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Featured E-Handbooks

  • Gaining an edge with location analytics

    Location intelligence goes beyond finding a good restaurant. In business, location intelligence technologies can boost profits and decrease costs. This handbook presents potential use cases, tips for deploying location intelligence software and advice for incorporating location intelligence and analytics capabilities into mobile applications.

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  • Getting down to business on big data analytics

    Capturing and storing big data is one thing; reaping real business value and competitive advantages from varied collections of structured and unstructured data is the ultimate goal -- and a tougher nut to crack. This handbook provides strategic insight and practical advice on some of the key facets of managing successful big data analytics programs. It will also point to real-world examples of big data analytics in action.

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      • Get a handle on BI data quality management -- before it bites you

        Ensuring that business intelligence data is clean, accurate and consistent is crucial to the success of BI efforts; analyzing bad data will send BI users off track -- quickly. And as data volumes grow and the number of data sources that organizations are looking to analyze increases, maintaining high levels of information quality is becoming a bigger challenge for BI and IT teams.

        In this handbook, readers will find practical advice on how to effectively manage data integration and data quality processes as part of BI and data warehousing programs, including a checklist of action items for identifying and resolving BI data quality problems.

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      • In-memory analytics tools and big data: A potent mix?

        Big data can become a key competitive weapon for organizations -- if they can successfully implement systems and processes for analyzing their growing vaults of both structured and unstructured data. In-memory analytics tools are one possible avenue to go down. Doing data analysis in memory reduces disk I/O bottlenecks and increases analytical flexibility, two potential pluses in pursuing big data analytics. In this handbook, readers will learn about the benefits and challenges of mixing big data and in-memory analytics; they’ll also get advice on deciding whether the in-memory approach is right for their organizations and tips on building a technology architecture that can support in-memory processing.

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      • Secrets of successful self-service BI

        In today's fast-paced atmosphere, consumers want their information to be available instantly, and self-service BI opens a whole new world of possibilities. View this handbook to learn more about self-service business intelligence, including how you can give business users easy-to-use BI tools and let them complete their own data analysis and reports. Find out how you can empower today's business intelligence teams with the use of self-service applications by reading this valuable resource.

        View E-Handbook
      • Making mobile BI work: Real-world advice and strategies

        Before you dive head first into mobile business intelligence (BI), you need to know about certain pitfalls. While there's no denying that BI mobility is likely to become very prevalent in the next few years, it takes a well-executed plan to ensure that your mobile BI effort is successful. Read this handbook to learn from a three-part series of articles about building and deploying mobile BI apps from consultants and IT managers. It discusses everything from mobile BI and design and development, to how you can ensure fast performance.

        View E-Handbook
      • The dos and don'ts of social media analytics

        Businesses are realizing the value of social media when it comes to customer satisfaction, brand reputation, and trends and they’re increasingly turning to social media analytics to derive these insights. However, analyzing them effectively for maximum business benefit is not an easy task. Read this handbook for advice on developing a social media analytics strategy, maintaining a clear business purpose for the program and dealing with obstacles along the way.

        View E-Handbook
      • Pushing the performance envelope with real-time BI

        There are many benefits of real-time analytics and BI tools, as they can help companies improve the efficiency and efficacy of decision-making.  However, like implementing any analytics system, the right tools need to be in place in order to maximize productivity and limit complications. This expert handbook provides practical advice for evaluating, planning, and managing deployment of real-time analytics systems. Read more about the business case for real-time BI, the benefits and challenges of incorporating pools of big data into your systems, and best practics for tackling real-time projects.

        View E-Handbook
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    • Page 1 of 1
      • Getting down to business on big data analytics

        Capturing and storing big data is one thing; reaping real business value and competitive advantages from varied collections of structured and unstructured data is the ultimate goal -- and a tougher nut to crack. This handbook provides strategic insight and practical advice on some of the key facets of managing successful big data analytics programs. It will also point to real-world examples of big data analytics in action.

        View E-Handbook
      • In-memory analytics tools and big data: A potent mix?

        Big data can become a key competitive weapon for organizations -- if they can successfully implement systems and processes for analyzing their growing vaults of both structured and unstructured data. In-memory analytics tools are one possible avenue to go down. Doing data analysis in memory reduces disk I/O bottlenecks and increases analytical flexibility, two potential pluses in pursuing big data analytics. In this handbook, readers will learn about the benefits and challenges of mixing big data and in-memory analytics; they’ll also get advice on deciding whether the in-memory approach is right for their organizations and tips on building a technology architecture that can support in-memory processing.

        View E-Handbook
      Page 1 of 1
    • Page 1 of 1
      • Get a handle on BI data quality management -- before it bites you

        Ensuring that business intelligence data is clean, accurate and consistent is crucial to the success of BI efforts; analyzing bad data will send BI users off track -- quickly. And as data volumes grow and the number of data sources that organizations are looking to analyze increases, maintaining high levels of information quality is becoming a bigger challenge for BI and IT teams.

        In this handbook, readers will find practical advice on how to effectively manage data integration and data quality processes as part of BI and data warehousing programs, including a checklist of action items for identifying and resolving BI data quality problems.

        View E-Handbook
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      Page 1 of 1
    • Page 1 of 1
      • Making mobile BI work: Real-world advice and strategies

        Before you dive head first into mobile business intelligence (BI), you need to know about certain pitfalls. While there's no denying that BI mobility is likely to become very prevalent in the next few years, it takes a well-executed plan to ensure that your mobile BI effort is successful. Read this handbook to learn from a three-part series of articles about building and deploying mobile BI apps from consultants and IT managers. It discusses everything from mobile BI and design and development, to how you can ensure fast performance.

        View E-Handbook
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      • Predictive analytics in action: Real-world examples and advice

        Predictive analytics tools can help businesses look ahead to the future, for improved decision-making and competitive advantage over rivals.  However, if your organization is looking to deploy this kind of advanced-level analytics, you will need to make sure you have the right level of analytics skills to avoid pitfalls and keep costs down. This expert handbook details everything you need to know about beginning a predictive analytics endeavor. Learn key steps for developing and implementing a predictive analytics program, expert first-hand lessons for building an analytics team, and the importance of proper skills and training for a successful program implementation.

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      • Secrets of successful self-service BI

        In today's fast-paced atmosphere, consumers want their information to be available instantly, and self-service BI opens a whole new world of possibilities. View this handbook to learn more about self-service business intelligence, including how you can give business users easy-to-use BI tools and let them complete their own data analysis and reports. Find out how you can empower today's business intelligence teams with the use of self-service applications by reading this valuable resource.

        View E-Handbook
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      • Gaining an edge with location analytics

        Location intelligence goes beyond finding a good restaurant. In business, location intelligence technologies can boost profits and decrease costs. This handbook presents potential use cases, tips for deploying location intelligence software and advice for incorporating location intelligence and analytics capabilities into mobile applications.

        View E-Handbook
      • The dos and don'ts of social media analytics

        Businesses are realizing the value of social media when it comes to customer satisfaction, brand reputation, and trends and they’re increasingly turning to social media analytics to derive these insights. However, analyzing them effectively for maximum business benefit is not an easy task. Read this handbook for advice on developing a social media analytics strategy, maintaining a clear business purpose for the program and dealing with obstacles along the way.

        View E-Handbook
      Page 1 of 1
    • Page 1 of 1
      • Pushing the performance envelope with real-time BI

        There are many benefits of real-time analytics and BI tools, as they can help companies improve the efficiency and efficacy of decision-making.  However, like implementing any analytics system, the right tools need to be in place in order to maximize productivity and limit complications. This expert handbook provides practical advice for evaluating, planning, and managing deployment of real-time analytics systems. Read more about the business case for real-time BI, the benefits and challenges of incorporating pools of big data into your systems, and best practics for tackling real-time projects.

        View E-Handbook
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      Page 1 of 1