Go Beyond Mere Monitoring

We live in an always-on world. We are quick to adopt new technology and quick to abandon it if slow or unresponsive. This mobile-consumer mindset has created significant challenges for IT: ensure customer satisfaction by proactively monitoring performance and availability, identify web application problems, predict the performance of the application and measure service levels. TrueSight App provides all of them.

Download this paper: keep users happy and applications healthy.

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Innovation Insight for Collective Intelligence Benchmarking

Collective Intelligence Benchmarking (CIB) is a new, efficient approach that extracts insights from massive data sets to provide an understanding of end-user experience. This report from Gartner highlights cloud and network monitoring solutions that apply CIB techniques, enabling IT teams to quickly identify performance issues and ultimately "hold cloud- and SaaS-based providers accountable for below-par service delivery."
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Drive Data to Decision

In this eBook, we look at the rapidly evolving use of advanced analytics in defense intelligence. The concept of advanced analytics comes alive in a study of Operation Nighthawk, a multinational training exercise that tested the abilities of data analytic tools to support tactical operations.
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Adapt to Digital Business with Single System Image (SSI) Monitoring Capabilities for Mainframes

Meet the demand for performance and availability with simpler mainframe monitoring.

Finding and resolving issues is critical to keep revenue-generating digital services running their best. In this paper, you’ll learn how to achieve a single, simpler view across your mainframe environment before performance and availability issues impact your business.

Read the white paper to:

  • Improve the efficiency and productivity of mainframe staff
  • Maintain performance despite growing complexity
  • Shrink MTTR, reduce system outages and lower TCO

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ODM For Dummies

In this IBM limited-edition Dummies book, you’ll learn what operational decision management (ODM) is and how it can benefit your organization by helping to:

  • Enable faster and more agile change so your business can react more quickly to opportunities and threats
  • Automatically capture knowledge so it can be reused to make better business decisions
  • Manage compliance better by providing a clear record of the rules that govern business operations
  • Make operational decisions more predictable and repeatable while also allowing you to model, measure, collaborate on and refine these decisions as your business needs change
  • Improve customer service with more consistent and accurate rules-based decisions, as well as by personalizing the user experience

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Predicts 2016: Endpoint Technology Shifts Are Accelerated by Windows 10

Endpoint managers must adjust deployment plans to benefit from the technology shifts that advance all aspects of the digital workplace. Shifts include Windows 10 migration, application delivery methods and the way that users interact with their devices.

How can these shifts affect your technology purchase plans and workforce ecosystems?

To learn more, submit the form to get the new Gartner report “Predicts 2016: Endpoint Technology Shifts Are Accelerated by Windows 10.”

Intel Inside®. Powerful Productivity Outside.

**Intel and the Intel logo are trademarks of Intel Corporation in the U.S. and/or other countries.**

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Ovum – IBM Cognos Analytics – A bridge across the analytic chasm

What's new in IBM Cognos Analytics? - In October 2015, IBM announced a significant redesign of the user experience (UX) of its flagship business intelligence (BI) solution, IBM Cognos BI, based on self-service design principles. The new solution, called IBM Cognos Analytics, promises to bridge the divide between ad hoc, exploratory analytics and IT-driven traditional BI.

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Sentiment Analysis: A Hybrid Approach

Today, businesses want to know what buyers say about their brand and how they feel about their products. However, with all of the "noise" filling our email, social and other communication channels, listening to customers has become a difficult task. In this guide to sentiment analysis, you'll learn how a machine learning-based approach can provide customer insight on a massive scale and ensure that you don't miss a single conversation.
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Sentiment Analysis: A Hybrid Approach

Today, businesses want to know what buyers say about their brand and how they feel about their products. However, with all of the "noise" filling our email, social and other communication channels, listening to customers has become a difficult task. In this guide to sentiment analysis, you'll learn how a machine learning-based approach can provide customer insight on a massive scale and ensure that you don't miss a single conversation.
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