action analytics

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Published By: Adobe     Published Date: Sep 28, 2010
This IDC Government Insights White Paper discusses government's new efforts to achieve its goals regarding service delivery to citizens, businesses, and other government agencies.
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adobe, government enterprise, service delivery, customer interaction, data sharing, intelligent application, business analytics, business process management
    
Adobe
Published By: Adobe     Published Date: Mar 21, 2017
Digital marketing technologies have transformed both anonymous and authenticated interactions. Online ads, websites, and search reach more anonymous consumers for less, with much better segmentation and measurement. They’ve also added entirely new capabilities like behavioral monitoring and predictive analytics.
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Adobe
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: 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: Adobe     Published Date: Sep 23, 2019
Forrester names Adobe as a Leader in customer analytics, according to the Forrester Wave: Customer Analytics Solutions, Q2 2018 report. SUPPORTING CONCEPTS: • We’re a Leader. But we won’t stop there. Adobe Analytics provides a superior product, executive vision, and strategy. We understand the needs of today’s marketers and customer insights professions, while staying ahead of the curve on future analytics trends. • Adobe Analytics fuels insight-driven customer experiences. Adobe has turned its mantra of “Make Experience Your Business” inward, by developing a marketer-friendly solution that doesn’t skimp on advanced analytical functionality. • Adobe Analytics excels at real-time conversion of insights into action, superior usability, and AI-powered customer journey analytics. • Adobe Analytics’ capabilities, such as Virtual Analyst, powered by Adobe Sensei, use artificial intelligence and machine learning to identify anomalies, contributing factors, and segment differences. What
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Adobe
Published By: Adobe     Published Date: Sep 23, 2019
Why data-driven businesses stand out from the crowd. Why Should the Target Audience Care? Enterprises need to become more data-driven by using more mature analytics tools to stand out from the crowd Supporting Concepts Smart, effective customer analytics tools helps organizations reap the rewards of increased customer satisfaction and brand loyalty. Neglecting advances in customer analytics technology could seriously impact a company's ability to compete in the future marketplace. Where do your customers and prospects sit on the customer analyticsmaturity scale? Are they leaders or are they laggards? Read "Customer Analytics: The 20 Attributes that Lead to Business Success" for insights into: • the key drivers needed within an organisation that help grow customer analytics maturity • why companies using paid analytics solutions experience more tangible benefits than those using free analytics • how to distinguish customer analytics leaders from laggards
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Adobe
Published By: Adobe     Published Date: Sep 23, 2019
Like the oxygen we breathe, journey analytics brings life to the customer behind those devices, over time getting to know their favorite pastry choice, when they’re most likely to buy gas, and how long they stay online while in the station’s café. WHY SHOULD THE TARGET AUDIENCE CARE? Business struggle to gain a holistic customer view — the skills to identify actionable insights from multichannel data are in short supply. If they could gain a holistic view of customer attributes and behaviors, they could make sure they get the right content at the right time. SUPPORTING CONCEPTS If you want your customers to enjoy seamless, personalized experiences, you need to treat them like people. That means marketing to the person — not the device. When you know a customer’s interests, wants, and needs — perhaps even before they do — you’ve succeeded at becoming a true experience business. For some, this may require a shift from analytics as a tool to analytics as a way of life. It may also m
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Adobe
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: ADP     Published Date: Nov 16, 2017
Many businesses invest in analytics technology thinking it’s a silver bullet. But data doesn’t always tell the whole story. You get percentages but not insights. Trends but not necessarily relationships or patterns. Truly impactful workforce analytics has to do more. You have to turn data into insight, and then put it into action. This workbook is designed to help you progress through the workforce analytics maturity model. The first step in the process is to identify where you stand today.
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ADP
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, knowledge management, enterprise applications, data management
    
Advizex
Published By: Alteryx, Inc.     Published Date: Sep 06, 2017
According to Forrester, the level of analytic satisfaction within organizations is on the decline.* The traditional multiple-step, multi-tool legacy approach is a slow, time-consuming, and in most cases, a costly process that prevents organizations from making faster decisions with confidence. Data analysts today need an agile solution that empowers them to take charge of the entire analytics process. Download The Definitive Guide to Self-Service Data Analytics to: Understand why traditional analytic tools designed for data scientists are not ideal for data analysts like you Learn how self-service data analytics delivers the ease of use, speed, flexibility, and scalability you require See how Alteryx stacks up against traditional data prep and analytics tools Find out how self-service data analytics bridges the gap across skills, speed, and depth of analysis to empower you to achieve ever-greater insights without coding or depending on other departments.
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Alteryx, Inc.
Published By: Aon Hewitt     Published Date: Aug 02, 2016
As the trend of moving to the Cloud continues to flow from business function to business function, other trends are emerging. As organizations transform to eliminate complex functions, standardize and integrate systems to reduce costs, and minimize nonvalue add activities, they are challenging themselves to get the most from their investment. The shift from transactional to strategic, and from reporting to actionable and predictive analytics, positions companies for growth like never before. Many organizations look to break down silos, not only within their company but also within their industries, to share lessons and leverage efficiencies from others’ learnings. Our recommendation is to start by breaking down any silos that exist between finance, HR, and IT within your organization today—and discover what moving to cloud and truly adopting the SaaS lifestyle can do for your organization.
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aon, finance, cloud, human resources
    
Aon Hewitt
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: 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: Attunity     Published Date: Jan 14, 2019
This whitepaper explores how to automate your data lake pipeline to address common challenges including how to prevent data lakes from devolving into useless data swamps and how to deliver analytics-ready data via automation. Read Increase Data Lake ROI with Streaming Data Pipelines to learn about: • Common data lake origins and challenges including integrating diverse data from multiple data source platforms, including lakes on premises and in the cloud. • Delivering real-time integration, with change data capture (CDC) technology that integrates live transactions with the data lake. • Rethinking the data lake with multi-stage methodology, continuous data ingestion and merging processes that assemble a historical data store. • Leveraging a scalable and autonomous streaming data pipeline to deliver analytics-ready data sets for better business insights. Read this Attunity whitepaper now to get ahead on your data lake strategy in 2019.
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data lake, data pipeline, change data capture, data swamp, hybrid data integration, data ingestion, streaming data, real-time data, big data, hadoop, agile analytics, cloud data lake, cloud data warehouse, data lake ingestion, data ingestion
    
Attunity
Published By: AWS     Published Date: Apr 27, 2018
Until recently, businesses that were seeking information about their customers, products, or applications, in real time, were challenged to do so. Streaming data, such as website clickstreams, application logs, and IoT device telemetry, could be ingested but not analyzed in real time for any kind of immediate action. For years, analytics were understood to be a snapshot of the past, but never a window into the present. Reports could show us yesterday’s sales figures, but not what customers are buying right now. Then, along came the cloud. With the emergence of cloud computing, and new technologies leveraging its inherent scalability and agility, streaming data can now be processed in memory, and more significantly, analyzed as it arrives, in real time. Millions to hundreds of millions of events (such as video streams or application alerts) can be collected and analyzed per hour to deliver insights that can be acted upon in an instant. From financial services to manufacturing, this rev
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AWS
Published By: AWS     Published Date: May 18, 2018
We’ve become a world of instant information. We carry mobile devices that answer questions in seconds and we track our morning runs from screens on our wrists. News spreads immediately across our social feeds, and traffic alerts direct us away from road closures. As consumers, we have come to expect answers now, in real time. Until recently, businesses that were seeking information about their customers, products, or applications, in real time, were challenged to do so. Streaming data, such as website clickstreams, application logs, and IoT device telemetry, could be ingested but not analyzed in real time for any kind of immediate action. For years, analytics were understood to be a snapshot of the past, but never a window into the present. Reports could show us yesterday’s sales figures, but not what customers are buying right now. Then, along came the cloud. With the emergence of cloud computing, and new technologies leveraging its inherent scalability and agility, streaming data
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AWS
Published By: AWS     Published Date: Jun 20, 2018
Data and analytics have become an indispensable part of gaining and keeping a competitive edge. But many legacy data warehouses introduce a new challenge for organizations trying to manage large data sets: only a fraction of their data is ever made available for analysis. We call this the “dark data” problem: companies know there is value in the data they collected, but their existing data warehouse is too complex, too slow, and just too expensive to use. A modern data warehouse is designed to support rapid data growth and interactive analytics over a variety of relational, non-relational, and streaming data types leveraging a single, easy-to-use interface. It provides a common architectural platform for leveraging new big data technologies to existing data warehouse methods, thereby enabling organizations to derive deeper business insights. Key elements of a modern data warehouse: • Data ingestion: take advantage of relational, non-relational, and streaming data sources • Federated q
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AWS
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: AWS     Published Date: Nov 28, 2018
Financial institutions run on data: collecting it, analyzing it, delivering meaningful insights, and taking action in real time. As data volumes increase, organizations demand a scalable analytics platform that can meet the needs of data scientists and business users alike. However, managing an on-premises analytics environment for a large and diverse user base can become time-consuming, costly, and unwieldy. Tableau Server on Amazon Web Services (AWS) is helping major Financial Services organizations shift data visualization and analytics workloads to the cloud. The result is fewer hours spent on manual work and more time to ask deeper questions and launch new data analyses, with easily-scalable support for large numbers of users. In this webinar, you’ll hear how one major asset management company made the shift to cloud data visualization with Tableau Server on AWS. Discover lessons learned, best practices tailored to Financial Services organizations, and starting tactics for scalable analytics on the cloud.
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AWS
Published By: AWS - ROI DNA     Published Date: Aug 09, 2018
In today's big data digital world, your organization produces large volumes of data with great velocity. Generating value from this data and guiding decision making require quick capture, analysis and action. Without strategies to turn data into insights, the data loses its value and insights become irrelevant. Real-time data inegration and analytics tools play a crucial role in harnessing your data so you can enable business and IT stakeholders to make evidence-based decisions
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AWS - ROI DNA
Published By: Brightcove     Published Date: Feb 18, 2016
Video moves business. No other form of content engages and converts more effectively than video.
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video marketing , revenue marketing, demand generation, lead generation , video , martech, marketing technology , digital marketing, marketing automation, calls to action, video analytics
    
Brightcove
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