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Featured E-Books

  • Tap into enterprise data governance for business value

    Data governance is all about managing data as a business asset and ensuring that data is accurate, consistent, integrated, timely, complete and secure. This report examines the market trends for implementing data governance. Based on data from a recent survey of 317 business intelligence professionals, IT professionals and consultants, this SearchBusinessAnalytics Benchmark Report analyzes the responses and provides trend information on the increasing executive acceptance of the importance of managing data as a corporate asset, the current status and types of data governance initiatives, data quality and data governance benefits.

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  • Big data deployments: Maximizing their value, minimizing mistakes

    Big data projects are becoming more common as companies seeking a competitive edge look to take advantage of an increasing variety of information from both internal and external sources. But deploying, implementing and using big data systems and big data analytics tools can be a complex undertaking.

    This e-book will offer practical advice on managing big data deployments to IT, business intelligence and analytics teams and business executives. Individual chapters will focus on evaluating and selecting Hadoop, NoSQL databases and other big data technologies; incorporating sensor data and log files into big data applications; and creating effective analytical models as part of big data programs.

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      • Operational analytics: Delivering insights on the fly

        As organizations recognize the benefits of providing their employees with access to real-time data, operational analytics is gaining acceptance in the marketplace. This report examines the market trends for implementing operational analytics. Based on data from a recent survey of 622 BI professionals, users and consultants, it analyzes the responses and provides trend information on adoption rates, architecture, scope of deployment, future plans, users, vendors, benefits and challenges -- as well as the types and sources of data used for operational analytics.

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      • BI research benchmark report: BI in the cloud

        With adoption of cloud BI services hovering at 33% for the past few years, this report examines the market trends for implementing cloud business intelligence. Based on data from two surveys of BI professionals, BI users or sponsors and BI consultants, this report analyzes the responses and provides trend information on adoption rates, architecture, cloud BI usage and users -- as well as the drivers and challenges facing cloud BI implementations. The report concludes with six recommendations to help identify the best approach for implementing cloud BI.

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      • Choosing the right Hadoop platform

        Focusing on the current state of the Hadoop data management platform market, this Technology Guide provides an introduction to Hadoop and suggests criteria for selecting a Hadoop data management platform. Also included are reviews of leading Hadoop systems from a variety of vendors.

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      • Finding your way with visual discovery tools

        This Benchmark Report focuses on visual discovery tools, which are self-service, in-memory analysis tools that enable business users to access and analyze data visually with minimal or no IT assistance. Power users, BI specialists and casual users are increasingly employing visual discovery for analysis, typically sharing their results in the form of interactive dashboards. This report, supported by a survey of BI professionals, defines visual discovery, looks at the business benefits of this approach, and explores the perceptions and challenges associated with visual discovery tools.

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      • Visual Discovery Tools: Market Segmentation and Product Positioning

        This report explores the market for in-memory visualization tools, which provide speed-of-thought analysis to power users and interactive departmental dashboards to casual users. Visual discovery tools straddle top-down and bottom-up approaches to business intelligence and are typically deployed more quickly and at lower cost than enterprise-centric tools.

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      • Unlocking the business benefits in big data

        In many companies, big data technologies have moved to the top of the business intelligence, analytics and data warehousing agenda. But tools such as Hadoop and NoSQL databases are new to many IT managers, and dealing with the unstructured and semi-structured data that those technologies are designed to store is also uncharted waters for lots of organizations. This e-book will provide insight and advice on using big data to generate business value and competitive advantages, with chapters on big data analytics, big data management, data integration issues, and deploying and managing Hadoop systems.

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      • Big data deployments: Maximizing their value, minimizing mistakes

        Big data projects are becoming more common as companies seeking a competitive edge look to take advantage of an increasing variety of information from both internal and external sources. But deploying, implementing and using big data systems and big data analytics tools can be a complex undertaking.

        This e-book will offer practical advice on managing big data deployments to IT, business intelligence and analytics teams and business executives. Individual chapters will focus on evaluating and selecting Hadoop, NoSQL databases and other big data technologies; incorporating sensor data and log files into big data applications; and creating effective analytical models as part of big data programs.

        View E-Book
      • Unlocking the business benefits in big data

        In many companies, big data technologies have moved to the top of the business intelligence, analytics and data warehousing agenda. But tools such as Hadoop and NoSQL databases are new to many IT managers, and dealing with the unstructured and semi-structured data that those technologies are designed to store is also uncharted waters for lots of organizations. This e-book will provide insight and advice on using big data to generate business value and competitive advantages, with chapters on big data analytics, big data management, data integration issues, and deploying and managing Hadoop systems.

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      • Exploiting big data: Strategies for integrating with Hadoop to deliver business insights

        This e-book, written by business intelligence expert Wayne Eckerson, will explain how big data -- the combination of Hadoop and analytical databases -- is transforming the business intelligence industry. Learn about the ways that traditional business intelligence, extract, transform and load (ETL), and database vendors integrate with Hadoop. Eckerson also explores how Hadoop and analytical ecosystems will change in the future and how this will impact traditional BI methods, technology and vendors.

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      • Tap into enterprise data governance for business value

        Data governance is all about managing data as a business asset and ensuring that data is accurate, consistent, integrated, timely, complete and secure. This report examines the market trends for implementing data governance. Based on data from a recent survey of 317 business intelligence professionals, IT professionals and consultants, this SearchBusinessAnalytics Benchmark Report analyzes the responses and provides trend information on the increasing executive acceptance of the importance of managing data as a corporate asset, the current status and types of data governance initiatives, data quality and data governance benefits.

        View E-Book
      • Using decision management solutions to improve processes and operations

        Read this paper to learn why experts from both MIT and Gartner Research, as well as decision management guru James Taylor, all agree that automation and data analysis are crucial for timely, effective decisions in today's business environments. Learn about some effective decision management solutions and how to take advantage of them in your organization.

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      • Improving business intelligence performance: Tips, techniques and strategic advice

        Business intelligence (BI) programs face new performance challenges as they scale out to reach more and more end users. And today, many companies are more cost-conscious than ever. So, how can you maximize the impact of business intelligence tools while maintaining acceptable levels of BI performance and keeping costs under control? Get advice in this e-book, featuring effective tips and techniques for improving BI performance. Learn strategies you can employ now to improve business intelligence performance quickly – and things to think about as you plan for the future.

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      • Best practices that can make or break a business intelligence project

        In this handbook for project managers, get advice and insight for making your BI project run smoothly. Find out more about the best practices that can make or break a business intelligence project – and hear more from experts and experienced practitioners with real world experience. Both business and IT professionals can benefit from this information.

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      • Operational analytics: Delivering insights on the fly

        As organizations recognize the benefits of providing their employees with access to real-time data, operational analytics is gaining acceptance in the marketplace. This report examines the market trends for implementing operational analytics. Based on data from a recent survey of 622 BI professionals, users and consultants, it analyzes the responses and provides trend information on adoption rates, architecture, scope of deployment, future plans, users, vendors, benefits and challenges -- as well as the types and sources of data used for operational analytics.

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      • Predictive analytics software: The next big thing in BI?

        In this e-book, learn about predictive analytics software and why it’s getting increased attention from prospective users. Read about real-world predictive analytics projects and get expert advice on organizing a predictive analytics program and on developing and utilizing predictive models in business operations and more. Get examples of how successful companies are using predictive analytics in action as well as expert insight on the potential -- and pitfalls -- of using predictive analytics software.

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      • Strategies for effective business intelligence reporting and analysis

        For more than two decades, business intelligence (BI) professionals have tried to shoehorn all reporting and analysis tasks into the same BI toolset and architecture, often with disappointing results. Is there a real solution? Read this e-book by Wayne Eckerson, Director of Research for TechTarget, for the answer.

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      • BI research benchmark report: BI in the cloud

        With adoption of cloud BI services hovering at 33% for the past few years, this report examines the market trends for implementing cloud business intelligence. Based on data from two surveys of BI professionals, BI users or sponsors and BI consultants, this report analyzes the responses and provides trend information on adoption rates, architecture, cloud BI usage and users -- as well as the drivers and challenges facing cloud BI implementations. The report concludes with six recommendations to help identify the best approach for implementing cloud BI.

        View E-Book
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      • Choosing the right Hadoop platform

        Focusing on the current state of the Hadoop data management platform market, this Technology Guide provides an introduction to Hadoop and suggests criteria for selecting a Hadoop data management platform. Also included are reviews of leading Hadoop systems from a variety of vendors.

        View E-Book
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      • Tips on evaluating, deploying and managing in-memory analytics tools

        Interested in running queries against data stored in a computer's memory? Read this e-book to learn about in-memory analytics technology and how it can provide much faster analytical performance than traditional business intelligence (BI) tools. Before diving into this type of data analytics, you'll want to read the valuable knowledge and expert advice gathered here.

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      • The Analytical Sales Team Series

        Download this e-book for information on the newest trends in advanced analytics, and how it can aid your sales efforts. Read chapters on innovative analytical sales topics, including in-memory analytics, in-database analytics, complex event processing and predictive analytics.

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      • How to set up and manage a successful business analytics program

        This e-book includes how-to advice on creating an analytics culture, setting up a business analytics program and preparing for an installation of analytics software. In addition, get tips and strategies for building up an organization's analytics skill set and supporting analytics professionals. Learn how to create a top-down emphasis on fact-based decision making, learn what types of specialized analytics skills and workers your organization will need and where to find them. Get advice on the best way to structure an analytics team within your organization. Also discover how to get corporate data ready for a comprehensive analytics program through data quality, data integration and data governance efforts.

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      • Optimizing healthcare business intelligence and analytics

        BI and analytics tools can provide healthcare organizations with valuable insights for assessing and improving patient care and better controlling costs. This e-book provides a valuable overview of the complex analytics issues facing healthcare organizations, and advice on how to best utilize business intelligence and analytics technologies in healthcare. Read an expert's view of how analytics are currently being used in the healthcare industry, hear about real-world examples of healthcare organizations that have used BI and analytics technologies to improve their operations and patient care, and find tips on how to manage healthcare business intelligence projects, including evaluating software and negotiating contracts.

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      • Designing a business intelligence framework for analytics success

        In this research report excerpt, expert Wayne Eckerson explores why big data has become a hot topic. Learn how to design a successful business intelligence framework and analytics program that allows you to make something of your data and deliver value to your organization.

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      • The value of business intelligence: Driving a more agile enterprise

        Today's business intelligence is more process- and strategy-driven than in the past, and BI is fast becoming more pervasive across the enterprise and more essential in integrated enterprise architecture. It's hard to ignore the promise of BI, but defining and quantifying ROI to the business can be a challenge. This e-book explores the value of business intelligence, including its return on investment, the pros and cons of purchasing versus custom-building a BI application and how recent trends are changing the BI landscape.

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      • A complete primer to mobile business intelligence

        Business intelligence (BI) is a natural fit for mobile devices. In this e-book, appropriate for business intelligence professionals, get a complete, accessible overview of mobile business intelligence applications from industry expert Wayne Eckerson.

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      • Best practices for buying business intelligence technology

        The BI market offers a dizzying array of technology options. From collecting organizational requirements, writing RFPs, conducting evaluations and running proof of concept projects, there is a lot involved in evaluating and buying business intelligence technology. Read on to get straightforward advice from industry analysts and expert practitioners.

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      • Finding your way with visual discovery tools

        This Benchmark Report focuses on visual discovery tools, which are self-service, in-memory analysis tools that enable business users to access and analyze data visually with minimal or no IT assistance. Power users, BI specialists and casual users are increasingly employing visual discovery for analysis, typically sharing their results in the form of interactive dashboards. This report, supported by a survey of BI professionals, defines visual discovery, looks at the business benefits of this approach, and explores the perceptions and challenges associated with visual discovery tools.

        View E-Book
      • Visual Discovery Tools: Market Segmentation and Product Positioning

        This report explores the market for in-memory visualization tools, which provide speed-of-thought analysis to power users and interactive departmental dashboards to casual users. Visual discovery tools straddle top-down and bottom-up approaches to business intelligence and are typically deployed more quickly and at lower cost than enterprise-centric tools.

        View E-Book
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