data driven decisions

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Google Analytics Premium: Optimizing data-driven marketing decisions

Published By: Google     Published Date: Dec 14, 2011
How Travelocity improved its digital marketing. Read the case study to see how Google Analytics Premium helped Travelocity optimize its digital investments and conversions.
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digital marketing, digital, marketing, google analytics, metrics, investments, digital investments, conversions
    
Google

The Ultimate Guide to Content Insights

Published By: Uberflip     Published Date: Jun 30, 2017
In this eBook, you will learn how implementing the right processes and tools to gather analytics, implement scoring, prove ROI, and create comprehensive reports on your content marketing efforts will provide the insight you need to make data-driven decisions. In turn, these decisions won’t just improve your content marketing performance, but will also allow you to meet your overarching business objectives.
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content insight, ebook, content marketing, analytics, roi
    
Uberflip

How Analytics Makes Midsize Companies More Profitable

Published By: IBM Software     Published Date: Jan 25, 2012
When senior leaders of small and midsize companies invest in analytics tools, they can improve operating results by enabling managers to make fact-based, data-driven decisions. Learn how in this report from Nucleus Research.
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ibm, cognos, technology, profits, analytics, data management, data, application integration
    
IBM Software

The Future of HR: Build a Smarter Workforce

Published By: IBM     Published Date: May 07, 2015
Join a panel of experts including Jonathan Ferrar, IBM Vice President, Smarter Workforce, to learn about: • Trends in the workforce • Attracting the very best talent and getting them productive fast • Sharing and locating collective knowledge to empower employees • Making data driven decisions
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trends in the workforce, talent acquisition, productivity, employees, hiring
    
IBM

How to Secure Your Containerized Infrastructure on AWS Cloud

Published By: AWS     Published Date: Jun 03, 2019
Background How do you maintain secure systems and operations across an elastic, complex AWS environment? As SailPoint transformed from a startup to a publicly traded company, their AWS infrastructure grew as well. With this growth, SailPoint needed to be able to identify and respond to anomalous behavior quickly, while simultaneously trying to align their organization into a cohesive DevSecOps organization. Join this webinar to learn how SailPoint gained a holistic view into their cloud infrastructure, plus how you can enable your Security and DevOps teams with in-depth insights into AWS infrastructure to make actionable, data-driven decisions to reduce risk.
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AWS

How Trupanion Became an AI-driven Company for Pets

Published By: AWS     Published Date: Jul 24, 2019
Trupanion, a Seattle-based medical insurance provider for cats and dogs, needed to find data insights quickly. With only 1% of pet owners insured, the process of evaluating a claim to approve or deny payment was manual and time-consuming. Building accurate predictive models for decision-making required manpower, time, and technology that the small company simply did not have. DataRobot Cloud, built on AWS, helped Trupanion create an automated method for building data models using machine learning that reduced the time required to process claims from minutes to seconds. Join our webinar to hear how Trupanion transformed itself into an AI-driven organization, with robust data analysis and data science project prototyping that empowered the company to make better decisions and optimize business processes in less time and at a reduced cost. Join our webinar to learn: Why you don’t need to be an expert in data science to create accurate predictive models. How you can build and deploy pr
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AWS

Three Keys to Better Data-Driven Decisions: What You Should Know... Right Now

Published By: SAP     Published Date: Jun 30, 2011
This white paper explores why today's executives still lack the relevant information or data quality to make decisions in a timely manner. Inside, learn about the biggest decisions-making challenges facings modern businesses and three keys to achieving better data-driven decisions.
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sap, smbs, high-quality data, erp software solution, decision management, data visibility, data quality, corporate strategy
    
SAP

Coop Danmark: Boosting sales and profitability with effective, data-driven markdown decisions

Published By: IBM     Published Date: Apr 13, 2015
Reducing the price of slow-selling product lines can be an effective way to drive sales and reclaim valuable selling space – but how do retailers ensure that these markdowns are profitable? Read this case study to learn how Coop Danmark replaced its complex markdown spreadsheets with Markdown Optimization solutions from IBM. Today, the company has deep insight into the optimal percentage and duration for markdowns, based on customer demand forecasts and inventory data at each retail store. This helps the company to boost sales while protecting margins.
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profitablility, ibm, markdown, optimization
    
IBM

Coop Danmark: Boosting sales and profitability with effective, data-driven markdown decisions

Published By: IBM     Published Date: Nov 25, 2014
Coop Danmark implemented IBM DemandTec Markdown Optimization – delivering insight into the right products to markdown at the best price for the optimal length of time, and helping it maximize the profitability of local price reductions.
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ibm, coop, markdown optimization solutions, smarter commerce, software development, it management, enterprise applications, platforms
    
IBM

Building your data and analytics strategy

Published By: SAS     Published Date: Mar 20, 2019
What’s on the chief data and analytics officer’s agenda? Defining and driving the data and analytics strategy for the entire organization. Ensuring information reliability. Empowering data-driven decisions across all lines of business. Wringing every last bit of value out of the data. And that’s just Monday. The challenges are many, but so are the opportunities. This e-book is full of resources to help you launch successful data analytics projects, improve data prep and go beyond conventional data governance. Read on to help your organization become truly data-driven with best practices from TDWI, see what an open approach to analytics did for Cox Automotive and Cleveland Clinic, and find out how the latest advances in AI are revolutionizing operations at Volvo Trucks and Mack Trucks.
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SAS

Nucleus Research Note: Increasing Profitability with Analytics in Midsize Companies

Published By: IBM     Published Date: Jul 07, 2014
Business analytics can empower your business managers to make more fact-based, data-driven decisions that improve operating results. Learn more in a report from Nucleus Research.
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ibm, profitability, analytics, big data, midmarket, midsize companies, data-driven decision making, predictive analytics
    
IBM

Channeling Streaming Data for a Competitive Advantage

Published By: SAS     Published Date: Apr 25, 2017
Today, data is constantly flowing in and out of organizations from electrical and mechanical sensors, RFID tags, smart meters, scanners, mobile devices, vehicles, live social media, machines and other objects. Did you know that a modern plane with more than 10,000 sensors just in the wings is expected to generate more than 7 terabytes a day? And Bain predicts that by 2020 annual revenues could exceed $470 billion for the internet of things (IoT) vendors selling hardware, software and comprehensive solutions. Analysts believe that all of this data will drive a new type of industrial revolution – one that’s driven by highly accurate, real-time analysis, alerts and actions. Increasingly, machines will automate decisions and simply notify humans with instructions. Consider the promise of the IoT, where any object can be connected to the internet and continuously send and receive data. Gartner says that by 2020, 21 billion IoT devices will be in use worldwide.
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SAS

Planning for 2016: What Every Marketing Manager Needs to Know

Published By: Workfront     Published Date: Nov 17, 2015
How will ensure your marketing initiatives’ success in 2016? Join us for a TED-style webinar on Wednesday, December 16, at 1:00 p.m. ET, with marketing thought leaders Ann Handley, Jay Baer, Joe Staples, and Mark Schaefer as they provide forward-looking recommendations on how marketing managers and executives can confront and overcome the challenges of the coming year. How your marketing team works is as important as what they’re working on. The winners in 2016 will be those teams who optimize their team’s work processes and tools for maximum creativity, efficiency, and reactivity. This webinar promises tips and tricks on how to build this kind of high-performing marketing team, including: • How to better plan, prioritize, and manage your work for a successful 2016 • Trends that impact the way marketers work and their ability to succeed • How to manage your teams to understand the full scope of work and make data-driven decisions
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Workfront

Demonstrating Impact: Pedal to the Metal

Published By: Adobe     Published Date: Apr 15, 2016
If your company is a car, data can change it form a sedan to a Porsche. Data-driven marketing helps you predict what your customers want and deliver it faster and better. Our report, Demonstrating Impact: Pedal to the Metal, outlines five ways data-driven marketing can transform your business into a machine that can leave your competition in the dust. Download our guide to learn how data-driven marketing can help you: • Define the right goals and performance indicators • Make better business decisions faster • Deliver personalized and compelling experiences • Spend budget more profitably • Enhance employee efficiency Download our guide to transform your business.
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adobe, data driven marketing, marketing
    
Adobe

The Ultimate Guide to Content Insights

Published By: Uberflip     Published Date: Jun 30, 2017
In this eBook, you will learn how implementing the right processes and tools to gather analytics, implement scoring, prove ROI, and create comprehensive reports on your content marketing efforts will provide the insight you need to make data-driven decisions. In turn, these decisions won’t just improve your content marketing performance, but will also allow you to meet your overarching business objectives.
Tags : 
    
Uberflip

Workforce Analytics for Retail

Published By: Kronos     Published Date: Sep 20, 2018
If you’ve tried managing your retail operation’s labor performance without reliable, real-time data, you know the costly shortcomings of this approach. Tap into clear, easy-to-access workforce data — a single view of all elements of your workforce that empowers you to make effective decisions and protect your bottom line. Workforce Analytics for Retail transforms labor and sales data into meaningful business intelligence. Learn how managers can make data-driven decisions that optimize workforce utilization, control labor costs, and drive continuous improvement.
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Kronos

The Urgent Need for Hybrid Integration - IDC Analyst Paper

Published By: Group M_IBM Q418     Published Date: Oct 26, 2018
Over the past few years, business leaders have been the primary drivers of technology change, including making decisions to adopt new applications in the cloud, mandate a cloud-first strategy, offer new capabilities with an API-first strategy, and provide new applications to end users on mobile first. There are significant benefits to these cloud decisions because they decrease time to value, lower costs, and make it easier for organizations to experiment and innovate. But there are consequences as well, chiefly in the complexity of learning how to integrate applications and exchange data across a decentralized architecture that is largely driven by autonomous development decisions. This IDC White Paper answers the following questions about the need for hybrid integration: How are changes in business strategy and technology adoption requiring changes in how organizations approach integration? What are the major events that trigger integration adaptation? How are the roles involve
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Group M_IBM Q418
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