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Published By: IBM     Published Date: Jul 07, 2015
Through the IBM Network Innovation Centers, IBM brings together networking services and technology capabilities together to demonstrate infrastructure agility.
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demonstrations, network innovation, networking solutions, interoperability, manageability, scalability, performance
    
IBM
Published By: FICO     Published Date: Nov 03, 2015
Meet banking model regulations without killing your analytic's team's productivity.
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FICO
Published By: FICO     Published Date: Jun 07, 2016
As any line of business (LOB) leader knows, making customer level decisions that balance risk and profit just keeps getting harder. And even when you think you have the right decisions, turning them into actions can be even trickier. You also need to consider the factors that make smart decisions difficult. Big data. Regulations. Customers who want an offer, fast, or else you’re going to lose them.
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FICO
Published By: FICO     Published Date: Sep 02, 2016
The unifying concept that defines FICO and its substantial technology and solutions stack is Decision Management. This term has not yet become mainstream - but it will. All business analytics activities are performed with the single aim of improving the accuracy and efficiency of business decisions. This applies to business intelligence, data visualization, data mining, business rules management, and many other forms of analysis. Unifying these activities under a single discipline means that currently fragmented analytical efforts can be combined into a single whole, with benefits that will be discussed in this review.
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FICO
Published By: FICO     Published Date: Dec 04, 2017
As consumers, we’re all having more experiences that seem almost magical: You’re in a mall when suddenly your smartphone beeps. It’s an offer for 20% off a pair of shoes you’ve been looking at online — from the store you just walked past! As business people, we know it’s not magic, but rather analytics powering these outstanding customer experiences. Analytics have evolved to the point where they answer an expanding range of useful questions. But understanding the different types of analytics – descriptive, diagnostic, predictive and prescriptive - and how to use them in your business can be challenging. Download the eBook to learn about the least understood – yet most powerful – tool in the analytic arsenal. Prescriptive analytics enable you to estimate and compare the likely outcomes of any number of actions, and choose the very best action to advance business objectives. Getting there isn’t as difficult as you think. Start your journey. Download the eBook today.
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profits, analytics, credit, social, media, services, customer, consumers
    
FICO
Published By: Pega     Published Date: Sep 11, 2015
The Magic Quadrant reflects the substantial difference among software suppliers' customer support applications. Great diligence must be shown by IT leaders working on customer service projects. Weaknesses remain in providing cross-channel persistence of experience and embedded real-time analytics.
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Pega
Published By: Pega     Published Date: Jun 21, 2016
IT leaders working on customer service projects must display an incredible amount of diligence. An organization’s CRM system has become its lifeline to customers, but as customer needs evolve so has the requirements of CRM. According to Gartner, today’s CRM solution must include a laundry list of capabilities outside its traditional core functionality including: native mobile support of the vendor's customer service and support business applications; real-time analytics; industry-specific functionality and workflow; context mining of voice and text; scalable cloud-based systems; social media engagement; suggested next agent action; multimodal capabilities, such as chat within mobile self-service; and even co-browsing. Gartner surveyed the CRM field and evaluated each vendor including Pegasystems.
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Pega
Published By: ArborNetworks     Published Date: Feb 12, 2016
Ask any cybersecurity professional and she’ll tell you that her job is getting increasingly difficult. Why? Most will point to a combination of the dangerous threat landscape, IT complexity, and their overwhelming workload. These issues are driving a major transition in enterprise security. Large organizations must move beyond a threat prevention mentality to become proactive cyber-¬-attack “hunters” that constantly monitor their networks for signs of trouble. This shift to proactive hunting will require new technologies that collect, process, and analyze massive amounts of security data, offer intelligent security analytics for real-¬-time incident detection, integrate threat intelligence to align suspicious internal activities with external threats, and provide analysts with the right data analytics features to query and manipulate data for historical investigations.
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arbor networks, enterprise, cyber attack, network, data
    
ArborNetworks
Published By: IBM     Published Date: Nov 20, 2015
A survey based digital tool that gives a score on level of maturity
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ibm, media, entertainment, analytics, digital
    
IBM
Published By: IBM     Published Date: Nov 20, 2015
A survey based digital tool that gives a score on level of maturity
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IBM
Published By: IBM     Published Date: Nov 20, 2015
A survey based digital tool that gives a score on level of maturity
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ibm, telecom, analytics, digital
    
IBM
Published By: Qlik     Published Date: Oct 13, 2015
Business intelligence and analytics leaders must re-evaluate and evolve the capabilities of their teams to ensure that they can leverage bimodal work practices to engage, communicate and adapt to new developments in business analytics, including diagnostic and predictive analytics.
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qlik, data discovery, business intelligence, analytics, user produced content, cloud, social, data visualization, bimodal work practices, predictive analytics
    
Qlik
Published By: Qlik     Published Date: Oct 13, 2015
Data discovery appeals strongly to business users, but some business intelligence leaders are reluctant to ensure adoption. Data discovery is filling the gap between traditional BI and advanced analytics, and this research explains why and how BI leaders should support its use.
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qlik, data discovery, business intelligence, analytics, user produced content
    
Qlik
Published By: Uberflip     Published Date: Jun 30, 2017
In this eBook, you will learn how implementing the right processes and tools to gather analytics, implement scoring, prove ROI, and create comprehensive reports on your content marketing efforts will provide the insight you need to make data-driven decisions. In turn, these decisions won’t just improve your content marketing performance, but will also allow you to meet your overarching business objectives.
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Uberflip
Published By: Microsoft Office 365     Published Date: Nov 15, 2016
Download the free A to Z eBook to learn more about data security, employee productivity, IT Support and cost. Also, see how the competition measures up against Office 365. Here are a few must-knows when it comes to Office 365: Data compliance out of the box. Built-in security and privacy features; meets key industry standards and supports FERPA, HIPPAA and EU. Online or offline across all devices. Whether you are in the office or on the go, Office applications let you create, edit and share from your PC/MAC or your iOS, Android™ or Windows device with anyone in real time. Work off a single platform and eliminate third-party apps. With our suite of apps, such as Enterprise Content Management, Cloud PBX, and Microsoft MyAnalytics, you can trust that a single vendor is providing you the tools you need to get work done.
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Microsoft Office 365
Published By: SAP     Published Date: Jan 15, 2016
Managing state government often requires impassioned debate about the best way to allocate resources, deliver services to citizens and build budgets that reflect elected leaders’ and citizens’ priorities. The State of Indiana is bringing data-driven insights to these discussions through its use of analytics.
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sap, government, analytics, data, state/local/municipal, technology
    
SAP
Published By: SAP     Published Date: Jan 15, 2016
In 2013, CFO Research conducted a survey among senior finance executives at large companies to explore the key challenges that finance departments will face in the years ahead.
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sap, finance, cfo, finance executive, research, analytics
    
SAP
Published By: SAP     Published Date: May 03, 2016
Indiana's Management and Performance Hub (MPH) program has developed a comprehensive, enterprise-wide, data-driven management system to help gain insight into the drug abuse crisis. Indiana MPH staff is tackling the issue using crime lab drug data from across the state to see new correlations in drug use over time and find insight into crime.
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sap, indiana, government, analytics, predictive analytics, hana, digital, state/local/municipal, federal, technology
    
SAP
Published By: IBM     Published Date: Mar 31, 2016
"The market buzz around APIs has distorted executive's thought processes about how to make money from APIs. Our guest speaker, Forrester analyst Randy Heffner, will tell the real truth about how to drive value from APIs. Who Should Read/View This webcast: business audience Attend to also learn how to: Provide business users with real-time information for more informed decision making Leverage the latest cloud, mobile, and analytics enhancements in IIB v10 Use the IIB Healthcare Pack to accelerate development and deployment of integration solutions Who Should Attend this Webcast: business audience"
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ibm, api, integration, application program interface, middleware
    
IBM
Published By: IBM     Published Date: Apr 15, 2016
This white paper takes a look at the current challenges that many organizations face in addressing this growing need. It examines the different types of users and stakeholders who need or want more self-service, and lays out four factors that are critical to realizing the full potential of self-service analytics.
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ibm, business analytics, self-service analytics, business intelligence
    
IBM
Published By: IBM     Published Date: Jul 05, 2016
By modeling, analyzing, and improving their existing processes, Colorado-based, Elevations Credit Union has been able to drive out inefficiencies and increase their revenues by delighting their customers. IBM Blueworks Live is the tool that’s been at the heart of Elevations gaining visibility and insight into their existing processes, and helping them drive cross-enterprise engagement and viral cultural change. .
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ibm, process improvement, business results, elevations credit union, ibm blueworks live, analytics, application services
    
IBM
Published By: IBM     Published Date: Jul 08, 2016
What is the total economic impact of IBM Datacap? This Forrester paper examines the total economic impact and potential ROI that enterprises may realize and provides a framework for how to measure financial impact in their organizations.
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ibm, forrester, forrester report, total economic impact, tei, ibm datacap, analytics
    
IBM
Published By: IBM     Published Date: Jul 12, 2016
As most companies now realize, analytics is increasingly more of an integral part of their day-to-day business operations. In a recent survey by a global research firm, 80% of CIOs stated that transition from backward-looking, passive analysis must shift to forward-looking predictive analytics. The challenge is that many analytic solutions are aligned to a specific platform, tied to inflexible programming models and requiring vast data movement. In this webcast, Forrester and experts from IBM will highlight how technology like Apache Spark on z/OS allows businesses to extract deep customer insight without the cost, latency and security risks of data movement throughout the enterprise.
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ibm, forrester, apache spark, spark technology, z systems
    
IBM
Published By: IBM     Published Date: Jul 19, 2016
This interactive demo demonstrates how IBM’s Behavior Based Customer Insight for Banking leverages predictive analytics to help you personalize customer engagement and deliver customized actions.
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ibm, banking, finance, consumer insights, business intelligence, business anlytics
    
IBM
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