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IT Services

Case Study IT Services The client is a public listed IT services management company, with customers in North America, Europe, Asia, and Australia. Revenues close to half-abillion dollars (USD). The Problem The client has a sales team of 300 and a project services team of over 500, utilizing multiple data sources such as SalesLogix, SAP Project Systems, and internal systems to track their sales and project-related metrics. The customer needed a common platform that could allow multiple teams to analyze their data. Their existing reporting system was slow, lacked real-time capabilities, and did not offer the flexibility required for drill-downs, summary tables, or data governance. The Solution BIRD’s solution was customized to align with the client’s organizational hierarchy stored in their SalesLogix CRM database. We created over 200 complex formulas for summary tables with drill-down functionality. Using AI-enabled metadata crawlers, the mash-up feature, and advanced self-service tools, we implemented the solution in just 3 weeks. The solution has been running successfully for over 4 years. The Results 800+ users, including the executive team, are now using BIRD, with proper data governance established. High performance was achieved, meeting customer SLAs by ensuring that any report, regardless of volume, loads in under 5 seconds. We trained a few functional team members, who were able to train all other users through a train-the-trainer program. Additionally, we provided managed services for report creation, server maintenance, and upgrades. Download

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Master-Data-Management

Case Study Master Data Management A US based technology product company, offered its highly rated MDM/PIM software to about 200+ customers spread across USA, Canada and Europe. Featured by Gartner and with significant presence in the Retail, Manufacturing, Energy and Healthcare sectors, the company rode a growth wave for about 10 years. The Problem The company needed a solution to quickly offer analytics on top of their product offerings. Their key requirements included: Flexibility: The solution had to cater to a varied client base with different needs. High Performance: Many of its customers handle large volumes of real-time data, necessitating a high-performance solution. Ease of Maintenance: The system needed to be easy to support and maintain.Additionally, the solution needed to be economically viable for both the tech company and its customers. The Solution The company chose to embed BIRD Analytics into its technology stack. With BIRD’s strong Big Data architecture, full-stack platform capabilities, and the ability to process thousands of columns of data, the company transitioned to the new solution in just a few weeks. The integrated solution—retaining the tech company’s branding—addressed all customer needs, from data preparation and visualization to real-time advanced analytics using ML models. The Results The combined offering immediately added value to the company’s existing customers. The company was able to sign new deals thanks to the enhanced solution. The integration process was seamless due to BIRD’s scalable, cloud-native architecture. The company also appreciated BIRD’s flexibility in adapting to their specific requirements and customizations. Download

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IoT

Case Study Internet of Things (IoT) The customer is funded by World Bank for a river cleanup initiative, by measuring air and water quality through IoT sensors deployed from the source of the river to the end. The ProblemThe customer deployed 1800+ sensors across a river’s origin to destination, to constantly measure air and water quality and had to upload data across various systems through webservices and in the process had to comply with World Bank norms for release of funds on an ongoing basis. The customer had to push the data from sensors in real-time basis (streams) to a centralized location for furtherprocessing. As the speed of data captured increased, customer faced multiple issues with their existing system and was looking for alternatives. The Solution • BIRD’s columnar store database is used, which can house millions of records with hundreds of columns, to ensure high data ingestion happens with proper queueing mechanism, so that there is no loss of data at any point in time• A multi-instance messaging/queueing solution is configured part of BIRD, is deployed, that is capable of ingesting 10000 messages per second of data generated from IoT devices• A landing dashboard and multiple dynamic reports were developed part of the solution to access sensor stations in real-time. The Results • A security driven common landing page was developed, for all users based on access given by administrator – which solved the problem of customer giving access to various vendors that were part of the sensor maintenance• Easy navigation from landing dashboard to individual station dynamic report is provided with camera zoom in/out view, helped in lot of automation• Real-time and historical reports for trend analysis is used by customer for complying to World Bank norms Download

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Cloud-Service-Provider

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

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