Produktivitaet steigern

Increase Productivity

Power business processes with data and insights, support and automate actions and decision-making.
Current Situation

Companies have widely built data lakes – which often lack a semantic “understanding” of data points and their interconnections. Analytics and reporting require manual model definitions by data scientists – largely limiting capabilities and speed of analytics. 

Objective:

Establish a semantic core graph and scale it up with ontologies, coveringbusiness structures and models as well as external graphs.

(e.g., lines of business, products, customers)

How CID can support:
  • CID’s Neuro Computing blends graphs from internal and external sources
  • Builds dynamic structures without a static model definition
  • Continuously updates an unified, agile graph
Objective:

Apply real-time graph and event analyticsto derive actionable insights and business process support.

(e.g., emerging risks, trigger events, sentiment)

How CID can support:
  • ‍Automated detection of trigger events (e.g., product liability issues, customer feedback)
  • Qualitative and quantitative evaluation (e.g., sentiment)
  • Agile perspectiveson graph (e.g., matching customer demand with product development roadmap)
Objective:

Automate processes based on robotic process automation (RPA) and higher-value analytics.

How CID can support:
  • ‍Consistent, semantic data representation across systems
  • Auto-processing of records based on business rules and analytics
  • Pro-active alerting on entities and issues based on activities and events
How Companies Benefit

Apply Artificial Intelligence to data lakes and create a truly comprehensive, agile Knowledge Base ready to power pro-active analytics, business applications, and processes with reliable but dynamic models and up-to-date information. 

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Smart Answers!

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