Data Analytics

Make faster decisions with real-time data analytics services

Unify dashboards, KPIs, predictive analytics, and real-time reporting to help teams make faster, data-driven decisions.

OUR CLIENTS

Is fragmented data limiting visibility?

59 %

Companies often lack visibility into whether their data is accurate, complete, or usable

19 %

Valuable business data is often trapped across silos, making analytics incomplete or unreliable.

30 %

Data leaders struggle to connect analytics work to measurable business outcomes..

Data analytics services that turn complex data into clear business insight

Data Analytics

Predictive Analytics

Forecast revenue, demand, churn, risk, and operational trends with predictive analytics models built on clean data pipelines and business-ready datasets.

Data Analytics

Business Intelligence

Unify KPIs, reports, and operational metrics into BI dashboards that help leaders monitor performance and reduce reporting blind spots.

Data Analytics

Data Visualization

Turn complex data into interactive dashboards, executive reports, and visual analytics using Power BI, Tableau, Looker, and embedded analytics.

Data Analytics

Customer Performance Analytics

Analyze customer journeys, retention patterns, churn signals, and engagement trends to improve targeting, service quality, and customer experience.

Data Analytics

Real-Time Analytics

Monitor business activity as it happens with live dashboards, streaming data views, automated alerts, and real-time analytics pipelines.

Data Analytics

Big Data Analytics

Analyze high-volume structured and unstructured data with scalable ETL workflows, cloud platforms, data warehouses, and distributed analytics systems.

Data Analytics

Power BI Consulting

Design, optimize, and scale Power BI dashboards, reports, semantic models, and self-service analytics experiences for reliable business reporting.

Data Analytics

Data Analytics Consulting

Identify analytics use cases, define KPIs, assess data readiness, and create a practical roadmap for measurable business value.

Data Analytics

Cloud Data Warehousing

Centralize business data with cloud-based data warehouse solutions using Snowflake, BigQuery, and modern analytics architectures.

Data Analytics

Advanced Analytics Models

Understand what happened, forecast what may happen next, and identify the best actions with descriptive, predictive, and prescriptive analytics.

Data Analytics

Analytics as a Service

Get ongoing support for dashboards, reporting, ETL workflows, BI enhancements, predictive models, monitoring, and continuous insight delivery.

Transform your data into decision ready intelligence

Turn your data into a unified intelligence layer that enhances planning, optimizes operations, and supports decisions with clear, evidence-driven insights.

How we build predictive intelligence
that delivers measurable impact

01

01 Define the predictive objective

We start by understanding the business decisions you want to improve and the predictions required to support them. Our team assesses data availability, evaluates signal strength, and confirms feasibility before moving forward.

Deliverables: Problem definition | Data Science readiness score | Use case feasibility report

02 Prepare & engineer

We transform raw data into analysis-ready assets by cleaning datasets, building feature sets, and creating structured data layers. This includes temporal features, segmentation variables, behavioral patterns, and domain signals that enhance model accuracy.

Deliverables: Analytical datasets | Feature store assets | Data preprocessing pipelines

03 Build and validate models

We develop multiple model candidates using statistical and machine learning techniques. Each model undergoes accuracy testing, cross-validation, and scenario evaluation to ensure performance holds under real business conditions.

Deliverables: Model prototypes | Validation metrics | Benchmark comparison

04 Deploy into production

We integrate the selected model into your operational systems using APIs, workflow triggers, or scheduled jobs. This ensures predictions flow directly into your CRM, ERP, support tools, or planning environment where teams take action.

Deliverables: Deployed prediction service | Integration workflows | Deployment documentation

05 Monitor and improve continuously

We track live model accuracy, monitor drift, and evaluate changes in feature behavior. Automated alerts, retraining cycles, and governance checks ensure your predictive systems remain reliable as data evolves.

Deliverables: Monitoring dashboard | Drift alerts | Optimization roadmap

How we build predictive intelligence
that delivers measurable impact

step 1

Define the predictive objective

Deliverables: Problem definition | Data Science readiness score | Use case feasibility report

step 2

Prepare & engineer

Deliverables: Analytical datasets | Feature store assets | Data preprocessing pipelines

step 3

Build and validate models

Deliverables: Model prototypes | Validation metrics | Benchmark comparison

step 4

Deploy into production

Deliverables: Deployed prediction service | Integration workflows | Deployment documentation

step 5

Monitor and improve continuously

Deliverables: Monitoring dashboard | Drift alerts | Optimization roadmap

Case studies

60% reduced customer response times with an AI assistant

Hospitality & TravelArtificial Intelligence

View case study

WATCH TESTIMONIAL

Don Sgouridis

CIO, BBJ Latavola

Engineering the architecture behind intelligent content creation

SaaS & TechnologyArtificial Intelligence

View case study

"tkxel built an AI content platform that streamlined workflows, improved team alignment, and boosted productivity."

Head of Product

GreenGro cuts support time in half with AI knowledge agent

AgricultureArtificial Intelligence

View case study

"tkxel built an AI assistant that delivers accurate guidance fast and reduces manual work."

Director of Operations

50% faster discovery with an AI-powered knowledge sharing agent

AgricultureArtificial Intelligence

View case study

"I’m going over testing feedback about the chatbot; overall, testers found the product to be fantastic. We’re very happy with this."

Chris Head

Director of IT, CCOF

Powering enterprise growth with 10x faster insights and scalability

SaaS & TechnologyArtificial Intelligence

View case study

"tkxel optimized our AI platform to scale faster, improve reliability, and control cloud costs."

VP of Engineering

Embedding agentic AI in Slack to eliminate workflow bottlenecks

Media & EntertainmentArtificial Intelligence

View case study

"tkxel built a Slack AI assistant that surfaces SOPs instantly and keeps our team productive."

Head of Operations

35% improvement in forecast accuracy for quarterly demand planning

Logistics & Supply ChainData sciencePredictive Analytics

Predictive demand forecasting

“tkxel helped us finally trust our forecasts. Our planning cycles are now faster and far more accurate.”

28% reduction in churn using a machine learning–based customer retention model

Retail & ConsumerCustomer analyticsMachine learning

Churn prediction & retention analytics

“Their models gave us clear signals on at-risk users. Retention improved almost immediately.”

3× faster decision-making through unified dashboards and real-time analytics

Healthcare & Life SciencesData EngineeringPredictive Analytics

Clinical insights & operational analytics

“Our teams finally get insights in minutes, not hours. It changed how we operate day to day.”

40% increase in marketing ROI with AI-driven segmentation

Retail & ConsumerData scienceML modeling

Customer segmentation & recommendation modeling

“Tkxel helped us target smarter. Every campaign now performs noticeably better.”

22% reduction in operational downtime using predictive maintenance models

Manufacturing & IndustrialData sciencePredictive Analytics

Predictive maintenance and anomaly detection

“The system flags issues before they happen. Our maintenance costs dropped significantly.”

Turn data into predictive intelligence with tkxel

Rapid insight delivery

Deliver fast, decision-ready analytics through sprint-based execution, automated data pipelines, and proven modeling patterns that shorten time to value.

Proven business impact

Drive measurable results by improving forecasting accuracy, lowering churn, strengthening demand planning, and reducing operational costs through targeted analytical solutions.

Transparent and trusted models

Ensure model reliability by applying explainability techniques, fairness checks, and continuous monitoring, so every prediction remains auditable and aligned with governance standards.

Production ready from day one

Avoid analytic “experiments” that never scale. Our solutions are engineered with MLOps best practices, drift detection, and continuous optimization so your predictive models run reliably in real-world business environments.

We’ve been recognized by the best, year after year

AMERICA’S FASTEST GROWING COMPANY

Top 15 inspiring workplaces for 2026

FORBES COACHES COUNCIL

FINANCIAL TIMES

mogul people leader

ISO 27001 CERTIFIED

ISO 20000 CERTIFIED

ISO 9001 CERTIFIED

CMMI DEV 3 CERTIFIED

“tkxel completely transformed the way we manage our customer relationships. Their customized CRM system streamlined our processes and improved customer satisfaction. We highly recommend their services to any business looking for real results.”

Nick Drogo

Global Director IT, Knowles

“They helped us build a docketing app with an intuitive user interface, allowing our attorneys to track over 10,000 U.S. and international patent systems.”

Robert K Burger

COO, Sterne Kessler

“Tkxel has proven beyond par that they excel not just in building and integrating with our team but building at a level that is at par with any US development team. Working with Tkxel is one of the best decisions we have made.”

Umair Bashir

CTO, Replenium

“tkxel shared our vision right from the get go, and helped us achieve the unthinkable through perseverance and a thorough attention to detail. Their team was highly professional and possessed a firm grasp on technicalities, a combination that is hard to find in the industry.”

Pam Chitwood

Product Manager, ABB

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Nick Drogo

Global Director IT, Knowles

“They helped us build a docketing app with an intuitive user interface, allowing our attorneys to track over 10,000 U.S. and international patent systems.”

Robert K Burger

COO, Sterne Kessler

Umair Bashir

CTO, Replenium

Pam Chitwood

Product Manager, ABB

Frequently asked questions

What business problems can data science and predictive analytics solve?

Data science helps companies predict demand, identify risks, understand customer behavior, automate decisions, and improve operational efficiency. Our solutions address financial forecasting, churn reduction, fraud detection, workforce optimization, and more based on your industry and data landscape.

How do you ensure the accuracy and reliability of predictive models?

We build multiple model candidates and train them using cross-validation to ensure stability across different data splits. Final models are then tested on completely unseen data to assess real-world performance before deployment. We also benchmark results, evaluate scenario stability, and implement continuous monitoring to detect drift, recalibrate when needed, and maintain transparency through explainability and fairness checks.

What data do we need to start a predictive analytics project?

We begin with an audit of your available structured and unstructured data from systems such as CRMs, ERPs, IoT devices, applications, and historical logs. Even if your data is incomplete or siloed, we engineer features and design pipelines that prepare it for modeling with high accuracy.

Can these solutions integrate with our existing systems and workflows?

Yes. We deploy models and analytics through APIs, workflow triggers, batch jobs, or direct integrations with tools like CRM, ERP, support, marketing automation, or internal dashboards. Predictions flow directly into the systems your teams already use.

How long does it take to see results from a data science project?

Most clients begin seeing measurable impact in a few weeks through discovery sprints, rapid prototypes, and targeted models built on priority use cases. Larger initiatives involving multiple models or MLOps pipelines follow structured phases to ensure long-term reliability.

How do you handle model governance, transparency, and compliance?

We incorporate explainability, audit trails, version control, and fairness checks into every model. Our MLOps workflows align with leading governance practices, ensuring predictions remain compliant, interpretable, and trustworthy throughout the model lifecycle.

What if our data is not clean, organized, or ready for modeling?

Data readiness is part of our process. We profile, clean, transform, and engineer data to create analysis-ready datasets and feature stores. Whether your data is siloed, inconsistent, or incomplete, we build the foundation required for accurate predictive modeling.

Do you support end-to-end deployment and monitoring of predictive systems?

Absolutely. We design, build, validate, deploy, and operationalize predictive models using production-grade MLOps pipelines with automated monitoring, drift detection, and retraining cycles to ensure stable long-term performance.

Make faster decisions with real-time data analytics services

OUR CLIENTS

Is fragmented data limiting visibility?

59 %

Companies often lack visibility into whether their data is accurate, complete, or usable

19 %

Valuable business data is often trapped across silos, making analytics incomplete or unreliable.

30 %

Data leaders struggle to connect analytics work to measurable business outcomes..

Data analytics services that turn complex data into clear business insight

Data Analytics

Predictive Analytics

Data Analytics

Business Intelligence

Data Analytics

Data Visualization

Data Analytics

Customer Performance Analytics

Data Analytics

Real-Time Analytics

Data Analytics

Big Data Analytics

Data Analytics

Power BI Consulting

Data Analytics

Data Analytics Consulting

Data Analytics

Cloud Data Warehousing

Data Analytics

Advanced Analytics Models

Data Analytics

Analytics as a Service

Transform your data into decision ready intelligence

How we build predictive intelligence that delivers measurable impact

01

How we build predictive intelligence that delivers measurable impact

Define the predictive objective

Prepare & engineer

Build and validate models

Deploy into production

Monitor and improve continuously

Case studies

60% reduced customer response times with an AI assistant

Don Sgouridis

Engineering the architecture behind intelligent content creation

GreenGro cuts support time in half with AI knowledge agent

50% faster discovery with an AI-powered knowledge sharing agent

Chris Head

Powering enterprise growth with 10x faster insights and scalability

Embedding agentic AI in Slack to eliminate workflow bottlenecks

35% improvement in forecast accuracy for quarterly demand planning

Predictive demand forecasting

28% reduction in churn using a machine learning–based customer retention model

Churn prediction & retention analytics

3× faster decision-making through unified dashboards and real-time analytics

Clinical insights & operational analytics

40% increase in marketing ROI with AI-driven segmentation

Customer segmentation & recommendation modeling

22% reduction in operational downtime using predictive maintenance models

Predictive maintenance and anomaly detection

Rapid insight delivery

Proven business impact

Transparent and trusted models

Production ready from day one

We’ve been recognized by the best, year after year

AMERICA’S FASTEST GROWING COMPANY

Top 15 inspiring workplaces for 2026

FORBES COACHES COUNCIL

FINANCIAL TIMES

mogul people leader

ISO 27001 CERTIFIED

ISO 20000 CERTIFIED

ISO 9001 CERTIFIED

CMMI DEV 3 CERTIFIED

Nick Drogo

Robert K Burger

Umair Bashir

Pam Chitwood

Nick Drogo

Robert K Burger

How we build predictive intelligence
that delivers measurable impact

How we build predictive intelligence
that delivers measurable impact