From project evaluation and design, to finished dashboards powered by custom algorithms, Blue Orange knows how to unlock the value in your data.
Talent Analytics
Bias Removal
Interviewers are rife with bias. Using Natural Language Processing, we can normalize free text interview notes to reduce human bias.
Candidate Recommendation Engines
Machine Learning is excellent at identifying patterns. A great candidate is a combination of skills and traits that a machine can score and rank.
Resume Scoring
Due to non-standardization, resumes are difficult to group appropriately. AI can interpret data in context and can process and structure it as a human would.
Resume Data Extraction
Advanced Computer Vision has made accurate resume data extraction better and cheaper than ever.
Profile Enrichment
When assessing a candidate, the more data the better. Unifying different datasets is a fundamental problem that has been nearly solved by machine learning.
Healthcare
Risk scoring and Stratification
A risk score is a standardized metric for the likelihood an individual will experience a particular outcome. AI can model the likelihood of illness or disease occurrences.
Diagnosis Prediction
With robust public data, machine learning can aid in confirming the likelihood of diagnoses.
Pricing/Cost analysis
Precision drug and treatment pricing require many variables be considered. Data Science can incorporate a wide range of dynamic variables to provide a precise market snapshot.
Data Integrity and Enrichment
High-quality diagnoses are rooted in high-quality information. Data enrichment and cleaning are fundamental to predictive insights and analytics.
EHR Analytics
EHR data can be limiting analytically. HIPPA compliant modern data architecture is a requirement to unlock advanced analytics and value in health records.
Case Study
E-commerce
Product Recommendation Engines
Showing customers related products boosts add-on sales. Machine Learning can find and optimize recommendation products.
Dynamic Pricing
In e-commerce, pricing equals sales. Dynamic Pricing can boost margins and increase conversions with data-driven price adjustments.
Merchandising Classification
Accurate grouping is a requisite for an optimized e-marketplace. Natural Language Processing and Machine Learning can create high-quality matches even from dirty or non-standard data.
Customer Behavioral Analytics
E-commerce is rife with customer data. Understanding how to utilize and enrich this data requires advanced analytics.
Fulfillment Optimization
Shipping and fulfillment are the hardest and most costly parts of online sales. AI can identify inefficiencies and optimize for cost savings.
Big Data
Infrastructure &
Pipelines Advanced data analysis requires modern data infrastructure. We build cutting edge data warehousing to support sophisticated analysis. Learn More
Integration
& App
Development Advanced analytics are useless without integration. We build real-time connections between our analytic environment and business-friendly interfaces. QuickSight, Tableau, custom dashboards and more. Learn More
Data Science
& Analytics We help discover the value in your data to simplify tough business problems. We simplify data access and apply complex data solutions on all types of datasets. Learn More
