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When we launched Qlik Sense in 2014 we didn’t tell you about everything that we had planned for it, but today I want to let you in on the secret. Put simply, it’s all about our platform and how one shared common platform that supports all business intelligence use cases is the key to seeing the whole story that lives in your data. Through leveraging shared assets and skill sets it speeds time to value and ultimately delivers more consistent results. So why is this important? How do we define platform use cases? And how is it different? Let me explain…
Why is the platform important?
When we first introduced Qlik Sense we talked about a shift from addressing guided analytics with a single product in QlikView, to a dual product strategy that included Qlik Sense to address the rapidly growing need for self-service data visualization and exploration. However, that was just the beginning as Qlik Sense Enterprise is much more than just self-service data visualization and exploration and this is where our platform based approach comes from. The market has shifted, and when we conceived Qlik Sense we had our sights on addressing the future needs our customers tell us they have for a modern BI platform.
Whether it’s the shift in data centricity, where more and more data comes from outside the core data warehouse or even outside the firewall. Or it could be analysis centricity where we move from report-centric with some analysis, to analysis-centric with some reporting. Or even the shift in buyer centricity where power has shifted from centralized IT, to the business and ultimately to developers, analysts and knowledge workers. Either way, the market has moved. More users, from more diverse roles ultimately equates to more use cases. The common myth, often promoted by niche vendors, is that this shift in centricity is from one thing to the other but that is simply not true. The shift, and ultimately this is where the emergence of the modern BI platform comes from, it’s the shift to encompass all these use cases. One platform, all use cases, lower cost of ownership and better, more consistent results.
How do we define platform use cases?
In defining our visual analytics platform we’ve identified five key use cases that we support:
- Self-Service Data Visualization - Decentralized analysis and exploration for individuals and groups
- Guided Analytics - Centrally deployed guided analytics to multiple knowledge workers
- Embedded Analytics - Analytics embedded in web and enterprise applications
- Custom Analytic Applications - Custom-built analytics applications for internal and external use
- Reporting & Collaboration - Pixel-perfect report distribution, storytelling and collaboration across the enterprise
To help explain these, my good friend Mike Tarallo has created a series of videos that explains what each one is, how they are used and who uses them to show how we address them with Qlik Sense Enterprise.
The key point here is that Qlik Sense Enterprise delivers against all of the use cases and if you are a net new customer to Qlik that is exactly where I’d encourage you start. With a single platform, single UX, HTML 5 and responsive design plus shared and common data models with rich governance across all five use cases. Of course if you are just looking at building for embedded or custom use cases or you are an OEM/developer we have packaged these development capabilities under the Qlik Analytics Platform offering as well. QlikView fits into the platform as well with many common elements including the exact same engine with the release of version 12. QlikView will also be enhanced with annual releases. So if you have an investment in QlikView, you can continue to expand your guided analytics environment with confidence. Should you find a need to expand to other use cases you may want to consider adding Qlik Sense Enterprise.
Why is our platform different?
For a start, let me call out the pink elephant. Platform does not equate to antiquated stack vendors with underlying technology platforms. I’m sure you know the “red” or “blue” logos I’m referring to. Instead, we are very specific about a focused visual analytics platform, which delivers all the underlying technology and ecosystem needed to support any of the modern business intelligence or analytic use cases described above. Unlike other stack ‘platform’ vendors, you don’t need layers and layers of infrastructure just to get a simple report, or dashboard or self-service solution. With Qlik you can start with one simple use case and move to the others, whenever you want. This is only made possible with a modern visual analytics platform that offers all of the following:
- Data integration and management to enable complex, scalable analysis
- Associative data indexing to support free-form exploration and discovery
- Governance and security to protect data integrity
- A library of modern visualizations for your data
- Open and standard API access with full capability to extend and embed
- Toolkits to accelerate and simplify development and creation
- A choice of on- and off-premise deployment models
- A broad ecosystem and community to inspire innovation
As with most things there will be those who claim to offer a platform but I’m pretty confident our approach is unique. A single platform, with a uniquely powerful associative model to drive against all analytics use cases. Learn more about our approach here: http://qlik.com/see-the-whole-story/