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QlikView for Developers

You're reading from   QlikView for Developers Design and build scalable and maintainable BI solutions

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Product type Paperback
Published in Jun 2017
Publisher Packt
ISBN-13 9781786469847
Length 546 pages
Edition 1st Edition
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Authors (2):
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Miguel  Angel Garcia Miguel Angel Garcia
Author Profile Icon Miguel Angel Garcia
Miguel Angel Garcia
Barry Harmsen Barry Harmsen
Author Profile Icon Barry Harmsen
Barry Harmsen
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Toc

Table of Contents (17) Chapters Close

Preface 1. Meet QlikView FREE CHAPTER 2. What's New in QlikView 12? 3. Seeing is Believing 4. Data Sources 5. Data Modeling 6. Styling Up 7. Building Dashboards 8. Scripting 9. Data Modeling Best Practices 10. Basic Data Transformation 11. Advanced Expressions 12. Set Analysis and Point In Time Reporting 13. Advanced Data Transformation 14. More on Visual Design and User Experience 15. Security Index

What is QlikView?

QlikView is part of the product portfolio developed by Qlik, a company formerly known as QlikTech that was founded in Sweden in 1993 and is currently headquartered in the US. QlikView is a tool used for Business Intelligence (BI). BI is defined by Gartner, a leading industry analyst firm, as:

An umbrella term that includes the application, infrastructure and tools, and best practices that enable access to and analysis of information to improve and optimize decisions and performance.

Following this definition, QlikView is a tool that provides access to information and enables its exploration and analysis via a user-friendly interface, which in turn improves and optimizes business decisions and performance.

Historically, BI has been very much IT-driven. IT departments were responsible for the entire BI life cycle, from extracting the data to delivering the final reports, analyses, and dashboards. While this model works very well for delivering predefined static reports, most businesses find that it does not meet the needs of their business users. As IT tightly controls the data and tools, users often experience long lead-times whenever new questions arise that cannot be answered with the standard reports.

How does QlikView differ from traditional BI?

Qlik prides itself in pioneering an approach to BI that is different from the way other BI tools have been traditionally developed and implemented, essentially introducing a new paradigm to the BI industry which, in time, other vendors followed. With QlikView and the rest of Qlik's product portfolio, Qlik aims to put the tools in the hands of business users, allowing them to become self-sufficient and less dependent on IT to perform their own analyses.

Independent industry analyst firms have noticed this new paradigm as well. In 2011, Gartner created a subcategory for data discovery tools in its yearly market evaluation, the Magic Quadrant for Business Intelligence and Analytics Platforms. QlikView was named the poster child for this new category of BI tools. Over subsequent years, the market experimented a steady shift of focus from IT-led reporting to business-led self-service analytics. Gartner identified 2016 as the year the tipping point had been passed and redefined the vendor landscape on its Magic Quadrant based on this new perspective.

Besides the difference in who uses the tool—IT users versus business users—there are a few other key features that differentiate QlikView from other solutions.

Associative user experience

The main difference between QlikView and other BI solutions is the associative user experience. Where traditional BI solutions use predefined paths to navigate and explore data, QlikView's associative architecture allows users to take whatever route they want. This is a far more intuitive way to explore data. Qlik describes this as working the way your mind works.

An example is shown in the following diagram. While, in a typical BI solution, we would need to start by selecting a Region and then drill down step-by-step through the defined drill path, in QlikView we can choose whatever entry point we like—Region, State, Product, or Sales Person. We are then shown only the data related to that selection, and in our next selection we can go wherever we want. It is infinitely flexible.

Associative user experience

Additionally, the QlikView user interface allows us to see which data is associated with our selection.

For example, the following screenshot shows a QlikView dashboard in which two values are selected. In the Quarter field, Q3 is selected and in the Sales Reps field, Cart Lynch is selected. We can see this because these values are green, which in QlikView means that they have been selected. When a selection is made, the interface automatically updates to not only show which data is associated with that selection, but also which data is not associated with the selection. Associated data has a white background, while non-associated data has a gray background. Sometimes the associations can be pretty obvious; it is no surprise that the third quarter is associated with the months July, August, and September. However, at other times, some not-so-obvious insights surface, such as the information that Cart Lynch has not sold any products in Germany or Spain. This extra information, not featured in traditional BI tools, can be of great value, as it offers a new starting point for investigation.

Associative user experience

Technology

QlikView's core technological differentiators are:

  • It uses an in-memory data model
  • It uses an associative architecture

The fact that it uses an in-memory data model means it stores all of its data in RAM instead of using disk. As RAM is much faster than disk, this allows for very fast response times, resulting in a very smooth user experience.

The associative architecture is what makes the associative user experience, discussed in the previous section, possible. It associates every single data point in the data model with every other data point at all times throughout the entire analysis process.

Because the associative engine is built entirely in memory, every association with every data point is processed dynamically with every click.

In a later part of this chapter, we will go a bit deeper into the technology behind QlikView.

Adoption path

There is also a difference between QlikView and traditional BI solutions in the way it is typically rolled out within a company. Where traditional BI suites are often implemented top-down—by IT selecting a BI tool for the entire company—QlikView often takes a bottom-up adoption path. Business users in a single department adopt it and its use spreads out from there.

Note

QlikView is free of charge for single-user use. This is called the Personal Edition (PE). Documents created in PE can be opened by fully-licensed users or deployed on a QlikView server. The limitation is that, with the exception of some documents enabled for PE by Qlik, you cannot open documents created elsewhere, or even your own documents if they have been opened and saved by another user or server instance

Often, a business user will decide to download QlikView to see if he can solve a business problem. When other users within the department see the software, they get enthusiastic about it, so they too download a copy. To be able to share documents, they decide to purchase a few licenses for the department. Then other departments start to take notice too, and QlikView gains traction within the organization. Before long, IT and senior management also take notice, eventually leading to enterprise-wide adoption of QlikView.

QlikView facilitates every step in this process, scaling from single laptop deployments to full enterprise-wide deployments with thousands of users. The following diagram demonstrates this growth within an organization:

Adoption path

As the popularity and track record of QlikView have grown, it has gotten more and more visibility at the enterprise level. While the adoption path described before is still probably the most common adoption path, it is not uncommon nowadays for a company to do a top-down, company-wide rollout of QlikView.

You have been reading a chapter from
QlikView for Developers
Published in: Jun 2017
Publisher: Packt
ISBN-13: 9781786469847
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