Improve data-driven processes, reduce costs

Too often, monitoring IT and application infrastructure does not provide observability and real-time insights into business key performance indicators (KPIs) and the performance of data-driven processes. Autonomous Business Operations (ABO) is an approach for business process performance monitoring and observability, provided as a service to ensure end-to-end availability of business services (see Figure 1).

Figure 1. Overview of DXC's Autonomous Business Operations (ABO) approach

The result is a custom platform — derived from your existing tooling environment — that provides a standardized monitoring tool chain for achieving an auto-healing business and IT landscape, and enabling AI led-predictive operations. 

Through a combination of dashboards, monitoring, incident creation and triage processes, DXC provides a consolidated view of business processes and related KPIs so that you see the direct impact of decisions on business performance. Our ABO approach leverages your existing investments in IT, applications and data to generate alerts, predictions and real-time insights into business process performance, increasing efficiency, quality control, and visibility into application integration with your employees' everyday work.

However you architect your infrastructure across cloud and private networks, our broad partner ecosystem means you can optimize and accelerate the modernization of your data platforms, and the business processes they power. Our partnerships, accelerators and solutions span global hyperscalers and specialized solution and industry providers: Amazon Web Services (AWS), Google Cloud Platform, IBM, Microsoft Azure, SAP, ServiceNow, Databricks, Equinix, iBase-t and Snowflake.

DXC’s Automated Data Migration Framework is a set of DXC-developed pipelines and applications that migrate the database schema, data, security roles, users and user/role mapping from a source database to a target database, performing conversions (where appropriate) and logging exceptions, where conversions are not possible. Figure 1 illustrates the migration scenarios available.

Figure 1. Migration scenarios: One framework for multiple technologies

The DXC Data Ingestion Framework (DIF) is a set of data services, accelerators and advisory modules that help you manage and control data flows to achieve more stable, adaptive, modular, cost-efficient and flawless data ingestion with faster implementation times for new data pipelines (see Figure 1). It is metadata-driven and fully configurable, managing data integration (ETL, ELT) and data processing (security, governance and DataOps advisory). It emphasizes license-free accelerators (no vendor dependency), speed of delivery and agility for business changes, leading to higher operational efficiency and flexibility and effective performance, improved DevOps and CI/CD practices, and true data governance and data quality assurance.

Figure 1. DXC Data Ingestion Framework (DIF)