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analytics insights

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By: Adobe     Published Date: Jan 31, 2013
In order to drive effectiveness and improve efficiency, CMOs require analytical insights to make and execute marketing decisions. Download this Gartner report to learn more.
Tags : marketing analytics, customer life cycle, data management, marketing insights, market research
     Adobe
By: Adobe     Published Date: Nov 05, 2014
When mobile is done right, businesses reap the benefits. Companies using mobile analytics see an 11.2% increase in marketing ROI compared to a 15.9% decrease for companies that don’t. The Aberdeen Group report, Mobile Analytics: Precision Marketing across Mobile Touch-Points, provides insights into better mobile strategies. Read the report to see how incorporating analytics into your mobile marketing strategy will: • Increase brand awareness • Raise your return on marketing investments • Boost average order value • Improve time-to-market of products and services
Tags : mobile analytics, precision marketing, mobile touch-points, mobile analytics, emerging marketing, marketing research, branding, data management/analytics
     Adobe
By: Adobe     Published Date: Dec 08, 2014
Mobile is more than likely a part of your marketing mix, but chances are, you haven’t defined the metrics you need to measure its success. The Forrester paper, Make the most of analytics to meet your mobile objectives, shares insights from mobile executives and lays out the steps marketers need to take to improve mobile effectiveness.
Tags : mobile objectives, mobile measurements, mobile analytics, mobile effectiveness, emerging marketing, internet marketing, marketing research, data management/analytics
     Adobe
By: Adobe     Published Date: Jan 12, 2015
When mobile is done right, businesses reap the benefits. Companies using mobile analytics see an 11.2% increase in marketing ROI compared to a 15.9% decrease for companies that don’t. The Aberdeen Group report, Mobile Analytics: Precision Marketing across Mobile Touch-Points, provides insights into better mobile strategies.
Tags : adobe, mobile, marketing, demand, customers, analytics, strategy, cmo
     Adobe
By: Adobe     Published Date: Jan 12, 2015
Mobile is more than likely a part of your marketing mix, but chances are, you haven’t defined the metrics you need to measure its success. The Forrester paper, Make the most of analytics to meet your mobile objectives, shares insights from mobile executives and lays out the steps marketers need to take to improve mobile effectiveness.
Tags : adobe, mobile, marketing, mix, analytics, measure, success, executives
     Adobe
By: Adobe     Published Date: Jan 12, 2015
The more consumers interact with media, the more marketers know about their habits, and the less time they need to plan and guess actions. Mix Optimization Takes Over Planning, a new Forrester Research, Inc. report, shows why it’s important for marketers to transition to a marketing optimization platform and provides key steps that will help enable the transition.
Tags : adobe, marketing, mix, optimization, data, analytics, mix, brands
     Adobe
By: Adobe     Published Date: May 15, 2018
Adobe is the only Leader in Digital Intelligence Platforms. Digital intelligence with scope and depth. Your customers come to you from different places, so your data insights should do the same thing. Adobe Experience Cloud’s digital marking and analytics solutions help you combine insights from existing, new, and emerging channels. Read the Forrester Wave™: Digital Intelligence Platforms, Q2 2017 to find out why we stand alone among DI platform vendors.
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     Adobe
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
By: Adobe     Published Date: Oct 24, 2018
Marketing leaders are asking their analytics teams to provide better insights into customers, prospects and journeys, and a more accurate assessment of the impact of marketing tactics. Use this research to find a digital marketing analytics tool to support your needs.
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     Adobe
By: Adobe     Published Date: Nov 02, 2018
In our 39-criteria evaluation of customer analytics solutions providers, we identified the nine most significant ones — Adobe, AgilOne, IBM, Manthan, NGDATA, Salesforce, SAP, SAS, and Teradata — and researched, analyzed, and scored them. This report shows how each provider measures up and helps customer insights (CI) professionals make the right choice.
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     Adobe
By: Adobe     Published Date: Nov 09, 2017
Marketing leaders are asking their analytics teams to provide better insights into customers, prospects and journeys, and a more accurate assessment of the impact of marketing tactics. Use this research to find a digital marketing analytics tool to support your needs. This Magic Quadrant is intended for chief marketing of?cers (CMOs), marketing analytics and data science practitioners, and other digital marketing leaders involved in the selection of systems to support marketing analytics requirements.
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     Adobe
By: Adobe     Published Date: Mar 26, 2018
Marketing leaders are asking their analytics teams to provide better insights into customers, prospects and journeys, and a more accurate assessment of the impact of marketing tactics. Use this research to find a digital marketing analytics tool to support your needs.
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     Adobe
By: Adobe     Published Date: Mar 26, 2018
Marketing leaders rely on analytics teams to deliver better measurement, insights and optimization. Use this research to evaluate your organization's current analytics tools and identify new solutions aligned to your goals.
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     Adobe
By: Adobe     Published Date: May 04, 2018
Adobe is the only Leader in Digital Intelligence Platforms. Digital intelligence with scope and depth. Your customers come to you from different places, so your data insights should do the same thing. Adobe Experience Cloud’s digital marking and analytics solutions help you combine insights from existing, new, and emerging channels. Read the Forrester Wave™: Digital Intelligence Platforms, Q2 2017 to find out why we stand alone among DI platform vendors.
Tags : 
     Adobe
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
By: Alteryx, Inc.     Published Date: Sep 06, 2017
Read this whitepaper and see why the shift toward self-service data analytics is empowering leading analysts and analytic teams to improve processes, eliminate repetitive tasks, build better relationships with IT, and deliver deeper insights faster.
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     Alteryx, Inc.
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.
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
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.
Tags : data lake, data pipeline, change data capture, data swamp, hybrid data integration, data ingestion, streaming data, real-time data
     Attunity
By: Avi Networks     Published Date: May 14, 2018
Avi Vantage is the only solution that delivers built-in application analytics in addition to enterprise-grade load balancing and application security. With millions of data points collected in real time, the platform delivers network-DVR like capabilities with the ability to record and display application analytics over specific time intervals (last 15 minutes, hour, day, week etc.) or for individual transactions. These application insights including total round trip time for each transaction, application health scores, errors, end user statistics, and security insights (DDoS attacks, SSL vulnerabilities, ciphers etc.) simplify troubleshooting of applications.
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     Avi Networks
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
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
By: AWS     Published Date: Aug 20, 2018
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 querying: ability to run a query across heterogeneous sources of data • Data consumption: support numerous types of analysis - ad-hoc exploration, predefined reporting/dashboards, predictive and advanced analytics
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     AWS
By: AWS     Published Date: Nov 15, 2018
It isn’t always easy to keep pace with today’s high volume of data, especially when it’s coming at you from a diverse number of sources. Tracking these analytics can place a strain on IT, who must provide the requested information to C-suite and analysts. Unless this process can happen quickly, the insights grow stale. Download your complimentary ebook now to see how Matillion ETL for Amazon Redshift makes it easy for technical and business users alike to participate and own the entire data and analysis process. With Matillion ETL for Amazon Redshift, everyone from CTOs to marketing analysts can generate valuable business intelligence by automating data and analytics orchestrations.
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     AWS
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
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