Organizations are struggling to get the ROI they expect from big data initiatives. Building a repository is just a starting point. Big data analytics quickly turns massive, raw data sources into analytics-ready information that can be easily analyzed and visualized.
The best big data analytics tools enable users to freely explore and uncover hidden insights within big datasets that combine relevant data from multiple sources. This offers a more complete view of their business and the forces shaping it so they can confidently make decisions and take action.
Big data integration – Go from raw to analytics-ready, faster
Leverage your existing big data analytics investments and accelerate your ROI with an end-to-end solution that simplifies the many steps needed to create clean, well-documented data from any source, transforming raw data into trusted, analytics-ready information. Whether data is within a data lake or legacy application, Qlik lets you access and manage all your data, big and small, within a single environment.
Three essential capabilities of big data analytics tools
Connect data quickly
With many out-of-the-box connectors and an open platform, our modern big data analytics technology quickly integrates data from Hadoop, NoSQL, Microsoft SQL Server, Amazon Redshift, Google BigQuery and an ever-growing ecosystem of new technologies.
Prepare data visually
A mature data integration and transformation layer is essential to combine multiple data sources. Advanced profiling suggests associations and automatically processes different data types such as date/time and geography.
Collaborate and re-use data
Big data analytics tools should provide a governed enterprise data catalog and analytics libraries enabling a centralized “build once, deploy anywhere” environment that maximizes collaboration and reuse of data and applications by users while IT still maintains control.
IDC PlanScape: Data Intelligence Software for Data Governance
Multiply big data analytics value with access for everyone
Not long ago, the expertise required to use big data limited access to data scientists and technical analysts. But the real opportunity is when big data analytics is placed in the hands of the people working closest to your operations.
Qlik’s modern BI platform lets your entire workforce explore massive volumes of data to quickly validate their ideas and discover new ways of driving business performance. They know the questions to ask and understand which insights will have the most impact. Take advantage of virtually any big data analytics need – from market basket analysis and customer segmentation to operational analytics and beyond.
See every relationship across your data — big and small
Traditional data analysis models limit what data you can see and query, and how data is interconnected. Qlik’s Associative Engine instead identifies every relationship across all of your data sources, putting big data in the context of your entire business. Every user—not just data scientists—can dive in to explore these connections with simple interactive visual dashboards and natural language search to look deeply into your business, using their discoveries to make better, more confident decisions. No queries – or waiting – required.
We put all your data – from any source and location – into an easy-to-use, governed enterprise catalog. Users can “shop” for the right data without compromising security policies.
An agile, governed big data analytics environment built to scale
With unmatched self-service and governance capabilities, Qlik helps IT teams finally give users the insights they need – without hassles or limitations. This fosters a culture of data exploration, where people are encouraged to experiment with ideas and validate them through data analysis.
Fine-grained controls so the right people can access the right data and apps
Open APIs that make introducing new capabilities simple
Large partner ecosystem to support your big data investments
Linear, predictable scalability ensures high performance under any load
'With Qlik, we have successfully put clinical and financial data together in our sets and can ask questions related to that theory.'
David Mooradian, M.D., Chief Medical Informatics Officer, Anne Arundel Medical Center
Our industry-leading data analytics solution enables the full spectrum of analytics use cases on a modern multi-cloud platform, delivering flexibility, governance and scalability for your organization.