When it comes to our consulting services, Retainers AI and Analytics services combines end-to-end AI solutions with domain and industry insight to harness the power of human-machine collaboration.

Our approach to AI solutions combines strategic thinking, industry know-how, and deep AI knowledge to deliver insights that help clients realize their complex ambitions.

How do we do it:

Data Strategy and Consulting:

Collaborate with clients to develop a comprehensive data strategy aligned with their business objectives…

Data Strategy and Consulting:

  • Collaborate with clients to develop a comprehensive data strategy aligned with their business objectives.
  • Provide consulting services to identify data sources, define key performance indicators (KPIs), and establish data governance policies.

Data Warehousing and ETL (Extract, Transform, Load :

Design, implement, and manage data warehouses to consolidate and organize large volumes of structured and unstructured data for analytics purposes…

Data Warehousing and ETL (Extract, Transform, Load):

  • Design, implement, and manage data warehouses to consolidate and organize large volumes of structured and unstructured data for analytics purposes.
  • Optimize data storage and retrieval for fast and efficient querying.
  • Integrate data from diverse sources, ensuring consistency and accuracy.
  • Implement ETL processes to transform raw data into a format suitable for analysis.

Big Data Analytics:

Utilize big data technologies such as Hadoop, Spark, SQL and NoSQL databases to analyze large and complex datasets…

Big Data Analytics:

  • Utilize big data technologies such as Hadoop, Spark, SQL and NoSQL databases to analyze large and complex datasets.
  • Implementing cloud based analytics solutions as well as Databricks unified platform solutions for batch and real time data analysis.

Data Visualization:

Create interactive and intuitive data visualizations to make complex insights more accessible…

Data Visualization:

  • Create interactive and intuitive data visualizations to make complex insights more accessible.
  • Use tools like Tableau, Power BI, or custom-built dashboards to present data in a user-friendly manner.

Custom Machine Learning Models:

Design and develop custom machine learning models tailored to specific business needs…

Custom Machine Learning Models:

  • Design and develop custom machine learning models tailored to specific business needs.
  • Implement supervised and unsupervised learning algorithms based on the nature of the problem.

Predictive Analytics and Recommendation Systems:

Develop models and algorithms to predict future trends and outcomes based on historical data…

Predictive Analytics and Recommendation Systems:

  • Develop models and algorithms to predict future trends and outcomes based on historical data.
  • Implement machine learning techniques for predictive analytics.
  • Build recommendation engines for personalized content, product recommendations, and user experience optimization.

Descriptive Analytics and Prescriptive Analytics :

Analyze historical data to provide insights into past performance and trends…

Descriptive Analytics and Prescriptive Analytics :

  • Analyze historical data to provide insights into past performance and trends. Summarize and interpret data to support decision-making processes.
  • Offer recommendations and strategies based on data analysis to optimize decision-making.
  • Provide actionable insights for improving business processes.

 

Data Quality Management and Governance Strategy:

Implement processes to ensure data quality, accuracy, and consistency…

Data Quality Management and Governance Strategy:

  • Implement processes to ensure data quality, accuracy, and consistency. Provide data cleansing and enrichment services.
  • Establish a comprehensive data governance framework that defines the roles, responsibilities, and processes for managing data within the organization.
  • Conduct data profiling and quality assessments to identify and address data quality issues. Implement MDM strategies to create a single, authoritative source for key business data (e.g., customer, product, employee).
  • Define and enforce policies for the entire data lifecycle, including data creation, storage, archiving, and deletion.

Custom Analytics Solutions

Develop customized analytics solutions tailored to specific industry needs and client requirements…

Custom Analytics Solutions:

  • Develop customized analytics solutions tailored to specific industry needs and client requirements.
  • Address unique challenges through innovative analytics approaches.

Training and Education:

Provide training programs to empower client teams in using analytics tools and interpreting insights…

Training and Education:

  • Provide training programs to empower client teams in using analytics tools and interpreting insights.
  • Offer workshops and educational sessions on best practices in data analytics.