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Digital Planning, Forecasting and Optimization

Within a company, the capabilities of an IT-supported solution to support users in digital analysis and planning are more and more in demand.Contact us now

What is digital planning?

After the data has been prepared and visualized via dashboards and reports, it is now necessary to use the data obtained accordingly. Thus, the term Business Intelligence continues to encompass methods of corporate performance management, i.e., the support of planning and control processes in the company.

Digital planning, forecasting and optimization describes all the capabilities of an IT-supported solution in the company to support users in digital analysis and planning. Learn more about the advantages of Digital Planning here.

Digital planning, forecasting and optimization for business processes

Typical questions that can be answered in the context of Business Intelligence with Digital Planning and forecasting:

  • Away from "Excel hell": How can the planning process be simplified with digital planning and still remain agile?
  • What are the possible applications of the extensive toolbox of digital planning?
  • How can Data Science methods, e.g. forecasting, improve digital planning?
  • What are the fields of application for mathematical optimization in planning?
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Advantages of Digital Planning, Forecasting and Optimization

  • Faster decision making

    In uncertain times, digital planning can help companies make decisions quickly. Scenarios are considered, dependencies resolved, consequences presented. In seconds, large teams are provided with the information they need; conversely, global teams provide the company with data that is vital to its survival.

  • Central knowledge instead of seperate hunches

    In addition to speed, traceability and trust are key factors in digital planning. The central, quality-assured data storage as well as access rights and defined process flows make information and its procurement transparent: All users access the central data storage via different paths (Web, Excel), which incidentally provides the necessary functions required for planning purposes due to its analytical character.

  • Data Science as valueable addition

    Data Science, whether it be forecasting or decision optimization, usefully complements digital planning. Hidden correlations become visible and potential alternative actions are shown. Integrated into the planning process, these additional possibilities create comprehensive intelligence that directly benefits the business process.

How digital planning works:

The digital planning solution includes all of these tasks: Through central data storage with all dependencies and distributed access, all data is networked and mutual influences are defined. Thus, effects, e.g. from sales planning on cash flow, can be identified immediately, compared by means of the scenario function and, if necessary, planned in a targeted manner by Mathematical Optimization.

Data Science complements manual digital planning with statistical methods

  • Comprehensive forecasting algorithms automatically detect historical trends
  • AI and ML are used to identify dependencies and take them into account in planning
  • Statistical methods can be used separately from manual planning or as a supplement to it
  • Example: Consideration of seasonalities for sales planning, or correlations to advertising measures

Mathematical optimization provides decision templates and narrows down variants

  • The previous methods provide one (or more) planned scenarios, which have to be implemented under given circumstances, e.g. production capacities
  • Mathematical optimization calculates the optimal solution under the given parameters from thousands of options for action
  • Example: Calculation of a production plan taking into account sales planning, production capacities, costs of raw materials and distribution, markets

Application examples

From analysis and planning to forecasts and optimization: Learn about examples of use here.

The planning solution forms the nucleus of the application: "IBM Planning Analytics" (formerly "TM1").

The solution is optimized for planning applications: the central data storage does not only ensure common consistent data access across all access options, but also a powerful engine for all types of calculation: aggregation distribution (spreading), rules, etc.

For more information about IBM Planning Analytics, click here.

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Forecasting or Data Science is a special discipline in Data Processing, which uses mathematical methods (statistics or Artificial Intelligence / Machine Learning) to identify connections or calculate time series into the future. We use the integration of IBM Watson Studio and IBM Planning Analytics to calculate forecasts in real time from past data.

Here you can find out more about Data Science with IBM Watson Machine Learning or Watson Studio.

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Whether with or without Data Science, different scenarios often have to be considered and evaluated in course of planning. Above all, framework parameters must be adhered to: production capacities, unit costs and prices, transport routes, etc. Often there are many – sometimes competing – inputs on the way to the goal, with millions of possible combinations. Mathematical Optimization uses all parameters and boundary conditions to determine the optimal combination to achieve the business relevant goals in a very short time. 

Here you can find out more about Decision Optimization with IBM Decision Optimization.

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Our services for digital planning, forcecasting and optimization

Depending on the scope of the requirements, a planning project usually starts with the definition of a data model and with the transfer of the relevant data from the previous system into the planning system. Calculations are then specified, evaluations created, and planning processes defined. Data science is integrated into the planning process as an expansion stage, or mathematical optimization is used to resolve conflicts, e.g. between sales and production planning.

Digital Planning

Thanks to many years of expertise not only in all technical aspects, but especially in all business aspects, we can quickly understand and implement the requirements of the business department. Thus, an already usable model is created within a few days, which is continuously improved in agile collaboration with the customers.

Forecasting

The extension of a digital planning with Data Science requires the close cooperation of both disciplines. We have the technical know-how of integration and the professional knowledge in both digital planning and Data Science to perfectly complement planning with Data Science.

Mathematical optimization

The resolution of a technical dilemma between different, partly contradictory target values and numerous boundary conditions is one of the core competencies of our consultants. In close cooperation with digital planning, a solution proposal for urgent challenges in the company is thus simultaneously created from digitized manual planning.
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We would be happy to advise you in a non-binding meeting and show you the potential of demand planning, forecasting and optimization. Just leave your contact details and we will get back to you as soon as possible.

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Decision Optimization

Mathematical algorithms enable fast and efficient improvement of partially contradictory specifications. As an integral part of the IBM Data Science platform "Cloud Pak for Data" or "IBM Watson Studio", decision optimisation has been decisively expanded and embedded in the Data Science process.

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Business Intelligence

Business Intelligence (BI) is a technology-driven process for analyzing data and presenting usable information. On this basis, sound decisions can be made.

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Dashboards & Reports

The discipline of Business Intelligence provides the necessary means for accessing data. In addition, various methods have developed that help to transport information to the end user through various technologies.

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Operationalization of Data Science (MLOps)

Data and Artificial Intelligence (AI) can support almost any business process based on facts. Many companies are in the phase of professional assessment of the algorithms and technical testing of the respective technologies.

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Data Governance

Data Governance describes all processes that aim to ensure the traceability, quality and protection of data. The need for documentation and traceability increases exponentially as more and more data from different sources is used for decision-making and as a result of the technical possibilities of integration in Data Warehouses or Data Lakes.

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Big Data, Data Lake & Data Warehousing

For the optimal solution – with special consideration of the business requirements – we combine different functionalities.

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Data Science, Artificial Intelligence and Machine Learning

For some time, Data Science has been considered the supreme discipline in the recognition of valuable information in large amounts of data. It promises to extract hidden, valuable information from data of any structure.

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Data Integration, ETL and Data Virtualization

While the term "ETL" (Extract - Transform - Load / or ELT) usually described the classic batch-driven process, today the term "Data Integration" extends to all methods of integration: whether batch, real-time, inside or outside a database, or between any systems.

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IBM Watson Studio

IBM Watson Studio is an integrated solution for implementing a data science landscape. It helps companies to structure and simplify the process from exploratory analysis to the implementation and operationalisation of the analysis processes.

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IBM SPSS Modeler

IBM SPSS Modeler is a tool that can be used to model and execute tasks, for example in the field of Data Science and Data Mining, via a graphical user interface.

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IBM Planning Analytics mit Watson

IBM Planning Analytics with Watsons enables the automation of planning, budgeting, forecasting and analysis processes using IBM TM1.

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IBM Cognos Analytics 11

IBM Cognos Analytics is a central platform for the provision of dispositive information in the company. With the reporting and analysis functions of IBM Cognos, the relevant information can be prepared and used throughout the company.

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IBM Cloud Pak for Data

The Cloud Pak for Data acts as a central, modular platform for analytical use cases. It integrates functions for the physical and virtual integration of data into a central data pool - a data lake or a data warehouse, a comprehensive data catalogue and numerous possibilities for (AI) analysis up to the operational use of the same.

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Internal and external security

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IBM Db2

The IBM Db2database has been established on the market for many years as the leading data warehouse database in addition to its classic use in operations.

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IBM Cloud Pak for Application

The IBM Cloud Pak for Application provides a solid foundation for developing, deploying and modernising cloud-native applications. Since agile working is essential for a faster release cycle, ready-made DevOps processes are used, among other things.

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IBM Cloud Pak for Automation

The IBM Cloud Pak for Automation helps you automate manual steps on a uniform platform with standardised interfaces. With the Cloud Pak for Business Automation, the entire life cycle of a document or process can be mapped in the company.

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IBM Netezza Performance Server

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Confluence from Atlassian

Create, organize, and collaborate on tasks - all in a single place. Confluence is a workspace for teams and organizations where you can store your documentation and collaboratively develop and share knowledge. Dynamic pages give your team a place to create, capture, and collaborate around projects or idea development.

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Jira Service Management from Atlassian

Enable developers, operators, and other teams from different departments to collaborate and improve their service management responsiveness. Respond quickly to incidents, requests, and changes, and provide your customers with an optimized service experience.

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Anwendungsmöglichkeiten

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IBM Watson® Knowledge Catalog/Information Governance Catalog

Today, "IGC" is a proprietary enterprise cataloging and metadata management solution that is the foundation of all an organization's efforts to comply with rules and regulations or document analytical assets.

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IBM InfoSphere Information Server

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Incident communication management

Statuspage allows you to keep track of the status of individual system-relevant components as well as a history of past incidents. Our self-created solution also allows you to connect various monitoring tools and query them in specific cycles. The component failure automatically generates an e-mail to your ticket system.

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FinOps Consulting

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Gain visibility into your cloud costs and sustainably reduce them by applying best practices from FinOps.

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Enterprise Service Management

Our Enterprise Service Management Solution offers you a way to make Service Management accessible to all participants via an easy-to-use service portal. You can map your processes in this portal according to defined procedures and connect them to other systems. In addition, you relieve the process participants through automation.

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Cloud from Atlassian

Atlassian Cloud gives even small teams the ability to leverage the Atlassian product world. It allows you to flexibly adjust the number of users. Furthermore, you can choose from three paid variants of Cloud products. In this way, you always adapt your Atlassian product to your individual requirements. The multiple certified Atlassian Cloud solutions are hosted at Amazon Web Services Inc.

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Bamboo, Bitbucket, Sourcetree

Continuous Integration and a Continuous Delivery Pipeline with Bamboo, Bitbucket and Sourcetree. We can help you with our years of experience as a user as well as a solution partner of Atlassian products in many areas.

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FinOps Microsoft - Microsoft Cloud Cost Optimization

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IBM Cloud Pak for Data Accelerator

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IBM Cloud Pak for Data System

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Enterprise Content Management (ECM) & Archiving

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Enterprise Content Management (ECM) & Archiving

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Enterprise Content Management (ECM) & Archiving

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Enterprise Content Management (ECM) & Archiving

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Modernes Business Intelligence und Data Warehouse System

IBM Cloud Pak for Data System enables healthcare group AGAPLESION to effectively manage data and perform complex analyses.

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Standardized data management creates basis for reporting

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AI & Digitization for the Transportation and Logistics Indus

Digitalisierung und Transparenz der Prozesse sowie automatisierte Unterstützung bei der Optimierung können Logistikunternehmen helfen, den Spagat zwischen Kosten und Leistung besser zu bewältigen, um langfristig als wertvoller Partner der Wirtschaft zu agieren.

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Standardize and optimize project management | Atlassian

With defined standard templates, you can easily optimize your project management and use BigPicture to keep track of the status of your project, dependencies between tasks, and the planning and workload of your team.

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Insurance

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IT Asset Management – Reducing Costs and Risks Sustainably

We help customers to increase the transparency of IT assets in use, identify potential savings for hardware and software, and avoid compliance risks at the same time.

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Talend Data Fabric

The ultimate solution for your data needs – Talend Data Fabric includes everything your (Data Integration) heart desires and serves all integration needs relating to applications, systems and data.

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IT Controlling – Determination and allocation of IT costs

We help to make IT controlling processes efficient and effective and to introduce suitable procedures for the internal allocation of IT costs.

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Data Vault Modeling Approach

Data Vault is a modeling technique that is particularly suitable for agile Data Warehouses. It offers high flexibility for extensions, complete historization of data and allows parallelization of data loading processes. Data Vault supports without significantly increasing the complexity of the Data Warehouse over time.

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Talend Real-Time Big Data Platform

Talend Big Data Platform simplifies complex integrations so you can successfully use Big Data with Apache Spark, Databricks, AWS, IBM Watson, Microsoft Azure, Snowflake, Google Cloud Platform and NoSQL.

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Talend Data Integration

Talend Data Integration offers a highly scalable architecture for almost any application and any data source - with well over 900 connectors from cloud solutions like Salesforce to classic on-premises systems.

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Talend Application Integration / ESB

With Talend Application Integration, you create a service-oriented architecture and connect, broker & manage your services and APIs in real time.

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TIMETOACT simplifies reporting in IBM Cognos

In the course of modernizing the application for Bette GmbH & Co. KG, TIMETOACT individually expanded the filter and selection options in IBM Cognos to include important customer-specific functions. The family-owned company particularly benefits from the search and grouping function.

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IBM Cloud Pak for Data – Test-Drive

By making our comprehensive demo and customer data platform available, we want to offer these customers a way to get a very quick and pragmatic impression of the technology with their data.

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Cloud Migration | Atlassian

The TIMETOACT team has been able to develop best practices as a result of a large number of migrations in recent years. These form the foundation of our standards, templates, scripts, and checklists and help you to move securely into the Cloud.

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Flexibility in the data evaluation of a theme park

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IT Sourcing & Vendor Management – Managing IT Partners

We ensure the application of best practice methods for the selection and evaluation of IT vendors and service providers and for cost-optimized supplier management.

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Database technologies

Flexible, secure and fast database systems form the stable basis of your daily work. We manage your databases optimally.

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Mix of IASP & ILMT support for optimal license management

To minimize financial risk and personnel time, UTA resorts to proactive management of the license inventory (IASP) by TIMETOACT. In this way, not only will IBM license audits be avoided in the future, but TIMETOACT will also ensure compliance-compliant use of the ILMT as part of license management.

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Demand Management – Clarity on IT needs

We help to determine your effective IT needs, e.g. for workstations with Microsoft Office 365. Save money by only buying what you really need.

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TIMETOACT GROUP acquires Atlassian Partner catworkx

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Artificial Intelligence & Data Strategy

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IBM Watson Discovery

With Watson Discovery, company data is searched using modern AI to extract information. On the one hand, the AI uses already trained methods to understand texts; on the other hand, it is constantly developed through new training on the company data, its structure and content, thus constantly improving the search results.

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Microsoft Azure Synapse Analytics

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AI & Data Science

The amount of data that companies produce and process every day is constantly growing. This data contains valuable information about customers, markets, business processes and much more. But how can companies use this data effectively to make better decisions, improve their products and services and tap into new business opportunities?

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License and contract optimization

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AI Factory for Insurance

The AI Factory for Insurance is an innovative organisational model combined with a flexible, modular IT architecture. It is an innovation and implementation factory to systematically develop, train and deploy AI models in digital business processes.

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License and software consulting from a single source

TIMETOACT has been supporting the sports retailer for more than two years, not only for the support of the ILMT, but also for consulting on IBM Cognos - which was part of the IBM audit, among other things.

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Microsoft Azure

Azure is the cloud offering from Microsoft. Numerous services are provided in Azure, not only for analytical requirements. Particularly worth mentioning from an analytical perspective are services for data storage (relational, NoSQL and in-memory / with Microsoft or OpenSource technology), Azure Data Factory for data integration, numerous services including AI and, of course, services for BI, such as Power BI or Analysis Services.

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IBM Watson Assistant

Watson Assistant identifies intention in requests that can be received via multiple channels. Watson Assistant is trained based on real-live requests and can understand the context and intent of the query based on the acting AI. Extensive search queries are routed to Watson Discovery and seamlessly embedded into the search result.

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Advice around Mendix

Develop your solutions quickly and independently in low-code with the leading technology vendor. Use the Mendix toolkit and model your applications with visual elements.

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HOCHBAHN Managed Services

A high-performance and transparent IT forms the basis for being able to react quickly to new requirements. The IT specialists of TIMETOACT GROUP take over the managed services for the entire IBM WebSphere platform of Hamburger Hochbahn AG (HOCHBAHN).

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Talend migration in record time

TIMETOACT migrated the Talend Data Integration Suite, including all workflows and processes, to the internal system environment of the municipal utility (with a subscription license) within a very short period of time and will continue to provide support as a support partner in the future if required.

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Healthcare

IT and digitalisation are too often seen in Germany as pure cost drivers, without taking into account the revenue opportunities and potentials. We know the challenges in the healthcare sector and help you find the best IT solutions.

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Enterprise Architecture – Synchronising Business and IT

With pragmatic approaches and based on industry standards (TOGAF), we support clients in the introduction of an effective EAM.

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Databases with Open Source

Every dynamic application needs some form of database to store its data logically and sorted. However, there is no one-size-fits-all solution, but it should always be looked at the use case to make the appropriate choice.

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License analysis and license consulting

Only well-founded information can serve as a basis for meaningful decisions or budgeting. Therefore, we are happy to offer you an inventory of your licenses and our experts will also analyze your infrastructure.

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IBM Watson Knowledge Studio

In IBM Watson Knowledge Studio, you train an Artificial Intelligence (AI) on specialist terms of your company or specialist area ("domain knowledge"). In this way, you lay the foundation for automated text processing of extensive, subject-related documents.

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Reduce your costs with Software Asset Management (SAM)!

Companies find it increasingly difficult to keep track of the software they use. We support you in this!

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Artificial Intelligence & Data Science

Data Science is all about extracting valuable information from structured and unstructured data. Together with Artificial Intelligence (AI) – the ability of a machine to imitate intelligent human behavior – you can make accurate decisions, based on high-quality information. Moreover, you can react quickly to recent developments.

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Open and secure IT

Just a few years ago, insurers were reluctant to move into the cloud or platform world. Concerns about security and governance often prevailed. The paradigm has changed. Insurers are looking at cloud solutions and are increasingly willing to rely on standard solutions for core applications as well.

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Smart Insurance Workflows

Using a design thinking approach, we orient workflows to the customer experience and design customer-centric end-to-end processes. Intelligent Document Processing enables a high level of dark processing and ensures speed and quality.

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