So, you are considering QlikView.
You’ll be wondering if it's a good choice for you, if its feature set compares well to other options on the market, and if it is priced affordably enough for what you get.
This article will break all that down for you and more.
Plus, at the end of the article you’ll find links to alternatives to QlikView as well as our top picks for the options in this category.
Or, just go straight to Our top picks for Best analytics tools
Without further ado, let’s get started.
QlikView claims to be the pioneer of the modern analytics era. It has since transformed by incorporating the game-changing associative analytics engine for better data analysis. QlikView augments and enhances human intuition with AI-powered insights, helping businesses move from passive to active analytics.
Here are some exclusive features of QlikView:
Visualization and Dashboards: QlikView's one-of-a-kind associative technology brings unmatched power to the core of its industry-leading analytics experience. QlikView empowers your users to explore freely at the speed of thought with hyperfast and contextual calculations. With QlikView's interactive dashboards, you can create stunning reports and uncover hidden patterns or trends.
Unify Self-service and Enterprise analytics: QlikView meets both self-service and enterprise data analytics requirements. You can access powerful semantic models, an application lifecycle management toolkit, open connectivity framework and pixel-perfect paginated reports. QlikView is a flexible platform that serves all business industries.
Industry-leading AI: With QlikView, you can take advantage of the latest advances in Microsoft AI to build machine learning models. It helps you swiftly find insights from structured or unstructured data. QlikView has the best-in-market AI capabilities and amplifies your business decisions through quality data insights.
Improved Publishing Efficiency: QlikView allows you to quickly identify differences and move content from development and testing to production with confidence. Additionally, it ensures your datasets are ready for analysis by preparing them beforehand. QlikView provides unrivalled publishing efficiency.
Augmented Analytics: QlikView uses AI to help hour users understand and utilize data more effectively, minimizing cognitive bias, amplifying discovery, and elevating data literacy. QlikView combines a real-time data pipeline with action-oriented analytics capabilities, creating active intelligence that provides in-the-moment insights.
High-Performance SaaS: With QlikView, you get unmatched analytics performance and flexibility. You can deploy a full enterprise SaaS solution or use QlikForts. QlikView is committed to giving you full control of your data and analytics, supporting any combination of public cloud, private cloud and on-premise sites.
Mobility: QlikView is built for mobility, with responsive design and touch interaction native to the platform. You can easily create and explore analytics through QlikView's responsive web client or native applications. QlikView enables you to build an analytics app once and get fully interactive offline analysis.
Reporting: QlikView lets you easily subscribe yourself and others to QlikView's sheets and individual analytics for scheduled PDF delivery routinely. You can create reports using QlikView analytics, with highly flexible design and formatting control. QlikView simplifies data reporting by offering swift distribution and customization.
QlikView offers 2 Pricing options for its data analytics platform.
The "Business" plan is priced at $30/user/month upon annual billing and offers augmented analytics, an associative engine and group collaboration.
The "Enterprise SaaS" plan offers a custom pricing option. Additionally, it provides multiple user types, increased capacity enterprise governance and best-in-class modern analytics.
QlikView Discounts and Coupons
QlikView currently does not offer any discounts or coupons for its pricing options.
QlikView Free Trial
QlikView offers a 30 Day free trial for its "Business" plan without any buying obligations.
QlikView, A short how-to guide
This guide is designed to give you an overview of how QlikView works and how to use it effectively. After completing this guide, you will be able to:
• Download and install QlikView
• Launch QlikView and open a workflow
• Configure nodes in a workflow
• Execute a workflow
• Export and share a workflow
Before you can use QlikView, you need to download and install it on your computer. QlikView is available for Windows, Mac, and Linux.
To download QlikView, go to the QlikView website and click the Download button.
On the next page, select the edition of QlikView that you want to install. For this tutorial, we will be using the Community Edition.
Click the Download button and select the installer for your operating system. Once the download is complete, launch the installer and follow the prompts to install QlikView.
Once you have QlikView installed, launch the application and you should see the "Welcome to QlikView" dialog.
From the "Welcome to QlikView" dialog, you can either choose to open an existing workflow or create a new workflow. For this tutorial, we will be creating a new workflow.
Creating and exporting a new workflow
To create a new workflow, click on the "Create new workflow" button.
This will take you to the workflow editor, which is where you will be spending most of your time in QlikView. The workflow editor is where you will be adding nodes and connecting them together to create your data analysis workflow.
Click on a data set to start analyzing it. You can right-click on a set and select combine to superimpose it with another relevant data set. You can save intermediate results by simply exporting the report while analyzing.
Click on "Workflows" to create automation workflows. Here, you can model the data analysis process for a set and put it on autopilot.
Once you login to your QlikView account, you'll see the dashboard section. Here, you can see different data sets and recently gained insights.
Click on a data set to start visualizing it in graphical form for better comprehension of data. You can store insights by creating and exporting reports from the data sets you analyze.
Moreover, you can combine different data sets or eliminate certain entries that are faulty or not required.