Big Data Analytics

Big data analytics services that turn data into decisions

Transform raw, scattered data into clear insights that drive smarter decisions, faster execution, and measurable business outcomes.

Talk to a data expert

Our clients

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Why Big Data Fails for Most Organizations

40%

of datasets are unusable initially dirty, siloed, or undocumented forcing repeated cleaning that wastes budget.

70%

of companies fail to operationalize data pipelines, delaying insights and costing months of missed decisions.

56%

of analytics projects never reach production because of poor data readiness, integration gaps, and unclear ownership.

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What You Gain With Big Data Analytics

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Faster, Confident Decision-Making

Access real-time and historical insights through unified dashboards that eliminate guesswork and support faster, data-backed decisions.

Scalable Analytics Architecture

Build analytics systems that scale with growing data volumes without breaking performance, cost efficiency, or governance controls.

Improved Data Accuracy

Clean, standardized, and validated datasets ensure leaders trust insights instead of questioning the numbers behind every report.

Cross-Team Visibility

Break data silos by connecting product, marketing, operations, and finance data into a single, shared analytics foundation.

Our Big Data Analytics Capabilities

Big Data Consulting

Big Data Consulting

Define analytics goals, platforms, and roadmaps aligned with business priorities and measurable outcomes.

Data Warehousing

Data Warehousing

Design and implement modern data warehouses optimized for analytics performance and scalability.

Data Lakes & Lakehouses

Data Lakes & Lakehouses

Centralize raw and processed data to support advanced analytics, ML, and reporting use cases.

Real-Time Analytics

Real-Time Analytics

Process streaming data for real-time dashboards, alerts, and operational intelligence.

BI & Visualization

BI & Visualization

Build intuitive dashboards that translate complex data into executive-ready insights.

Data Quality & Governance

Data Quality & Governance

Ensure accuracy, security, lineage, and compliance across all analytics workflows.

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Big Data Analytics From an ROI Perspective

Reduced Decision Latency

Organizations using real-time analytics reduce decision cycles by up to 5×, allowing teams to respond faster to market shifts and operational risks.

Higher Revenue Opportunities

Data-driven companies are 23% more likely to acquire customers and 19% more likely to be profitable by acting on accurate insights faster.

Lower Operational Costs

Automated data pipelines and centralized analytics reduce manual reporting effort, cutting analytics operating costs by up to 30%.

Better Forecast Accuracy

Predictive analytics improves demand and performance forecasting accuracy by over 20%, reducing waste and missed opportunities.

Stronger Executive Alignment

Unified analytics ensures leadership teams work from a single source of truth, reducing misalignment and costly strategic reversals.

Start today

Book free consultation

What We Do at tkxel

Big Data Analytics

Big Data Strategy & Architecture

We design end-to-end big data architectures tailored to your business goals. From data ingestion to analytics layers, we align tools, platforms, and governance to ensure long-term scalability and clarity across teams.
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Big Data Analytics

Data Engineering & Pipelines

Our engineers build reliable pipelines that ingest, clean, transform, and store large-scale structured and unstructured data. We ensure high availability, fault tolerance, and performance using modern data engineering best practices.
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Big Data Analytics

Cloud Data Platforms

We implement cloud-native big data platforms on AWS, Azure, and GCP using services like data lakes, warehouses, and distributed processing engines to handle massive workloads efficiently.
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Big Data Analytics

Advanced Analytics & BI

We convert complex datasets into intuitive dashboards and reports using modern BI tools. Leaders get role-specific insights without needing technical expertise or manual data pulls.
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Big Data Analytics

Predictive & Descriptive Analytics

Using historical data and statistical models, we help teams understand what happened, why it happened, and what is likely to happen next supporting proactive decision-making.
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Big Data Analytics

Data Governance & Security

We implement access controls, data quality checks, lineage tracking, and compliance frameworks to keep your analytics trustworthy, auditable, and secure.
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Big Data Analytics

Machine Learning and AI Solutions

Drive innovation and unlock new possibilities with intelligent big data solutions.
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01

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01 Assess

We analyze your current data sources, platforms, quality issues, and reporting gaps to define clear analytics objectives.
 Deliverables: Data assessment report, gap analysis
 Duration: 1–2 weeks

02 Design

We architect the big data platform, analytics layers, and governance model aligned with scale, performance, and security needs.
 Deliverables: Architecture blueprint, analytics roadmap
 Duration: 2–3 weeks

03 Build

Our team develops data pipelines, storage layers, analytics models, and dashboards using scalable technologies.
 Deliverables: Data pipelines, analytics models, dashboards
 Duration: 4–6 weeks

04 Integrate

We connect analytics with business systems, applications, and workflows to ensure insights reach decision-makers.
 Deliverables: Integrated data flows, validated reports
 Duration: 2–3 weeks

05 Optimize

We fine-tune performance, improve data quality, and enhance insights based on usage and feedback.
 Deliverables: Optimized pipelines, performance benchmarks
 Duration: Ongoing

step 1

Assess

We analyze your current data sources, platforms, quality issues, and reporting gaps to define clear analytics objectives.
 Deliverables: Data assessment report, gap analysis
 Duration: 1–2 weeks

step 2

Design

We architect the big data platform, analytics layers, and governance model aligned with scale, performance, and security needs.
 Deliverables: Architecture blueprint, analytics roadmap
 Duration: 2–3 weeks

step 3

Build

Our team develops data pipelines, storage layers, analytics models, and dashboards using scalable technologies.
 Deliverables: Data pipelines, analytics models, dashboards
 Duration: 4–6 weeks

step 4

Integrate

We connect analytics with business systems, applications, and workflows to ensure insights reach decision-makers.
 Deliverables: Integrated data flows, validated reports
 Duration: 2–3 weeks

step 5

Optimize

We fine-tune performance, improve data quality, and enhance insights based on usage and feedback.
 Deliverables: Optimized pipelines, performance benchmarks
 Duration: Ongoing

Ready to Unlock the Value of Your Data?

Turn data into a strategic asset with tkxel’s Big Data Analytics services built for scale, clarity, and real business impact.

Get a Data Strategy Session

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

AMERICA’S FASTEST GROWING COMPANY

AMERICA’S FASTEST GROWING COMPANY

TOP 100 INSPIRING WORKPLACES 2025

TOP 100 INSPIRING WORKPLACES 2025

FORBES COACHES COUNCIL

FORBES COACHES COUNCIL

FINANCIAL TIMES

FINANCIAL TIMES

mogul people leader

mogul people leader

ISO 27001 CERTIFIED

ISO 27001 CERTIFIED

ISO 20000 CERTIFIED

ISO 20000 CERTIFIED

ISO 9001 CERTIFIED

ISO 9001 CERTIFIED

CMMI DEV 3 CERTIFIED

CMMI DEV 3 CERTIFIED

Ready to get started?

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“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

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

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

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

Pam Chitwood

Product Manager, ABB

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“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

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

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

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

Pam Chitwood

Product Manager, ABB

Frequently asked questions

What is Big Data Analytics used for? faq faq

Big Data Analytics helps organizations analyze large and complex datasets to uncover patterns, trends, and insights that support better business decisions.

How long does a Big Data Analytics project take? faq faq

Most projects take 8–12 weeks for initial implementation, depending on data complexity, sources, and analytics goals.

Can Big Data Analytics work with existing systems? faq faq

Yes. tkxel integrates analytics with your current databases, cloud platforms, CRMs, ERPs, and applications.

Is cloud required for Big Data Analytics? faq faq

Cloud platforms are recommended for scalability and cost efficiency, but hybrid and on-prem models are also supported.

How does Big Data Analytics improve ROI? faq faq

It reduces decision delays, lowers reporting costs, improves forecasting accuracy, and helps teams act on insights faster.

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