Data Science

Data Science Consulting

For over 25 years, Fulcrum Analytics has been a leading provider of data science, advanced analytics, and data engineering. Our experienced team of on-shore consultants work closely with client end-users and stakeholders to provide:

  • Strategy development
  • Data assessment
  • Data augmentation, integration, and maintenance
  • Predictive modeling and statistical inference
  • Supervised deep learning with neural networks
  • Generalized linear models
  • Machine learning modeling
  • Cluster analysis
  • Principal component analysis
  • Classification models
  • Data visualization
  • Time series modeling
  • Forecasting
  • Natural Language Processing (NLP)
  • HR analytics
  • Share of wallet analysis
  • Risk analytics
  • Loss driver analysis
  • Unstructured data mining
  • Big data programming
  • Data anomaly detection
  • Management dashboards
  • Recommendation systems
  • Website analytics

We work across industries

Grocery

We help clients put valuable assets to work to improve pricing, promotion, and B2C communications to increase profitability.

Healthcare

We've achieved big wins through text mining, fraud detection models, customized dashboard reporting, and predictive analytics.

Financial Services

We've solved the toughest business problems through methods such as predictive model building and dashboard implementation.

Insurance

We dig deep into their pricing insurance policy renewals through our intuitive and collaborative app ClearGrade

Retail

We generate insights across products/promos, summarize sales and profit data, and maximize profits.

We can help by deploying our resources on a per-project basis or with a consulting team-based approach.

 

Fulcrum's Data Science Acceleration Team

Our Data Science Acceleration Team (DSAT) 2.5 is great for any business looking to ramp up their data capabilities. A DSAT 2.5 package comes equipped with a team of interchangeable specialists fitted to your needs. To optimize your engagement outcomes, a mix of data scientists, engineers, developers and the project lead will work the equivalent of two and a half full time resources. Whether you are a small startup with no data science team or a multi-billion dollar financial institution with more projects than the bandwidth you have to support, DSAT 2.5 can help move you forward.

Stopwatch

Easy and fast

Get started ASAP. Just sign up for a team and we are sitting next to you, rolling up our sleeves, and making progress.

Three human figures with arrows indicating rotation and flexibility

Customizable

We know that your needs can change — specialists swap in and out as needed for different aspects of the solution.

Sale tag with a percent symbol

Low risk

Did we mention that you can try for 3 months at a discounted rate? No obligation and you can choose to terminate at anytime.

Depiction of a computer chip with "25+" in the center

Domain expertise

25+ years of experience in banking, insurance, and retail — giving us the right mix of skill and knowledge to tackle even the toughest problems.

CPU icon

Our staff is trained in a wide range of programming languages, methodologies and frameworks including:

  • Python: Pandas, NumPy, Scikit-learn, Matplotlib, PyTorch, Keras
  • R: tidyverse, Shiny  
  • SAS: Base, EG, STAT, GRAPH, IML  
  • SQL: Hive SQL, PL/SQL, MySQL, PostgreSQL, Impala
  • Data visualization: R Shiny, Superset, Dash-Plotly
  • Distributed computing: Cloudera Hadoop,Druid, Spark, Hive, Impala, HBase, Kafka
  • Container/Virtualization: Docker, Kubernetes, OpenStack
  • Development: Agile methodology, Git, Atlassian (Bitbucket, JIRA, etc.), Jupyter, R-Studio, Unit testing,  Modular, Object Oriented design principles  
  • Web development: Flask, Django, Javascript, Bootstrap, and D3.js, API development

Recent Thoughts on Data Science

Where Does Your Company Stand Against The Competition? 7 Levels of Decision Making Reliability.
The goal of predictive analytics is to combine past and current data to obtain actionable insights. Data-driven decision making has Read more
Most Industry-Leading Organizations Struggle With Deploying Their Data Science Capabilities
During our recent industry survey of 50 of the nation's best funded institutions, we discovered that even industry-leading organizations aren't Read more
Shocking data science gaps in industry-leading organizations
In today’s business environment, companies are increasingly using advanced analytics to drive actions that are backed by data. Shocking data Read more
Assemble the system you need for cross-team automation, model selection, and reporting sophistication
When it comes to evaluating the impact of business decisions to the bottom line, there are a few common steps Read more

How we have helped clients

A startup needed to scale up their data science and engineering capabilities in short order. They used DSAT 2.5 for our deep financial industry expertise and advanced data engineering skills. We provided them with the right mix of technical and domain knowledge to rapidly accelerate their client service.

A global investment bank uses DSAT 2.5 to modernize tagging, tracking and reporting for their research portal. Also, we are creating a test and learn framework to enable more efficient experimentation and comprehensive feedback.

A retailer wanted to understand the attractiveness of their local markets and how they fared against their competitors. This retailer used DSAT to automate the generation of custom detailed reports, comprised of an (automatic) aggregation and analysis of various public data sets, and develop an interactive application allowing business users to create further customizable charts and reports.

To learn more about ways we have aided our clients with data science please check out our case studies