Use Case | INFORM Datalab

Home
Category: Use Case

The archive description field doesn't exist for the current taxonomy so no content will be displayed

Data Analytics, Use Case

Die digitale Transformation vorantreiben – Reifenhäuser Blown Film zeigt Ihnen, wie Sie Data Analytics richtig einsetzen!

Reifenhäuser Blown Film unterstützt seine Kunden in mehr als 7.500 Projekten mit modernen Technologien und einem langjährigen Know-how entlang der gesamten Wertschöpfungskette bei der wirtschaftlichen Produktion hochqualitativer Blasfolien, die am Markt überzeugen und Ihren Geschäftserfolg sichern.

Als Vorreiter im Maschinenbau hat die Reifenhäuser Group frühzeitig erkannt, wie wichtig Daten und Digitalisierung für ihr Geschäft sind. Bereits seit vielen Jahren beschäftigt sich das Unternehmen intensiv mit diesen Themen und setzt dabei auf innovative Lösungen wie Qlik Sense. Reifenhäuser Blown Film hat bereits eine Vielzahl von Projekten erfolgreich mit Qlik Sense umgesetzt.

Data Analytics, Use Case

Die Wiener Linien erweitern Business-Intelligence-Lösung mit Write! um Planung und Forecasting effizienter zu gestalten

Branche

Transport & Logistik

Herausforderung

Fehlende Möglichkeit, Daten direkt in der Business-Intelligence-Lösung Qlik Sense zu bearbeiten

Highlights

Editieren und Zurückschreiben von Daten in die Postgres-Datenbank direkt über die Qlik Sense-Oberfläche
Planung und Prognose ohne zusätzliche Software wie Excel
Vereinfachte Verwaltung, da alle Änderungen in einer Qlik-Anwendung vorgenommen werden
Keine Konsolidierung verschiedener Dateien erforderlich, da alle Mitarbeitenden mit demselben Tool arbeiten
Steigende Akzeptanz von Qlik Sense als Business-Intelligence-Tool durch vereinfachte Editierung, Kommentierung und Eingabe von Daten

„Mit Write! können wir unsere Prozesse automatisieren und Planung sowie Forecasting effizienter gestalten“

- Alexandra Eckelhart, Senior Business Intelligence Expert, Wiener Linien GmbH & Co. KG

Landwirt navigiert Drohne über Ackerland

Data Analytics, Use Case

LAVEBA Genossenschaft erweitert BI-Lösung mit Write! zum Budgetierungstool

Branche

Detailhandel, Brenn- & Treibstoffe, Agrarwirtschaft

Herausforderung

Ablösung von Excel als Budgetierungswerkzeug
Optimierung von Budgetierungsprozessen unter Einsatz der Business-Intelligence-Lösung Qlik Sense

Highlights

Planung in Echtzeit
Editieren und Zurückschreiben von Daten direkt in Qlik
Budgetierung und Forecasting ohne Excel oder zusätzliche Software
professionalisierter, standardisierter Planungs- und Budgetierungsprozess
einfache Ergänzung relevanter Kennzahlen aus nicht direkt an das BI-Tool angebundenen IT-Systemen

„Durch den Einsatz von Write! sind wir jetzt in der Lage, Budgetdaten einfach und komfortabel einzugeben und die Budgets schnell und unkompliziert nach unterschiedlichen Betrachtungsweisen auszuwerten und das hochgradig automatisiert direkt in der Business Intelligence Software.“

- Lukas Macario, Leiter Controlling, LAVEBA Genossenschaft

Data Analytics, Use Case, Use Case - EN

Process mining ensures process improvements in medical technology

Challenge

A German medical technology provider has very complex sales processes, as a number of stakeholders such as health insurance companies, patients, doctors, nursing services, etc. are involved in a single order, and completely different factors come into play depending on the situation. The processes are hardly monitored and controlled. Both internal and external factors (organizational/regulatory) make it almost impossible to define homogeneous processes.

Solution

Based on the data analytics tool Qlik, a process mining solution was developed that prepares the purchase-to-pay process of various business units based on different data sources (mainly SAP) and processes it as event data with the customer- and business unit-specific business logics.

Added value

Data-based decisions for process improvements
Easy identification of bottlenecks and potential for automation
Fast detection and averting of deviations in control processes
Self-service process analysis & improvement
100% process overview

Highlights

P2P processes can now be independently checked and tracked.

Data Analytics, Use Case, Use Case - EN

Automatic reporting and prioritization relieves supplier management of manual tasks

Challenge

An international manufacturer of medical equipment wants to automate its reporting to external suppliers with supplier ratings and an overview of the status and urgency of orders. In addition, projects and assemblies are to be prioritized so that the associated subassemblies and individual parts are also prioritized. This is to be done across departments from project management to procurement and production to external production.

Solution

For the cross-departmental solution, all relevant data from the different areas and their prioritizations were combined. In addition, a specially developed user interface has been created that provides overviews for the various departments.

Added value

Supplier management employees are enormously relieved of manual time-consuming work through automation

Highlights

Several 100 suppliers are organized automatically
Automatic prioritization of purchase orders or production orders or external productions

Data Analytics, Use Case, Use Case - EN

Automotive manufacturer creates fast and accurate planning for inventory and capacity

Challenge

The planning and analysis of nationwide inventories and capacities of a leading German automotive manufacturer are very complex. Nevertheless, these processes are important for the profitability of the company. In addition, a planning of upcoming scrapping quantities in combination with a stock requirement planning is to be created.

Solution

A data analytics solution was implemented in combination with our planning extension Write!, including master data management and a release process for plans. This was also integrated into the analyses.

Added value

Master data management for warehouses
Data-based planning solution for warehouse capacity and inventory development
10.1% cost savings
62.3% faster planning
29.6% more accurate planning

Highlights

Mapping of a multi-stage planning process with data-based decision-making tools
Integration of plans into the analytics solution
Merging of history, snapshot and planning in one environment

Zahnräder einer Maschine in der Nahaufnahme

Data Analytics, Use Case, Use Case - EN

Machine builder automates internal and external project overview

Challenge

A machine manufacturer for drive systems needs transparency towards its customers regarding major projects.

Solution

By linking the project data to production and procurement data from SAP, the data could be clearly prepared.

Added value

Clear project overview that is created automatically and can be made available to the machine builder's customers
Prevention of penalties
Quick identification of critical parts

Highlights

SAP PS collective orders combined with SAP PP elements

Geschäftsmann, der ein digitales Tablet in der Fertigungsstraße einer Fabrik benutzt

Data Analytics, Use Case, Use Case - EN

Machine builder accelerates Big Data loading processes and optimizes data analysis

Challenge

One of Germany's largest engineering companies and automotive suppliers requires an analysis of more than 180 petabytes of sensor data from autonomous driving vehicles (including ABS, radar, camera systems, vibration, GPS signals).

Solution

A Qlik Sense cluster system was used to efficiently analyze the large volumes of data, using a Cloudera system with HBase / Impala.

Added value

After using the new system, charging processes could be accelerated from 3h to 3min.

Data Analytics, Use Case, Use Case - EN

100% PSD2 compliant fraud reporting for payment service providers

Challenge

A European payment service provider has over 1 billion records per year and wants to improve its existing fraud detection. Current PSD-2 rules require enhanced reporting for all industry participants in a high security environment.

Solution

Fraud reporting based on data from the RiskShield fraud detection software was developed. This enables the creation of ad-hoc reports for clients and their customers for PSD2.

Added value

Fraud reporting based on very large amounts of data
Customer became supplier for PSD-2 reports of its customers
PSD2 Fraud Reporting Conformance for client and its customers at 100%

Highlights

Application monitoring for business-critical applications
Analysis of product usage behavior, marketing activities and customer structure
Data-based answering of conceptual & strategic questions
Automated visualization of data from different source systems

Data Analytics, Use Case, Use Case - EN

Global medical technology company gains central overview of all relevant key figures

Challenge

A globally operating company in the eye diagnostic sector needs a connection of different systems (PPS, BDE, customer service, quality management, personnel, production control) to merge the data from the different systems with the different databases or interfaces.

Solution

The data from the different systems was transformed, cleaned and merged.

Added value

Transparent overview of all company key figures

Highlights

Data sources Postgres SQL, MSSQL, REST API were connected and linked to form an overarching management dashboard

Page [tcb_pagination_current_page] of [tcb_pagination_total_pages]

First

Last