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Published By: ClearSlide, Inc     Published Date: May 02, 2014
A sale is a journey that you undertake with your prospect. In order to reach your destination, quota attainment, you need to build your pipeline and ensure that you have the tools and skill-sets needed to keep the deals moving at a fast clip. The Modern Survival Guide for Pipeline Generation will outline essential tips to help you make sure that you have the compass, map, fuel, equipment and attitude to know where you’re headed and the fastest possible way to get there. After reading this guide, you’ll be ready to blaze the trail for a record-breaking pace up the quota mountain.
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clearslide, sales journey, pipeline generation, sales engagement platform, customer interaction, business analytics, sales management, sales
    
ClearSlide, Inc
Published By: GoodData     Published Date: Aug 02, 2013
Salesforce provides a tremendous repository of customer information and interactions that’s organized and easily accessed. But that’s not enough! Once you begin to really use it, the questions you ask your salesforce data become more sophisticated. Then you start to uncover holes in your data, reporting strategy and Salesforce analytics itself. Download this white paper for 4 tips that are a surefire way to improve your salesforce analytics.
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sales metrics, how to forecast sales, sales analysis, sales analytics, crm analytics, salesforce reports, salesforce analytics, sales projections
    
GoodData
Published By: IBM     Published Date: Apr 29, 2014
Customer Profitability Analytics enables banks to analyze customer, account, product, and transaction data and apply costing models to determine a bank-wide view of profitability. Applying predictive analytics, they can model future behavior and derive a lifetime value for each customer.
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ibm, banking, customer profitability, customer profitability analytics, transaction data, predictive analytics, customer behavior
    
IBM
Published By: IBM     Published Date: Mar 28, 2016
Big data. We've heard the phrase for quite some time, but how can human resource leaders get into the action? One way is through the development and implementation of talent analytics strategies. Talent analytics is fundamentally changing the way organizations and practitioners are thinking about the role of HR and organizations uncovering never before seen insights.
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ibm, smarter workforce, talent management, talent analytics
    
IBM
Published By: IBM     Published Date: Jun 13, 2016
Big data. We've heard the phrase for quite some time, but how can human resource leaders get into the action? One way is through the development and implementation of talent analytics strategies. Talent analytics is fundamentally changing the way organizations and practitioners are thinking about the role of HR and organizations uncovering never before seen insights.
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ibm, talent acquisition, talent acquisition technology, human resources, recruiting
    
IBM
Published By: Vindicia     Published Date: Jun 17, 2014
Many digital offerings are sold on a subscription and recurring basis. Bring Digital Goods and Subscribers Together - this eBook gives you nine essentials for acquiring subscription and recurring revenue customers.
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subscription revenue billing, subscription payments, subscription model best practices, subscription billing solutions, subscription billing software, subscription billing platform, subscription billing company, subscription billing business models
    
Vindicia
Published By: Vindicia     Published Date: Jun 17, 2014
The eBook ‘Digital Age / Digital Goods’ provides information on the various components you’ll want to address while you test an acquisition mix best suited for your organization, and your target audience.
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subscription revenue billing, subscription payments, subscription model best practices, subscription billing solutions, subscription billing software, subscription billing platform, subscription billing company, subscription billing business models
    
Vindicia
Published By: Flimp Media     Published Date: Jan 26, 2010
This report, discusses the uses, applications and benefits of video landing pages for email marketing, communications and sales; and explores how new technologies are enabling users to create, distribute and measure effective online video email marketing campaigns using video landing pages without programming or advanced technical skills.
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flimp, b2b, idc, intelligent digital collateral, landing pages, email marketing, emarketing, measurability
    
Flimp Media
Published By: SAS     Published Date: Mar 06, 2018
Known for its industry-leading analytics, data management and business intelligence solutions, SAS is focused on helping organizations use data and analytics to make better decisions, faster. The combination of self-service BI and analytics positions you for improved productivity and smarter business decisions. So you can become more competitive as you use all your data to take better actions. Instead of depending on hunch-based choices, you can make decisions that are truly rooted in discovery and analytics. And you can do it through an interface that anyone can use. At last, your business users can get close enough to the data to manipulate it and draw their own reliable, fact-based conclusions. And they can do it in seconds or minutes, not hours or days. Equally important, IT remains in control of data access and security by providing trusted data sets and defined processes that promote the valuable, user-generated content for reuse and consistency. But, they are no longer forced
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SAS
Published By: SAS     Published Date: Mar 06, 2018
Industry leaders from the banking and vendor landscape are working to streamline the customer experience while closing the opportunities for fraud and exposure. Balancing security and convenience will require an approach that combines consumer-facing authentication (such as passwords, PINs and biometrics) with background security measures (such as transaction and session-behavior analytics).
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SAS
Published By: SAS     Published Date: Mar 06, 2018
The 2016 ACFE Report to the Nations on Occupational Fraud and Abuse analyzed 2,410 occupational fraud cases that caused a total loss of more than $6.3 billion.8 Victim organizations that lacked anti-fraud controls suffered double the amount of median losses. SAS’ unique, hybrid approach to insider threat deterrence – which combines traditional detection methods and investigative methodologies with behavioral analysis – enables complete, continuous monitoring. As a result, government agencies and companies can take pre-emptive action before damaging incidents occur. Equally important, SAS solutions are powerful yet simple to use, reducing the need to hire a cadre of high-end data modelers and analytics specialists. Automation of data integration and analytics processing makes it easy to deploy into daily operations.
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SAS
Published By: SAS     Published Date: Jun 06, 2018
Today’s consumers expect immediate, personalized interactions. To meet these expectations, companies must differentiate their brands through timely, targeted and tailored customer experiences based on real-time data analytics. This report, sponsored by SAS, Intel and Accenture and conducted by Harvard Business Review Analytic Services, looks at how businesses are using advanced customer data analytics, along with real-time analytics and real-time marketing, to enhance their customers’ experiences. Learn why organizations that place a high value on real-time capabilities still struggle to achieve them, what companies can do to ensure success as they adopt and implement real-time analytics solutions, and what benefits successful companies are already seeing.
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SAS
Published By: Microsoft Corporation     Published Date: Oct 19, 2010
Attend this webcast to see Microsoft Dynamics CRM Online in action and learn about customers who have used the solution to address areas such as Microsoft Office Outlook integration for e-mails, lead routing and qualification, opportunity management, sales process workflow, forecasting and sales analytics, and account management.
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microsoft dynamics crm online, sales force automation, sfa, sales cycle, cloud, office outlook integration, analytics
    
Microsoft Corporation
Published By: IBM     Published Date: Feb 04, 2015
Driving the right interaction at the right time. This paper examines the need to uncover and understand the dynamic roles and changing needs of individuals, the importance of synchronizing interactions with these changing needs, and how predictive analytics can drive customer intimacy by facilitating 1:1 interactions.
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predictive analytics, customer interaction, crm, business analytics, marketing attributes, crm & customer care
    
IBM
Published By: IBM     Published Date: Apr 13, 2015
IDC Retail Insights defines omni-channel merchandise optimization as the set of technologies, data assets, skills, processes, and management intent required to develop and maintain sets of targeted and localized offers that best satisfy important business objectives. These goals include customer satisfaction, customer lifetime value, and category, channel, and corporate performance. By "offers," IDC Retail Insights means the broad set of attributes that characterize assortments, products, services, prices, utility, and convenience that match customers' buying criteria and shopping behaviors. Targeted and localized offers present a compelling "choice set" that satisfies and delights consumers. Download this white paper to read the questions posed by IBM to Greg Girard, program director of Omni-Channel Analytics Strategies at IDC Retail Insights, on behalf of IBM's customers.
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omni-channel merchandise, ibm, targeted offers, localized offers, customer satisfaction, corporate performance, emerging marketing, internet marketing
    
IBM
Published By: IBM     Published Date: Feb 11, 2015
As cloud computing gains more traction, more businesses are beginning to align their security strategy to better manage the privacy and compliance challenges of this new deployment model. Indeed, cloud models are being used not only to add compute and storage resources, they are also becoming an imperative for data analytics and mobility. In this paper, we will look at how the growing adoption of cloud computing is changing the way organizations are implementing security.
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security strategies, ibm, deployment model, cloud security, data analytics
    
IBM
Published By: IBM     Published Date: May 29, 2015
Take action in the Internet of Things through data-in-motion analytics
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big data, mobility, compute-intensive apps, virtualization, cloud computing, scalable infrastructure, reliability
    
IBM
Published By: IBM     Published Date: Oct 17, 2016
See how you can turn data into actionable insights with predictive analytics. Take our brief assessment to learn which analytical capabilities will enable you to find the greatest value in your data and make confident, accurate business decisions.
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ibm, analytics, spss, stats, modeler, predictive analytics
    
IBM
Published By: Cisco     Published Date: Jul 11, 2016
Companies rely on an expanding set of applications to compete in today's rapidly evolving business environment: - They rely on a fast-growing array of applications and devices (email, collaboration tools, and smartphones/tablets) to communicate and conduct business with customers and business partners. - They are creating, collecting, and repurposing large, unstructured data sets in life sciences, geophysics, media, and manufacturing. - They are collecting, storing, and analyzing more social and sensor-generated data about environments, products, customers, and transactions. The promise of better and faster data-driven decision making based on all this information is pushing big data and analytics (BDA) technology to the top of executive agendas. To succeed, CIOs must place a laserlike investment focus on datacenter solutions that allow them to deliver scalable, reliable, and flexible infrastructure for fast-growing BDA environments. Read more to learn how!
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Cisco
Published By: IBM     Published Date: Apr 03, 2017
Businesses today certainly do not suffer from a lack of data. Every day, they capture and consume massive amounts of information that they use to make strategic and tactical decisions. Yet organizations often lack two critical capabilities when it comes to making the right decisions for the business: the ability to make accurate predictions about the future, and to then use those predicted insights in conjunction with organizational goals to identify the best possible actions they should take. The combination of predictive analytics and decision optimization provides organizations with the ability to turn insight into action. Predictive analytics offers insights into likely scenarios by analyzing trends, patterns and relationships in data. Decision optimization prescribes best-action recommendations given an organization’s business goals and business dynamics, taking into account any tradeoffs or consequences associated with those actions.
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predictive analytics, analytics, data analytics, financial marketing, market analytics, data resources, data optimization
    
IBM
Published By: SAS     Published Date: Oct 03, 2018
Risks have intensified as retailers and financial organizations embrace new technologies to meet customer demands for convenience. The rise of mobile and online transactions introduces new risks – and with that, new requirements for fraud mitigation. This paper discusses key steps for fighting back against fraud risk by establishing appropriate and accurate data, analytics and alert management.
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SAS
Published By: SAS     Published Date: Jan 04, 2019
How can you open your analytics program to all types of programming languages and all levels of users? And how can you ensure consistency across your models and your resulting actions no matter where they initiate in the company? With today’s analytics technologies, the conversation about open analytics and commerical analytics is no longer an either/or discussion. You can now combine the benefits of SAS and open source analytics technology systems within your organization. As we think about the entire analytics life cycle, it’s important to consider data preparation, deployment, performance, scalability and governance, in addition to algorithms. Within that cycle, there’s a role for open source and commercial analytics. For example, machine learning algorithms can be developed in SAS or Python, then deployed in real-time data streams within SAS Event Stream Processing, while also integrating with open systems through Java and C APIs, RESTful web services, Apache Kafka, HDFS and more.
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SAS
Published By: SAS     Published Date: Jan 04, 2019
As the pace of business continues to accelerate, forward-looking organizations are beginning to realize that it is not enough to analyze their data; they must also take action on it. To do this, more businesses are beginning to systematically operationalize their analytics as part of a business process. Operationalizing and embedding analytics is about integrating actionable insights into systems and business processes used to make decisions. These systems might be automated or provide manual, actionable insights. Analytics are currently being embedded into dashboards, applications, devices, systems, and databases. Examples run from simple to complex and organizations are at different stages of operational deployment. Newer examples of operational analytics include support for logistics, customer call centers, fraud detection, and recommendation engines to name just a few. Embedding analytics is certainly not new but has been gaining more attention recently as data volumes and the freq
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SAS
Published By: Esker     Published Date: Jun 29, 2017
Wasted time is wasted money — and accounts receivable (AR) departments can waste a lot of both with antiquated billing and collections methods. Download the new white paper‚ Winning the Billing & Collections Battle‚ to learn how your organization can overcome common obstacles in every phase of AR by: • Automating invoice delivery without format restrictions • Giving your customers self-service access to invoices • Modernizing post-sale collections interactions • Going beyond DSO with advanced KPIs and analytics With a complete AR management solution‚ time and money is on your side!
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accounts receivable management, invoice management, collections management, ar best practices, invoice portal, invoice delivery
    
Esker
Published By: IBM     Published Date: Oct 10, 2013
IBM MobileFirst is designed to enable organizations turn their interactions into an opportunity to drive return on engagement and investment. IBM combines deep industry expertise with mobile, analytics, cloud, social and security technologies. This can help enterprises capture new markets, efficiently extend their businesses to mobile employees, customers and business partners and maintain the integrity of their assets.
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ibm, mobilefirst, business in motion, mobile enterprise, user interactions, return on engagement, return on investment, roi
    
IBM
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