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action analytics

Results 76 - 100 of 181Sort Results By: Published Date | Title | Company Name
Published By: Oracle     Published Date: Oct 20, 2017
With the growing size and importance of information stored in today’s databases, accessing and using the right information at the right time has become increasingly critical. Real-time access and analysis of operational data is key to making faster and better business decisions, providing enterprises with unique competitive advantages. Running analytics on operational data has been difficult because operational data is stored in row format, which is best for online transaction processing (OLTP) databases, while storing data in column format is much better for analytics processing. Therefore, companies normally have both an operational database with data in row format and a separate data warehouse with data in column format, which leads to reliance on “stale data” for business decisions. With Oracle’s Database In-Memory and Oracle servers based on the SPARC S7 and SPARC M7 processors companies can now store data in memory in both row and data formats, and run analytics on their operatio
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Oracle
Published By: Oracle     Published Date: Oct 20, 2017
Databases have long served as the lifeline of the business. Therefore, it is no surprise that performance has always been top of mind. Whether it be a traditional row-formatted database to handle millions of transactions a day or a columnar database for advanced analytics to help uncover deep insights about the business, the goal is to service all requests as quickly as possible. This is especially true as organizations look to gain an edge on their competition by analyzing data from their transactional (OLTP) database to make more informed business decisions. The traditional model (see Figure 1) for doing this leverages two separate sets of resources, with an ETL being required to transfer the data from the OLTP database to a data warehouse for analysis. Two obvious problems exist with this implementation. First, I/O bottlenecks can quickly arise because the databases reside on disk and second, analysis is constantly being done on stale data. In-memory databases have helped address p
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Oracle
Published By: Adobe     Published Date: Jul 15, 2019
With an ever-growing array of customer interactions, especially digital, businesses are rapidly looking to gain competitive advantage by using data and insights at scale to create and activate 360-degree profiles of their customers to deliver a better experience. In a rush to accelerate digital growth and improve their business strategies, many global enterprises have built soiled, redundant technology environments, resulting in inaccurate, or worse, conflicting views of their customer's brand interactions. For example, Forrester's research reveals that 90% of enterprises use multiple analytics tools.
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Adobe
Published By: Adobe     Published Date: Jul 15, 2019
Avec un nombre sans cesse croissant d’interactions client, notamment digitales, les entreprises cherchent rapidement à obtenir un avantage concurrentiel en utilisant des données et des informations à grande échelle pour créer et activer des profils à 360 degrés de leurs clients afin d’offrir une meilleure expérience. Pressées d’accélérer leur croissance digitale et d’améliorer leurs stratégies commerciales, de nombreuses entreprises mondiales ont mis en place des environnements technologiques cloisonnés et redondants, ce qui a donné lieu à des points de vue inexacts ou, pire encore, contradictoires sur les interactions de leurs clients avec leur marque. Par exemple, l’étude menée par Forrester révèle que 90 % des entreprises utilisent plusieurs outils d’analytics
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Adobe
Published By: Pentaho     Published Date: Mar 08, 2016
If you’re evaluating big data integration platforms, you know that with the increasing number of tools and technologies out there, it can be difficult to separate meaningful information from the hype, and identify the right technology to solve your unique big data problem. This analyst research provides a concise overview of big data integration technologies, and reviews key things to consider when creating an integrated big data environment that blends new technologies with existing BI systems to meet your business goals. Read the Buyer’s Guide to Big Data Integration by CITO Research to learn: • What tools are most useful for working with Big Data, Hadoop, and existing transactional databases • How to create an effective “data supply chain” • How to succeed with complex data on-boarding using automation for more reliable data ingestion • The best ways to connect, transport, and transform data for data exploration, analytics and compliance
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data, buyer guide, integration, technology, platform, research, enterprise applications
    
Pentaho
Published By: IBM     Published Date: Aug 31, 2012
As those hosting transactional data on System z today already realize, it is one of the most secure, highly available and reliable platforms on the market - now see how organizations are bringing their analytics to IBM System z to better harness their data and gain greater business insights while containing cost and reducing complexity.
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IBM
Published By: CareCloud     Published Date: Jan 08, 2014
The power of analytics is undeniable, but before moving your practice into the future you should know where you stand today. This whitepaper will teach you to implement a healthcare analytics strategy at your practice, which is essential to improving productivity, increasing profitability and improving patient outcomes. Download this white paper and learn how to: • Assess and improve healthcare analytics reporting capabilities • Optimize medical practice efficiency in real-time • Evaluate what you need from the right analytics system • Manage patient populations more effectively • Maximize profitability through data-driven decision-making, and more.
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carecloud, actionable analytics, real time, business intelligence, meaningful use, patient data
    
CareCloud
Published 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
Published By: Equinix     Published Date: Oct 20, 2015
Enterprises must prepare for the emerging digital user. Future interactions among people, whether enterprise employees, partners or customers, will be primarily digital and heavily influenced by mobile devices, social media, analytics and the cloud. User interactions with systems of record, such as databases and files, will largely give way to interactions with systems of engagement, such as social media.
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enterprise, digital user, user interaction, systems of engagement, analytics and the cloud, mobile devices, social media, enterprise applications
    
Equinix
Published By: AWS     Published Date: Nov 15, 2018
"Getting the right analytics, quickly and easily, is important to help grow your organization. But analytics isn’t just about collecting and exploring data. The truly important step resides in converting this data into actionable insights. Acquiring these insights requires some planning ahead. While ease of deployment, time-to-insight, and cost are all important, there are several more assessments you need to take before choosing the right solution. Learn the 8 must-have features to look for in data visualization. Download this white paper to learn how TIBCO® Spotfire® in AWS Marketplace assist in providing you advanced, cost-effective analytics."
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AWS
Published By: AWS     Published Date: Jan 03, 2019
Managing your data can be a challenge, but establishing an analytics solution that every user can navigate, regardless of skillset, is where organizations often need help. TIBCO® Spotfire® features AI-driven data visualizations and dashboards, which helps enables each organizational role to discover and deliver valuable insights with ease. Riteway Sales and Marketing, which helps many Southeastern supermarkets execute strategies, leveraged the power of TIBCO Spotfire to better understand individual product performance throughout their stores, achieving exponentially faster time to insight than their previous solution allowed. Watch this on-demand webinar to learn how TIBCO Spotfire, when leveraged on Amazon Web Services cloud, can help you generate deep insights in minutes. You’ll learn: • How to generate relevant, actionable insights from any data, anywhere • Some of the best practices for leveraging AI-driven visual and predictive analytics solutions in the cloud • How to
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AWS
Published By: Genesys     Published Date: Jun 11, 2018
When you can anticipate customer needs, you can provide a customer experience that reduces frustration, increases satisfaction and creates better business results. Genesys Altocloud uses live analytics, powered by machine learning, to give you real-time insight into the customer experience. You can anticipate customer behavior, personalize journeys and use feedback to continuously tune your analytics to achieve desired business outcomes. Download the white paper and learn how to make better use of your analytics: • Automate responses that optimize the journey • identify and engage with customers before they contact you • Use predictive analytics and machine learning to drive outcomes
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customer needs, customer experience, customer behavior, customer journey
    
Genesys
Published By: Forcepoint     Published Date: May 14, 2019
In Philip K. Dick's 1956 "The Minority Report," murder ceased to occur due to the work of the "Pre-Crime Division," that anticipated and prevented killings before they happened. Today, we are only beginning to see the impact of predictive analytics upon cybersecurity – especially for insider threat detection and prevention. Based on user interaction with data, CISOs and their teams emerge as the IT equivalent of a Pre-Crime Division, empowered to intervene before a violation is ever committed. Watch this webcast where we examine the technologies which make predictive analytics valuable, along with ethically minded guidance to strike the balance between vigilance and privacy.
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Forcepoint
Published By: Artemis Health     Published Date: Feb 05, 2019
Self-insured employers are mining their health and benefits data to save costs and provide quality care for employees. Data is driving business decisions, but how do you get from millions of rows of data to a consumable graph to taking action? In this white paper, we’ll delve into data analytics best practices that help self-insured employers find actionable insights in their benefits data. • Which data sources will help you ensure you’re measuring the right thing at the right time • How to ensure data variety and choose key metrics • An example of a successful predictive analysis using benefits data
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Artemis Health
Published By: Aprimo     Published Date: Apr 09, 2012
The key best practices for next best action in CRM are to align it with key business imperatives; deliver it through priority customer-interaction channels; inform targeted offers with trustworthy customer data; drive it from advanced analytics and rules; and use it to shape multichannel conversations with customers.
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aprimo, marketing, customer relations, crm, customer satisfaction, customer data, marketing strategy
    
Aprimo
Published By: Aprimo     Published Date: May 01, 2012
The key best practices for next best action in CRM are to align it with key business imperatives; deliver it through priority customer-interaction channels; inform targeted offers with trustworthy customer data; drive it from advanced analytics and rules; and use it to shape multichannel conversations with customers.
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aprimo, marketing, customer relations, crm, customer satisfaction, customer data, marketing strategy
    
Aprimo
Published By: Citrix Systems     Published Date: Nov 10, 2014
Don't let poor performance and inadequate security constrain your enterprise mobility initiatives. Accelerate and protect your mobile workspaces with innovative NetScaler MobileStream technology from Citrix.
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optimization, enterprise, cloud services, mobile apps, virtual desktop, visibility, enterprise, organization, insight, real-time, traffic, native web, application, action analytics, netscaler, solve, control, wireless
    
Citrix Systems
Published By: Citrix Systems     Published Date: Nov 10, 2014
Citrix NetScaler helps your organization fully optimize, secure and control the delivery of all enterprise and cloud services. NetScaler Insight Center and ActionAnalytics deliver unprecedented visibility and enables real-time control in response to network traffic from a variety of services such as native web and mobile apps and virtual desktops.
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optimization, enterprise, cloud services, mobile apps, virtual desktop, visibility, enterprise, organization, insight, real-time, traffic, native web, application, action analytics, netscaler, solve, control, wireless
    
Citrix Systems
Published By: Citrix Systems     Published Date: Nov 10, 2014
Many organizations are struggling with network infrastructure that is vastly outdated, and with the rise in cloud computing, the time to upgrade is now. Cloud-based network solutions for application delivery are a great way for businesses to ensure high levels of performance, security and flexibility. This guide explores two solutions that organizations use to build a network for today's evolving enterprise and how you can fully address cloud requirements for secure application delivery. Read now for this vital information on cloud networking!
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optimization, enterprise, cloud services, mobile apps, virtual desktop, visibility, enterprise, organization, insight, real-time, traffic, native web, application, action analytics, netscaler, solve, control, security, data center
    
Citrix Systems
Published By: OpenText     Published Date: Mar 20, 2012
The report highlights industry best practices for establishing and nurturing CEM programs that delight customers while improving overall business results.
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marketing, customer experience, customer satisfaction, analytics, customer service, aberdeen
    
OpenText
Published By: Advizex     Published Date: Sep 25, 2013
The challenge of Big Data is more than a question of size; it’s about time to insight and action. With the exponential growth of unstructured data such as social media, video and the raw data generated by smartphones and other “intelligent” machines, businesses are buried under an avalanche of data that renders even best-effort analytics slow and sometimes unreliable. As many businesses are learning in this age of Big Data, it’s not just what you know, but when you know it and how much you trust it. Download this white paper and learn that with SAP HANA, companies can react intelligently at the speed of thought to capture new opportunities.
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sap hana, sap, real time analytics, raw data, generation, analytics, big data, business intelligence, trusting big data, insight, action, enterprise applications
    
Advizex
Published By: Teradata     Published Date: Mar 10, 2014
A look at the importance of customer data-who they are, what they do, what they're interested in, what motivates them-in creating a holistic customer view. This paper looks at how data-driven marketing creates more loyal and more satisfied customers.
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teradata, customer view, data-driven marketing, loyalty, customer satisfaction, analytics, customer engagement, digital marketing
    
Teradata
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 everyone’s workflow — from the marketing department to the executive team. To seize and capitalize on the data you already have, it’s important for analysts and marketers to rethink data—shifting from a reporting mindset to an action mindset. 74% of organizations want to be data driven, yet only 29% say they’re good at connecting analytics to action.
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Adobe
Published By: HP     Published Date: Oct 29, 2014
Tired of dealing with ID10T errors? Wouldn't life be easier if you reduced the number of ID10T errors and focused more on the critical issues? HP Service Anywhere seamlessly connects service quality, customer satisfaction and staff efficiency through its easy-to-use social collaborative capabilities. The only service desk with embedded Big Data technology, HP Service Anywhere delivers connected intelligence to IT and business users to support proactive problem solving and actionable analytics.
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itsm, itil, saas help desk, itil service desk, itil service management, itil change management, itil problem management, hp service anywhere, it management
    
HP
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
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