Your Success Partner
Big Data & Advanced Analytics

DataSherpa is a Big Data & Advanced Analytics company that helps businesses of all sizes to manage data, gather insights and take decisions that drive success, growth and competitive advantages.

How we work

From start to finish - We help customers from inception to go live and assist in the entire big data analytics journey from requirements, strategy, design, plan, build, operationalize, monitor, and optimize data processing systems as well as machine learning models. We bring deep knowledge and expertise in latest technologies for Big Data, Machine Learning, AI, and Cloud. So that you can realize your objectives faster and cost effectively. Your success with big data analytics is our goal.

Strategy and Architecture

DataSherpa collaborates with businesses to define right data driven strategies aligned with business needs and enable them to generate actionable insights.

  • Data Driven: Inculcate culture to leverage data from various sources.
  • Actionable Insights: Co-relate and find meaningful patterns from data.
  • Decision Making: Fact based decision making to achieve business goals.
  • Scalable Architecture: Futuristic architectures with cutting edge technologies.
  • Long Term Success: Sustainable Big Data Analytics adoption and success path.
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Strategy and Architecture

Consulting and Project Planning

DataSherpa helps organizations to optimally and effectively solve hard pressing business problems.

  • Business Requirements: Analyze and fine tune business, technical requirements.
  • Efficient Solutions: Evaluate multiple approaches and recommend best solution.
  • Right Technologies: Choose best suitable technologies to implement the solution.
  • Road Map: Prepare short and long term road map to achieve target results.
  • Project Planning: Plan, schedule, track, execute, and achieve milestones.
  • Value Generation: Incremental value generation with measurable outcomes.
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Consulting and Project Planning

Design and Development

DataSherpa partners with customers to build cost effective, efficient Big Data Analytics products and solutions.

  • Design Specification: High performant, scalable, effectual design.
  • Agile Development: Incremental and iterative software development.
  • Quality Orientation: Conscious efforts on highest quality software.
  • Value for Money: Cost effective and high return on investment.
  • Healthy collaboration: Win-win relationship with trust & integrity.
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Design and Development

Our Solutions

DataSherpa works with clients on scenario analysis, architecture, data collection, preparation, cleansing, exploratory analysis, building models, predicting outcome, optimizing analytics results, and leveraging scalable cloud infrastructure.

Manage high volume data generated from various sources and in different formats by collecting, transforming, and storing it efficiently.

  • Real time and batch data processing.
  • Managing structured, semi-structured, unstructured data.
  • Big Data ecosystem components like Hadoop, Spark, Flink, Storm, Kafka, Sqoop, Elasticsearch.
  • Storage and retrieval of data with NoSQL databases like MongoDB, Cassandra, HBase.

Migrate from legacy systems to Big Data platform for scalability, faster execution, and supporting new use cases.

  • Planning and estimation for incremental migration.
  • Selection of target storage and processing technologies and formats.
  • Migration without affecting on customer or production systems.
  • Perform functional and performance validations after migration.

Capture and maintain vast amount of data in data lake and leverage it for making better business decisions.

  • Evaluation for need of data lake, what to ingest, how to store, and who will consume data.
  • Extensible architecture for data sources and consumers.
  • Multi dimensional data view by combining and curating data.
  • Easy data discovery and better data governance.
  • Value creation by self service processing and analytics.

Leverage machine learning (AI) technologies to gather insights from available data.

  • Business domain understanding, data collection, cleansing, preparation, model building and fine tuning, deployment in production.
  • Scalable and extraordinary machine learning computations with Spark ML, MLlib, FlinkML, Mahout.
  • Advanced Analytics like Recommender Systems, Predictive Analytics using machine learning.
  • Statistical Computing and Analysis using R, Python, Scala, Java.
  • Stream data analytics: Kafka, Spark Streaming, Storm, Flink.

Develop scalable, secure, highly available solutions using cloud based data management and analytics platforms.

  • Google Cloud Platform: Leverage Cloud ML, Auto ML, Tensorflow, AI Platform and APIs.
  • Amazon Machine Learning: Amazon Web Services to build predictive models & smart applications.
  • Microsoft Azure ML: Managed services to easily build, deploy and share predictive applications.

Who uses DataSherpa

Being cutting edge technology driven company, DataSherpa works across business domains and collaborates to build innovative products and solutions.

Banking & Financial Services

  • Real time data processing and analytics
  • Fraud detection
  • Credit Risk Assessment
  • Customer Churn
  • Auto loan approval
  • Anti-money laundering
  • Compliance management

Marketing & Sales

  • 360° view of customer
  • Customer segmentation
  • Customer lifetime value prediction
  • Promotions
  • Customer retention

Ecommerce & Retail

  • Customer behavior analytics
  • Recommendations
  • Price optimization
  • Personalization
  • Predict customer demand

Data Center

  • Improve operational efficiency
  • Service performance
  • Resource planning and optimization
  • System monitoring

Healthcare & Pharmaceuticals

  • Real time patient monitoring
  • Improve patient care
  • Drug trials and error reduction
  • Improve clinical effectiveness
  • Use gnomic and healthcare data

IoT (Internet of Things)

  • IoT Data Analytics
  • Smart Water management
  • Smart Transportation
  • Manufacturing efficiency and effectiveness


DataSherpa has partnered with leading Big Data Analytics platforms and Cloud service provides.