For many analysts in departments such as marketing, sales, finance, or CRM, the process of merging and preparing data is a slow and painful one. It often requires different tools and different specialists to collect data from different sources, modify data and enrich data for analytical purposes.
No more missing data. Changes in underlying data sources will not affect all of your reports. Because the Qlik Modeler and Script Generator are built into TX DWA, design one Qlikmodel without having to write a single line of code. Drag and drop the tables needed from the data warehouse and let TX DWA automatically change it Qlikscript, it's that simple.
DecoHelper or “Decomposition Helper” is a software application for Accounting and VAT Audit professionals. It supports the need for indepth evaluation of all VAT relevant transactions executed by a company.
DecoHelper identifies transactions executed by the business outside the routine AP and AR functions thus reducing the VAT risk profiles.
Update your data directly from your dashboard. We bring it Qlik Sense platform to a new level by extending the functionality and purpose of Business Intelligence. The traditional read-only tool moves to a tool that allows you to create, edit and delete data.
Eight different types of SAP extractions allow the BI architect to create an optimal, stable and fast data layer between SAP and QlikView. Below is detailed information on accessing SAP ERP, SAP BW and DeltaQ as a special case for high-end BI applications.
Ping is an intelligent Enterprise alert platform that combines the simplicity of condition-based alerts with the power of Machine Learning. Ping seamlessly connects to it Qlik Sense platform to provide a user-driven self-service portal for creating intelligent notifications.
The QUP is an online portal
A number of relevant screens come directly from the QMC (Qlik Management Console) and can be called centrally from the QUP. The QUP is a .NET application that basically runs on any database. By default we choose the QSR database (PostgreSQL) which is installed by default with a Qlik Sense Enterprise installation.
GeoQlik is a powerful and simple system to get geographical information visible in your QlikView documents. The dynamic and interactive geographic mapping by GeoQlik can be seamlessly integrated into your QlikView analysis. It allows the user to visualize data on map material and is therefore easy to understand for any user.
Visualize your Qlik Solution and explore relationships between databases, files, QVD and applications. Analyze formulas applied to all fields in all scripts. System documentation is generated automatically. Works 'out of the box' with Qlik Deployment Framework or any other framework or file structure.
QVScriptor is a wizard driven solution that provides automatic QlikGenerates View Scripts to create or refresh QlikView applications and run QlikView implementations. This makes BI Self Service possible.
Easily share your valuable visualizations, insights and analytics using the AnalyticsGate 365 Platform for Qlik® Sense. Continue to use your trusted Microsoft® Excel sheets, while simultaneously sharing your findings with several people.
Traditional data platforms and big data solutions struggle to achieve the fundamental goal: to enable every user to work with all data, without being limited on scale, performance or flexibility. With Snowflake every type of user gets more out of the data, regardless of whether it is a data analyst, data scientist or data engineer.
There is no easy way to deploy content between environments and make changes in IBM Planning Analytics or Qlik Sense to monitor or track. Sometimes complicated workflows and harmless errors become blocks and productivity is lost. Introducing Soterre® in your TM1 / Planning Analytics and Qlik Sense environments can prevent many of these problems.
Traditional data platforms and big data solutions struggle to achieve the fundamental goal: to enable every user to work with all data, without being limited on scale, performance or flexibility. With Snowflake every type of user gets more out of the data, regardless of whether it is a data analyst, data scientist or data engineer.