Expect from S/4HANA in 2022 The major stumbling blocks of the migration to SAP S/4HANA and how to avoid them. Insights into the status quo of 200 companies from Germany.
Analyzing and enriching data, determining the status quo and migrating data from one system to another can become a major challenge, especially when the data landscape has grown steadily and a large amount of data is involved. With the help of SAP tools such as SAP ADP, SAP IS and SAP DS, our many years of experience and various in-house developments, we can solve these problems quickly and efficiently individualized for your organization, together.
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How we help clients
Agile data preparation
Optimization and continuous improvement of your data quality
System-wide visibility and continuous management of data quality problems
Front-end for editing data
Information steward
Monitoring and improving data quality in the company
Optimized data analysis by means of analysis rules and individual reporting
Increased understanding and overview through data profiling and metadata management
Data services
Seamless data transfer to new business systems without interfering in ongoing processes
Extracting, transforming and loading data into and out of systems from a wide range of manufacturer-independent sources
Analysis of data and data quality
Related Services and Solutions
Service
Camelot Data Quality Health Check
Relevant strategic and operative decisions are increasingly made based on big data analytics. As it is no longer a challenge to collect and process a wealth of data, the main challenge is to identify any issues in data quality.
Machine Leaning (ML) enables systems to learn from past data and adapt to new data. Machine Learning is used in many different use cases, mostly with respect to automation tasks and intelligent decision support.
Camelot is one of the leading consulting firms in the area of master data preparation and migration. Thanks to our many years of experience and countless successful projects, our customers can be sure that their project will also be implemented successfully and according to requirements.
Standardized migration procedure
Benefit from risk reduction as well as cost and time savings through proven and standardized procedures by our experienced teams.
Business rules
A set of best practice rules for data validation, built up over many years, provides quick insight into typical problems in the field of master data.
Experience in the field of master data
Our steadily growing customer base is constantly presenting us with new challenges, which is why we are well prepared for projects of all kinds.
SAP Data Quality
Learn more about SAP ADP, SAP IS and SAP DS on the SAP’s website.
SAP Data Intelligence is designed to develop and maintain data pipelines across systems and the data lifecycle, so you can transform your business into an intelligent enterprise.
SAP Business Intelligence solutions help companies make quick, informed decisions by making critical information and reports available at the right time.
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Trusted Advisor for Master Data Management, Data Quality Management and Data Transformation with a very profound knowledge of the current market and the business solutions behind it.