Features & Benefits

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QlikView approaches the challenge of business intelligence from a new perspective, that of providing value to end users quickly and empowering them with tools to craft their own view of the data. Traditional disk-based BI tools have a time consuming and costly development cycle that postpones demonstrated value until the end of the project. With QlikView, end users can be in charge of finding their own, business critical, slice of the data. Changes can be made in minutes, often by the end user. Condensing this process allows developers a high paced development cycle focused on delivering value to end users immediately.

Getting Away from Report Hell - the In Memory Development Advantage for BI

QlikView breaks the logjam of the traditional disk-based world, where end users and developers spend months documenting requirements and then more months coding these requirements into dashboards, analysis and reports, using different products for each output. Pulling data into QlikView takes minutes because data is not required to be staged or stored in intermediary formats such as data warehouses or cubes (although QlikView can source data from these systems). With QlikView, analysis and reports takes seconds because we leverage the speed of memory to integrate the process of building user interface (UI) with the process of building the underlying analytic calculations.

While developers build UI, QlikView software optimizes the underlying analytic queries and calculations. With this complete solution, developers have one place to build, instead of having to use separate tools for dashboards, analysis and reports. Finally, the resulting QlikView provides powerful associative search capabilities that allow end users to view their own slice of the underlying data.

Consolidate Disparate Datasources

QlikView provides a complete set of tools to manage data extraction and transformation. Because QlikView operates entirely in memory it does not require data to be stored in specific, aggregated, proprietary formats such as cubes. In addition, QlikView automatically detects and manages the associations between your data tables. Thus, loading data into QlikView is as simple as loading individual tables and letting QlikView associate the data.

In addition, QlikView compresses data as it is brought into memory. QlikView automatically reduces redundancy in data, and maps all data to memory-based pointers to minimize the memory footprint of QlikView analysis. The result is that data is typically reduced 10x (10:1 compression) from typical relational stores.

Consolidate Disparate Datasources
Associative Search Empowers End Users

Associative Search Empowers End Users

With QlikView, data resides in-memory, which means instant response time for end users. Its associative search can show relationships between data and data quality opportunities you may never have considered. And, because QlikView isn’t cube based, there’s no limit to filtering, calculating or designing the analytics you need.

Simple, Visual, Interactive

Users want to visualize and interact with all of their information through any dimension in one application. Traditional disk-based tools create a proliferation of cubes and views to support different aspects of the same data leading to confusion, errors, and administrative overhead. QlikView’s visual design elements provide the flexibility to bring multiple viewpoints into one, simplifying the end user experience and accelerating business value.

Simple, Visual, Interactive
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