Finance

Analysts, traders, and computer scientists have been looking at more advanced ways to make and save money for decades. The industry itself is prime for machine learning, as it has immense historical records, large data sets, and a quantifiable method of measuring results. Algoriom's Finance Analytics is a comprehensive product addressing BI & Analytics needs of the finance function of any organization. Our Finance Analytics services are role-based and meet decision support needs across levels in a finance function, from CFO to entry-level. Whether we're helping modernize core banking operations, turn a mobile banking experience into a social one, or reinvent payment and credit models, our services empower clients with data-driven insights and the right tools to adopt a mindset fit for today's—and tomorrow's—digital landscape.

Data Science in Finance

  • Strategy Analytics
  • Customer Analytics
  • Charge-back modelling
  • Settlement Trading
  • Market Research
  • Digital Consumer banking
  • Fraud Detection and Identity and Verification

Model

Data

  • Data acquisition
  • Data Lake Platform
  • Big Data Analytics
  • CRISP-DM
  • Data Privacy and Governance
  • Dashboarding
  • Robotic Process Automation
  • Reporting

Interface

Data Science in Finance

Model

  • Strategy Analytics
  • Customer Analytics
  • Charge-back modelling
  • Settlement Trading
  • Market Research
  • Digital Consumer banking
  • Fraud Detection and Identity and Verification

Data

  • Data acquisition
  • Data Lake Platform
  • Big Data Analytics
  • CRISP-DM
  • Data Privacy and Governance

Interface

  • Dashboarding
  • Robotic Process Automation
  • Reporting

Insurance

As the insurance industry is disrupted, digital insurers are harnessing the power of technology and seizing new opportunities. Our insurance consulting services are using AI, cloud and other transformative technologies to help P&C insurers, life carriers, and reinsurers improve their core operations, develop new sources of revenue growth, and pivot successfully to 'the new'. Algoriom's Insurance Analytics is a comprehensive solution addressing enterprise-wide BI & Analytics needs of insurance businesses, both life, and non-life. The solution is role-based and meets needs for business insights across levels in every department of an Insurance company. Our solution comes with a rapid delivery promise made possible due to our pre-built life and non-life data models, extractors, KPIs, dashboards, reports, queries. In short, we are helping equip our clients to thrive in a much more dynamic future.

Data Science in Insurance

  • Strategy Analytics
  • Customer Analytics
  • Charge-back modelling
  • Settlement Trading
  • Market Research
  • Digital Consumer banking
  • Fraud Detection and Identity and Verification

Model

Data

  • Data acquisition
  • Data Lake Platform
  • Big Data Analytics
  • CRISP-DM
  • Data Privacy and Governance
  • Dashboarding
  • Robotic Process Automation
  • Reporting

Interface

Data Science in Insurance

Model

  • Strategy Analytics
  • Customer Analytics
  • Charge-back modelling
  • Settlement Trading
  • Market Research
  • Digital Consumer banking
  • Fraud Detection and Identity and Verification

Data

  • Data acquisition
  • Data Lake Platform
  • Big Data Analytics
  • CRISP-DM
  • Data Privacy and Governance

Interface

  • Dashboarding
  • Robotic Process Automation
  • Reporting

Retail & Ecommerce

The strides in e-commerce represent an entire paradigm shift in retail. Despite only making up around 10% of all retail purchases, e-commerce accounts for more than $2 trillion dollars in sales. Mapping the interactions between offline and online worlds seems like an arduous task, but when we focus on each customer and their purchasing habits, it can be easily broken up into a few different paths. We can help or retail clients identify the most profitable customer segments and build their marketing machine around them.

Data Science in Retail & Ecommerce

  • Targeted Advertisements
  • Social media analytics
  • Robot Assisted Inventory Management
  • Recommendation systems
  • Pricing models
  • Forecasting
  • Customer retention and churn analysis
  • Sentiment Analytics & Behavioral segmentation
  • Trend discovery

Model

Data

  • Data acquisition
  • Data validation
  • Competition monitoring
  • Big Data Analytics
  • Data Visualization
  • Dashboarding
  • Marketing

Interface

Data Science in Retail & Ecommerce

Model

  • Targeted Advertisements
  • Social media analytics
  • Robot Assisted Inventory Management
  • Recommendation systems
  • Pricing models
  • Forecasting
  • Customer retention and churn analysis
  • Sentiment Analytics & Behavioral segmentation
  • Trend discovery

Data

  • Data acquisition
  • Data validation
  • Competition monitoring
  • Big Data Analytics

Interface

  • Data Visualization
  • Dashboarding
  • Marketing

Healthcare

The rise in data, processing power, and algorithms have made AI, or more specifically machine learning, useful for more than theory. In the US, Electronic Health Record (EHR) adoption is over 80%, and Europe is catching up. This adoption, in combination with increased standardization, has made it easier to take advantage of gathered data. We can help you speed up the time it takes to develop a new drug and help diagnose patients at faster and more accurate rates.

Data Science in Healthcare

  • Disease detection
  • Sentiment analysis
  • Personalized medicine
  • Market research
  • Efficient Manufacturing techniques
  • Simulated Drug Trials
  • Image Recognition

Model

Data

  • Data acquisition
  • Data Lake Platform
  • Big Data Analytics
  • CRISP-DM
  • Data Privacy and Governance
  • Dashboarding
  • Simulated Environments
  • Data Visualization

Interface

Data Science in Healthcare

Model

  • Disease detection
  • Sentiment analysis
  • Personalized medicine
  • Market research
  • Efficient Manufacturing techniques
  • Simulated Drug Trials
  • Image Recognition

Data

  • Data acquisition
  • Data Lake Platform
  • Big Data Analytics
  • CRISP-DM
  • Data Privacy and Governance

Interface

  • Dashboarding
  • Simulated Environments
  • Data Visualization

Energy

Seizing the potential of big data is essential in today’s energy environment. Analytics can unlock the promise of big data, bringing to light new analytic insights at all stages of the industry value. While analytics powers performance for better business outcomes in the energy industry, challenges such as poor data quality and integration, fragmented use of analytics and patchy ownership of data across processes have created a “missing middle” for energy companies. With extensive energy industry experience, our consultants enable oil and gas companies to turn digital disruptions into solutions for competitive advantage.

Data Science in Healthcare

  • Smartgrid management
  • Energy efficiency
  • Demand Response
  • Alternate energy investments
  • Solar energy Forecasting
  • Hybrid Energy Systems Modelling

Model

Data

  • Wind turbine operation data acquisition
  • Solar panel sensor data acquisition
  • Data Lake Platform
  • Big Data Analytics
  • CRISP-DM
  • Dashboarding
  • Simulated Environments
  • Data Visualization

Interface

Data Science in Healthcare

Model

  • Smartgrid management
  • Energy efficiency
  • Demand Response
  • Alternate energy investments
  • Solar energy Forecasting
  • Hybrid Energy Systems Modelling

Data

  • Wind turbine operation data acquisition
  • Solar panel sensor data acquisition
  • Data Lake Platform
  • Big Data Analytics
  • CRISP-DM

Interface

  • Dashboarding
  • Simulated Environments
  • Data Visualization

Logistics & Transportation

Across land, sea and skies, waves of digital disruption are redefining Freight and Logistics. The global merchandise trade is expected to increase by 4 percent in 2019* but more fundamental changes, like industry consolidation, increased supply chain complexity and regulatory changes are reshaping the landscape. The industry is facing increasing market volatility, with a 10-time rise in new entrants. Digital players are leveraging agile business models allowing carriers to work directly with customers, eliminating intermediaries. Algoriom can help Freight and Logistics companies to create value from process efficiencies and data-driven insights.

Data Science in Healthcare

  • Route Optimization
  • Geo-spatial data analysis
  • Market research
  • Logistics management
  • Supply chain optimization
  • Drone-assisted monitoring

Model

Data

  • Data acquisition
  • Data Lake Platform
  • Big Data Analytics
  • CRISP-DM
  • Data Privacy and Governance
  • Dashboarding
  • Simulated Environments
  • Tensorboard

Interface

Data Science in Healthcare

Model

  • Route Optimization
  • Geo-spatial data analysis
  • Market research
  • Logistics management
  • Supply chain optimization
  • Drone-assisted monitoring

Data

  • Data acquisition
  • Data Lake Platform
  • Big Data Analytics
  • CRISP-DM
  • Data Privacy and Governance

Interface

  • Dashboarding
  • Simulated Environments
  • Tensorboard