Problem Framing
Translate the research question into a modeling task with explicit targets and evaluation expectations.
✓ Research objectives
✓ Target definitions
✓ Baseline choices
✓ Evaluation criteria
Data Science Services
Turn Business Questions into Testable Models
Connect statistical analysis and predictive modeling with the decisions your team needs to make. Start with a clear question, examine the available data, and evaluate whether a model adds useful evidence.
Discuss your data science projectQuestions
Define the decision, target outcome, and limits of the analysis.
Sources
Identify relevant records and check their quality and coverage.
Exploration
Examine patterns, missing values, and potential sources of bias.
Modeling
Compare statistical and predictive approaches against a baseline.
Validation
Evaluate results on held-out data and explain uncertainty.
Decisions
Present findings in a form that supports practical business choices.
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Turn Business Questions into Analytical Models
Shape a data science project around the decisions it needs to support, from preparing source records to interpreting model outputs.
Model validation overviewIllustration
Data preparationFocus area
Data preparation
Check source coverage, missing values, and definitions.
Discuss your data science project →Statistical modelingFocus area
Statistical modeling
Match statistical methods to the business question.
Discuss your data science project →Model validationFocus area
Model validation
Test predictions against baselines and unseen records.
Discuss your data science project →Decision supportFocus area
Decision support
Explain findings for dashboards and business decisions.
Discuss your data science project →Interfaces for Data Science
Data science interfaces need to explain model inputs, analytical context and the limits of an output. The front-end comparison illustrates a shift from disconnected presentation work toward coordinated, AI-assisted interface development. Move across the image to compare approaches, and click to pin or release the divider.
Architecture & Performance
MODULE 01
State Manager
Testing isolated logic for project1 within a secure sandbox environment.
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MODULE 02
Search Algorithm
Testing isolated logic for project2 within a secure sandbox environment.
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MODULE 03
DOM Kanban
Testing isolated logic for project3 within a secure sandbox environment.
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MODULE 04
Async Data
Testing isolated logic for project4 within a secure sandbox environment.
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MODULE 05
CSS Variables
Testing isolated logic for project5 within a secure sandbox environment.
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MODULE 06
Form Validator
Testing isolated logic for project6 within a secure sandbox environment.
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Data Science
From Question to Model
Plan statistical and predictive work around a defined question, suitable data and an evaluation process that reflects the intended use.
Frame the Analytical Problem
Specify the outcome being investigated, available observations and the assumptions that shape a useful analytical approach.
Prepare Modeling Data
Review target definitions, missing records and possible leakage before selecting features or separating evaluation data.
Evaluate in Context
Compare model behavior with a suitable baseline and document where the available evidence does not support a conclusion.
DataModeling
Inputs
Inputs
MLPredictive
Methods
Methods
QAEvaluation
Review
Review
Science
Workflow
Workflow
Keep data, modeling choices and evaluation connected.
Problem
Frame the statistical or predictive question.
01
Evidence
Check observations, labels and data limits.
02
Features
Prepare model inputs without data leakage.
03
Model
Fit models suited to the available evidence.
04
Evaluation
Inspect prediction errors and research limits.
05
Data Science With a Defined Research Task
Shape statistical and predictive work around the question, available observations and evidence needed to evaluate a result.
Modeling Inputs
Review observations and features for relevance, missing information and possible data leakage.
✓ Feature preparation
✓ Label inspection
✓ Leakage checks
✓ Dataset separation
Model Evaluation
Compare candidate behavior on suitable evaluation data and inspect the errors behind summary measures.
✓ Candidate comparisons
✓ Error analysis
✓ Validation samples
✓ Assumption review
Research Handover
Keep analytical methods and their operating limits understandable to the team using the findings.
✓ Method documentation
✓ Reproducible steps
✓ Result context
✓ Further investigation
Looking for plans and pricing?
Get a preview of our enterprise PPC services
Growing PPC’s performance starts with a plan customized to your business, industry, and audience. So, we build a customized enterprise PPC service plan for your organization, providing you with a roadmap for how we’ll achieve your goals for paid search, from greater brand awareness to bigger market share.
Custom PPC Plans
Starting at
$650 / month
How we determine pricing
Your Ad Spend
Your advertising budget will not only determine your monthly management costs, it will also help determine which advertising channels we’d recommend investing in to maximize your marketing budget.
Networks and Targeting
Your custom strategy will depend on where you are looking to advertise- Google, Bing, Programmatic, etc. Your WebFX strategist can recommend PPC channels for you based on your business goals!
Creative Needs
If you have an in-house designer, you may not need WebFX’s support with the creation of branded ad creative. However, many of our clients trust WebFX’s design team to create professional, branded display ads for any campaign type.
Included for All PPC Plans:
- In-depth keyword research and advanced selection
- Competitor and industry analysis
- Data-backed keyword development
- Ongoing ad strategy management and optimization
- Access to our in-house revenue acceleration software RevenueCloudFX
Plan 1 of 3
Engineering Insights
Explore our most frequently asked questions to understand our approach to front-end architecture, performance optimization, and scalable design systems.
We utilize a combination of code-splitting, tree-shaking, and edge caching. By leveraging Next.js Server Components, we minimize the JavaScript bundle sent to the client, ensuring the main thread remains unblocked for immediate user interaction.
Headless architecture decouples the frontend from the backend. This allows us to use modern frameworks like React for the UI, resulting in significantly faster load times, better security, and a richer, app-like user experience compared to traditional PHP themes.
Yes. We don't just build pages; we architect Atomic Design systems. We create reusable libraries of components (atoms, molecules, organisms) that ensure visual consistency and scalability across your entire application.
We use Server-Side Rendering (SSR) and Static Site Generation (SSG) to ensure search engine crawlers see fully rendered HTML. We also implement semantic HTML5, dynamic metadata, and schema markup to maximize visibility.