customer data and analytics

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Published By: MicroStrategy     Published Date: Aug 21, 2019
Ready or not, the future is here. For enterprise organizations, it must be a data-driven one. Whoever can use technology to transform the customer experience, and be the first to discover and deliver on new business models, will be the disruptor. Those who cant, the disrupted in this period known as the era of Digital Darwinism. The future belongs to the Intelligent Enterprise which anticipates constantly evolving regulatory, technological, market, and competitive challenges and turns them into opportunity and profit. It delivers a single version of the truth and agility. It connects to any data and distributes reports to thousands. The Intelligent Enterprise goes beyond business intelligence, delivering transformative insight to every user, constituent and partner. Are most organizations there yet? As brands hone and focus their 2020 (and even 2030) vision, MicroStrategy has surveyed 500 enterprise analytics professionals on the state of their organizations analytics initiatives.
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MicroStrategy
Published By: MoreVisibility     Published Date: Dec 19, 2017
As the approach to strategic business decision making becomes more and more data driven, a method for consolidating our various data sets, which are often spread across multiple systems becomes exceedingly important. Two of the biggest players in data driven decision making are website analytics platforms and customer relationship management systems. The former includes accumulating data on top of the funnel behavior such as site traffic origins, lead generation, content consumption tracking, device usage, and overall site behavior. While the latter has a focus more on bottom of the funnel activity such as lead nurturing, customer status, lifetime value, etc. Lastly, without communication between these two essential platforms, a complete understanding of your customers, from lead to longtime client, may never be possible. A web analytics (Google Analytics) and CRM integration provides you with a 360 degree view of your customer base, so that you can understand not just what PPC efforts
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MoreVisibility
Published By: GoodData     Published Date: Aug 02, 2013
Salesforce provides a tremendous repository of customer information and interactions thats organized and easily accessed. But thats 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: VisiStat     Published Date: Mar 22, 2007
This report outlines five important "insider" secrets for measuring the effectiveness of your Website, along with tips on how to turn it into a lead generation machine.
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website traffic, visitor tracking, web analytics, web metrics, site analysis, online marketing, site management, increase sales
    
VisiStat
Published By: SAS     Published Date: Jan 17, 2018
The Industrial Internet of Things (IIoT) is flooding todays industrial sector with data. Information is streaming in from many sources equipment on production lines, sensors at customer facilities, sales data, and much more. Harvesting insights means filtering out the noise to arrive at actionable intelligence. This report shows how to craft a strategy to gain a competitive edge. It explains how to evaluate IIoT solutions, including what to look for in end-to-end analytics solutions. Finally, it shows how SAS has combined its analytics expertise with Intels leadership in IIoT information architecture to create solutions that turn raw data into valuable insights.
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SAS
Published By: SAS     Published Date: Jun 05, 2017
"The Industrial Internet of Things (IIoT) is flooding todays industrial sector with data. Information is streaming in from many sources equipment on production lines, sensors at customer facilities, sales data, and much more. Harvesting insights means filtering out the noise to arrive at actionable intelligence. This report shows how to craft a strategy to gain a competitive edge. It explains how to evaluate IIoT solutions, including what to look for in end-to-end analytics solutions. Finally, it shows how SAS has combined its analytics expertise with Intels leadership in IIoT information architecture to create solutions that turn raw data into valuable insights. "
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SAS
Published By: Aberdeen Group     Published Date: Nov 13, 2015
Aberdeens research shows that 90% of Best-in-Class marketers report fueling lead generation efforts with content marketing. What do you need to know to follow this best practice of the Best-in-Class? Thats exactly what this Knowledge Brief is intended to uncover.
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customer acquisition, marketing leads, marketing challenges, marketing messages, contact management, data science, demand generation, email marketing
    
Aberdeen Group
Published By: FICO EMEA     Published Date: Feb 11, 2019
The automotive leasing and financing industry is facing its most competitive times. Market disruptors are moving quickly, leveraging technology to provide polished and high-value customer experiences to lure business away from more traditional lenders. However, the use of smart technology and automated credit decisioning can enable auto lenders to make accurate lending decisions and gain a competitive edge. Learn how you can: Issue accurate and immediate credit financing decisions at the point of sale Reduce delinquencies and credit losses Grow your lending portfolio Create winning offers using data and analytics Speed up credit decisions to prospects and stay competitive Use smart analytics to enhance the customer service experience Download the case study round up Digital Transformation for Automotive Finance to learn how you can transform your business.
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collections treatment optimisation, customer retention, lending decision, collection optimisation, debt managemen, auto leasing financing, automated credit decisioning
    
FICO EMEA
Published By: SAS     Published Date: Apr 20, 2017
Enterprises routinely claim to be focused on the customer experience, yet few really keep that promise. Whats in the way? Fragmentation and complexity in both customer data and customer-facing processes. IIA spoke with Wilson Raj, Global Director of Customer Intelligence, and Jonathan Moran, Customer Intelligence Product Marketing at SAS Institute Inc. about how organizations can leverage technology platforms and analytics to become more completely and genuinely customer-centric making connections in the right way, at the right time, and on the right device.
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SAS
Published By: IBM     Published Date: Jan 27, 2017
High-priority big data and analytics projects often target customer-centric outcomes such as improving customer loyalty or improving up-selling. In fact, an IBM Institute for Business Value study found that nearly half of all organizations with active big data pilots or implementations identified customer-c entric outcomes as a top objective (see Figure 1).1 However, big data and analytics can also help companies understand how changes to products or services will impact customers, as well as address aspects of security and intelligence, risk and financial management, and operational optimization.
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IBM
Published By: IBM     Published Date: Jul 26, 2017
With the advent of big data, organizations worldwide are attempting to use data and analytics to solve problems previously out of their reach. Many are applying big data and analytics to create competitive advantage within their markets, often focusing on building a thorough understanding of their customer base. High-priority big data and analytics projects often target customer-centric outcomes such as improving customer loyalty or improving up-selling. In fact, an IBM Institute for Business Value study found that nearly half of all organizations with active big data pilots or implementations identified customer-centric outcomes as a top objective (see Figure 1).1 However, big data and analytics can also help companies understand how changes to products or services will impact customers, as well as address aspects of security and intelligence, risk and financial management, and operational optimization.
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customer analytics, data matching, big data, competitive advantage, customer loyalty
    
IBM
Published By: Adobe     Published Date: Jun 29, 2012
The volume of customer data that marketing departments possess continues to grow at explosive rates. But new research from the Aberdeen Group finds that less than 40% of marketers use this information to optimize and target their campaigns. This "data rich, insight poor" phenomenon is examined in their new white paper, which identifies common analytics challenges-and shows how you can rise above them.
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adobe, cmo, analytics, marketing, aberdeen, optimize, campaign, optimization
    
Adobe
Published By: SAS     Published Date: Mar 01, 2012
Learn what criteria distinguished certain companies as top performers within the SMB sector, the factors to consider when assessing your organization's BI competency and the required actions to achieve best-in-class performance.
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sas, analytics, business analytics, business intelligence, customer intelligence, data management, fraud & financial crimes, high-performance analytics
    
SAS
Published By: RedPoint Global     Published Date: May 11, 2017
Practical perspectives on leveraging data to grow sales, cut costs, up-sell more effectively and make better decisions. Marketers overwhelmingly agree they have access to more than enough data. The problem is finding actionable ways to utilize data that is collected across all customer interaction points to better engage with customer and increase lifetime customer value. This white paper explores the relevance of big data for marketers: what they need to know and the steps they should take today to embrace data and analytics to position their organizations for success today.
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customer retention, customer experience, real-time personalization, customer insights
    
RedPoint Global
Published By: FICO     Published Date: Dec 04, 2017
Whether youre onboarding new customers, cross- or up-selling, getting your supply chain or logistics right, or even collecting unpaid debt, making the best choice of decisions means weighing not just whats right for your department but what is best for the business overall. Not to mention what is optimal for your customers and partners. And lets face it, even with the availability of business intelligence and other analytic tools, its hard to know what constitutes the right actions to take in an era where Big Data consistently throws you curveballs. Prescriptive Analytics can help but for most organizations, there are more questions and concerns than answers about how to implement it successfully. Read our white paper on how Prescriptive Analytics can transform your business decisions and actions leveraging your existing analytics investment and organizational DNA while helping you drive transparency, customer experience, and profits
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business, results, optimal, customer, experience, tools, analytics, big data
    
FICO
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 customers 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: IBM     Published Date: Oct 21, 2016
Between the Internet of Things, customer experience and loyalty programs, social network monitoring, connected enterprise systems and other information sources, today's organizations have access to more data than they ever had before-and frankly, more than they may know what to do with. The challenge is to not just understand that data, but actualize it and use it to recognize real business value. This ebook will walk you through a sample scenario with Albert, a data scientist who wants to put text analytics to work by using the Word2vec algorithm and other data science tools.
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ibm, analytics, aps, aps data, open data science, data science, word2vec, enterprise applications
    
IBM
Published By: Adobe     Published Date: Jun 26, 2019
Put your data in the hands of those who need it most, so they can act quickly to deliver great customer experiences. And a better bottom line. Data is no longer the domain of a few. Everyone in your organization should be thinking about it. And more importantly, acting upon it. This means taking data insights out of the realm of data scientists and making them a natural part of everyones workflow from the marketing department to the executive team. To seize and capitalize on the data you already have, its important for analysts and marketers to rethink datashifting from a reporting mindset to an action mindset. 74% of organizations want to be data driven, yet only 29% say theyre good at connecting analytics to action.
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Adobe
Published By: Dell EMC & Intel     Published Date: Mar 16, 2018
Your company is collecting more data than ever before; your customers pain points, habits, and desires all flow in and out of your business each second. To mine the most value from that data, and to get the answers you need at a competitive speed, you need to employ server solutions powerful enough to handle complex analytics software. In the Principled Technologies datacenter, we compared a legacy Dell EMC PowerEdge R720xd to the new PowerEdge R740xd (powered by Intel Xeon Scalable processors) in three storage configurations: with basic hard drives, with SATA SSDs, and with NVMe SSDs. Intel Inside. New Possibilities Outside.
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Dell EMC & Intel
Published By: Dell EMC & Intel     Published Date: Apr 13, 2018
Your company is collecting more data than ever before; your customers pain points, habits, and desires all flow in and out of your business each second. To mine the most value from that data, and to get the answers you need at a competitive speed, you need to employ server solutions powerful enough to handle complex analytics software. In the Principled Technologies datacenter, we compared a legacy Dell EMC PowerEdge R720xd powered by Intel Xeon Platinum processor to the new PowerEdge R740xd (powered by Intel Xeon Scalable processors) in three storage configurations: with basic hard drives, with SATA SSDs, and with NVMe SSDs. Intel Inside. New Possibilities Outside.
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Dell EMC & Intel
Published By: Dell EMC & Intel     Published Date: Apr 13, 2018
Your company is collecting more data than ever before; your customers pain points, habits, and desires all flow in and out of your business each second. To mine the most value from that data, and to get the answers you need at a competitive speed, you need to employ server solutions powerful enough to handle complex analytics software. In the Principled Technologies datacenter, we compared a legacy Dell EMC PowerEdge R720xd powered by Intel Xeon Platinum processor to the new PowerEdge R740xd (powered by Intel Xeon Scalable processors) in three storage configurations: with basic hard drives, with SATA SSDs, and with NVMe SSDs. Intel Inside. New Possibilities Outside.
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Dell EMC & Intel
Published By: Infosys     Published Date: May 21, 2018
Experimenting faster is a trait shared by most innovative organizations. They want to experiment with new products and promotions to see if they can unearth bold new ways of serving the customer. But this experimentation cannot be random: it needs to be guided by data and based on current customer insight. It was access to this data that was the problem for our client, a large consumer brand. It took a long time to prepare the data to a point where it could be used by business managers. So long, in fact, that the data was no longer relevant; and the moment as often lost. The company needed to be able to experiment faster but was held back by a cumbersome and ineffective analytics infrastructure.
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experiment, organizations, customer, insights, analytics
    
Infosys
Published By: FICO     Published Date: Nov 10, 2015
"ACG Michigan, a large auto insurance underwriter in the US state of Michigan, needed a user-friendly system that would enable its agents (internal and independent) to churn out precise and consistent policy quotes and underwriting decisions. They turned to FICO Blaze Advisor decision rules management system to create an enterprise decision management framework to execute decisions. Learn more on how FICO Blaze Advisor helped ACG Michigan automate its underwriting About FICO FICO (NYSE: FICO), formerly known as Fair Isaac, is a leading analytics software company, helping businesses in 90+ countries make better decisions that drive higher levels of growth, profitability and customer satisfaction. The company's groundbreaking use of Big Data and mathematical algorithms to predict consumer behavior has transformed entire industries. FICO provides analytics software and tools used across multiple industries to manage risk, fight fraud, build more profitable customer relationships, optimiz
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decision analytics, optimization, profitability
    
FICO
Published By: IBM     Published Date: Aug 08, 2012
Every day, people in your organization are struggling to make the right decisions - working with customers, partners, and each other - because they simply can't use all available data. There's too much of it for humans to internalize, understand, and apply in real time. That's why organizations that automate and optimize decisions informed by predictive analytics have a significant advantage over competitors. Read this IBM white paper and discover how decision management can help you effectively leverage your business data to support faster, more-accurate real-time decisions in virtually every area of your business. You can learn the following: the common types of business decisions and how decision management affects them; why most decisions today aren't based on any real business insight; benefits of decision management-what it is and how to adopt it; and the role of predictive analytics in effective decision management.
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ibm, technology, marketing, decision management, data, automation, optimization, business insight
    
IBM
Published By: Cisco     Published Date: Apr 20, 2016
Note: Part two of Karen Walkers blog series continues her insights about Digital Transformation and spotlights how Ciscos Marketing and Communications team is using technology to transform their function. Excerpt: Todays marketers are delivering more and more content digitally, but to be effective that digital content cant just be generic reference material. Rather, effective content must be relevant, timely, and personalized. And its goal should be to create a dialogue with the customer. This is no easy task. It requires investing in marketing technologies that help deliver personalized content with speed and agility. For modern marketers, technology opens the door to new revenue pipelines. Digital platforms and applications combined with data and analytics augment our go-to-market model.
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cisco, digital, marketing, technology, mobile, marketing strategy
    
Cisco
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