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Full Demo: IBM Cognos 8 Business Intelligence

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Mining Gold from Gigabytes August 2016 Business Information

Social media channels, web applications, sales and marketing systems and other sources are bursting with flows of consumer information pouring into corporate data reservoirs. The amount of data created annually, reports IDC, will reach a dizzying 44 trillion gigabytes in just a few years, and the storehouses to accommodate all that information are also growing exponentially. To mine gold from all those gigabytes and formulate intelligent business plans and sales strategies, organizations are turning to enterprise business analytics tools and techniques. Not surprisingly, two-thirds of companies surveyed by TechTarget plan to increase their spending on BI and big data analytics technologies over the next 12 months. 

In the cover story of August's Business Information, editor David Essex examines three such organizations whose business intelligence strategies demonstrate the benefits of effective data analytics tied to key business applications, not to mention the hard lessons learned along the way. Oberweis Dairy is using enterprise business analytics software to improve the profitability of its home delivery routes, outdoor clothing maker Arc'teryx Equipment brought two vastly different ERP systems together under one data warehouse roof for easier analysis, and the University of Michigan Health System's Fast Analytics team automated its once cumbersome, manually driven revenue-cycle reporting process.

In another feature, editor Bridget Botelho sheds light on the rapidly changing, complex world of enterprise application integration and the challenge to mix cloud apps with proprietary business apps to advance marketing intelligence and increase sales. Many companies lack a clear integration strategy and are falling behind in the race to integrate their data and applications. Yet many options are available to help them catch up, including cloud-based BI applications, third-party platforms and integration tools for non-techies.

Also in this issue, learn how a dynamic data analytics duo teamed with data visualization software to convince a traditional farm cooperative to abandon pen and paper and adopt a data-driven business culture.

These are also closely related to: "Full Demo: IBM Cognos 8 Business Intelligence"

  • Wayne Eckerson: Uniting top-down & bottom-up BI (polar opposites)

    Top-down and bottom-up BI are often perceived as two opposing forces in analytics. In many cases, it can set corporate IT and business units against one another, causing a breakdown in productivity.

    However, this Eckerson Group report argues that top-down and bottom-up BI are flip sides of the same coin and proposes that businesses need to devise organizational, architectural, and technical frameworks that harmonize these polar opposites.

    Access this research study to find out how modern BI platforms blend the best of both analytics approaches. Discover how to create a governed discovery environment that tailors self-service capabilities to business users.

  • Cloud Analytics Flies Low

    Database, data warehouse, big data and BI analytics vendors are bulking up cloud service offerings. And a growing number of organizations are moving to manage and analyze data in the cloud.

    However, there’s mixed reaction with actually doing BI and big data analytics in the cloud. Some are jumping in totally while others are keeping one or both feet on the ground.

    In the cover story, uncover how First Tech Federal Credit Union and PayPal are leveraging cloud technologies to drive analytics programs.  Plus, via a recent TDWI report, learn how 309 of your peers will use the cloud for future projects.

    Also in this issue:

    • Follow the Data – and the Money
    • IOUG President Pushes Professional Resilience
    • Machine Learning Adds Analytics Smarts for Studied Users
    • Data Drivers
    • Analytics Initiatives Hinge on Data Quality
    • Watson Crams for Starring Analytics Role
    • Coding Could Trump Intuition

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