Kyndryl, New York City, New York, USA: Artificial Intelligence (AI) & Analytics Hub TEAM

Essay of up to 650 words

1,39 million HW assets 

2,7 million Data Elements to be maintained 

7 million SW Licenses 

23 million SW Components installed 

3500+ Customers 

146 Countries 

Can you manage this many data? At Kyndryl, we can, and we do. Managing enormous amounts of data is always a challenge, especially when the data is spread in diverse sources and this is the reality of many organizations, including Kyndryl. On top of that, there are several Data Privacy policies and contractual obligations that must be ensured when making data available to different people and organizations within the company.  

Kyndryl IT team solved this issue co-creating with Business and integrating different technologies to develop a robust “One stop shop” for data and insights. Experient Data Engineers, Data Scientists, Solution Architect and Business Consultants worked together to create the AI (Artificial Intelligence) & Analytics Hub, developed in Python, using BigSQL and hosted on Cloud, the AI & Analytics Hub consolidates, normalize, and analyzes data from different data sources, providing different views to different personas. A strong data model combines organizational, customer and contract information to ensure restricted data is only available to those who really has necessity to see the data, complying with contractual obligations. 

In addition to different views to support operational control and insights with data, the Hub also hosts several reports, some more generical, embedded within the visualizations and some more specific developed in Cognos. To ensure a correct analysis of the numbers, all charts have the entire data universe selected, but only authorized people can see the detailed reports. 

This is also integrated with Azure DevOps, creating a ticketing system that allows users to directly communicate issues to the application support team, streamlining the communication and resolving issues faster. The integration with MS Planner allows some data models to send alerts to operational squads, helping to prioritize their work and ensuring satisfactory KPIs (Key performance indicators) achievement. This analysis is also done with Python though different Data Science Models that perform continuous analysis for timely insights.  

This is a splendid example that the right combination of Business Acumen, Data Professionals and Technologies can overcome Big Challenges and Create Efficient Operations. 

Total 150 words used.

• +300 Reports consolidated within 1 place, saving over 2000 hours per month of Kyndryl employees
• Management Dashboard for main KPIs review provides updated data at any time, allowing employees to focus in their primarily job, saving 600+ hours per month to consolidate and prepare World Wide Metrics.
• Removal of 46% required approvals for Asset Acquisition driving 36% of cycle time improvement from December 2021 until March 2022.
• Modernized reporting platform EAM HUB 2.0, and deployed more than 20 Releases.
• Team has developed integration of Access Control and Approval module whin EAM HUB 2.0, furthering integration with Contractual rule to govern with privacy needs.
• End-user hassle-free support by creating automated flow between Collaboration Platform (Slack) and ticketing platform (Azure DevOps), which expedited response time.
• Team is also contributing in transformation journey by acquiring needed skills, and already completed 500+ hours of Learning in this year and Acclaimed Cloud Certifications.