schedule A cALL

The Most Trusted Brand in Analytics

DataSnap builds, manages, and scales elite data engineering and analytics teams—so you don’t have to.

schedule A cALL

Enterprise Analytics. No Headcount Required.

Maintaining an internal analytics team is expensive, time-consuming, and operationally risky. Between rising salaries, turnover, and shifting technical demands, scaling with full-time talent can become a barrier to growth.

DataSnap offers an alternative: a fully managed analytics function that delivers reliable, high-impact data solutions without the complexity or cost of internal hiring. We help you do more—with less.

Reduce analytics operating costs by up to 70%

Scale insights and support without increasing headcount

Eliminate recruiting, training, and churn cycles

Standardized delivery, clear SLAs, and continuous coverage

Comprehensive Data Solutions, Designed for Scale

DataSnap combines deep technical expertise with a streamlined delivery model to help organizations centralize data, improve visibility, and unlock business-critical insights.

Data Engineering

  • End-to-end pipeline development (ETL/ELT)
  • Cloud warehouse optimization (Snowflake, BigQuery, Redshift)
  • dbt, Airflow, and orchestration best practices

Analytics & Business Intelligence

  • Executive dashboards and automated reporting
  • KPI frameworks and centralized performance tracking
  • Cross-functional enablement across departments

Advanced Modeling & Forecasting

  • LTV, churn, and retention modeling
  • Growth cohort analysis and funnel insights
  • Forecasting to support pricing, supply, and planning

Strategic Support

  • Dynamic pricing infrastructure
  • Experimentation frameworks (A/B, multivariate)
  • Data activation for consulting or GTM initiatives

Reduce Spend. Increase Visibility. Deliver Faster.

We built DataSnap to solve the economic inefficiency of traditional analytics hiring. Our clients get the technical coverage of a full-stack analytics team—at a significantly lower cost than hiring, managing, and retaining full-time roles.

Cost Comparison Table:

In-House Team

DataSnap

Roles Needed

3 Analysts + 3 Engineers

Fully managed analytics pod

Annual Compensation

$900,000+

Overhead & Benefits

$200,000+

-

Total Annual Cost

$1.1M+

$170k - $400K

Hiring & Onboarding

3 - 6 Months

2-4 weeks

Risk of Turnover

High

None

PTO / Leave Gaps

Frequent

Zero downtime

Technical Breadth

Varies by hire

Full stack, current technologies

Scalability

Headcount dependent

Elastic capacity

Analytics That Power Real Business Outcomes

1

Discovery & Planning

We evaluate your analytics environment, key needs, and business objectives.

2

Setup & Team Alignment

We integrate with your tools and cadence, launching with a one-time setup fee ($50K–$100K).

3

Monthly Support & Delivery

Our team provides continuous execution under a monthly retainer ($10K–$25K), with reporting, sprint cycles, and outcome tracking.

4

Scalable Expansion

Need more support? Ramp capacity without opening a single job req.

Analytics That Power Real Business Outcome

  • Centralizing fragmented data sources into unified reporting
  • Automating dashboards for executive and departmental use
  • Building predictive models for customer and revenue planning
  • Supporting consultants with clean, ready-to-analyze data
  • Accelerating GTM analytics for product or feature rollouts

Built for Modern, Scalable Organizations

We work with companies that demand high-quality data execution without the delays or cost of expanding internal teams.

From growth-stage startups to multi-brand enterprises, we’ve helped teams in:

  • SaaS & Technology
  • Health & Wellness
  • Consumer Products & Retail
  • Financial Services
  • Subscription & Franchise Models

Smarter Analytics Starts Here

We’ll build a custom proposal based on your current stack, support needs, and business

goals—so you can scale insight delivery without scaling cost.

Request a Proposal

Case Studies

Transforming Revenue Strategy for a Global Fitness Brand

DataSnap restructured pricing models and built a full-stack Tableau dashboard ecosystem, enabling a 5% lift in system-wide revenue—equating to over $90M in growth. A custom loyalty program further drove $30M+ in incremental member revenue.

Unlocking New Revenue at a Digital Health Platform

Partnering with a pharmacy-tech company, DataSnap developed real-time analytics products that opened new revenue streams by delivering insights directly to pharmaceutical manufacturers—monetizing data that was previously underused.

Building Global Analytics Infrastructure for a Unicorn Startup

DataSnap deployed a scalable data warehouse and visualization suite to replace fragmented reporting across departments. This backbone supported global expansion, improved operational decision-making, and contributed to a $1B+ valuation round.

Optimizing Customer Acquisition in Real Estate

By deploying a predictive algorithm, DataSnap reduced acquisition costs by up to 80% for a real estate startup. The insights also helped close $15M+ in deals within months, proving the power of data-led targeting.

GET IN TOUCH

Enterprise analytics. No headcount required.

schedule A cALL

The Most Trusted Brand in Analytics

DataSnap builds, manages, and scales elite data engineering and analytics teams—so you don’t have to.

schedule A cALL

Enterprise Analytics. No Headcount Required.

Maintaining an internal analytics team is expensive, time-consuming, and operationally risky. Between rising salaries, turnover, and shifting technical demands, scaling with full-time talent can become a barrier to growth.

DataSnap offers an alternative: a fully managed analytics function that delivers reliable, high-impact data solutions without the complexity or cost of internal hiring. We help you do more—with less.

Reduce analytics operating costs by up to 70%

Scale insights and support without increasing headcount

Eliminate recruiting, training, and churn cycles

Standardized delivery, clear SLAs, and continuous coverage

Comprehensive Data Solutions, Designed for Scale

DataSnap combines deep technical expertise with a streamlined delivery model to help organizations centralize data, improve visibility, and unlock business-critical insights.

Data Engineering

  • End-to-end pipeline development (ETL/ELT)
  • Cloud warehouse optimization (Snowflake, BigQuery, Redshift)
  • dbt, Airflow, and orchestration best practices

Analytics & Business Intelligence

  • Executive dashboards and automated reporting
  • KPI frameworks and centralized performance tracking
  • Cross-functional enablement across departments

Advanced Modeling & Forecasting

  • LTV, churn, and retention modeling
  • Growth cohort analysis and funnel insights
  • Forecasting to support pricing, supply, and planning

Strategic Support

  • Dynamic pricing infrastructure
  • Experimentation frameworks (A/B, multivariate)
  • Data activation for consulting or GTM initiatives

Reduce Spend. Increase Visibility. Deliver Faster.

We built DataSnap to solve the economic inefficiency of traditional analytics hiring. Our clients get the technical coverage of a full-stack analytics team—at a significantly lower cost than hiring, managing, and retaining full-time roles.

Cost Comparison Table:

In-House Team

DataSnap

Roles Needed

3 Analysts + 3 Engineers

Fully managed analytics pod

Annual Compensation

$900,000+

Overhead & Benefits

$200,000+

-

Total Annual Cost

$1.1M+

$170k - $400K

Hiring & Onboarding

3 - 6 Months

2-4 weeks

Risk of Turnover

High

None

PTO / Leave Gaps

Frequent

Zero downtime

Technical Breadth

Varies by hire

Full stack, current technologies

Scalability

Headcount dependent

Elastic capacity

Analytics That Power Real Business Outcomes

1

Discovery & Planning

We evaluate your analytics environment, key needs, and business objectives.

2

Setup & Team Alignment

We integrate with your tools and cadence, launching with a one-time setup fee ($50K–$100K).

3

Monthly Support & Delivery

Our team provides continuous execution under a monthly retainer ($10K–$25K), with reporting, sprint cycles, and outcome tracking.

4

Scalable Expansion

Need more support? Ramp capacity without opening a single job req.

Analytics That Power Real Business Outcome

  • Centralizing fragmented data sources into unified reporting
  • Automating dashboards for executive and departmental use
  • Building predictive models for customer and revenue planning
  • Supporting consultants with clean, ready-to-analyze data
  • Accelerating GTM analytics for product or feature rollouts

Built for Modern, Scalable Organizations

We work with companies that demand high-quality data execution without the delays or cost of expanding internal teams.

From growth-stage startups to multi-brand enterprises, we’ve helped teams in:

  • SaaS & Technology
  • Health & Wellness
  • Consumer Products & Retail
  • Financial Services
  • Subscription & Franchise Models

Smarter Analytics Starts Here

We’ll build a custom proposal based on your current stack, support needs, and business

goals—so you can scale insight delivery without scaling cost.

Request a Proposal

Case Studies

Transforming Revenue Strategy for a Global Fitness Brand

DataSnap restructured pricing models and built a full-stack Tableau dashboard ecosystem, enabling a 5% lift in system-wide revenue—equating to over $90M in growth. A custom loyalty program further drove $30M+ in incremental member revenue.

Unlocking New Revenue at a Digital Health Platform

Partnering with a pharmacy-tech company, DataSnap developed real-time analytics products that opened new revenue streams by delivering insights directly to pharmaceutical manufacturers—monetizing data that was previously underused.

Building Global Analytics Infrastructure for a Unicorn Startup

DataSnap deployed a scalable data warehouse and visualization suite to replace fragmented reporting across departments. This backbone supported global expansion, improved operational decision-making, and contributed to a $1B+ valuation round.

Optimizing Customer Acquisition in Real Estate

By deploying a predictive algorithm, DataSnap reduced acquisition costs by up to 80% for a real estate startup. The insights also helped close $15M+ in deals within months, proving the power of data-led targeting.

GET IN TOUCH

Enterprise analytics. No headcount required.

schedule A cALL

The Most Trusted Brand in Analytics

DataSnap builds, manages, and scales elite data engineering and analytics teams—so you don’t have to.

schedule A cALL

Enterprise Analytics. No Headcount Required.

Maintaining an internal analytics team is expensive, time-consuming, and operationally risky. Between rising salaries, turnover, and shifting technical demands, scaling with full-time talent can become a barrier to growth.

DataSnap offers an alternative: a fully managed analytics function that delivers reliable, high-impact data solutions without the complexity or cost of internal hiring. We help you do more—with less.

Reduce analytics operating costs by up to 70%

Scale insights and support without increasing headcount

Eliminate recruiting, training, and churn cycles

Standardized delivery, clear SLAs, and continuous coverage

Comprehensive Data Solutions, Designed for Scale

DataSnap combines deep technical expertise with a streamlined delivery model to help organizations centralize data, improve visibility, and unlock business-critical insights.

Data Engineering

  • End-to-end pipeline development (ETL/ELT)
  • Cloud warehouse optimization (Snowflake, BigQuery, Redshift)
  • dbt, Airflow, and orchestration best practices

Analytics & Business Intelligence

  • Executive dashboards and automated reporting
  • KPI frameworks and centralized performance tracking
  • Cross-functional enablement across departments

Advanced Modeling & Forecasting

  • LTV, churn, and retention modeling
  • Growth cohort analysis and funnel insights
  • Forecasting to support pricing, supply, and planning

Strategic Support

  • Dynamic pricing infrastructure
  • Experimentation frameworks (A/B, multivariate)
  • Data activation for consulting or GTM initiatives

Reduce Spend. Increase Visibility. Deliver Faster.

We built DataSnap to solve the economic inefficiency of traditional analytics hiring. Our clients get the technical coverage of a full-stack analytics team—at a significantly lower cost than hiring, managing, and retaining full-time roles.

Cost Comparison Table:

In-House Team

DataSnap

Roles Needed

3 Analysts + 3 Engineers

Fully managed analytics pod

Annual Compensation

$900,000+

Overhead & Benefits

$200,000+

-

Total Annual Cost

$1.1M+

$170k - $400K

Hiring & Onboarding

3 - 6 Months

2-4 weeks

Risk of Turnover

High

None

PTO / Leave Gaps

Frequent

Zero downtime

Technical Breadth

Varies by hire

Full stack, current technologies

Scalability

Headcount dependent

Elastic capacity

Analytics That Power Real Business Outcomes

1

Discovery & Planning

We evaluate your analytics environment, key needs, and business objectives.

2

Setup & Team Alignment

We integrate with your tools and cadence, launching with a one-time setup fee ($50K–$100K).

3

Monthly Support & Delivery

Our team provides continuous execution under a monthly retainer ($10K–$25K), with reporting, sprint cycles, and outcome tracking.

4

Scalable Expansion

Need more support? Ramp capacity without opening a single job req.

FPO

Analytics That Power Real Business Outcome

  • Centralizing fragmented data sources into unified reporting
  • Automating dashboards for executive and departmental use
  • Building predictive models for customer and revenue planning
  • Supporting consultants with clean, ready-to-analyze data
  • Accelerating GTM analytics for product or feature rollouts

Built for Modern, Scalable Organizations

We work with companies that demand high-quality data execution without the delays or cost of expanding internal teams.

From growth-stage startups to multi-brand enterprises, we’ve helped teams in:

  • SaaS & Technology
  • Health & Wellness
  • Consumer Products & Retail
  • Financial Services
  • Subscription & Franchise Models

Smarter Analytics Starts Here

We’ll build a custom proposal based on your current stack, support needs, and business

goals—so you can scale insight delivery without scaling cost.

Request a Proposal

Case Studies

Transforming Revenue Strategy for a Global Fitness Brand

DataSnap restructured pricing models and built a full-stack Tableau dashboard ecosystem, enabling a 5% lift in system-wide revenue—equating to over $90M in growth. A custom loyalty program further drove $30M+ in incremental member revenue.

Unlocking New Revenue at a Digital Health Platform

Partnering with a pharmacy-tech company, DataSnap developed real-time analytics products that opened new revenue streams by delivering insights directly to pharmaceutical manufacturers—monetizing data that was previously underused.

Building Global Analytics Infrastructure for a Unicorn Startup

DataSnap deployed a scalable data warehouse and visualization suite to replace fragmented reporting across departments. This backbone supported global expansion, improved operational decision-making, and contributed to a $1B+ valuation round.

Optimizing Customer Acquisition in Real Estate

By deploying a predictive algorithm, DataSnap reduced acquisition costs by up to 80% for a real estate startup. The insights also helped close $15M+ in deals within months, proving the power of data-led targeting.

GET IN TOUCH

Enterprise analytics. No headcount required.