Data Science, Analytics and Machine Learning
Headquartered in Massachusetts with a satellite office in New York, SP Analytics LLC works on driving insight and actionability using analytics, data science and machine learning. Our firm specializes in working with all types of data using industrial grade machine learning approaches. Starting with the client’s use case we are experts in data discovery and assembly, data exploration and visualization, predictive modeling or machine learning to deliver the final product whether it is insights or machine learning code ready for deployment. We bring deep expertise and diligence to every project and customize our approach and support to your individual needs and concerns.
Our principals have been working in analytics and data science for over two decade and started their careers when data science was in in its infancy. We are on the cutting edge of modern technology, and continue to monitor, learn and apply emerging technologies to inform our analytical approaches—all to give you exceptional products that will serve you for many years to come.
Get in touch with us to set up a consultation, or use the contact form at the bottom of this page to enquire whether our services are right for you.
Contact
➤ LOCATION
3 North Street.
Lexington, MA 02420
☎ CONTACT
info@spanalytics.biz
(617) 549-2683
Areas of Practice
Data discovery, audit and assessment; Data integration
For data science to provide competitive advantage you need the following:
•Data that is unique to the enterprise about its customers, products, pricing, manufacturing, operations, logistics, finance etc.,
•Top management support of data science and analytics and a continuous culture of establishing and proving use cases at a corporate level that will provide competitive advantage across the organization
•Data sources that are stable, reliable and have near infinite availability
These data sources have to be “discovered”, documented (tables; ERDs; fields; missing data), then integrated using match keys, checked and cleaned to be input into the analytical, data visualization and modeling stages. We take pride in our clarity of understanding this crucial phase and working with our clients to arrive at leading edge technical solutions.
Pricing and Promotional Analysis
Pricing and promotions are key to a firm’s profitability. Pricing analytics and strategy is one of the most challenging areas as you need to account for thousands of SKUs (for a retailer) to product costs, strategic needs, customer segment’s price sensitivity, competitive reactions, channels, and time among many drivers. We have worked on over 50 pricing projects using survey data, experimental design and customer transaction data to solve pricing problems for our clients.
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Business Intelligence and Data Visualization
We have deep expertise in using data to create compelling business intelligence and data visualization products. We use our expertise here for exploratory analysis prior to building machine learning models as well as create stand alone products. Data visualization is complex and requires asking many questions and building the end product in an iterative fashion. We focus on using R base graphics, ggplot2 and Tableau. For interactive visualizations we use RShiny.
Customer segmentation and valuation
Customer segmentation is a crucial construct in creating and driving marketing strategy. We have worked on over 100 segmentation projects across multiple industries using a variety of data. Examples of data sources that we have worked with are survey data, customer transaction data, loyalty program data and social media data Our approaches use unsupervised learning approaches such as principal components analysis, Factor and cluster analysis and latent class analysis. We also have deep expertise in developing scoring models to classify customers in the data base into segments for developing targeting and cross selling campaigns.
Strategic marketing science
Our foundational expertise is in marketing science. We have industrial grade expertise across industries to solve most marketing, pricing, branding and channel problems. Our key methodologies are experimental design, supervised and unsupervised machine learning, A / B testing. Some illustrative thumbnail descriptions of our projects are:
Training
We are currently designing training programs for the following analytics and data sciences topics:
•Foundational course in statistical methods inference
•Data visualization using R Software – ggplot and R Shiny
•Data visualization using Tableau
•Foundational program in using R for data analysis
•Supervised learning modeling using R software
•Unsupervised learning modeling using R software
•Python data manipulation using Pandas
•Supervised learning in Python using SciKit Learn
•Machine learning in Python using Tensor Flow
PROJECT SNAPSHOTS ACROSS PRACTICE AREAS
STRATEGIC MARKETING SCIENCE
Customer segmentation, promotional analysis, pricing analysis for a major retailer using point of sale and loyalty card data
Creating social media data-based products to develop an audience attribution and research platform for major entertainment and media companies.
Brand equity modeling using experimental designs and supervised machine learning
Customer lifetime valuation models for the subscribers of a major US cable TV company (Used Multinomial Logistic Regression)
Customer churn models for wireless service providers using telecom transaction data. (Used Logistic regression and Survival Modeling)
Customer segmentation and valuation
Multiple projects in physician segmentation for various markets such as for pain management, CNS products, Dermatology, Physician and Parent Segmentation in the ADHD marketplace. (Algorithm used was Finite Mixture Models)
Customer segmentation for multiple retail banks and mutual fund companies
Segmentation and customer valuation for a major US based footwear retail chain.
Develop customer segmentation and product design using choice models for a streaming music service for a major entertainment company
Segmentation using social media data to develop a audience attribution platform
Pricing and Promotional Analysis
Creating and operationalizing price elasticity models for a multi-department, multi-product retail company across channels, time and across major customer segments using the idea of key value items and key value segments.
Pricing models and optimization algorithms for a major cruise line
Credit card pricing optimization models using experimental design, discrete choice modeling and transaction data.
Optimizing price bundling for a major telecommunications company
Price optimization and demand forecasting for in-line pharma products
Determine price setting mechanisms for various oncology and infectious disease products.
“We must all obey the great law of change. It is the most powerful law of nature.”
Let's Chat.
Use the form below to contact us regarding your enquiry. Please be as detailed as possible. Include your industry along with any specific data issues and use cases. To help us best service your enquiry, we recommend that you first describe the issue you are having before telling us what you want to achieve. You may also email or call us to make an appointment.