More than answers. Solutions.

At Corios, we believe in a comprehensive, integrated approach to the way we build, modernize and orchestrate analytics. That means building strategic, sustainable solutions that do more than answer questions, but empower clients to improve their decision making and business processes.

Our proprietary solutions are just one way that we multiply our value – helping our clients’ business’ improve performance and strengthen profitability in the long run. Our solutions represent the packaging of our intellectual property on use cases we’ve seen, tackled and tackled again. In every Corios solution, we follow our seven-step analytics process illustrated in the interactive “Get To Know Our Process” visualization above.

Step 1: Define the problem and the roadmap

Conductor: Analytics strategy and roadmaps

Identify where you are on the analytics maturity scale, evaluate how it stacks up against your competitors, and develop a roadmap for your future-state analytics platform.
Learn about Conductor →

Step 2: Build the analytic assets: predictions and forecasts

Tempo: Analytic Model Construction

Integrate analytics and production ModelOps capabilities and reduce cycle time—to accelerate your analytic model development and deployment process, and realize their full economic potential.
Learn about Tempo →

Lightning: Electric grid forecasting and planning

Forecast peak and hourly loads for every asset on your grid, and optimize your distribution planning to reduce costs and meet regulatory challenges.
Learn about Lightning →

Step 3: Optimize the enterprise’s response

Harmony: customer relationship analytics

Align contact strategies with customer analytics for Next Best Offers: allocating campaign resources to present the right offer to the right buyer at the right time.
Learn about Harmony →

Step 4: Deploy and execute analytics

Veloce: Transaction analytics for marketing, risk and fraud

Leverage high-density, high-velocity transactional data to detect customer events, build patterns and sequences, and predict customer interaction outcomes.
Learn about Veloce →

Forte: Portfolio optimization analytics

Forecast cash flows, optimize your portfolio for profitability and risk exposure, and reach compliance with accounting standards including CECL and IFRS17.
Learn about Forte →

Step 5: Measure the outcomes: performance and calibration

Metronome: Analytics measurement and validation

Leverage a comprehensive audit trail and reporting mechanism to measure model performance, and gain precise visibility into your model asset lifecycle.
Learn about Metronome →

Step 6: Refine and repeat: apply what we’ve learned

Legato: Analytics managed services

Employ a fully administered analytics computing environment, designed by analytics professionals, built from the ground up for the way you work, and backed by sound enterprise architecture, DevOps and ModelOps practices. This managed analytics environment, built by practitioners for practitioners, streamlines your model pipeline and validation processes, so you can invest more time creating and refining your analytics, and less time managing and manually fixing your analytic computing environment.
Learn more about Legato →

Step 7: Modernize analytics: faster, smarter, better

Rosetta: SAS Analytics Platform Modernization

Transform SAS workloads with Viya, migrate to the cloud, and integrate with open source analytics assets for cost savings and optimization. Experience the results of a methodology that leverages software and professional services to quantify the costs and value of existing SAS assets, and transforms those assets to produce higher value at lower cost.
Learn about Rosetta →