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All Research Sponsored By:Qlik

  • Why cloud? Why now? A Qlik Cloud Comparison Guide

    Discover the advantages of a modern, AI-powered cloud analytics platform. This Qlik Cloud Comparison Guide highlights key differences from on-premises solutions, including enhanced security, data management, AI-powered analytics, machine learning, and automation. See how Qlik Cloud elevates your analytics. Read the Qlik Cloud Comparison Guide

  • 5 Pitfalls That Undermine Your AI Readiness - and How to Avoid Them

    This white paper explores the 5 pitfalls that can undermine your AI readiness and how to avoid them. Inside, you'll discover the critical steps to build a robust data foundation, define clear business objectives, and mitigate AI risks and ethics concerns. Read the white paper to ensure your AI initiatives deliver tangible value.

  • 15 Stories of Embedded Analytics

    How can you ensure that you’re using a leading and proven analytics and data integration platform? Access this e-book now to discover how 15 different organizations were able to deliver embedded, always-on intelligence and improve decision-making for their businesses.

  • Make Machine Learning a Reality Across Your Modern Business

    In this white paper, you'll discover how automated machine learning (AutoML) can help your organization harness the power of predictive analytics and drive better business outcomes. Read the full white paper now to find out how you can turbocharge your business with machine learning.

  • 20 Ways to Increase Your Data Lake ROI

    In this e-book, you'll discover how to accelerate your data lake ROI with real-time data pipeline automation, automated data transformation, and a smart data catalog for trusted, governed data. Read the full white paper now to learn more.

  • 20 Reasons Qlik and Snowflake are Better Together

    In this e-book, you'll discover how Qlik and Snowflake work together to modernize data architecture and accelerate time-to-insight. Read on now to learn about automating the data warehouse, empowering business users, and scaling analytics.

  • Data Lake vs. Data Warehouse Comparison Guide

    This e-book explores the key differences between data lakes and data warehouses. Inside, you'll learn about the 6 core benefits of each, top cloud solutions, and how to accelerate data delivery with Qlik. Download the e-book now to discover which data platform is right for your business.

  • Data Integration Reference Architectures

    In this e-book, you'll discover how Qlik Data Integration enables real-time insights, data speed and scale, and flexibility to accelerate your business. You'll also learn about 6 reference architectures for data warehouses, data lakes, data lakehouses, event-driven data, and data mesh. Read on now to explore the advantages.

  • Data Integration Buyers Guide

    This data integration buyer's guide covers critical considerations when selecting a solution, including use cases, core capabilities, and pricing. Inside, you'll discover how modern data technology can help you deliver actionable insights and master today's data challenges. Read on to find the right data integration solution for your business.

  • Data Integration and Quality Use Cases eBook

    In this e-book, you'll discover how Qlik Talend's comprehensive data integration and quality solutions can address a wide range of modern use cases, from database synchronization to data warehouse modernization. Read on to learn how you can gain trusted data and unlock valuable insights.

  • Reverse ETL Explained

    Reverse ETL can help close the loop between your data warehouse and frontline business applications, enabling data-driven actions that improve customer experiences and boost productivity. Access this white paper now to learn how.

  • Top Cloud Data Warehouses Comparison Guide

    This buyer's guide compares the top cloud data warehouses - Amazon Redshift, Azure Synapse Analytics, Google BigQuery, and Snowflake. Inside, you'll learn about their features, architecture, and which one may be right for your enterprise. Read the full guide now to help your organization make an informed decision.

  • Data Integration Success Stories Solutions

    Enterprises across industries are streamlining data pipelines with Qlik's Data Integration Platform. In this e-book, you'll learn how companies like Generali, USAA, and Fanatics accelerated data delivery, scaled data volumes, and improved data access. Read the full case studies now to learn how you can overcome top data integration challenges.

  • Cloud Data Lake Comparison Guide

    This e-book explores the top cloud data lake solutions from AWS, Google, Microsoft, Cloudera, Databricks, and Snowflake. Inside, you'll learn how these platforms compare in features like storage, processing, security, and analytics. Download this comprehensive comparison guide now to find the right cloud data lake for your enterprise.

  • Transform Data In Your Cloud Warehouse

    In this e-book, you'll find out how you can modernize your data warehouse with automated, no-code pipelines that accelerate data delivery, increase accuracy, and reduce costs. Read the full e-book now to discover the potential benefits for your business.

  • What To Look for in a Data Integration Solution

    Discover the key criteria for selecting a data integration solution in this Buyer's Guide. It covers usability, pricing, use cases, capabilities, and vendor services. Find a platform to modernize apps, provide real-time data, and enhance AI and analytics. Access the full guide.

  • Data Drives Business Data Integration Considerations For ISVs And Data Providers

    Data is a critical asset for businesses today, driving decisions and new revenue sources. However, integrating data from various sources can be challenging. Read this white paper now to explore how a modern data fabric with automation and governance can help ISVs and data providers deliver data-driven insights.

  • Seven Data Integration Drivers — And The Opportunities They Present For ISVs, Data Providers, And Digital Businesses

    In this solution brief, you'll discover the 7 key business drivers for AI-powered data integration that can help ISVs, data providers, and digital businesses transform customer data into actionable insights. Read on now to learn how to integrate any data source, ensure data trust, and establish real-time data pipelines.

  • Automating Data Lake Pipelines For AI

    Automating data lake pipelines can help deliver accurate, model-ready data for AI initiatives faster. In this e-book, you'll learn how to build AI-enabled pipelines that automate ingestion, quality checks, processing, and storage optimization. Read on now to discover key considerations and steps for success.

  • Definitive Guide To Data Quality

    This comprehensive guide explores factors that contribute to creating high-quality data and offers guidance on how enterprises can ensure their data meets high standards. Download the white paper now to learn how you can prioritize data quality and unlock its full potential.

  • Maximizing Data Value in the Age of AI

    This white paper explores how data products can help organizations maximize the value of their data and accelerate business outcomes while enhancing data trust and governance. Read on to learn how you can build effective data products and a federated data strategy to drive strategic business success.

  • Data Warehouse Automation in Azure

    In this 46-page For Dummies e-book, you'll learn about the benefits of cloud data warehousing, including scalability, security, and real-time analytics. Read on now to find out how you can build an agile data pipeline and accelerate time to value.

  • Supercharge Your Databricks Lakehouse

    With real-time data ingestion and analytics-ready data delivery, you can supercharge your Databricks Lakehouse. Read this e-book now to find out how you can automate your entire data pipeline to reduce risk, boost ROI, and free your data engineers.

  • The Six Principles Of AI-Ready Data Establishing A Trusted Data Foundation For AI

    In this white paper, you'll find out how to establish a trusted data foundation for AI with 6 key principles: data must be diverse, timely, accurate, secure, discoverable, and consumable by machine learning and large language models. Read on now to learn how you can unlock your organization's AI potential.

  • How to Become an AI-powered Organization

    Discover how to transform your organization into an AI-powered leader in 2024. This eBook explores 10 data and analytics trends, from hybrid AI to data monetization, to help you move from big to better data. Read the full eBook to unlock practical strategies for your AI journey.

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