big data success

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Published By: BillingPlatform     Published Date: Jul 30, 2019
Organization leaders and companies of all sizes are leveraging digital transformation in their industry, market, and business using a myriad of disruptive technologies like connectivity, the Internet of Things, blockchain, business intelligence and big data. CFOs who manage to get in front of these technologies will lead their businesses to greater success. This eBook illustrates how cloud-based billing management offers the quickest path toward this transformation. Download this eBook to explore how the right solution can help you: • Monetize IoT and increase revenue • Launch product innovations quickly • Automate billing to improve customer retention • Leverage the cloud to reduce costs Adapting today can mean the difference between success and obsolescence. With the right billing solution your business can thrive in these challenging times. Discover how today.
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BillingPlatform
Published By: BillingPlatform     Published Date: Jul 30, 2019
Discover How Cloud-based Billing Delivers Transformation Enterprise leaders and companies of all sizes are leveraging digital transformation through disruptive technologies like the Internet of Things, AI, business intelligence and big data. This eBook demonstrates 5 strategies for leading the charge for change within your business. Discover how to quickly leverage digital transformation in your technology stack and monetize it quickly with cloud-based billing. Download this eBook to explore how the right solution can help you: • Launch product innovations quickly • Monetize IoT and increase revenue • Automate billing to improve customer retention • Leverage the cloud to reduce costs Adapting today can mean the difference between success and obsolescence. With the right billing solution your business can thrive in these challenging times. Discover how today!
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BillingPlatform
Published By: BigCommerce     Published Date: Oct 16, 2018
Businesses who have lived through the evolution of the digital age are well aware that we’ve experienced a generational shift in technology. The rise of software as a service (SaaS), cloud, mobile, big data, the Internet of Things (IoT), social media, and other technologies have disrupted industries and changed customers’ expectations. In our always-on, buy anything anywhere world, customers want their shopping experiences to be personalized, dynamic, and convenient. As a result, many businesses are trying to reinvent themselves. Success in a fast-paced economy depends on continually adapting and innovating. Companies have to move quickly to keep up; there’s no time for disjointed technologies and old systems that don’t serve the customer-obsessed mentality needed to thrive in the digital age.
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BigCommerce
Published By: Collaborative Consulting     Published Date: Dec 20, 2013
The explosion of Big Data represents an opportunity to leverage trending attitudes in the marketplace to better segment and target customers, and enhance products and promotions. Success requires establishing a common business rationale for harnessing social media and determining a maturity model for sentiment analysis to assess existing social media capabilities.
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collaborative consulting, big data, social media, customer sentiment, influence sentiment, govern sentiment, maturity model, generate revenue, media promotions, measurable influence, maturity level
    
Collaborative Consulting
Published By: Oracle     Published Date: Jan 11, 2017
Cloud, mobile, social media, and big data were once considered intimidating new technologies by CFOs; today they are the cornerstone of any successful financial department. That’s the evolution of digitization. The role of the CFO is evolving to become more strategic and CFOs of established firms are taking notice that going digital creates value.
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Oracle
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: Oracle     Published Date: Jul 12, 2017
Relentless digital developments have created the chance for the finance team to become true strategic leaders across the business—but they have also raised expectations and generated new challenges. In this digibook, we explore the growth of cloud, social, mobile and big data, and how smart CFOs are taking advantage. We show how to use your big data analytics and smooth procurement systems as a launchpad to holding your own in the Digital Age. Each chapter is illustrated by examples from successful businesses that have embraced the new ways of working as well as guidance on how to plan for and implement the changes that are right for you.
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data analytics, digital age, digital transformation, cloud, big data, growth
    
Oracle
Published By: Trifacta     Published Date: Feb 12, 2019
In recent years, a new term in data has cropped up more frequently: DataOps. As an adaptation of the software development methodology DevOps, DataOps refers to the tools, methodology and organizational structures that businesses must adopt to improve the velocity, quality and reliability of analytics. Widely recognized as the biggest bottleneck in the analytics process, data preparation is a critical element of building a successful DataOps practice by providing speed, agility and trust in data. Join guest speaker, Forrester Senior Analyst Cinny Little, for this latest webinar focusing on how to successfully select and deploy a data preparation solution for DataOps. The presentation will include insights on data preparation found in the Forrester Wave™: Data Preparation Solutions, Q4 2018. In this recorded webinar you will learn: • Where does data preparation fit within DataOps • What are the key technical & business differentiators of data preparation solutions • How to align the righ
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Trifacta
Published By: IBM     Published Date: May 17, 2016
Wikibon conducted in-depth interviews with organizations that had achieved Big Data success and high rates of returns. These interviews determined an important generality: that Big Data winners focused on operationalizing and automating their Big Data projects. They used Inline Analytics to drive algorithms that directly connected to and facilitated automatic change in the operational systems-of-record. These algorithms were usually developed and supported by data tables derived using Deep Data Analytics from Big Data Hadoop systems and/or data warehouses. Instead of focusing on enlightening the few with pretty historical graphs, successful players focused on changing the operational systems for everybody and managed the feedback and improvement process from the company as a whole.
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ibm, big data, inline analytics, business analytics, roi
    
IBM
Published By: EMC Corporation     Published Date: Jul 07, 2013
Competitive enterprises that embark on big data strategies do so with the expectation that their businesses will transform. They don't just want answers from the data they collect and analyze, they want results. Be it with small, fledgling trials or large, cross-functional efforts, these enterprises want to see clearly how big data can make a difference - with their customers, their processes, their bottom lines and, most important, with growing the business.
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storage, enterprises, information management, technology, platform, big data analytics, emc, self service, business intelligence
    
EMC Corporation
Published By: Splunk     Published Date: Sep 10, 2018
The financial services industry has unique challenges that often prevent it from achieving its strategic goals. The keys to solving these issues are hidden in machine data—the largest category of big data—which is both untapped and full of potential. Download this white paper to learn: *How organizations can answer critical questions that have been impeding business success *How the financial services industry can make great strides in security, compliance and IT *Common machine data sources in financial services firms
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cloud monitoring, aws, azure, gcp, cloud, aws monitoring, hybrid infrastructure, distributed cloud infrastructures, reduce mttr/mtti, cloud monitoring free, cloud monitoring tools, cloud monitoring service, cloud billing monitoring, cloud monitoring architecture, cloud data monitoring, host monitoring, *nix, unix, linux, servers
    
Splunk
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: FICO     Published Date: Dec 04, 2017
Whether you’re 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 what’s right for your department – but what is best for the business overall. Not to mention what is optimal for your customers and partners. And let’s face it, even with the availability of business intelligence and other analytic tools, it’s 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: FICO     Published Date: Jan 11, 2018
Many organizations consider optimization only for their largest or most challenging business problems, often utilizing a small number of Operations Research professionals. But in our age of Big Data, market globalization and increased competition, many organizations are successfully making the case that optimization can be applied to a wider variety of business and operational decisions, and be developed by a new group of users — the organization’s business analysts. With a proven track record of results demonstrating that organizations can increase profitability with business analysts applying optimization to many types of business problems, FICO’s proven development methodology is giving organizations the confidence to extend optimization practices across their enterprises.
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business analyst, optimization, fico, partnership, credit, collections, banking, finance
    
FICO
Published By: BlueData     Published Date: Aug 19, 2015
Over the past few years, “Big Data” has evolved from an interesting technology topic into a source of major competitive advantage, in which IDG conducted a survey and found out that 60% of enterprises are planning on spending an average of $8 million on Big Data initiatives. However, somewhere between intention/investment and executive/production, Big Data initiatives are falling into a gap. Download this white paper to find out how to change the equation on Big Data spending and learn what the successful companies are doing in order to achieve a success from your Big Data applications.
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bigdata, hadoop, big data spending, big data projects, it commitments
    
BlueData
Published By: BMC ASEAN     Published Date: Dec 18, 2018
The world runs on IT operations. When new digital experiences delight customers, innovative business models disrupt industries, and big data makes organizations smarter than ever, it’s because of your success in supporting the complex, dynamic infrastructure and apps that power them.
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BMC ASEAN
Published By: BMC ASEAN     Published Date: Dec 18, 2018
Digital transformation encompasses both technological and human components. While many initiatives focus on ensuring that a company’s multi-cloud infrastructure is agile enough to meet changing demands around cloud mobile, Internet of Things (IoT), and big data, it’s equally important to empower business workers with the modern digital tools they need to be successful today. Artificial intelligence and machine learning can play a vital role on both of these fronts. In fact, 78 percent of CIOs and senior IT leaders are already looking to AI to address complexity,1 and by 2019, 30 percent of IT service desks will utilize machine learning to free up support capacity.2 The magnitude of change has forced companies to take stock of the experience they offer employees. As digital natives3 enter and advance in the workforce, talent retention is now a top priority. These workers expect to have the best tools; 93 percent of millennials cited modern and up-to-date technology as one of the most
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BMC ASEAN
Published By: QlikTech     Published Date: Aug 27, 2013
There is an incredible amount of interest in the topic of Big Data at present: for some organisations its use is an operational reality, providing unprecedented ability to store and analyse large volumes of disparate data that are critical to the organization’s competitive success. It has enabled people to identify new opportunities and solve problems they haven’t been able to solve before. Download this whitepaper to learn more.
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big data, qlikview, big data solutions, opportunity, business opportunity, competitive success, store, analyse, operational reality
    
QlikTech
Published By: Cisco     Published Date: May 15, 2015
Whitepaper focused on how leaning on bundled solutions and proven expertise can achieve big data success.
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big data, strategy, cisco, internet
    
Cisco
Published By: Teradata     Published Date: Mar 10, 2014
How the following topics help marketers in a data driven way: The Rise of Big Data, Big Data Myth, Global Perspective, Strategic Alignment, Where to Begin, The Right Technology, and Customer Success.
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teradata, data-driven marketing, rise of big data, big data myth, global perspective, strategic alignment, right technology, customer success, marketing research, search marketing, email marketing, emerging marketing, social media, branding, data management/analytics, lead generation & automation, direct mail/marketing
    
Teradata
Published By: HP     Published Date: Jan 20, 2015
Big Data is an opportunity for CSPs to create the intelligence for operating networks more efficiently, to analyze the success of the services that telcos are offering, and to create a better personal experience for their customers. Learn how to leverage the Big Data opportunity.
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big data, hp haven, scalable, secure data platform, ecosystem, security
    
HP
Published By: Datastax     Published Date: Apr 04, 2017
As the big data ecosystem continues to expand, new technologies are addressing the requirements for managing, processing, analyzing, and storing data to help companies benefit from the rich sources of information flowing into their organizations. From NoSQL databases to open source projects to commercial products offered on-premises and in the cloud, the future of big data is being driven by innovative new approaches across the data management lifecycle. The most pressing areas include real-time data processing, interactive analysis, data integration, data governance, and security. Download this report for a better understanding of the current landscape, emerging best practices and real-world successes.
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evolution, big data, technology, datastax, nosql
    
Datastax
Published By: Interactive Intelligence     Published Date: Apr 23, 2014
Customer Experience (CX) and Net Promoter Score (NPS) are two of the benchmark measurements companies now use to gauge customer satisfaction. And to understand how budgetary decisions impact CX and NPS outcomes, companies are turning to advanced contact center technology for strategic planning and big data. But business requirements to manage these outcomes successfully must incorporate back-office operations as well as the contact center. Read why.
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contact center, contact center strategy, customer experience, optimization, strategic planning, budgeting tools, workforce management solutions, call center, contact communications, big data, business analytics
    
Interactive Intelligence
Published By: Tealium     Published Date: Mar 12, 2014
In this paper, Web Analytics Demystified presents an approach towards big data that has the potential to simplify the quest for “whole customer” data and improve your company’s odds of success.
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tealium, big data, data analytics, business analytics, information technology, data distribution, tag management systems, marketing, marketing optimization, web analytics, marketing research
    
Tealium
Published By: Quantcast     Published Date: Jul 16, 2013
Increased competition in a world of growing and complex data requires tremendous resourcefulness to both find and implement scalable ways to grow your business. Using sophisticated data modeling coupled with real-time media buying, US Cellular was able to reduce their CPA to 46% below the campaign average. Read how big data works to drive customer acquisition in the complete success story.
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customer acquisitions, audience insights, strategic insights, display advertising, quantcast, real-time bidding, web analytics, data management/analytics
    
Quantcast
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