We make data your competitive advantage.
We make data your competitive advantage.
Scalable BI, production ML, and reliable data platforms — tailored to your team and delivered fast.
Scalable BI, production ML, and reliable data platforms — tailored to your team and delivered fast.
Book Consultation
Book Consultation
Outcomes
Faster decisions — dashboards and alerts that surface the right insight.
Lower operational cost — reliable pipelines and automated ETL.
Lower operational cost — reliable pipelines and automated ETL.
Predictive value — models that drive revenue and reduce churn.
Predictive value — models that drive revenue and reduce churn.
Services
Services
Business Intelligence & Dashboarding
Business Intelligence & Dashboarding
Real-time, role-based dashboards that unite your teams around one source of truth.
Data Engineering & Architecture
Data Engineering & Architecture
Scalable pipelines, governance, and cloud architectures built for performance and compliance.
How We Work — 3 Step Strip
Discover — align on KPIs & data readiness.
Deliver — rapid MVP (4–8 weeks) and production handover.
Operate — MLOps, monitoring, and monthly support.
Case Studies
Case Studies
“Within 10 weeks we consolidated 4 sources and delivered dashboards that cut weekly reporting time from 8h → 2h and reduced stockouts by 27%.” — Head of Ops
View Case Studies
View Case Studies
* Ready to unlock your data?
Don’t waste time reinventing the wheel. Take what works and run with it. Focus on what you’re best at, and let us handle the rest.
What is data analytics, and how can it benefit my business?
Data analytics involves collecting, processing, and interpreting data to uncover insights, patterns, and trends that inform decision-making. For your business, it can drive growth by optimizing operations, improving customer experiences, reducing costs, and identifying new opportunities—such as predicting market trends or personalizing marketing strategies.
What types of data analytics services do you offer?
We provide a range of services including descriptive analytics (to understand past performance), diagnostic analytics (to identify causes of issues), predictive analytics (to forecast future outcomes using AI and machine learning), and prescriptive analytics (to recommend actions). This could include dashboard development, data visualization, big data processing, and custom AI solutions tailored to your industry.
How do you ensure data security and privacy?
We prioritize data security by complying with standards like GDPR, HIPAA, and ISO 27001, using encryption, access controls, and regular audits. All client data is handled confidentially, with secure cloud storage and anonymization techniques to protect sensitive information throughout the analytics process.
What is the typical process and timeline for a data analytics project?
Our process starts with a consultation to define goals, followed by data collection, cleaning, analysis, and reporting with actionable insights. Timelines vary by project scope—simple dashboards might take 2-4 weeks, while complex predictive models could span 2-6 months. We provide regular updates to ensure alignment.
How much does data analytics cost, and what is your pricing model?
Costs depend on project complexity, data volume, and customization, typically ranging from $5,000 for basic analyses to $50,000+ for enterprise solutions. We offer flexible models like fixed-price projects, hourly consulting (around $150-300/hour), or subscription-based ongoing support to fit your budget and needs.
What is data analytics, and how can it benefit my business?
Data analytics involves collecting, processing, and interpreting data to uncover insights, patterns, and trends that inform decision-making. For your business, it can drive growth by optimizing operations, improving customer experiences, reducing costs, and identifying new opportunities—such as predicting market trends or personalizing marketing strategies.
What types of data analytics services do you offer?
We provide a range of services including descriptive analytics (to understand past performance), diagnostic analytics (to identify causes of issues), predictive analytics (to forecast future outcomes using AI and machine learning), and prescriptive analytics (to recommend actions). This could include dashboard development, data visualization, big data processing, and custom AI solutions tailored to your industry.
How do you ensure data security and privacy?
We prioritize data security by complying with standards like GDPR, HIPAA, and ISO 27001, using encryption, access controls, and regular audits. All client data is handled confidentially, with secure cloud storage and anonymization techniques to protect sensitive information throughout the analytics process.
What is the typical process and timeline for a data analytics project?
Our process starts with a consultation to define goals, followed by data collection, cleaning, analysis, and reporting with actionable insights. Timelines vary by project scope—simple dashboards might take 2-4 weeks, while complex predictive models could span 2-6 months. We provide regular updates to ensure alignment.
How much does data analytics cost, and what is your pricing model?
Costs depend on project complexity, data volume, and customization, typically ranging from $5,000 for basic analyses to $50,000+ for enterprise solutions. We offer flexible models like fixed-price projects, hourly consulting (around $150-300/hour), or subscription-based ongoing support to fit your budget and needs.
What is data analytics, and how can it benefit my business?
Data analytics involves collecting, processing, and interpreting data to uncover insights, patterns, and trends that inform decision-making. For your business, it can drive growth by optimizing operations, improving customer experiences, reducing costs, and identifying new opportunities—such as predicting market trends or personalizing marketing strategies.
What types of data analytics services do you offer?
We provide a range of services including descriptive analytics (to understand past performance), diagnostic analytics (to identify causes of issues), predictive analytics (to forecast future outcomes using AI and machine learning), and prescriptive analytics (to recommend actions). This could include dashboard development, data visualization, big data processing, and custom AI solutions tailored to your industry.
How do you ensure data security and privacy?
We prioritize data security by complying with standards like GDPR, HIPAA, and ISO 27001, using encryption, access controls, and regular audits. All client data is handled confidentially, with secure cloud storage and anonymization techniques to protect sensitive information throughout the analytics process.
What is the typical process and timeline for a data analytics project?
Our process starts with a consultation to define goals, followed by data collection, cleaning, analysis, and reporting with actionable insights. Timelines vary by project scope—simple dashboards might take 2-4 weeks, while complex predictive models could span 2-6 months. We provide regular updates to ensure alignment.
How much does data analytics cost, and what is your pricing model?
Costs depend on project complexity, data volume, and customization, typically ranging from $5,000 for basic analyses to $50,000+ for enterprise solutions. We offer flexible models like fixed-price projects, hourly consulting (around $150-300/hour), or subscription-based ongoing support to fit your budget and needs.
© 2025 Neo Analytica. All rights reserved.