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  • IT Project: Business intelligence in the world of big data

    Sponsored by: TechTarget ComputerWeekly.com

    Old-school business intelligence (BI), although still important, is no longer at the cutting edge of modern IT projects. However, as the TechTarget 2016 spending survey shows, business intelligence is very much a priority for corporate IT.

  • Big Data Poses Weighty Challenges for Data Integration Best Practices

    Sponsored by: TechTarget Data Management

    Organizations that deploy big data platforms are finding that they also need an upgraded data integration framework to meet rising demands. In this expert handbook, uncover advice on how to navigate the demands of big data architectures, high volume data warehousing, and data lakes by updating your data integration strategy.

  • Guide to Better CX: AI, Chatbots, and More

    Sponsored by: ServiceNow

    What's the key to a successful CX? Is it personalization, AI, chatbots—a combination of all the above— or something more? Inside, discover the key to creating a successful customer experience. Learn how chatbots are influencing the state of customer support, and explore how other emerging technology trends can improve your CX success rate.

  • Data Science & Analytics: Bridging the Gap & Boosting Success

    Sponsored by: IBM

    In this 2-part expert e-guide, learn how some enterprises, including FICO and Equifax Inc., made the practice pay off. Plus, Sai Devulapalli, Data Analytics Product and Business Leader at Dell, explains how to bridge the gap between academia and industry when it comes to data science and advanced analytics.

  • How Michigan State University Calculates Likelihood of Philanthropic Engagement

    Sponsored by: IBM

    This case study describes how MSU leveraged business intelligence and predictive analytics to gain deep insight into an individual alum's potential to give.

  • Machine learning technology, techniques add new analytics smarts

    Sponsored by: TechTarget Business Analytics

    Companies are tapping machine learning technology and techniques to boost analytics capabilities. But these often require new analytics systems and can create data management challenges. In this expert handbook, learn how to make sure your organization's use of machine learning technology and techniques has a sharp focus on the business benefits.

  • Guide to SAP HANA: Implementation Options, Tips, and More

    Sponsored by: Freudenberg IT

    Explore the journey to a successful SAP HANA implementation so you can leverage the in-memory database's cloud and analytic capabilities. Learn about the key differences between HANA Cloud Platform and HANA Enterprise Cloud, uncover 5 implementation tips, and more.

  • Taking Big Data Analytics to the Cloud

    Sponsored by: Rackspace Technology

    Discover how HSBC, a financial services company and banking giant, adopted a cloud-first strategy to enhance analytics and solve big data business challenges. Hear from David Knott, a chief architect at HSBC, about how they addressed 5 key use cases with machine-learning and selected a cloud provider for analytics.

  • SAP's IoT Lineup for ERP and Manufacturing

    Sponsored by: Microsoft, Intel, SAP

    In this expert e-guide, Ann Grackin from ChainLink Research gives an overview of SAP's new IoT offerings. Learn about these emerging services and find out how you can incorporate IoT products into your ERP, manufacturing, and analytics strategies.

  • Business Analytics in Flux: The Challenges of Moving Out of Legacy Systems

    Sponsored by: NEC Corporation of America

    In this expert e-guide, explore the ROI capabilities of analytics dashboards, and the popularity of cloud-based solutions in younger companies. Learn of the slow change when switching from traditional analytics to more modern ideas, how AWS analytics are leading the charge in the world of big data analytics, and more.

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