I love how CloverDX allows me to have multiple points of sale under the same company, which is ideal for managing a business like mine that needs different points of sale for various products. I also value the ease with which I can perform daily, monthly, and annual closures, as CloverDX provides me with clear transaction details, which is crucial for financial tracking and business stability. The daily reports are another feature I greatly appreciate, as they help me efficiently manage my inventory, allowing me to make more informed decisions and maintain an adequate stock. This facilitates a level of control over the business that is difficult to achieve otherwise.
The API integration in the tool has proven to be very useful in building new graphs which we use to connect to ERP system to load data by submitting necessary jobs which reduces manual effort.
DP
Deepak P.
Director - Cloud Practice | Sr. Technical Architect - (Cloud Native & DevOpsSpecialist) for Large Scale Digital Transformations
The most exciting new thing, by far, is the introduction of AI and machine learning components. This is a game-changer. The fact that CloverDX now allows you to run machine learning models locally for things like data classification and anonymization is brilliant. This keeps sensitive data in-house and addresses a lot of the privacy and governance concerns that we, as data and enterprise professionals, have to deal with constantly.
Other new OpenAIClient component is also really cool. It lets you integrate large language models (LLMs) into your graphs, giving you the power to do things like text summarization, content generation, and smart data cleaning.
I'm also a big fan of the improvements to the Data Manager and Wrangler. The ability to share Data Manager across multiple environments and the enhanced usability in Wrangler, like the Undo/Redo functionality, make a big difference in day-to-day work.
The CloverDX Data Integration Platform helps boost productivity and trust in data and processes by focusing on automation and robustness of data pipelines. It’s a single platform that covers the needs of the IT teams as well as providing a self-service interface to business users, covering the entire lifecycle of data from ingestion and processing to delivery and consumption.