Data Science Models in North Carolina - Machine Learning & Regression Models

Robust predictive and prescriptive models of all types

DATA SCIENCE MODEL BUILD ATTRIBUTES

You can count on Value Driven data science model builds to be...

Designed to predict or prescribe something that leads to actions that drive value
Customized to your needs
Built in a robust way, setting up the modeling datasets and model parameters to be in line with the business situation and goal
Accurate as the data is with a high level of attention to detail
Deployed in an interactive dashboard if desired
Automated to refresh on a schedule if desired
Presented in a platform of your choice (presentation, Power Point, interactive dashboard)
Conveyed in a way non-technical stakeholders can appreciate
Delivered on time
Provided with any Python, SQL, or interactive dashboard files used if desired

Predictive Modeling

Experience the value of predictive modeling techniques that can help you optimize your operations for the future

Prescriptive Modeling

Learn exactly what drives the metrics you care most about so you can optimize your investments

Models Visualized

Access the results of your model build in an interactive dashboard

EXAMPLES

Examples of Modeling Use Cases

Use data science modeling to predict and plan for the future and gain insights that optimize your future profitability.

Clustering/Segmentation: creates groupings based on similar characteristics, including geographical territories
Time Series Predictions: forecasts a KPI in the future based on historical trend and seasonality
Indexing: distributes KPI goal across days based on seasonality, holidays, etc…
Sales Force Quotas: distributes overall business goal across salespeople based on each territory’s potential
Predicting Likelihood and Amount of Purchase: Among prospects, web visitors, past customers, etc…
Impact of Sales Efforts: including visits, calls, emails, etc…
Sales Drivers
Product Recommendations
Pricing Optimization
Custom model use case based on your business opportunities

10 +

Years Experience with Data Science Modeling

100 +

Models Built

What is Data Science and Machine Learning?

Learn Data Science in Python by Building a College Football Game Prediction Model

Data Science Articles to Help You Drive More Value

Why Should Data Scientists Use a Consistent Process for Data Science Model Monitoring and Management?

While building data science models can drive a lot of value for an organization, it is important to create and maintain a robust model monitoring/management system.

How Should an Organization Set its Overall Sales Goals?

It’s important to build sales goals in a robust manner in order to make sure they are reasonable targets.

How Should an Organization’s Overall Sales Goal Be Distributed Across Salespeople?

It’s important to distribute your organization's overall sales goal across salespeople using a data-driven quota model.

How can an Organization Assess Performance Against Goals within a Month or Quarter?

Your organization needs a way to get a proactive, real-time, and accurate assessment of how it’s performing against the current month or quarter’s business goals before that time period ends.

Why Does Your Sales Team Need a Robust Data-Based Prioritized List of Customers to Contact?

If your sales team doesn't have access to a data-based prioritized list of customers or leads to contact, they are operating at a big disadvantage compared to the competition.

Why Does your Marketing Team Need Reporting that Compares Each Program's ROI?

If your marketing team doesn't have access to reporting that compares the ROI (return on investment) of each program, they are likely operating at a big disadvantage compared to the competition.

How Should a Firm Set the Price of Products and Services?

If your organization is simply basing its pricing strategy on competitor prices, it could be missing out on some big opportunities to boost profitability through more optimized data-driven pricing.

How Can a Firm Optimize its Hours of Operation and Employee Scheduling?

If your firm is simply basing its hours of operations on what competitors are doing, it could be missing out on big opportunities to close when it's not profitable to be open or to open at opportunistic...

How Should a Firm Determine Where to Expand Geographically?

Without a robust data-driven location sales forecast model, your organization could easily invest in some non-profitable locations and miss out on highly profitable locations.

How Long Does a Typical Data Science Model Build Take from Start to Initial Implementation?

While building data science models can drive a lot of value for an organization, they unfortunately have a reputation for taking several months to build and deploy.

What are Some Benefits of Using Deep Learning Neural Network Models?

Analysts and data scientists can benefit immensely from learning about deep learning neural networks to perform cutting edge analysis such as image detection, voice recognition, natural language processing,...

Why is it Important to Test Data Science Models on a Holdout Dataset before Deploying Them?

It's important for analytics and data science teams to test their models on a holdout dataset before deploying them.

What are Some Benefits of Using Data Science?

We would highly recommend encouraging analysts at your organization to apply data science modeling to as many use cases as is practical.

Other Services

Automated Data Processes

Custom solutions to automate manual tasks and make the most of your data

Automated Data Processes

Customer data integration, automated data validation checks, efficient ETL, or your custom automation use case

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Interactive Dashboards

Automated, interactive, & actionable Power BI and Tableau dashboards

Interactive Dashboards

Harness the power of data visualization to make informed decisions.

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Rigorous & Actionable Analysis

Rigorous analysis on business trends, program effectiveness, and more

Actionable Analysis

Transform raw data into actionable recommendations and drive meaningful outcomes.

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Data Science Model Builds

Robust predictive and prescriptive models of all types, customized to your needs

Data Science Model Builds

Leverage advanced statistical and machine learning techniques to extract valuable insights and drive smarter decision-making for your business.

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Analytics & Leadership Training

Customizable training to develop and inspire your employees

Analytics & Leadership Training

Equip your professionals with the knowledge and strategies needed to harness data effectively, drive innovation, and lead with confidence in the digital age.

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