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    AI Analytics
    Get Our AI consulting services to evolve from AI interventions to AI-driven growth

    We identify, develop, manage, and implement your data, analytics, and AI/ML projects. We do it all be it AI led innovation or Gen AI powered transformation.

    AI consulting services

    Envision how to AI fits into your data or analytics modernization to support your decision making. Know what, where, and how to design AI-enabled platforms and processes

    Drive AI innovation, best practices, and cross-functional collaboration across your organization. Establish a dedicated space for all your prototypes and innovations.

    Check where you stand wrt Data Strategy, AI Infrastructure, Data,Capabilities Governance, Talent, and Culture - to take the right path towards AI

    Bring intelligent automation at scale by choosing the right projects and accelerators for scaling your analytics throughout.

    Analytics & AI experts
    Are these data & strategy challenges keeping you on your toes
    • Data Overload and integration challenges
    • Reducing unintended bias or hallucinations
    • Developing ethical AI practices
    • Demonstrating the ROI from your Analytics implementation
    Talk to Analytics & AI experts
    Key AI Enabled offerings
    xAI+ Revenue Growth Solution
    xAI+ Revenue Growth Solution

    While others scratch the surface, we dive deep. Our xAI-powered engine doesn't just process data-it dissects & associates billions of data points across your entire ecosystem, to reveal and explain hidden growth opportunities

    Check out the best RGM solution
    Gen AI Assistant: P. AI
    Gen AI Assistant: P. AI

    Get actionable insights right from your raw data. Enabled with Copilot, our Generative AI assistant (we call it P. AI) helps you summarize, compare, predict, and take action right from your MS Teams application.

    Get the best Gen AI assistant
    MDM with Code-assist
    MDM with Code-assist

    We go beyond traditional MDM, leveraging cutting-edge AI to transform how you manage, understand, and utilize your master data. With strong holistic pre-made data models get an MDM with the fastest TAT in market.

    Here's the intuitive MDM tool
    How we do it: Our simple 4-step approach to AI & Analytics

    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
    Not ready for a full scale implementation start small!

    Know where and how to start your AI journey!

    • Understand the business problems with potential for high impact
    • Measure and showcase results to build internal buy-in
    • Experiment with pre-built AI models and services
    • Gradually expand capabilities based on learnings
    Your AI Consulting journey starts here
    AI Consulting journey
    Client Success Stories
    Airport Concessionaire Optimizes Data Management With QlikView

    For our extra-ordinary implementation effort and extensive support - Polestar Analytics 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.

    Explore Case Study
    • 3X

      User adoption

    • 98%

      Improvement in system performance

    • 2.4M

      Overall saving in operational expense

    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

    Explore Case Study
    • 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

    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.

    Explore Case Study
    • 10+

      Key Modules developed

    • Workshops

      Conducted for assessments

    • Decreased

      Manufacturing costs and planning times

    FAQ

    With the advancement in AI, we can leverage analytics across:

    Structured Data: Organized data typically found in databases (e.g., spreadsheets, SQL databases).

    Unstructured Data: Non-organized data such as text documents, social media posts, images, and videos – our Gen AI-based agent also has OCR and ICR capabilities to enable better analysis of unstructured data.

    Semi-structured Data: Data that does not conform to a rigid structure but contains tags or markers (e.g., JSON or XML files).

    Real-time Data: Streaming data from IoT devices or online transactions that require immediate analysis – usually called Stream analytics.

    This versatility allows businesses to gain insights from diverse sources of information, if you’re looking for some specific use cases with drop us a message and we’ll elaborate.

    • Data maturity
    • Objective with the analytics or AI project
    • Technical Resources and expertise
    • Compliance and security considerations

    These will help us understand the level of maturity and implementation complexity that you can have.

    From building recommendation engines, sentiment analytics, custom chatbots, generative AI integration, API integrations, ML in applications, model evaluation, AI resume parsing, to text analysis – our expertise with AI and analytics is quite vast. We’ve worked on use cases for Sales, HR, Marketing, Finance, Supply chain and Operations across industries like CPG, Retail, Pharmaceuticals, Manufacturing, Technology, and more.

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    Polestar Services