure to collaborate across the enterprise to drive business outcomes.
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cisco, marketing, infrastructure, enterprise
    
Cisco
Published By: SAS     Published Date: Jun 06, 2018
The Internet of Things (IoT) is rapidly emerging as a core transformational technology of the digital era. The ability to gather data from sensors embedded throughout an enterprise can drive insights and operational efficiencies from the supply chain to the customer. But IoT and Industrial IoT (IIoT) implementations require high degrees of IT/OT convergence - collaboration and integration between information technology and operational technology groups - to succeed. These two groups, however, often have different goals, performance metrics, and perspectives on both the collaboration and the outcome. This SAS/HPE-sponsored paper helps readers get a better understanding of the relationship, either real or perceived, between these two groups. Futurum Research surveyed the state of the relationship between IT and OT teams as it pertains to the design, implementation, and creation of value through IoT technologies.
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SAS
Published By: Hewlett-Packard     Published Date: Aug 02, 2013
If your organization is deploying a new server farm or cluster for any reason — a newly virtualized application or a growing business initiative, perhaps — this is the time to consider blade servers as a cost-effective alternative to traditional rack servers. In most use cases, you will find blade servers to be less expensive than rack servers for both the initial purchase as well as for long-term total cost of ownership (TCO). In addition, blades enable improvements in manageability, agility, scalability and power consumption.
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blades, it costs, cost of ownership
    
Hewlett-Packard
Published By: HP Ecommerce     Published Date: Aug 31, 2015
This July 2015 Forrester Research report is provided compliments of HP. Modern application delivery leaders realize that their primary goal is to deliver value to the business and its customers, faster. For many, this is a significant shift from the past, when they primarily focused on cost control and efficiency. Today, they must connect the work they do and the results they produce to business outcomes. To do this, application development and delivery (AD&D) leaders use a new set of metrics that help them monitor and improve the value they deliver, based on feedback from business partners and customers. In this report, we highlight these new metrics that connect business outcomes to app delivery performance — as well as the practices and tools that modern application delivery teams and their AD&D leaders use to collect and report them.
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HP Ecommerce
Published By: IBM     Published Date: Oct 26, 2016
Predictive analytics transforms organizations. Watch this video to see how predictive analytics can improve outcomes in four strategic areas critical to the success of your business: - Customer satisfaction and retention - More effective HR processes - Fraud and threat detection and prevention - Revenue growth and profitability
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ibm, analytics, predictive analytics
    
IBM
Published By: HP     Published Date: Mar 15, 2013
This white paper covers all the factors that comprise an ROI model for comparing blades to rack servers, including power usage, cabling, software licensing and maintenance. Don't miss this opportunity to learn how blades can help you save on the TCO.
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blade servers, building business case, hp blade, business case, tco, total cost of ownership
    
HP
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