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analytics technology

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By: SPSS     Published Date: Mar 31, 2009
This whitepaper details how predictive analysis can help your business.  Predictive analytics help you make better, faster decisions, giving your organization a significant competitive advantage in the technology sector.
Tags : spss, predictive analysis, roi, data, data driven decision making, mitigate risk, fraud, real time intelligence
     SPSS
By: Adobe     Published Date: Apr 17, 2014
Discover new opportunities for maturing your data practices—and building your business results. You’ll learn how to move beyond mere web analytics to build a more comprehensive marketing analytics approach that includes mobile, social, and offline channels. And you’ll see how your current analytics capabilities compare to those of similar organizations and where you have opportunities for improvement.
Tags : adobe, analytics, marketing, data collection, data automation, marketing automation, web analytics, marketing analytics
     Adobe
By: LogMeIn     Published Date: Mar 19, 2015
Remote support technology, including remote control, desktop sharing, and web collaboration, is one of the most popular platforms used across TSIA service disciplines. Today’s remote support solutions offer much more than just remote control for PCs, their functional footprint is expanding to include support for more devices and richer analytics for trend analysis and supervisor dashboards. Remote support solutions are typically well regarded by users, consistently delivering one of the highest average satisfaction scores in TSIA’s annual Global Technology Survey. Service executives should acquaint themselves with the new features and capabilities being introduced by leading remote support platforms and find ways to leverage the capabilities beyond technical support. Field services, education services, professional services, and managed services are all increasing adoption of these tools to boost productivity and avoid on-site visits. Download this white paper to learn more.
Tags : remote support, remote technology, customer support, productivity, remote technology, crm & customer care, marketing research, sales
     LogMeIn
By: Engagio     Published Date: Jun 28, 2018
ooking for an Account Based Marketing solution? Read The Forrester New Wave™: ABM Platforms, Q2 2018 2018 Forrester Wave Report to learn why Engagio was named a strong performer. Customers praised Engagio’s ability to orchestrate marketing and sales motions as well as the breadth and depth of its analytics and assessment capabilities. Read to discover: - The 14 ABM providers that matter the most and how they stack up - How to select the right technology partner for your ABM needs - The Forrester ABM platform evaluation criteria used - Why Engagio was named a Strong Performer
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     Engagio
By: SAS     Published Date: Mar 06, 2018
For data scientists and business analysts who prepare data for analytics, data management technology from SAS acts like a data filter – providing a single platform that lets them access, cleanse, transform and structure data for any analytical purpose. As it removes the drudgery of routine data preparation, it reveals sparkling clean data and adds value along the way. And that can lead to higher productivity, better decisions and greater agility. SAS adheres to five data management best practices that support advanced analytics and deeper insights: • Simplify access to traditional and emerging data. • Strengthen the data scientist’s arsenal with advanced analytics techniques. • Scrub data to build quality into existing processes. • Shape data using flexible manipulation techniques. • Share metadata across data management and analytics domains.
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     SAS
By: IBM     Published Date: Feb 26, 2016
"71% of consumers do some digital research before buying an insurance policy, and 26% of those surveyed had purchased their policies online. Insurance companies are investing in interactive websites, mobile apps, and analytics software to help them optimize their processes, increase sales, improve customer service, and boost their financial standing. But is this enough to keep up? As technology continues to advance, leading insurance companies are already looking ahead to the next big advance that will transform the industry: cognitive computing."
Tags : cognitive computing, analytics software, ibm, insurance, process automation
     IBM
By: BAE Systems     Published Date: Dec 29, 2015
Learn about the challenges involved in combating first-party fraud and emerging best practices
Tags : bae systems, applied intelligence, fraud, first-party fraud, financial institution, network analytics, detection, prevention
     BAE Systems
By: Cisco     Published Date: Dec 21, 2016
Technology’s role in business and society has shifted away from largely driving efficiencies to innovating and creating engaging experiences that attract and retain customers. Innovations and business outcomes are fueled by a perfect storm of technology trends in cloud, analytics, machine learning, IoT and the emerging API Economy. The convergence of these technologies has created new opportunities for enterprises to improve business performance by acquiring customers faster while creating brand loyalty. The role of technology expands the interaction with customers beyond the core of the enterprise – away from 100% dependencies on systems of records – and towards real-time, contextual interactions. Businesses are a digital business or they are evolving to become one. This requires enterprises to re-think how they build software architectures.
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     Cisco
By: Sitecore     Published Date: Nov 04, 2009
This report highlights the strategic value of a next generation web content management system integrated with lead scoring, email marketing, customer relationship management, and web analytics. The report links the technology and practices of Best-in-Class organizations to engage customers, provide personalized experiences and manage the lead lifecycle.
Tags : sitecore, aberdeen, lifecycle management, web content management, analytics, crm, emarketing, email marketing
     Sitecore
By: Pure Storage     Published Date: Jan 12, 2018
Data is growing at amazing rates and will continue this rapid rate of growth. New techniques in data processing and analytics including AI, machine and deep learning allow specially designed applications to not only analyze data but learn from the analysis and make predictions. Computer systems consisting of multi-core CPUs or GPUs using parallel processing and extremely fast networks are required to process the data. However, legacy storage solutions are based on architectures that are decades old, un-scalable and not well suited for the massive concurrency required by machine learning. Legacy storage is becoming a bottleneck in processing big data and a new storage technology is needed to meet data analytics performance needs.
Tags : reporting, artificial intelligence, insights, organization, institution, recognition
     Pure Storage
By: IBM Software     Published Date: Sep 13, 2011
As marketing programs become more expensive, and response and conversion rates plummet, knowing your customers is key to maximizing the profitability of your direct marketing campaigns. View this brief video to learn how you can gain valuable insight into your customers' behaviors and more accurately predict how they will respond to your marketing efforts.
Tags : ibm, analytics toolkit, marketers, customer behavior, technology, profitability
     IBM Software
By: IBM     Published Date: Sep 27, 2013
Analytics: The Real-World Use of Big Data - How innovative enterprises in the midmarket extract value from uncertain data This study highlights the phases of the big data journey, the objectives and challenges of midsize organizations taking the journey, and the current state of the technology that they are using to drive results. It also offers a pragmatic course of action for midsize companies to take as they dive into this new era of computing.
Tags : ibm, big data, big data solutions, midmarket businesses, analytics
     IBM
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
By: MuleSoft     Published Date: Jan 25, 2016
IT used to be so simple. Companies owned their own technology equipment and purchased enterprise licenses for many of the applications anybody in the organization might care to use. But then the cloud emerged, and mobile, and social media, and IoT; the world of IT has never been the same. Today's businesses are software-driven enterprises with technology capability distributed throughout the company, utilizing countless third-party cloud-based applications. This new organization requires an cultural shift in the IT organization. Read this whitepaper to learn: -How businesses can reorganize themselves into lightweight, agile, modular businesses able to respond to innovations in SaaS, mobile, and analytics -How to build a technological architecture that can accommodate new technology yet still extract value from on-premises systems -The advantages of an API-led connected architecture vs. old SOA approaches
Tags : technology, enterprise applications, best practices, business optimization, technology architecture
     MuleSoft
By: 8x8 Inc.     Published Date: Jun 16, 2017
Do attitudes to IT adoption vary depending on your seniority within a business? And could this be holding back adoption of technology? These are key questions explored in this paper, which compares the views of mid-level ‘hands on’ IT managers with those of senior directors within British companies. Across both groups, there is a sense that UK business in general is too wary of implementing new technology. But there is a significant divergence of opinion when it comes to a range of factors, such as the extent to which companies invest in new technology, stay on top of the latest tech, and understand its importance to the success of the business. A pattern emerges, whereby the senior leaders within companies are far happier than middle managers with the status quo around technology adoption. And IT managers even suggest that this might be driven by self preservation on the part of senior leaders.
Tags : video conferencing, instant messaging, cloud based computer system, fixed phone line, pbx, cloud based telephony system, call analytics, byod
     8x8 Inc.
By: SAS     Published Date: Jun 06, 2018
A multitude of “things” generate floods of big data – cars, wearables, machines and appliances. Wouldn’t you like to sift through that noise and become an organization that relies on data to make fact-based decisions? Learn about the three foundations of becoming data-driven – data management, analytics and visualization – and how they can increase profitability, boost performance, raise market share and improve operations. Read about hurdles to becoming a data-driven organization and learn best practices from others. Then get a glimpse of what the future holds with the Internet of Things (IoT), edge analytics, artificial intelligence (AI) and other technology innovations.
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     SAS
By: SAP     Published Date: Jul 17, 2012
Although IDC is expecting worldwide spending on business analytics software to be $33 billion in 2012, technology is only part of the story. The growing demand for faster response and deeper business insight is forcing companies to adopt a more pervasive approach to business intelligence (BI) that supports evidence-based decision making. Higher BI and analytics competency and pervasiveness are achieved when organizational culture, business processes, and technologies are designed and implemented with the goal of improving or automating all strategic, operational, and tactical decision making capabilities of all stakeholders. Access this paper to learn essential best practices for creating a solid BI and analytics strategy.
Tags : sap, best practices, business intelligence, analytics strategy, technology
     SAP
By: Epicor     Published Date: May 01, 2018
We all know the wisdom of monitoring familiar key performance indicators (KPIs). Turns, gross margin return on investment (GMROI), sales, inventory measures, and other metrics will tell you how your business is faring—and that’s pretty important if you want to keep your hardware store in business. However, just staying in business isn’t enough in a rapidly evolving retail world, so achieving improved KPI results is essential. In this Epicor eBook, you’ll learn about eight easy-to-use tools that go beyond traditional KPIs to quickly improve business results, including: • Reviewing store-to-store sales • Identifying your top 100 items • Monitoring excess inventory • Viewing items with cost change and no retail change Learn more about these tools, and discover what else you can do to improve your KPI results by downloading this Epicor eBook. Download now and go beyond retail KPIs.
Tags : retail analytics software, analytics on demand, kpi analytics software, retail kpi software, real time analytics, retail pos software, mobile pos, reporting software
     Epicor
By: Cisco EMEA     Published Date: Nov 13, 2017
Big data and analytics is a rapidly expanding field of information technology. Big data incorporates technologies and practices designed to support the collection, storage, and management of a wide variety of data types that are produced at ever increasing rates. Analytics combine statistics, machine learning, and data preprocessing in order to extract valuable information and insights from big data.
Tags : big data, analytics, virtualization, cloudera, ibm, sas, sap, splunk
     Cisco EMEA
By: Cisco     Published Date: Jan 05, 2015
The four pillars of computing — cloud, mobility, social, and analytics — are driving new levels of network innovation in datacenter networks. These forces are now buffeting the datacenter along with virtualization and the Internet of Things (IoT), resulting in sweeping changes in traffic patterns that expose the limitations of traditional networks and their operational models. To become a resource rather than a bottleneck to overall datacenter performance, the network must deliver not just exceptional performance and scalability but also unprecedented automation and orchestration that can yield agility, flexibility, and service velocity. This Technology Spotlight examines these key trends and discusses the role that Cisco's Application Centric Infrastructure (ACI) plays in addressing these ongoing challenges for enterprise IT and network managers.
Tags : cloud computing, infrastructure, marketplace, application, hybrid, enterprise
     Cisco
By: IBM     Published Date: Feb 27, 2017
Advancements in analytics have sparked renewed excitement in the consumer products (CP) industry. Maturing analytics capabilities are now delivering greater value across major CP functions including marketing, sales, merchandising, supply chain, and more. Thus helping CP companies become more consumer and customer focused in all aspects of their businesses. Read this research report conducted by 'Consumer Goods Technology' to understand how, next-gen analytics capabilities is key in unlocking a deeper understanding of customers, help create successful new products, foster brand advocates and optimize distribution channels and ultimately shape demand
Tags : cgt, analytics, consumer goods, distribution channels, advanced analytics
     IBM
By: SAS     Published Date: Mar 20, 2019
One of the best ways to learn is from your peers. How do they drive innovation? What are their challenges and business problems? And what technology and processes are they using to solve them? We’re all partners in this analytics journey. Sharing our experiences is how we learn, grow and find a better way. In this ebook, you’ll meet fellow CIOs and technology innovators. Through their stories, you’ll see how organizations of all sizes, all over the globe, encounter many of the same daily challenges. Most importantly, you’ll learn how they’re successfully overcoming them.
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     SAS
By: Adobe     Published Date: Oct 24, 2018
Adobe automates the process of turning insights into action by connecting Adobe Analytics to other solutions in Adobe Experience Cloud, including Adobe Target and Adobe Audience Manager. Four features make this possible: • Anomaly detection. The technology automatically analyzes trends and determines if they are statistically significant — in milliseconds. • Analyze play button. With analytics, you can take insights and connect them to your email, DMP, and personalization platform in seconds. • Intelligent alert. A built-in alerting system sends an SMS text or email when it detects an anomaly. There are also predictive algorithms that help you forecast how often the alert is likely to trigger. You can set these to only notify you of the most important changes. • Intelligent recommendations. It’s simply impossible to manually create every alert you might need, so Adobe is building machine learning directly into analytics to analyze users’ behaviors. Like a virtual data assistant, it co
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     Adobe
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