Data modernization empowers businesses to collect, store, manage, and analyze their data more efficiently and make better use of it. Embracing data modernization using Azure allows businesses to take advantage of many features of cloud applications, such as scalability, reliability, security, and flexibility.
With many years of expertise across the data value chain, our skilled modernization experts can build a robust Azure data platform to help enterprises perform end-to-end data services hassle-free.
Data modernization is a four-stage process that starts by unifying and democratizing data. The next phase proceeds through continuous cleansing, migration, curation, and augmentation for further analytics and reporting purposes. Third, with appropriate insights, businesses make informed decisions and refine their processes.
Finally, with the use of AI and ML, they can drive sustainable growth and innovation. These four phases help businesses derive value from their data landscape.
PreludeSys is an end-to-end service provider for all your data estate needs—from data extraction through visualization. We are a trusted, certified Microsoft Gold Partner that has helped many mid and large-scale companies manage their data needs through a broad engagement model covering consulting, implementation, support, and optimization services.
Unify all your data in a centralized repository and gain complete data visibility.
Gain instant access to data from anywhere on any device through the Azure cloud.
Benefit from a highly secure cloud foundation with multilayered, built-in security controls.
Eliminate multiple systems and reduce the cost of maintaining legacy infrastructure.
Check out how modernizing the manual data handling process helped a leading medical nutrition company improve business operations and achieve greater flexibility
Learn how personalized Power BI reports helped the largest health benefits company meet customer requirements.
|cookielawinfo-checbox-analytics||11 months||This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Analytics".|
|cookielawinfo-checbox-functional||11 months||The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional".|
|cookielawinfo-checbox-others||11 months||This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Other.|
|cookielawinfo-checkbox-necessary||11 months||This cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary".|
|cookielawinfo-checkbox-performance||11 months||This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Performance".|