predictive analytics

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Published By: Cognizant     Published Date: Sep 21, 2017
Additional insight on Forbes Research that ends with four “How To Get Started” steps.
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data science, predictive analytics, applications services, systems integration, business process management, digital transformation, social mobile analytics cloud (smac), integrated cloud services
    
Cognizant
Published By: Cognizant     Published Date: Sep 21, 2017
The impact that state-of-the-art simulation and modeling techniques can have on supply chain operations.
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data science, predictive analytics, applications services, systems integration, business process management, digital transformation, social mobile analytics cloud (smac), integrated cloud services
    
Cognizant
Published By: CrowdTwist     Published Date: Apr 16, 2018
In order for brands to compete and provide the level of personalization consumers have already come to expect, marketers need to work quickly to develop competencies around their abilities to collect contextual and anticipatory insight and meet customers in the moments that matter most to them. Now is the time for marketers to invest in technology that supports data capture, segmentation, predictive analytics, and machine learning. With these capabilities in place, brands should be on track to build rich first party profiles of customers across all channels and maximize customer lifetime value by creating relevant experiences at all stages of the customer lifecycle.
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customers, predictive, branding, consumers, competition, lifecycle
    
CrowdTwist
Published By: Customer Chemistry     Published Date: Nov 14, 2006
Predictive analytics can be utilized to uncover root causes so that problems can be eradicated.  Read this white paper to learn how companies can use predictive analytics treatment and prevention approaches to save time and resources, eliminate root causes of problems, and obtain the actionable insight required to improve marketing effectiveness.
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analytics, predictive analytics, marketing strategy, customer research, market trends, marketing roi, customer chemistry
    
Customer Chemistry
Published By: Customer Chemistry     Published Date: Nov 14, 2006
Building a top-tier analytics practice is an evolution.  The best approach is to start small, then scale with each success.  Learn how to incrementally build your analytics practice with five customizable building blocks that create a strong foundation for analytical success.
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analytics, predictive analytics, business analytics, business process, business strategy, customer chemistry
    
Customer Chemistry
Published By: Customer Chemistry     Published Date: Nov 14, 2006
Read this white paper to learn about the six keys to a structured approach to planning and implementation of a predictive analytics infrastructure.  Find out how you can turn customer intelligence data into actionable information for improving the accuracy, efficiency and success of your targeting efforts.
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customer intelligence, business intelligence, marketing intelligence, customer research, predictive analytics, analytics, infrastructure, customer data
    
Customer Chemistry
Published By: Dassault Systèmes     Published Date: Nov 11, 2019
Die meisten Unternehmen nutzen eine einfache Form der Analyse: deskriptive Analytik. Diese betrachtet lediglich die Vergangenheit. Um wirklich wettbewerbsfähig zu bleiben, müssen Sie jedoch weitergehen. Gehen Sie den nächsten Schritt mit einer Supply-Chain, die intuitiv anhand der Realität Ihres Unternehmens lernt und so ein Maß an Präzision und Erkenntnis bietet das früher für unmöglch gehalten wurde. In unserem Leitfaden zur selbstlernenden Supply-Chain, erfahren Sie wie Sie mit Hilfe von Advanced Analytics: • Daten kontinuierlich erfassen, analysieren und aktualisieren können, um größtmögliche Genauigkeit zu erreichen • Intelligente und souveräne Entscheidungen für jeden Schritt in Ihrer Supply-Chain treffen können • Entscheidungen dreimal so effektiv umsetzen können
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advanced analytics, deskriptive analytik, predictive analytics, big data, selbstlernende supply-chain, optimierung, planung, wettbewerbsvorteil
    
Dassault Systèmes
Published By: Dell Software     Published Date: Apr 17, 2013
Learn more about User Experience Monitoring and the need for advanced real-time predictive analytics to capture information and identify trends. Download this paper today and discover vital recommendations, including the need for better dialogue between IT and business and knowledge of end-user customer behavior.
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user experience management, business impact, cornerstone, it transformation, end-user customer behavior, dell
    
Dell Software
Published By: Dun & Bradstreet     Published Date: Oct 21, 2016
It is important to understand the different business situations where traditional predictive analytics can be best applied and where anticipatory analytics may be a more appropriate approach to solve the business problem. One is not necessarily superior to the other – it’s about which methodology is best utilized in solving the specific business problem. Conventional response modeling, revenue potential modeling, wallet share analysis, traditional risk scoring and other analytic practices will always be important tools for businesses far-and-wide, but as more companies focus on analytics to inform growth, they’ll have employ the right team and identify the right partners to work with in order to successfully leverage anticipatory analytics to gain a competitive advantage. Looking forward, we anticipate anticipatory analytics playing an important role in your future. Download this white paper to learn more.
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Dun & Bradstreet
Published By: Dun & Bradstreet     Published Date: Mar 03, 2017
What’s the best analytic approach for your business? As technology has evolved, so has our ability to process data at an incredible rate, making it possible to perform what has become known as Anticipatory Analytics. While still a relatively new concept, anticipatory analytics is gaining prevalence as a methodology. If you’re seeking to understand the future needs of your business before they show obvious signs, anticipatory analytics can’t be ignored. In this document, you’ll learn: • The advantages of anticipatory analytics • The key enablers of anticipatory analytics • How anticipatory can be leveraged for your business • Why anticipatory can give you first-mover advantage • When to use anticipatory or predictive analytics, based on your goals
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Dun & Bradstreet
Published By: Dun & Bradstreet     Published Date: Mar 03, 2017
Creating predictive analytics from alternative data has become the current focus of the biggest quant trading firms in the industry The democratization of financial services data and technology, together with more intense competition, makes the needs of today’s market participants vastly different from those of previous generations. Firms must locate untapped sources of data for both public and non-public companies. This alternative data, such as payment data and other non-public information, from sources beyond the common channels, can be a predictive indicator of market performance; a difference maker in assisting firms as they develop models to evaluate their investments. By combining our unique data sets with advanced analytics, traders, analysts and managers can seek predictive signals and actionable information utilizing their own models. View our research report to learn how alternative data, our 'Information Alpha,' can help you earn differentiated investment returns.
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Dun & Bradstreet
Published By: Eloqua     Published Date: Mar 16, 2011
This whitepaper demonstrates how the fastest-growing companies are using Revenue Performance Management, or RPM, to break down silos between sales and marketing and drive explosive revenue growth.
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benchmarking, forecasting, joe payne, lead management, lead scoring, marketing automation, predictive analytics, revenue
    
Eloqua
Published By: EMC Corporation     Published Date: Aug 05, 2014
It’s an exciting yet daunting time to be a security professional. Security threats are becoming more aggressive and voracious. Governments and industry bodies are getting more prescriptive around compliance. Combined with exponentially more complex IT environments, security management is increasingly challenging. Moreover, new “Big Data” technologies purport bringing advanced analytic techniques like predictive analysis and advanced statistical techniques close to the security professional.
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big data, data management, security threats, advanced analytics, security management, predictive analytics, compliance
    
EMC Corporation
Published By: EMC Corporation     Published Date: Aug 05, 2014
Large organizations can no longer rely on preventive security systems, point security tools, manual processes, and hardened configurations to protect them from targeted attacks and advanced malware. Henceforth, security management must be based upon continuous monitoring and data analysis for up-to-the-minute situational awareness and rapid data-driven security decisions. This means that large organizations have entered the era of data security analytics. Download here to learn more!
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big data, data management, security threats, advanced analytics, security management, predictive analytics, compliance
    
EMC Corporation
Published By: EMC Corporation     Published Date: Aug 05, 2014
To develop the visibility, agility and speed to deal with advanced threats, traditional security strategies for monitoring, often based around security information and event management (SIEM) systems need to evolve into a central nervous system for large-scale security analytics. In particular, four fundamental capabilites are required: 1. Pervasive visibility 2. Deeper analytics 3. Massive scalability 4. Unified view Download here to learn more!
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big data, data management, security threats, advanced analytics, security management, predictive analytics, compliance
    
EMC Corporation
Published By: FICO     Published Date: Aug 14, 2015
Using predictive analytics and decision management to put customers at center stage.
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fico, analytics, solutions, decision management, rules management.
    
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: FICO     Published Date: Mar 22, 2018
Predictive analytics provide the foresight to understand cybersecurity risk exposure. Cybersecurity strategies often consist of “whack-a-mole” exercises focused on the perpetual detection and mitigation of vulnerabilities. As a result, organizations must re-think the ever-escalating costs associated with vulnerability management. After all, the daily flow of cybersecurity incidents and publicized data breaches, across all industries, calls into question the feasibility of achieving and maintaining a fully effective defense. The time is right to review the risk management and risk quantifcation methods applied in other disciplines to determine their applicability to cybersecurity. Security scoring is a hot topic, and rightfully so. When evaluating ways to integrate these scores into your cybersecurity strategy, be sure to look for an empirical approach to model development. The FICO Enterprise Security Score is the most accurate, predictive security score on the market.
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FICO
Published By: Fiserv     Published Date: Nov 09, 2017
Financial institutions seeking to attract new customers and revenue channels are expanding into digital services, real-time payments and global transactions. However, with every new service, criminals are developing innovative ways to infiltrate financial systems, and older technologies that mitigate fraud no longer work as effectively. So how can financial institutions respond to this growing threat? Fortunately, more advanced technologies hold great potential for real-time financial crime mitigation. Learn about five current and emerging technologies that could impact money laundering and fraud mitigation, including artificial intelligence/machine learning, blockchain, biometrics, predictive analytics (hybrid model) and APIs. Read the latest Fiserv white paper: Five Tech Trends That Can Transform How Financial Institutions Detect and Prevent Financial Crime.
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kyc, know your customer, beneficial ownership, financial crime, financial crimes, compliance, enhanced due diligence, suspicious activity report
    
Fiserv
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