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  • Unleash Intelligent Disruption with a Modern Data Warehouse

    Sponsored by: INFORMATICA

    Find out how to accelerate data warehouse modernization with advanced data management for Microsoft Azure. Learn how to provide greater access to data for faster decision-making powered by machine-learning.

  • A Declaration of Data Independence

    Sponsored by: Delphix

    Explore how your business must dissolve the barrier that lock-in your data and arrive at a data-driven interconnectedness, allowing consumers friction-free access to their secure data.

  • Bots Mean Business

    Sponsored by: F5 Networks

    As bot technology, machine learning, and AI continue to evolve, so will the cyber threats they pose. This paper explores how bot innovation enables cybercrime and how you can optimize business intelligence while protecting your enterprise.

  • Quenching our Thirst for Innovation and Fueling New Discoveries

    Sponsored by: Delphix

    In this resource, uncover how your organization can seamlessly adopt the DevOps approach for rapid, secure and automated access to date.

  • SAP and Manchester City: Scoring Chances in the Cloud

    Sponsored by: SAP

    Modern football media coverage wouldn't be possible without data, especially for the City Football Group (CFG). In this resource, learn how CFG was empowered to scale their business, increase productivity, and enhance fan experience with SAP as their official cloud service provider.

  • Hybrid Cloud Data Management for Dummies

    Sponsored by: INFORMATICA

    In this "For Dummies" e-book, explore a variety of techniques, architectures, and toolsets organizations can use to turn the challenge of hybrid cloud data management into a competitive advantage.

  • Power Your AWS Data Lake With AI-Driven Data Management

    Sponsored by: INFORMATICA

    Learn how to establish an intelligent data management strategy that harnesses AI technologies for data lakes built on AWS so that you can take a metadata-driven approach to managing and analyzing big data volumes.

  • VIA IoT Analytic Data Flow

    Sponsored by: Vitria Technology, Inc.

    Many companies face serious challenges when it comes to actually implementing IoT analytics. Learn about the Vitria Analytic Data Flow platform and discover how to integrate data from multiple sources, accelerate analytics with machine learning, and provide full lifecycle management for data flow models.

  • Collaboration, AI, and Machine Learning Strategies

    Sponsored by: CorpU

    Discover how technologies like structured dialogue, natural language processing, and deep analytics can help executives and their employees collaborate more effectively in data-driven environments.

  • Augmented Analytics is the Future of Data and Analytics

    Sponsored by: Birst

    Augmented analytics will be crucial for delivering unbiased decisions and impartial contextual awareness, according to Gartner. It will transform how users interact with data, and how they consume and act on insights. Learn more from this Gartner data.

  • Delivering a Personalized Banking Experience for 4.5 Million Customers

    Sponsored by: SAP

    This case study explores how mBank (a bank based in Poland) applied predictive models to its data to gain valuable insights. Discover how their implementation of SAP Predictive Analytics is enabling them to drive a close, personal connection to customers.

  • Dell: Empowering Sales Teams with Self-Service BI Powered by SAP HANA

    Sponsored by: SAP

    To spur growth and sales performance, Dell needed to consolidate and standardize reporting and analytics in a way that would speed insight and decision-making. Discover how they centralized their data and automated BI, reporting, and analytics processes built on the power of SAP HANA.

  • Analytic Data Flow: Visual Development for Analytic and IoT Apps

    Sponsored by: Vitria Technology, Inc.

    Learn about the VIA Analytic Data Flow platform and discover how to process streaming data flows in visual, low-code development environments.

  • Grupo Merza: Improving Wholesale and Retail Insights

    Sponsored by: SAP

    Find out how Grupo Merza, a Mexico-based retail and wholesale giant, leveraged the power of SAP HANA and predictive analytics to generate insights faster and make better, more informed business decisions with the most relevant data.

  • BI, Analytics, and the Cloud: Strategies for Business Agility

    Sponsored by: SAP

    This TDWI best practices report explores the current state of BI, analytics, and data management in the cloud. Uncover 12 best practices for cloud analytics, and learn about the top considerations for moving data management to the cloud.

  • Big Data, Analytics & AI in Supply Chain Management

    Sponsored by: CorpU

    Discover best practices for using big data, AI, and machine learning to drive the future of intra-company supply chain management (SCM) and leadership.

  • Tetra Pak: Achieving Detailed and Dynamic Reporting

    Sponsored by: SAP

    Find out how Tetra Pak enhanced reporting and made it more accessible for business users while reducing reliance on IT with seamless data integration, agile self-service apps, standardized BI user interfaces, and more.

  • A Guide to Embedding Analytics into your Application

    Sponsored by: Yellowfin

    This e-book acts as a guide for software vendors looking to embed analytics into their apps and deliver new insights to their customers. Learn how to integrate and launch your own unique analytic app and find out how you can set objectives for building your analytics offering, fill in skills gaps, perform beta testing, and more.

  • Predictive Analytics Reimagined for the Digital Enterprise

    Sponsored by: SAP

    Explore how you can use predictive analytics to predict outcomes, identify untapped opportunities, expose hidden risks, anticipate the future, and act in the moment – ultimately driving the digital transformation.

  • CubeServ: Accelerating Reporting, Analytics, and Data Visualization

    Sponsored by: SAP

    Find out how CubeServ incorporated the cloud into its data and analytics strategies and learn about their use of the SAP Analytics Cloud to accelerate reporting, analytics, and data visualization.

  • The Value of Data and Analytics in Digital Transformation

    Sponsored by: SAP

    In this Q&A between SAP and Dan Vesset, group vice president of IDC's Analytics and Information Management research, learn about the growing ties between digital transformation, data, and analytics.

  • SAP HANA: The In-Memory Platform for Digital Transformation

    Sponsored by: SAP India

    Explore how to reimagine your analytics, data management, and database strategies for digital transformation initiatives. Plus, learn about SAP HANA, a unified, in-memory database platform for transactions and analytics.

  • Man Wah Powers Real-Time Analytics with SAP HANA and SAP BusinessObjects BI

    Sponsored by: SAP

    This case study explores how Man Wah enabled enterprise grade, real-time data management and analytics for the data from its critical systems like ERP. Discover how they built a modern analytics and BI strategy using the power of SAP HANA to deliver real-time, data-driven decision-making.

  • Enabling the Agile Enterprise Through Unified Data

    Sponsored by: SAP India

    Learn about the journey toward the analytic-transactional data platform, and explore topics like data integration between databases and data warehouses, disk backup optimization for analytic data, the benefits of unified data for transactions and analytics, and more.

  • Cloud Business Analytics

    Sponsored by: SAP India

    Learn about both the drivers and the roadblocks for cloud analytics adoption according to IDC's research into the current and emerging states of analytics and BI deployments.

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