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Aidas analytics office is a full suite of data and analytics services, including deploying technology, developing insights, and building AI/ML-driven solutions to business outcomes. Our analytics service is a unique combination of business and technology, with a subscription based pay-as-you-go service model that is flexible and low on CAPEX.

technology, analytics, business

Business Analytics

Organizational data should be combined with secondary data to understand macro dynamics and guide decisions better.

Our data analytics specialists utilize statistics to find previously unidentified patterns methodically. They combine business expertise with data analysis abilities.

Without the narratives from secondary data sources, our specialists bring hindsight to corporate performance in the context of market behavior.

Analytics Technology

While you focus on operating your business, we handle your analytical technology demands. To maximize the value for the business, we contribute expertise and experience in implementing and managing technology.

Data Warehouse & Data Lake I ETL I Data Engineering I Visualization & Reporting

 

  • Architecture
    While numerous technologies are available, it takes a skilled team to select and design the most effective architecture for immediate impact before scaling up, and that’s where we come in to assist you.

 

  • DevOps 
    Accelerate the development of your analytics with our DevOps services. Our devops team uses an agile framework to manage the end-to-end creation and deployment of data and analytics artifacts, resulting in rapid business impact.

 

  • Maintenance & Support
    We constantly examine analytics platforms using tools, checklists, and alerts to ensure everything is in order. The firm receives information on time. Our objective is to develop and upgrade the platform for better performance continually.

Analytics Technology

While you focus on operating your business, we handle your analytical technology demands. To maximize the value for the business, we contribute expertise and experience in implementing and managing technology.

Data Warehouse & Data Lake I ETL I Data Engineering I Visualization & Reporting

Architecture
While numerous technologies are available, it takes a skilled team to select and design the most effective architecture for immediate impact before scaling up, and that’s where we come in to assist you.

DevOps 
Accelerate the development of your analytics with our DevOps services. Our devops team uses an agile framework to manage the end-to-end creation and deployment of data and analytics artifacts, resulting in rapid business impact.

Maintenance & Support
We constantly examine analytics platforms using tools, checklists, and alerts to ensure everything is in order. The firm receives information on time. Our objective is to develop and upgrade the platform for better performance continually.

Data Science And Machine Learning

Data science models employ computational techniques on diverse datasets, facilitating the identification of patterns.

 

Our highly skilled data scientists use AIDAS AI/ML accelerators to develop prediction models more quickly and realistically than ever, to assist sound decision making. Data engineering, feature engineering, model selection and development, deployment, monitoring, and tuning are all included in our “Data Science as a Service” approach.

 

Predict Repair and Maintenance: Classify the type of maintenance required and schedule service before it happens.

 

Avoid Re-work / Scrap Cost: Predict product quality based on operational parameters before identification.

 

Behavioral Drivers: Deploy Regressive (or) Classification algorithms to identify key drivers of business performance.

 

Improve Marketing ROI: Segment customers with the right attributes, predict and select the proper channels and promotions.

 

Customer 360: Enrich customer Intelligence with buying behavior, trend in customer perception/sentiments, predicting customer churn, and probability to cross-sell products.

Convert Sales Pipeline faster: Focus your efforts on converting deal pipeline into sales by scoring leads, deal win/loss prediction, and identifying sales drivers.

Behavior Anomaly Detection: Deploy anomaly detection algorithms to flag fraudulent transactions/claims, drops in sales or payment risks.

Data Science And Machine Learning

Data science models employ computational techniques on diverse datasets, facilitating the identification of patterns.

 

Our highly skilled data scientists use AIDAS AI/ML accelerators to develop prediction models more quickly and realistically than ever, to assist sound decision making. Data engineering, feature engineering, model selection and development, deployment, monitoring, and tuning are all included in our “Data Science as a Service” approach.

 

Predict Repair and Maintenance: Classify the type of maintenance required and schedule service before it happens.

 

Avoid Re-work / Scrap Cost: Predict product quality based on operational parameters before identification.

 

Behavioral Drivers: Deploy Regressive (or) Classification algorithms to identify key drivers of business performance.

 

Improve Marketing ROI: Segment customers with the right attributes, predict and select the proper channels and promotions.

 

Customer 360: Enrich customer Intelligence with buying behavior, trend in customer perception/sentiments, predicting customer churn, and probability to cross-sell products.

Convert Sales Pipeline faster: Focus your efforts on converting deal pipeline into sales by scoring leads, deal win/loss prediction, and identifying sales drivers.

Behavior Anomaly Detection: Deploy anomaly detection algorithms to flag fraudulent transactions/claims, drops in sales or payment risks.

Take the lead in making data-driven decisions to propel your organization while we take care of the challenging aspects of data management

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