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AI Data Analytics Services

AI Analytics Services

Take on AI Analytics for accelerating business decisions across your entire data lifecycle

Empowering success with increased AI and Analytics adoption

79%

Have tested POCs and are looking to scale them or have already enabled AI in operations [ 1 ]

92%

of companies say they are achieving returns on their data and AI investments [ 2 ]

2 in 3

companies are currently or planning to apply AI to address their sustainability goals. [ 3 ]

Polestar + AI = Solving your Data Puzzle
Data Puzzle

More than just algorithms, we bring data and business teams together in the era of Generative AI with strong data foundation for all your data needs.

Data Extraction and Management Data Integration Data Fabric & Data Mesh
Business Intelligence & Reporting Architecture and Infrastructure Data Governance & Culture

Our Artificial Intelligence and Data Science services

Data Analytics
Data Analytics

Transition from historical, diagnostic, and descriptive analysis to near-time and prescriptive analysis as per your organizational needs. Assess your data, build foundation, and improve performance.

Analyze your data needs
Data Visualization
Data Visualization

Why limit the power of storytelling to just numbers and charts? Create compelling informative, and engaging stories that can communicate complex ideas and reveal trends that may not be seen otherwise.

Start your Data Visualization journey
Data Science
Data Science

Combine the power of Advanced analytics processes, ML algorithms, Generative AI, Supervised and unsupervised learning, applied AI models, and more to build the best data ecosystem.

Get Data Science Services
Embedded Analytics
Embedded Analytics

Blend your intuitive reporting into your applications and offerings. Leverage APIs and SDK frameworks to increase adaptability and seamless integration and interactive collaboration.

Embed Insights into your workflow
data science challenges

Are these AI and data science challenges keeping you on your toes?

  • Reducing unintended bias
  • Developing ethical AI practices
  • Monitoring AI across cloud
  • Data Provenance
  • AI strategy issues
Get a detailed data assessment

How we do it: Our simple 4-step approach to AI & Analytics

  • Assess and Define Business Objectives
  • Data Discovery and Preparation
  • Model Development and Deployment
  • Monitor, Evaluate, and Iterate

Gain a comprehensive understanding of your organization's objectives, challenges, and areas of focus. Then identify specific areas where implementation of AI and analytics can deliver significant value.

  • Detailed assessment, workshops, discussions, and consultations with key stakeholders to align objectives
  • Identify critical challenges and opportunities with comprehensive analysis

Identifying and gathering relevant data sources that are essential for processes and ensuring organized and transformed data for accuracy and consistency.

  • Thorough data audit to identify the necessary data sources for data collection and integration processes
  • Data preprocessing, cleansing, and transformation to ensure data quality

Develop, train, and validate models using suitable machine learning, deep learning, or statistical methods through iterative processes

  • Identify the most suitable AI techniques based on the specific goals and data characteristics
  • Implement the models into operational environments to enable real-time decision-making

Continuously monitor the performance of your implemented AI and analytics solutions & establish comprehensive monitoring mechanisms.

  • Evaluate model effectiveness and impact on predefined KPIs and desired outcomes
  • Identify areas for improvement and optimization, such as refining models or incorporating new data sources

Technology Partners for seamless AI analytics

We are partners with many technologies that give us the capability to work on artificial intelligence and analytics solutions. This enables us to provide end-to-end

  • Data Science adoption and implementation
  • Data Visualization implementation
  • Detailed Analytics assessments
  • Create strong Data Architecture
  • Embed powerful analytics into workflows and more.

Client Success Stories

Airport Concessionaire Optimizes
Airport Concessionaire Optimizes Data Management With QlikView

For our extra-ordinary implementation effort and extensive support - Polestar was awarded the Best vendor by the group.

The QlikView implementation provided has been so effective that they are contemplating extending it to other functions like Aero, Cargo, SPG & Operations.

  • 3X

    User adoption

  • 98%

    improvement in system performance

  • 2.4M

    Overall saving in operational expense

Explore Case Study
HCL Infosystem Revolutionizes
HCL Infosystem Revolutionizes the Decision Making Process with Qlik Sense

HCL Infosystems is one of India's premier IT Services, Distribution and Digital Solutions Company providing the choice of multi-brand technology products and best-in-class IT services

  • 240

    Man-months of Savings by Automating Data Prep

  • $0.5M

    increase in pipeline value due to visibility into lost sales

  • 80%

    of staff accessed the operational systems on their Mobile devices now - Enhanced usability

Explore Case Study
mplementation of enterprise-wide analytics and BI platform for better decision-making
Implementation of enterprise-wide analytics and BI platform for better decision-making

Improved operations right from manufacturing and procurement budget planning to setting up effective sales targeting and planning. Brought better control into tracking and reporting that lacked otherwise.

  • 10+

    Key Modules developed

  • Workshops

    Conducted for assessments

  • Decreased

    Manufacturing costs and planning times

Explore Case Study

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