Everything in the world around us is data, and connections are playing a central role in it.
We have reached an era in which we have access to an unprecedented amount of
information with continuous extraction and storage of large volumes of highly complex
data. To leverage and communicate the insights within this information we must give
ourselves the means to understand and analyze not only the data itself but also its
connections and context.
Accessing and using context is a process we naturally go through when making choices and it is an essential part of gaining deeper, more transparent, and reliable insights.
While these connections are naturally present in the source, the way we store data often
dissociates these connections and removes the context from the data itself adding layers of complexity and risks of losing information during the analysis.
Graph technology is specifically designed to store, uncover, and leverage relationships and context within data to provide the level of understanding and transparency we really
need. The possibilities are almost endless and it can be challenging to identify which case to address and where to start to make a significant impact.
In this webinar, we will showcase the best strategies to initiate graph projects and share
some of the analytics solutions we have developed with our customers. We will deep dive
into two use cases where connections make a difference:
- Data quality management for highly complex manufacturing products
Here we will show how Graph technology can improve data quality by accelerating data
inconsistency detection and reporting in densely connected data, using the example of
Bill of Materials.
- Smart assistant for online customers
With this use case, we will show the impact of connected data for expert recommendations and how it can be combined with chatbots for improved online