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Data Science Consulting Services

Data Science Consulting Services

Improve your decision-making capabilities with an Algorithmic approach to identify trends and extract patterns from data and have a measurable impact on your revenue.

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Leverage your data to build an end-to-end data-driven Machine learning model to improve the speed and accuracy of your processes. We have delivered cutting-edge data and advanced analytics solutions to help organizations stay at the forefront of innovation.

Our subject matter experts bring deep knowledge to deliver Key Advanced Analytics implementations like Sales Forecasting, Market-Basket analysis, Customer Segmentation, Fraud Detection, Price Variability analysis, and Churn analysis.

Our Data Science Service Offerings

Data Preparation & Visualization
Data Preparation & Visualization

We help organizations with data cleansing, preparation, mining, and analysis using machine learning algorithms to further transform your data into visually-appealing dashboards Through data visualization, we bring your data to life and enable smart decision-making.

Data Science Consulting
Data Science Consulting

Our data science consulting services help businesses reduce their time-to-market by using machine learning algorithms and predictive modeling to better communicate with customers. We analyze your existing data workflows to establish a data-driven strategy and facilitate informed decision-making.

Data Science Solutions Development
Data Science Solutions Development

Our team of professionals has extensive experience in building end-to-end data science solutions to cater to unique business needs. We leverage machine learning and artificial intelligence technologies to optimize data strategy and improve customer experience.

Predictive Analytics
Predictive Analytics

Machine learning, data science, and advanced analytics are the core ways to create predictive models. Our experienced developers work with your team to improve forecasting, optimize data and enhance customer experience.

Major Business Challenges Faced by Data Scientists

We adopt AI-driven data science technologies to analyze your existing business system and address these challenges with a tailored approach.

Multiple data sources lead to errors and unreliable decision-making
Security and compliance issues resulting in restricted data accessibility
Unable to measure business impact due to undefined KPIs and Metrics
Inefficiency in stakeholder communication
Integration of multiple systems in a coherent unit
Lack of expertise to identify optimal technologies

Use Cases of Data Science Solutions

Operational Efficiency

Operational Efficiency

Lead with data-driven transformation to support companies find patterns and increase efficiencies with root-cause analysis, automatic recognition. Flagging, etc.

Supply Chain Analytics

Supply Chain Analytics

With predictive modeling, improve revenue forecasting and sales forecasting to improve supplier selection and process quality prediction; and help with predictive pricing

Demand Forecasting

Demand Forecasting

Leverage advanced statistical algorithms to look at historic customer data and economic factors for demand forecasting and successful business planning & decision making

Identify Business Opportunities

Identify Business Opportunities

Use techniques like Classification and Clustering to reinvent or identify new product & service offerings to scale business to meet changing demand and priorities

Why Choose Polestar Solutions as Your Data Science Services Partner?

Explore Advanced Analytics & Data Science Resources

Frequently Asked Questions

Absolutely no prerequisites are required. We start our consultation with a detailed Data Discovery workshop to assess all your data needs and provide Advanced Analytics Solutions. We will always be in contact with you throughout to give personalized services.

Advanced analytics is the umbrella term that refers to the high-level techniques, algorithms, and tools that can help you get the maximum benefit from your data. You can forecast events and trends, perform semantic & graph analysis, cluster analysis, multivariate analysis, simulation, neural networks and so much more.

With advanced analytics, you can understand customer preferences, compare your past sales, understand trends, reduce wastage, manage inventory, plan workforce, etc. much more effectively.

Any organization that is looking to bring insights & outcomes from your big data, can have a data science project implementation. With Data science businesses can not only make strategic decisions but also optimize their resources for the same. The project can be about descriptive, diagnostic, predictive, and prescriptive analytics or for use cases like NLP, Sentiment Analytics, Trade Promotion Analytics, Customer Analytics, etc.

Advanced analytics is a broad term that includes Machine Learning, Artificial Intelligence, Data Mining, Sentiment Analysis, Network Analysis, and so much more. Artificial Intelligence is a part of Advanced analytics, which is used when you want a machine’s capability to produce rational behavior. Some examples of AI include Voice Assistants, search prediction, etc.

Our range of services includes Descriptive, Diagnostic, Predictive, Prescriptive, Cognitive, and Deep Analytics to help you find hidden patterns in the massive amounts of data generated by your organizations.

With our data discovery workshop, we perform a detailed analysis of your existing data, technologies, and data maturity situation in detail, after which we give the timeline for your advanced analytics project. This would depend on all the details we take from you and the scope of your project requirements, the team required by you, chosen technologies and platforms, and the complexity of the project combined with the data availability for the same.

One of the major challenges for the implementation of a data science project is the quality of data. For some organizations, cleaning and preparation of data to improve its quality is a challenge. Other challenges include: Handling multiple data sources of various data types, transitioning to the cloud, disconnected communication between technical and business users, etc.

Data Science and Advanced analytics projects are inherently complex because it requires knowledge of algorithms, tools, methodologies, and extensive expertise. Most organizations lack the in-house expertise to do this.

Outsourcing data science projects gives you access to top talent, specialized tools, the scope for scalability & to fast-track in-house analytics, maintenance of data sanctity and security, and professional data management.

Get started On Your Data Journey with Data Science Services

Why Partner with Polestar Solutions for your Data Science Implementations?
  • A pool of 400+ BI consultants, developers, and architects

  • A repeat business ratio of well over 90% for BI Clients

  • Successful delivery of 1000+ BI projects for Fortune 500 & 1000 enterprises

  • Partner of choice for technology OEMs like Microsoft, Qlik, Alteryx & Tableau

  • ISO 9001 certified gives a hallmark to the quality of BI services and solutions

  • ISO 27001 accreditation denoting your data is completely secure with us

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Discovery Workshop
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