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    Blog, Information, Technology

    Cloud-Service-Provider

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    Case Study Cloud Service Provider The customer is a leading cloud service provider with global offices. They recently outsourced their entire support functionality to a single outsourcing provider. The outsourcing provider sought our help in delivering a solution to the customer. The Problem Support tickets raised by millions of customers were captured using various ticketing tools like Jira, ServiceNow, Mantis, Zendesk, and others, depending on the vendor providing support services. As the customer consolidated their support functionality to a single vendor, they needed to unify the data from multiple sources to categorize issues, prioritize severity, and build knowledge bases and cloud automation tools. The Solution BIRD was deployed to integrate disparate data from multiple service providers. Numerous data quality issues were identified, and BIRD’s transformation services were effectively used to clean and unify the data, providing comprehensive ticket analysis. While the project was initially expected to take six months, BIRD enabled the development of a solution in under a month. The Results The customer successfully automated their support process, with full transparency in ticket analysis provided by BIRD. The previously complex task of consolidating tickets from multiple providers was made seamless through BIRD. Ticket classification and categorization are now handled efficiently and effectively. Download

    Automation, Blog, Logistics, Technology

    Human Resources (Chatbot Integration)

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    Case Study Human Resources (Chatbot Integration) The customer is a publicly traded company with global offices and with 70k employees. The customer is a digital transformation enabler and services company with head quarters in the USA. The Problem With 70,000+ employees spread globally, the customer faced challenges in managing HR requests, leading to higher employee attrition and dissatisfaction. The customer implemented a powerful NLP-driven chatbot (knowledge bot) to address this issue. However, they lacked the analytics component within the chatbot, which became critical for better decision-making. The Solution BIRD’s architecture was built to integrate seamlessly with third-party applications, including chatbots. APIs were exposed to authenticate and authorize users with the appropriate permissions, enabling real-time execution of NLP queries within BIRD. BIRD’s NLP capabilities were used extensively to convert English-driven questions into SQL queries, fetching real-time results for users to aid decision-making and allow further exploration through the chatbot interface. Data and visualizations were dynamically served from BIRD to the chatbot. The Results Significant cost savings due to automated analytics, reducing the need for human intervention. Real-time insights provided through the chatbot interface, enabling better decision-making for the customer. The customer was able to implement end-to-end governance into the chatbot using a powerful API-driven authentication and authorization mechanism, particularly critical for HR-related processes. Download

    Blog, Finance

    Banking

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    Case Study Banking The client is a publicly traded multinational banking and financial services corporation, recognized as a leading bank in their region, providing best-in-class solutions to its customers.   The Problem The bank uses multiple big data platforms to store their transactional data, which amounts to terabytes. The challenge the team faced was querying this vast data, as it took an extended amount of time to retrieve the necessary results. The team, part of the MIS department, handles numerous ad-hoc requests from business teams on an hourly basis, and they required faster query results with data visualizations. The bank’s data was stored across different systems, including HIVE, S3, and Impala, and they needed to mash up the data from these sources using a single query. The Solution BIRD provided a solution to reduce query times and ease the load on their big data servers. Using BIRD’s columnar database, the bank was able to process millions of data points in seconds, with visualizations layered on top. Additionally, BIRD facilitated data mash-ups from the HIVE, S3, and Impala source connectors. The Results The turnaround time between the IT and business teams was significantly reduced. The solution required less IT infrastructure, resulting in cost savings for the customer. The bank gained the ability to mash up data from multiple sources on the fly. The customer appreciated the usability of BIRD’s solution compared to some of their existing tools. Download

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