01
The Challenge
There was an array of challenges faced by the client:
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Complex Query Language: The challenge of business users having to learn and use complex query languages for data retrieval, leads to a barrier for many.
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Technical Dependency: Heavy reliance on IT professionals for assistance with data queries, causing delays and bottlenecks in data access.
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Limited Collaboration: Difficulty in facilitating collaboration among departments and teams due to restricted data accessibility and retrieval complexities.
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Data Inaccessibility: Valuable data often remains inaccessible to a significant portion of the workforce, limiting its utilization for decision-making.
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Cost associated with Training Needs: The cost of extensive training and support for non-tech users to master complex query languages and tools.
02
The Solution
Eviden is implementing the Eviden Data Assistant at Austrian Railways. The solution simplifies the process of extracting valuable insights from your extensive database by using Plain language without learning database queries.
The solution has the following features:
- Real-Time Data Access: Gain immediate access to extensive live data.
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Impeccable Security: The solution prioritizes your data's safety. There are no security risks, and your production data remains impervious to performance threats, providing round-the-clock protection.
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Multi-lingual supported: Additionally, the solution supports the multi-lingual needs of the organization.
Eviden built this solution leveraging Microsoft Tech stack, Azure Open AI, and other Azure services.
03
The Outcome
Eviden is implementing the Eviden Data Assistant and the anticipated benefits for the customer are:
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Higher Data Utilization: More users actively querying the system means that data assets are put to better use, resulting in a greater return on investment in data resources.
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Enhanced Competitiveness: The ability to efficiently leverage a larger pool of data users can provide a competitive advantage, as organizations can respond more rapidly to market changes and trends.
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Enhanced Collaboration: Greater accessibility fosters collaboration among team members from diverse departments and locations, leading to the exchange of ideas and insights that can drive innovation.
Why Eviden:
Eviden's data science & and application teams have a great deal of experience delivering solutions using custom ML models, and applications and utilizing Azure AI services over the years.
Eviden is a strategic partner with Microsoft and has displayed capabilities around exploratory data analysis, data architecture, data analytics, custom application development, and digital experience design with its past successful implementations.