Groundswell provides project and delivery management, technology advisory and managed services to our customers. What sets Groundswell apart in an industry where projects often fail and services underperform is our rock-solid delivery. We deliver price certainty, predictable outcomes, and high definition service reporting, earning the right to be called “Trusted Advisors” by our customers.
Insights need to be actioned to deliver value. Our customers are realizing the benefits of insight through Automation and Integration. Enabling and embedding real-time interactions requires a complex combination of technologies and participants. Groundswell provides a suite of Integration and Automation Services including API, Microservices, ESB, BPM, and RPA.
Groundswell has a comprehensive framework to develop application-centric Integration and Automation roadmaps. We have used and refined our approach across multiple organizations. Our framework is based on a multi-consultant engagement model and industry-standard best practices, maturity models and lifecycles including SIM, SOA, BPM, API, and DAMA. We bring citizen-driven paradigms to traditional problems, leveraging new platforms to challenge the complexities and rigidity of ESB's and BPM solutions.
Groundswell offers a full suite of analytics services spanning from Enterprise and Self-Service Reporting to Big Data and Machine Learning solutions.
Organizations are realizing the monetary and strategic value of data, yet many still struggle with integrating systems, extracting meaningful insights from their data, and developing the necessary skills. We’re changing all that, by supplying our clients with the knowledge and expertise to help make their data a corporate asset.
We support our clients’ journeys from data-driven to insights-driven business models. Transforming data into insight requires the right combinations of people, processes, technology, engagement models and agile delivery. We bring big-data paradigms to traditional problems, leveraging new platforms to challenge the complexities of data warehouses and pipelines.