Data Privacy & Governance

Enterprise Data Governance Solutions

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INTRODUCTION

A modern approach to Data Governance Solutions

The Calligo Governance Team is an experienced and diverse group that ensures adherence to global data protection laws while supporting clients’ goals. Our experts act as internal data governance advisors, representatives of data subjects, and liaisons with relevant parties.

We have put data governance, security, and privacy at the forefront of our data services for over 10 years. Our public cloud platform, CloudCore, guarantees data residency, and we launched the world’s first data privacy managed service before GDPR. Data governance, security, and privacy are central to our data services capabilities.

How our Data Governance Solutions work

01
GAP Analysis

The Privacy Team conducts a GDPR GAP Analysis to assess a business’s maturity in eight key areas including privacy governance, personal information management, and incident management. The analysis identifies potential risks and non-conformances with GDPR.

02
Alignment Service

The Alignment Service takes recommendations from the GDPR GAP Analysis and creates a mobilization plan to reduce risk exposure. It enables progressing maturity levels and demonstrating adherence to current laws and regulations, with a focus on high-priority areas of the privacy program.

The benefits of a dedicated Data Governance practice

Data vision
What are your overall objectives and what do you need from your data to support them?

Data quality metrics
What does ‘good’ or ‘bad’ data mean to your organization? How does bad data affect your aspirations for data analytics or data science?
Data security
What processes and technology are required to continuously protect your data from external and internal threats?
Compliance standards
What national, international and industry-specific regulatory obligations do you need to ensure consistent adherence with?
Data management processes
Who owns the data and is responsible for its quality and accuracy? Who should have access to it and how is this controlled? And which data sources will serve as your single pillars of truth?
Business rules
How will your data management requirements be translated into processes for every user to understand and continuously follow?
Data architecture
Where will your data be best stored, in what formats and using what technologies?

USE CASES

How Calligo has helped businesses

Manufacturing

Calligo provides data-driven solutions to optimize manufacturing operations. Services include demand forecasting, inventory and logistics optimization, predictive maintenance, and supplier degradation analysis. Calligo integrates macro-economic shock models with company-specific data to help manufacturers make better decisions during unexpected economic shocks.

Calligo uses predictive models and time-series analysis to forecast demand and reduce inventory costs. The company also employs predictive models and survival analysis to help manufacturers reduce the risk of unplanned downtime by predicting when and how their machines will fail.

Retail

Calligo provides data-driven solutions to optimize manufacturing operations. Services include demand forecasting, inventory and logistics optimization, predictive maintenance, and supplier degradation analysis. Calligo integrates macro-economic shock models with company-specific data to help manufacturers make better decisions during unexpected economic shocks.

Calligo uses predictive models and time-series analysis to forecast demand and reduce inventory costs. The company also employs predictive models and survival analysis to help manufacturers reduce the risk of unplanned downtime by predicting when and how their machines will fail.

Healthcare

Calligo provides data solutions to optimize various aspects of healthcare operations. Its services include improving the STAR rating of healthcare providers through prescriptive solutions, using predictive models and time-series analysis to prepare for a health crisis, optimizing staff scheduling to reduce labor costs while meeting patient needs, and minimizing inpatient surgical costs while maximizing revenue. Calligo also offers solutions to improve supply chain logistics to reduce the risk of inadequate supplies and reduce patient wait time through predictive models and optimization.

Moreover, Calligo offers solutions to reduce readmission rates and improve ER admittance, which can increase revenue in shared-cost models and improve the STAR rating. These services rely on predictive models, Monte-Carlo simulations, and machine learning models to analyze data and provide actionable insights to healthcare providers. With Calligo’s advanced data solutions, healthcare providers can make informed decisions to improve patient care, reduce costs, and optimize their operations for better outcomes.

Logistics

Calligo provides transportation and logistics solutions that use predictive models, time-series analysis, Monte-Carlo simulations, and optimization to solve complex problems such as price optimization, cost predictions, and mileage optimization. These solutions help businesses maximize profit margin and reduce costs related to fuel, labor, and maintenance.

By utilizing machine learning algorithms, Calligo provides data-driven decisions that consider fuel costs, labor costs, shipping demand, and the availability of other opportunities. Predictive models and optimization are also used to minimize mileage driven and maximize profitability per truckload through mileage optimization and opportunistic loading.

Telecom

Calligo provides data-driven solutions to optimize different aspects of telecom operations such as call center staff scheduling, market penetration analysis, store location optimization, service interruption detection, and customer segmentation. The use of predictive models and optimization leads to reduced costs, increased revenue, and higher customer satisfaction.

By leveraging machine learning solutions, Calligo can efficiently meet customer needs and optimize labor as call center needs change. Understanding market penetration using predictive models and time-series analysis helps identify high-potential markets that yield the best return on investment.

Non-Profit

Calligo is a data science company that helps non-profit organizations improve their decision-making process. They use predictive models, time-series analysis, and economic modeling to forecast the value of investments and marketing impact. Their machine learning solutions use data from new markets, employee and resource data, to predict outcomes, helping organizations choose the most advantageous new markets to pursue.

Calligo also uses predictive modeling to determine the best targets for fundraising efforts, to allocate labor efficiently, and to find the most efficient routes and methods for product shipping. Finally, they use optimization, predictive models, anomaly detection, and collaborative filtering to match service providers with service recipients, reducing risk, and increasing the number of services rendered.

Financial Sector

Calligo provides machine learning solutions for the financial industry, including fraud detection, automated data extraction, customer segmentation, risk assessment, and product recommendations. Fraud detection uses clustering, anomaly detection, and time-series analysis, while OCR algorithms facilitate automated data entry. Customer segmentation uses clustering and collaborative filtering.

Risk assessment and underwriting involve predictive models and time-series analysis, while Calligo helps capture the best return on marketing investments using predictive models, A/B testing, and customer segmentation. Predictive models, collaborative filtering, and time-series analysis are also used to generate additional revenue through product recommendations and execute targeted marketing for reduced costs and increased revenue.

Talk to a Calligo specialist today