A UK-based telecom enterprise faced hurdles, including:
- Multiple data integration tools
- High operational complexities
- Manual coding processes and ineffective AI practices
Solutions & Impact:
Edgematics implemented solutions such as automated data engineering, AI-driven insights, and data governance centers of excellence. These innovations significantly improved operational efficiency, cut costs, and enhanced customer engagement.
This U.S.-based telecom enterprise grappled with:
- Performance issues caused by large data volumes
- Code-heavy, non-user-friendly tools
- High total cost of ownership (TCO) for current solutions
Solutions & Impact:
Edgematics optimized data migration, introduced reusable data flows, and enhanced call center data analytics. These efforts improved operational excellence and reduced costs, driving sustainable customer-centric practices.
Operating across North and South America, this banking leader faced:
- Ineffective data flows for AML engines
- Dependence on multiple data integration tools
- High operational complexities and manual processes
Solutions & Impact:
With a focus on data governance, custom data connector development, and data engineering automation, Edgematics helped Scotiabank achieve cost savings and operational improvements, fostering better customer outcomes.
This UAE-based banking enterprise struggled with the following:
- Complex data architecture data volumes
- Unproductive data engineering teams
- Limitations of existing vendor pricing models
Solutions & Impact:
Leveraging AI, ML, and predictive analytics, Edgematics enabled solutions such as analytical MDM, customer journey analytics, and data governance. This transformation enhanced customer engagement while reducing costs and operational inefficiencies.
This premier entertainment enterprise in the UAE dealt with:
- High operational complexities
- Ineffective AI practices
- Lack of data governance
Solutions & Impact:
By adopting behavior analytics, analytical MDM, and data engineering automation, Edgematics enabled personalized customer experiences, operational excellence, and cost savings.
A leading North American retail enterprise faced challenges such as:
- Disparate customer and product data
- High operational complexities
- Ineffective AI practices
Solutions & Impact:
Edgematics implemented solutions in data governance, AI, and ML, focusing on de-duplication, asset management, and analytical MDM. These innovations enhanced customer satisfaction and delivered cost efficiency.
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Edgematics – Transforming Data into Trusted Business Outcomes