Gartner Hype Cycle for Supply Chain Execution Technologies 2020
Get an objective review of logistics technologies and learn which ones are a must-have for your Logistics Target Vision.
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.
A key component of data management and an indispensable necessity for process automation is a high level of master data quality. Partnering with experts to gain insights into data quality management, is therefore a must to get ahead of the competition and achieve quick results.
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.
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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