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data into action

Results 1 - 25 of 81Sort Results By: Published Date | Title | Company Name
Published By: Adobe     Published Date: May 15, 2014
Adobe strives to help marketers not only collect and analyze data, but to turn data into relevant actions that reach customers in personal ways. Forrester has gathered the trends of big data and rich data to give you a sense of how they'll be used differently in 2014.
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adobe, forrester, customer insights, big data, social media, mobile marketing, cross channel marketing, multi-touchpoint
    
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: AdRoll     Published Date: Oct 05, 2016
AdRoll looked in detail at the attribution strategies that agencies and brands across these markets are employing to find out how well they are leveraging their data to attract, convert and grow their customer base, as well as the challenges they face in integrating attribution into their marketing. From all of this AdRoll and Econsultancy deliver key insights and actionable insights which you can apply to your business in implementing or optimising attribution modeling.
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AdRoll
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: athenahealth     Published Date: Sep 05, 2013
Business intelligence analytics streamline the task of gathering critical data across the health care enterprise and turns it into readily accessible, actionable information. Health care business intelligence is a package of software and services that offers clarity on and control over the vast amount of data needed to successfully run a medical organization.
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health care business intelligence, business intelligence, analytics, medical organization
    
athenahealth
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
    
Attunity
Published By: Avanade DACH     Published Date: May 08, 2018
In this six-step guide, we aim to help you solve your data challenges to prepare for advanced analytics, cognitive computing, machine learning and the resulting benefits of AI. We’ll show you how to get your data house in order, scale beyond the proof of concept stage, and develop an agile approach to data management. By continually repeating the steps in this guide, you’ll sharpen your data and shape it into a truly transformational business asset. You’ll be able to overcome some of the most common business problems, and work toward making positive changes: • Improve customer satisfaction • Reduce equipment outages • Increase marketing campaign ROI • Minimize fraud loss • Improve employee retention • Increase accuracy for financial forecasts
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Avanade  DACH
Published By: Avaya     Published Date: Dec 18, 2013
Your contact center is a hotbed of activity, constantly processing calls and emails, chats and social media posts, problems and solutions. As a result, it generates the kind of “big data” that other departments wish they had. But collecting that data is just the beginning. The next step is turning it into a plan of action.
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avaya, big data, contact center, social media, software development, it management, data center
    
Avaya
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: Jul 24, 2019
What you'll learn in this webinar: Optimize your operations by taking advantage of the modern, scalable cloud infrastructure available on Amazon Web Services (AWS). Migrate your Oracle applications and databases to AWS and get all the benefits of the cloud. Migrating mission-critical Oracle databases and applications to the cloud is complex and you may feel locked into your platform. Amazon Aurora provides commercial-grade database performance and availability at a fraction of the cost. Apps Associates—an AWS Partner Network (APN) Partner and Oracle expert—can migrate enterprise workloads to the cloud, freeing customers to focus on higher-value initiatives. Watch this webinar to learn how to: Run your entire Oracle database and application environment on the cloud Take advantage of lower IT costs on the cloud and reduce your Total Cost of Ownership (TCO) Leverage Amazon Aurora to help satisfy your company’s cloud-first mandate, improve security, and reduce risk
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AWS
Published By: AWS     Published Date: Jul 29, 2019
What you'll learn in this webinar: Optimize your operations by taking advantage of the modern, scalable cloud infrastructure available on Amazon Web Services (AWS). Migrate your Oracle applications and databases to AWS and get all the benefits of the cloud. Migrating mission-critical Oracle databases and applications to the cloud is complex and you may feel locked into your platform. Amazon Aurora provides commercial-grade database performance and availability at a fraction of the cost. Apps Associates—an AWS Partner Network (APN) Partner and Oracle expert—can migrate enterprise workloads to the cloud, freeing customers to focus on higher-value initiatives. Watch this webinar to learn how to: Run your entire Oracle database and application environment on the cloud Take advantage of lower IT costs on the cloud and reduce your Total Cost of Ownership (TCO) Leverage Amazon Aurora to help satisfy your company’s cloud-first mandate, improve security, and reduce risk
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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: CA Technologies     Published Date: Jun 01, 2018
Within any organization, the most dangerous users are those with privileged access to the company’s most valuable and sensitive data assets. This includes systems administrators, business managers, partners, suppliers, and service providers, and also takes into account the automated interactions between business machines, systems, and applications. Privileged access has always been a high-risk issue, but for too long, organizations have not understood or have chosen to ignore the risks, preferring instead to rely on the integrity of the individuals and systems involved. A number of high-profile security breaches over the last two years have highlighted the damage that a rogue systems administrator or stolen privileged credentials can cause. Today, fewer than half of all business organizations have deployed the type of privileged identity management (PIM) solution that could help improve the situation. This Ovum Decision Matrix (ODM) provides an in-depth view of the leading PIM solution
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CA Technologies
Published By: CDW     Published Date: Aug 04, 2016
Tools for extracting actionable insights from growing mounds of data are becoming smarter and easier to use. Organizations are awash in data generated by customers, supply chain partners and numerous other humanand machine-based sources. With the growth of the Internet of Things (IoT) starting to churn out even more data, many enterprises are considering how to transform their growing stores of raw information into actionable insights. Business intelligence (BI) and data analytics were once mostly limited to large enterprises, but 85 percent of small and midsize businesses have expressed interest in these solutions, according Gartner subsidiary Software Advice. Further, Accuray Research reports that the global business intelligence and analytics software market is poised to grow swiftly in the coming years to approximately $24 billion by 2020.
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data, technology, data analytics, business intelligence, enterprise, data analytics, data center
    
CDW
Published By: Collibra     Published Date: May 24, 2018
This report, developed by The Economist Intelligence Unit and sponsored by Collibra, draws on a survey of more than 500 business executives.
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collibra, data governance, governance, data, intelligence, trends
    
Collibra
Published By: Coveo     Published Date: Nov 13, 2013
This eBook outlines cutting-edge strategies and technologies that transform knowledge management initiatives by turning data and information from anywhere into actionable knowledge.
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big data, internal knowledgebase, knowledge management, unified search
    
Coveo
Published By: Customer Chemistry     Published Date: Nov 14, 2006
Read this white paper to learn about the six keys to a structured approach to planning and implementation of a predictive analytics infrastructure.  Find out how you can turn customer intelligence data into actionable information for improving the accuracy, efficiency and success of your targeting efforts.
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customer intelligence, business intelligence, marketing intelligence, customer research, predictive analytics, analytics, infrastructure, customer data
    
Customer Chemistry
Published By: DataDirect Technologies     Published Date: Mar 17, 2009
Connecting to a database requires a number of independent layers. The application needs to incorporate software that establishes the connection and calls to the database. A database connectivity layer needs to be in place to help manage security, communications, and data flow with the database. The database has a set of interfaces that help translate the client requests into actions within the database engine. And with the advent of .NET, the costs of managed versus non-managed code must also be considered.
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.net, data direct, microsoft .net architecture, scaling, effective architectural design, virtual machine, intermediate language, component object model
    
DataDirect Technologies
Published By: Dell APAC     Published Date: May 29, 2019
Digital transformation (DX) is reaching a macroeconomic scale. DX business objectives are balanced between tactical and strategic objectives and range from improvement in operational efficiencies and customer satisfaction to increasing existing product revenue to improving profit margins to launching new digital revenue streams. Successful DX relies on utilizing data for services as well as converting data into actionable insights. This reliance on data is contributing to a new digital era. 3rd Platform (cloud, social, mobile, and Big Data) computing is the underpinning of DX worldwide. It enables collection of a vast breadth of data sets and delivers the agility and efficiency needed to accelerate DX
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Dell APAC
Published By: Dell APAC     Published Date: May 30, 2019
Digital transformation (DX) is reaching a macroeconomic scale. DX business objectives are balanced between tactical and strategic objectives and range from improvement in operational efficiencies and customer satisfaction to increasing existing product revenue to improving profit margins to launching new digital revenue streams. Successful DX relies on utilizing data for services as well as converting data into actionable insights. This reliance on data is contributing to a new digital era. 3rd Platform (cloud, social, mobile, and Big Data) computing is the underpinning of DX worldwide. It enables collection of a vast breadth of data sets and delivers the agility and efficiency needed to accelerate DX
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Dell APAC
Published By: Dell APAC     Published Date: May 30, 2019
Digital transformation (DX) is reaching a macroeconomic scale. DX business objectives are balanced between tactical and strategic objectives and range from improvement in operational efficiencies and customer satisfaction to increasing existing product revenue to improving profit margins to launching new digital revenue streams. Successful DX relies on utilizing data for services as well as converting data into actionable insights. This reliance on data is contributing to a new digital era. 3rd Platform (cloud, social, mobile, and Big Data) computing is the underpinning of DX worldwide. It enables collection of a vast breadth of data sets and delivers the agility and efficiency needed to accelerate DX
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Dell APAC
Published By: Dell APAC     Published Date: May 30, 2019
Digital transformation (DX) is reaching a macroeconomic scale. DX business objectives are balanced between tactical and strategic objectives and range from improvement in operational efficiencies and customer satisfaction to increasing existing product revenue to improving profit margins to launching new digital revenue streams. Successful DX relies on utilizing data for services as well as converting data into actionable insights. This reliance on data is contributing to a new digital era. 3rd Platform (cloud, social, mobile, and Big Data) computing is the underpinning of DX worldwide. It enables collection of a vast breadth of data sets and delivers the agility and efficiency needed to accelerate DX
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Dell APAC
Published By: Dell EMC     Published Date: Oct 08, 2015
Download this whitepaper to learn how to big data more manageable while condensing vast amounts of information into actionable business insights.
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Dell EMC
Published By: Domino Data Lab     Published Date: Feb 08, 2019
As organizations increasingly strive to become model-driven, they recognize the necessity of a data science platform. According to a recent survey report “Key Factors on the Journey to Become Model-Driven”, 86% of model-driven companies differentiate themselves by using a data science platform. And yet the question of whether to build or buy still remains. This paper presents a framework to facilitate the decision process, and considers the four-year projection of total costs for both approaches in a sample scenario. Read this whitepaper to understand three major factors in your decision process: Total cost of ownership - Internal build costs often run into the tens of millions Opportunity costs - Distraction from your core competency Risk factors - Missed deadlines and delayed time to market
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Domino Data Lab
Published By: Drillinginfo     Published Date: Nov 26, 2015
Today data sources are still not detailed enough to support competitive decision-making, and that’s what makes Drillinginfo (DI) so innovative: The DI platform offers the most inclusive, accurate, and fastest information available, allowing OFS companies to make informed decisions and drive the best leads — that can turn into opportunities. With DI, OFS companies can now make rig data useful quickly and easily. Sales managers can work crucial data into an actionable format, provide and implement the right analytical tools, and supplement lead intelligence, so operators don’t get left in the dust. From permitting and leasing information to rig locations and pricing trends, you’ll find innovative products and solutions from DI to help transform how your team qualifies leads and closes deals. See how Drillinginfo can drive your success by gathering the very latest rig intelligence from a comprehensive, easy-to-use SAS solution.
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ofs companies, leads, data, analytical tools, oilfield, leasing information, mobile app, rig intelligence
    
Drillinginfo
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