CoreLogic cuts platform costs by 5X
CoreLogic cut platform costs by 5X after migrating its on-premises RPA platform to Microsoft Power Automate, as part of a Cognizant client engagement.
Overview
CoreLogic cut platform costs by 5X after migrating its on-premises RPA platform to Microsoft Power Automate, as part of a Cognizant client engagement.
This entry has 13 published fields tied to exact passages in an immutable source capture.
Inspect the highlighted sourceThe challenge
CoreLogic's existing on-premises RPA platform underwent a significant change in its licensing approach, creating a challenging migration path to unlock new cloud-based features. With a hard target deadline to avoid significant license fees, CoreLogic needed a technology partner to select a new cloud-based platform and execute a rapid migration.
The solution
CoreLogic and Cognizant, its trusted automation delivery partner and awarded Microsoft Intelligent Automation Partner of the Year, identified Microsoft Power Automate as the migration target, carefully mapping all automation processes and designing a new implementation covering all requirements within a tight six-month delivery window. In total, 16 automations were migrated, with Australian infrastructure established on Microsoft Azure and new central RPA reporting implemented as a Power BI dashboard.
Reported business value
Cognizant delivered the 16 required processes during a six-month migration, meeting the hard target deadline and avoiding additional license fees, achieving 100% accuracy in all rewritten code alongside a 5x reduction in platform costs. CoreLogic has set a goal of creating 100,000 hours of additional capacity this year through further automation and AI.
Sources
Open any source and check the claim yourself — that is the point of the register.
This record was researched and written with AI assistance, and its claims were checked against the sources above. (EU AI Act art. 50 transparency notice.)
Other technology & software entries in the register.
HP crafts marketing campaigns that resonate with customers using Databricks and Uniphore
HP centralized first-party customer data on the Databricks Data + AI Platform with Delta Lake and Unity Catalog, and connected it to Uniphore's HybridCompute for federated query pushdown, cutting campaign setup from 2 weeks to 2 hours and processing 400 million records in seconds.
Transforming Weather Forecasting with Lakeflow Jobs
AccuWeather migrated from on-premises infrastructure to Databricks and Lakeflow Jobs, working with Datadog for observability, to unify diverse weather data formats and orchestrate 4,500+ weekly jobs. Lakeflow Jobs coordinates the ingestion of multiple weather models, triggers machine learning processes that weight and blend different forecasts, and manages complex job dependencies for reinforcement training workflows used in AccuWeather's proprietary forecasting engine. AccuWeather reports 3x faster dataset development (three months to one month per dataset), a 50% reduction in unactionable alerts, and 50% cost savings on serverless job usage.
Adobe brings creativity to life with Databricks
Adobe uses the Databricks Data + AI Platform for end-to-end data management that unifies all data and AI at scale, with 20% faster performance. Databricks equips over 92 teams at Adobe to unify data from financials, sales, products, customers and employees so they can drive personalized experiences across Adobe's digital platforms with AI.
Supermetrics: Helping Marketers Redefine Efficiency with AI-Powered Data Analysis
Supermetrics, a Finland-based marketing intelligence platform serving 15,000+ customers across 132 countries, built an AI agent on Google Cloud using Vertex AI Agent Builder and the Agent Development Kit (ADK) that autonomously manages data connections, fixes pipeline errors, and analyzes campaign performance in real time, suggesting new creative options using Imagen. The agent automates the weekly marketing reporting cycle that previously took performance marketers up to four hours, reclaiming over 15 hours per month per marketer for strategy and creative testing. The system uses a central AI agent that interprets natural language requests and delegates tasks to sub-agents, and stores 'core memories' of user preferences for personalized context.
Was this helpful?
Your feedback helps us improve our use case database

