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Data Science Solutions

Transform raw data into actionable insights that fuel innovative strategies and measurable growth. Our team of over 100 experts utilizes AI & advanced analytics to develop customized models and predictive tools. Optimize operations and enhance decision-making with our tailored data science analytics services, which drive revenue growth and competitive advantage.

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Making Data Science Service Work with AI

AI turns data science solutions from expensive guessing into reliable control over what matters most, from predictive analytics with real-time data to process automation through AI.

Smart Customer Prediction Systems

Predict customer churn 6 weeks early using machine learning. Reduce churn by 35% and save $2.4M annually. Deploy in 3-4 months across SaaS, subscriptions, and banking.

Automated Decision Workflows

Automate business decisions with AI and NLP. Achieve 80% faster processing, 92% accuracy, and 40% fewer staff. Deploy in 4-6 months across finance, insurance, and logistics.

Personalized User Experiences

Personalize user experiences with AI recommendation engines and behavioral clustering. Boost conversions by 45%, order value by 25%, and cut acquisition costs by 30%. Launch in 2-3 months for e-commerce, streaming, and content sites.

Want to know which customers will cancel before they do?

We'll build enterprise data science solutions that identify problems weeks in advance.

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Get More From Your Data with Our Data Science Services

Data is more than just numbers. It's a roadmap to success. Whether in healthcare, finance, retail, or any other sector, we have the tools and experience to help you leverage your data for maximum impact through our business intelligence enhancement and data science analytics services. Watch the video, explore our range of data science services, and see how we can empower your business to thrive in the digital age.

Let your data make value

What Does Data Science as A Service Include?

These data science development services transform scattered data into predictions that prevent problems, dynamic pricing algorithms that drive decisions, and AI-enhanced data insights that directly increase revenue.

Predictive Analysis

We bring you value by extracting insights from historical data. Our forecasting models can help you with improving sales, inventory management predictions, and process management. What is more, empower your marketing and user experience by applying product recommendation engines and buyer behavior prediction, all enabled through our analytics-as-a-service.

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Machine Learning

Our machine learning algorithms analyze vast amounts of data and learn patterns within that data. This enables businesses to forecast future outcomes based on historical data, which can be invaluable to traditional mathematics and is at the heart of modern data science solutions. This includes regression analysis techniques, feature engineering approaches, and neural network architecture for more advanced applications.

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Natural Language Understanding

Our developers provide NLP tools for your business to help you gain more from the data with sentiment analysis methodologies, text extraction, and classification. In other words, we can parse PDFs, extract key topics, understand clients' intent, and make a structure from your unstructured text — part of our advanced data science services.

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Big Data Visualization

Visual charts, tables, and dashboards allow you to understand the information collected from various data sources at a glance. Catch your insights with DATAFOREST, your data science services company.

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Analyzing Big Data

We determine your ideal client profile based on the data you possess. We also increase the performance of your marketing campaigns and sales by targeting the most motivated leads, powered by our data science integration and financial data science solutions.

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What You Get from Our Data Science Services Company?

Transform your business from guesswork to guaranteed control over revenue, problems, decisions, and market advantage with our outsourced data science services.

Revenue You Can Count

Your data tells you exactly which customers buy when they buy and what makes them spend more — the foundation of our revenue optimization techniques.

Problems You Prevent

Catch equipment failures, banking fraud detection systems, customer churn, and supply shortages before they cost you money, thanks to anomaly detection systems and predictive analytics with real-time data.

Decisions That Scale

Automate the tasks that consume your time, so you can focus on the ones that matter. That’s where operational efficiency metrics and data science implementation services deliver their greatest ROI.

Competition You Beat

Use automated predictive insights through exploratory data analysis techniques so your competitors don't have to win deals, keep customers, and dominate markets with enterprise data science.

How do We Turn Your Data into Control? In 5 Steps!

We find the real problems killing your profits, clean your messy data, build predictive models, test them against reality, and then deploy systems that prevent disasters and boost revenue.

How do we help companies?

Step 1: Data Science Consulting Services

We identify which problems are costing you money. Not the ones that sound important. The ones that break your business when they go wrong. Most companies have three real problems, hiding behind twenty fake ones. That’s what good data science consulting exposes.

Step 2: Data Assessment

Your data is messier than you think. As a data science company, we map what exists, what is missing, and what is garbage. We apply data preprocessing methodologies to clean and structure the data. Half the work happens here. Skip this step, and everything breaks later.

Step 3: Custom Model Development

As a data science service provider, DATAFOREST creates systems that predict. Not magic. Math applied to patterns your competition hasn't noticed yet. The models either work or they don't. No middle ground. We use supervised learning implementation, time series forecasting, and pattern recognition algorithms.

Step 4: Testing Data Science Solution

We test everything against reality. Models that look perfect in labs often fail when customers get involved. We catch the failures before they cost you deals — part of our rigorous business applications and data science development services.

Step 5: Data Science Implementation

The system goes live and starts making decisions for you. Revenue changes. Costs drop. Problems get solved before they happen. Or we fix what's broken until they do with full data science implementation support services.

What Enterprise Data Science Controls?

Most businesses operate on guesswork about their customers, waste time on broken processes, price items incorrectly, and make decisions too slowly. Enterprise data science solutions fix the specific problems that cost you money.

Advanced Customer Analytics & Behavior Prediction

Identify which customers are likely to leave before they do, increasing retention rates by 40% and saving millions in acquisition costs, using customer satisfaction improvement, customer segmentation strategies, and customer experience analytics that see churn before it hits.

AI-Powered Optimization of Business Processes

Eliminate the bottlenecks that slow everything down, cutting processing time by 70% and reducing operational errors by 85%. These are the wins of data science consulting services and performance optimization KPIS.

Intelligent Product Recommendations & Pricing

Show people precisely what they want to buy at prices they'll pay, boosting conversion rates by 45% and profit margins by 30%, delivered through dynamic pricing algorithms and retail analytics implementation with real business impact.

Data-Driven Decision-Making Acceleration

Replace calls and meetings with math, cutting decision time from weeks to hours while improving accuracy by 60%. That’s how analysis context and data science development services shift decision-making from debate to action.

Stop guessing what your customers will do next.

Get control over the decisions that move revenue with our enterprise data science solutions.

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What Methods Does DATAFOREST Use?

We apply mathematical methods to patterns in data. They turn chaos into something you can control. But they only work when your data isn't lying to you — a core principle of business intelligence enhancement.

Statistics methods

Linear\Logistic regression

Least squares

Agglomerative clustering

Pearson correlation

Chi-squared test

Non-NN machine learning

Support Vector Machines

Nearest Neighbors

Naive Bayes

Decision Trees

Random Forests

Gradient Boosting

LightGBM

XGBoost

K means/prototypes/modes

DBSCAN

Isolation forest

Local outlier factor

Neural networks, including deep learning

Self organizing map

Multilayer perceptron

Autoencoders

Generative adversarial network

AI & ML in Action: Data Science Success Stories

Check out a few case studies that show why DATAFOREST will meet your business needs.

All Success Stories

Data Science

Web and mobile development

Data Engineering

Emotion Tracker

For a banking institute, we implemented an advanced AI-driven system using machine learning and facial recognition to track customer emotions during interactions with bank managers. Cameras analyze real-time emotions (positive, negative, neutral) and conversation flow, providing insights into customer satisfaction and employee performance. This enables the Client to optimize operations, reduce inefficiencies, and cut costs while improving service quality.

15%

CX improvement

cost reduction

Alex Rasowsky

CTO Banking company

View case study

They delivered a successful AI model that integrated well into the overall solution and exceeded expectations for accuracy.

The client wanted to provide the highest quality service to its customers. To achieve this, they needed to find the best way to collect information about customer preferences and build an optimal tracking system for customer behavior. To solve this challenge, we built a recommendation and customer behavior tracking system using advanced analytics, Face Recognition, Computer Vision, and AI technologies. This system helped the club staff to build customer loyalty and create a top-notch experience for their customers.

The online marketplace for cars wanted to improve search for users by adding full-text and voice search, as well as advanced search with specific options. We built a system application using Machine Learning and NLP methods to process text queries, and the Google Cloud Speech API to process audio queries. This helped greatly improve the user experience by providing a more intuitive and efficient search option for them.

This project optimized the cloud infrastructure of a U.S. IT services company to reduce costs and improve performance. Our investigation identified several areas for optimization, including unused computing resources, inconsistent storage, and a lack of savings plans. We helped to optimize resources, implemented better policies for storage, and improved internal traffic flow through architecture redesigns and dockerization.

The client was faced with the challenge of creating an optimal assortment list for more than 2,000 drugstores located in 30 different regions. They turned to us for a solution. We used a mathematical model and AI algorithms that considered location, housing density and proximity to key locations to determine an optimal assortment list for each store. By integrating with POS terminals, we were able to improve sales and help the client to streamline its product offerings.

The project aims to develop a deal origination platform for private equity investments in infrastructure-related sectors and involves building a secure, interactive B2B platform from scratch, with sign-up functionality to connect investment firms to proprietary investment opportunities. DATAFOREST built a highly-loaded platform and applied AI functionality to empower the application's development.

The electronics retailer, wanted to improve their sales and customer service by analyzing the flow of people into their stores. We created a system using Machine Learning, image detection, and face recognition. The system tracks visitors' movements and the most viewed shelves and products. This information helps the store to focus on selling popular products and to avoid unpopular ones, ultimately improving the sales process.

All Success Stories

Would you like to explore more of our cases?

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Want results you can measure instead of promises you can't?

Schedule a consultation with the data science solutions company that focuses on problems.

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Business Challenges Addressed by Enterprise Data Science Solutions

Business problems don't announce themselves. They show up as lost customers, wasted time, and revenue that should exist but doesn't. That’s where financial data science solutions step in.

Customer Loss You Never See Coming

Your best customers cancel without warning. Support teams scramble to save accounts after the damage is done. Data science solutions identify warning signs 4-6 weeks earlier, reducing churn by 35% and saving millions annually in retention costs.

Decisions Made in Conference Rooms

Management argues about what might work, while competitors act on what they know works. Teams waste weeks analyzing the wrong metrics or debating obvious choices. Data science integration platforms cut decision time from 3 weeks to 2 days while improving accuracy by 60%.

Revenue Left on Every Table

Website visitors browse and leave. Customers often opt for the cheapest option when they can afford a better one. Conversion optimization and dynamic pricing, enabled by advanced data science services, increase revenue per visitor by 40% and profit margins by 25%.

People Doing Computer Work

Employees spend hours on tasks that computers should handle. Manual processes create bottlenecks and errors that cascade through operations. Process automation reduces labor costs by 45% and eliminates 80% of human errors in routine tasks.

Data Science Consulting Articles

All publications

April 29, 2025

12 min

Predictive Insurance: Historical Data for Actionable Foresight

March 14, 2025

13 min

Data-Driven Performance Management: Algorithms for Insights

March 3, 2025

17 min

Data Science Turns Business Metrics into Value Proof

April 29, 2025

12 min

Predictive Insurance: Historical Data for Actionable Foresight

All publications

FAQ

How much time does it typically take to develop and implement an ML model for customer behavior prediction?

Three to six months if your data is clean and you know what you want to predict. Add another month if your data is a mess, which it usually is. The model works, or it doesn't—there's no middle ground where it predicts things. That's how data science development services work: complex reality, not best-case theory.

Do we need our own data scientists to collaborate with your company?

You need someone who understands your business and can tell us when we're building the wrong thing. This person doesn't need to code, but they need to know what matters to your customers. Without this, even the best data science consulting services miss the mark.

How can data science help reduce customer churn in SaaS or e-commerce businesses?

With our churn prediction models, we find the warning signs that happen weeks before people cancel. Usage drops, support tickets increase, or billing issues pile up - patterns humans miss. The data science service flags at-risk accounts, allowing you to save them before they leave.

How difficult is it to integrate your data science solutions with our existing systems (CRM, ERP, etc.)?

If your systems can export data and accept simple API calls, data science integration is straightforward. If everything is locked down or runs on ancient software, expect problems and delays. Most companies think their systems are more flexible than they are.

How do you ensure data security while working on projects?

We sign contracts that can harm us financially if we mishandle your data. All work happens in secure environments with encryption and access controls. But the biggest risk isn't technical—it's people doing stupid things like emailing passwords. That's why secure data science implementation also includes training for people.

How do your data science services differ from using ready-made AI/ML solutions on the market?

Off-the-shelf solutions work for generic problems but fail when your business is different. A custom data science service provider builds systems that understand your specific customers, processes, and data.

What is the typical team structure for a data science project, and who is needed from our side?

We bring data scientists, engineers, and project managers. You provide someone who knows the business, someone who controls the data, and someone who can make decisions quickly. That’s the only way data science services succeed.

Can we begin with a small pilot project before implementing it on a full scale?

Yes, and you should. Pick one specific problem that costs you money right now. We solve that first, prove the approach works, and then expand — a lean approach to enterprise data science.

How are machine learning models maintained and updated after implementation, considering changes in data over time?

Models break when your business changes or customer behavior shifts. We set up monitoring that catches problems before they hurt performance. Someone on your team needs to watch the alerts and know when to call us — that’s part of our data science implementation support services.