Our Services
Beam Data is a data science consulting company that helps businesses like yours solve your most challenging problems. We deliver value by providing data solutions and solutions for building data skills like no other team out there. Our clients range from small startups to large corporations.
Powerful Data.
Powerful Analysis.
Powerful Insight.
To create the most impactful and innovative products, companies need to leverage data science to get things done. Beam Data provides data strategies and implementation services that help our clients tackle their most challenging problems. Whether you’re a small startup or a multinational corporation, we’re here to help you stay competitive in today’s highly competitive market.
Data Strategy & Roadmap
We provide data strategy consulting to clients from early-stage startups to enterprises going through digital transformations.
Services include:
- Building the short/long-term data and AI roadmap
- Help build a data roadmap to meet company’s growth needs
- Help shape core data strategies that fit into the product roadmap
- Data capability assessment
- Hep assess the current data/AI capabilities and find areas of improvements
- Pinpoint the areas that data can bring real business value
- Executive team training and data team hiring strategy
- Provide executive-level AI/data literacy training
- Create the most fit hire vs build strategy
Data Infrastructure
We help our clients evaluate, plan, and build data infrastructure that is secure, robust, scalable, economic, and portal.
Services include:
- Data Infrastructure Assessment
- Help assess current data infrastructure and suggest best actions for modernization
- Cloud Data Migration Planning
- Data infrastructure tooling research and benchmarking
- Creation of the cloud migration plan
- Security and compliance check
- Data Infrastructure Implementation
- Cloud infrastructure set up (DCs, Networking, IAM, etc.)
- Data migration to the cloud (Azure, AWS, and GCP)
- Best practices in data security and protection
- Infrastructure as Code, DataOps, and Automation
Data Collection & Ingestion
We help our clients build first- and third-party data collection strategies and implement data ingestion pipelines.
Services include:
- Data collection strategy
- Help assess first- and third-party data collection needs
- Help build the CDP/CDI strategies for MarTech and the Cookieless world
- Data source research and feasibility analysis
- Data collection implementation
- Help collect data through web data APIs, web scraping, and other means
- Implement Tag Management and CDI data collection pipelines
- Create custom data connectors for data ingestion
- Help deploy lowcode connectors such as Fivetran or OS tools such as Airbyte
- Data annotation (Machine Learning)
- Help with manual data labelling on a smaller scale
- Work with 3rd-party labelling platforms to label/annotate data at scale
Data Lake/Warehouse
We specialize in modernizing enterprise data warehouse and building data lake/house for our clients
Services include:
- Data Integration Service
- Build ETL/ELT pipelines for data warehouse/lake (Spark, Snowflake, dbt, etc.)
- Big data processing using Apache Hadoop and Spark (Databricks, AWS EMR)
- Data quality governance
- Data Warehouse & Lakehouse
- Build Cloud-based Data Warehouse using the Modern Data Stack
- Architect and implement the Data Lakehouse solutions for streaming data
- Data Pipeline Orchestration
- Orchestrate and automate complex data pipelines using Airflow, Prefect, ADF
BI & Advanced Analytics
Our data analytics experience spans many industries and use cases
Services include:
- BI Dashboards
- Architecting data models for BI Analytics
- PowerBI/Looker/Tableau dashboards for business teams
- Business forecasting
- Time series forecasting for various business use cases
- Customer analytics and predictive modeling
- Customer acquisition models
- Customer segmentation
- Customer lifetime value prediction
- Predictive churn modeling for customer retention
- Retail product assortment, etc.
Machine Learning & AI
We provide full lifecycle ML services from experiment to production
Services include:
- Machine Learning & AI
- Help clients build high-level machine learning strategies
- Support clients with AI/ML Model Tuning & Optimization
- Covering the following use cases
- General Classification/Regression problems
- Natural Language Processing (Sentiment Analysis, Topic Modeling, NER, Text Summarization, etc.)
- Computer Vision (Image Classification, Object Detection, Semantic Segmentation)
- Recommender Systems (News, Product, Social)
- Fraud/Anomaly detection
- MLOps
- Help clients build MLOps strategies
- End-to-end model training, serving, deployment, and monitoring implementation
- Model deployment with different services (SageMaker, MLflow, and Kubeflow, etc.)
Let’s solve your data problems
From data roadmaps, needs assessment, to data architecture, data analysis, and machine learning, Beam Data can help our clients do quick prototyping and implement data strategies that allow them to start generating business value from data as quickly as possible.
Do you have a data challenge? Let Beam Data help you.
Contact us for a free consultation session.