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6
years on the market
73%
new clients come from referrals
510+
finished projects
80+
software engineers
Services we offer
- 01Business Analytics
> BUSINESS ANALYTICS FOUNDATIONS <
SoftDoes works with San Francisco companies to define KPIs, clean data sources, and connect them into one analytics environment. Our team designs metric definitions that prevent conflicting reports and enable data driven decision making across departments. We configure data integration pipelines and basic data governance rules so reporting remains dependable as tools change. Our technicians review current business intelligence tools and tune them or recommend better fitting options.
- Metric modeling
- Dashboard architecture
- Validation workflows
- Data quality checks
- Reporting ownership
> ADVANCED BUSINESS ANALYTICS <
How can San Francisco teams move beyond basic dashboards into predictive analytics and diagnostic data analysis? SoftDoes uses machine learning, scenario modeling, cohort analysis, and historical data to reveal what affects retention, customer lifetime value, and sales cycle length. Advanced analytics allow companies to pivot rapidly based on real time consumer and market behavior rather than relying on intuition. When speed matters, we add real time analytics, stream processing, and event driven architecture.
- Predictive models
- Experiment analysis
- Cohort tracking
- Operational analytics
Predictive analytics forecasts future trends or outcomes based on historical data, allowing businesses to manage risks and make informed decisions. Organizations use predictive analytics to anticipate trends or challenges and take preemptive actions, such as detecting and preventing fraud in financial institutions. By analyzing large volumes of real time data, predictive analytics can help utility companies predict energy consumption patterns, improving operational efficiency.
- 02IT Consulting
> CLEAR ARCHITECTURE FIRST <
Our IT Consulting maps current systems, identifies data fragmentation, and creates a roadmap toward integrated analytics. San Francisco companies often need guidance on warehouses, data integration tools, data governance frameworks, and business intelligence choices without vendor lock in. We document architecture diagrams, decision tradeoffs, and risks in plain language. This work helps leaders modernize systems while keeping consistent metrics.
- System audits
- Architecture maps
- Vendor evaluation
- Governance planning
- Stakeholder alignment
- 03Digital Transformation
> FROM MANUAL REPORTING TO MODERN DATA <
Digital Transformation at SoftDoes turns legacy reporting into cloud based analytics ecosystems. We replace fragile spreadsheets with automated data pipelines, governed dashboards, and real time monitoring where needed. Real time analytics refers to collecting and analyzing streaming data as it is generated, with minimal latency between data generation and analysis, enabling timely decision making. Real time analytics is critical for organizations that need fast, data driven decisions, using stream processing and event driven architecture for up to date insights.
- Warehouse modernization
- Automated reporting
- Legacy data migration
- Real time data pipelines
- Governance controls
- 04Product Management & Product Ownership
> PRODUCT DECISIONS WITH EVIDENCE <
Our Product Management and Product Ownership work connects strategy to measurable business objectives. San Francisco product leaders use our support to define activation, retention, adoption, customer satisfaction, and feature level metrics. We help teams test ideas with statistical significance instead of vanity reporting. Personalized marketing campaigns that leverage customer data can significantly enhance customer engagement by creating tailored experiences that match individual preferences. Recommendation algorithms based on user behavior can reduce customer churn by continuously engaging users with content that fits their interests.
- Discovery workshops
- KPI frameworks
- Experiment design
- Backlog prioritization
- Performance reviews
- 05Database Design & Development
> DATA MODELS THAT SUPPORT ANALYTICS <
Database Design and Development gives analytics a clear foundation. SoftDoes designs transactional and analytical stores with normalization, denormalization, indexing, and partitioning in mind. Our team handles integrating data into warehouses for business intelligence workloads and real time data analysis. We tune queries, manage backup routines, and protect data quality so leaders can trust the morning report.
- Schema design
- Query tuning
- Warehouse modeling
- Index strategy
- Backup planning
- 06Code Audits
> FIND THE ERRORS BEFORE THEY SPREAD <
Code Audits examine SQL, transformation logic, orchestration jobs, and dashboard configurations. SoftDoes finds incorrect joins, missing edge cases, silent data loss, weak tests, and slow queries that undermine data driven decisions. We document issues clearly and rank fixes by risk. The review can cover machine learning models, ELT jobs, BI tools, and embedded analytics.
- SQL review
- Pipeline testing
- Error handling
- Performance tuning
- Logic documentation
> BUSINESS ANALYTICS FOUNDATIONS <
SoftDoes works with San Francisco companies to define KPIs, clean data sources, and connect them into one analytics environment. Our team designs metric definitions that prevent conflicting reports and enable data driven decision making across departments. We configure data integration pipelines and basic data governance rules so reporting remains dependable as tools change. Our technicians review current business intelligence tools and tune them or recommend better fitting options.
- Metric modeling
- Dashboard architecture
- Validation workflows
- Data quality checks
- Reporting ownership
> ADVANCED BUSINESS ANALYTICS <
How can San Francisco teams move beyond basic dashboards into predictive analytics and diagnostic data analysis? SoftDoes uses machine learning, scenario modeling, cohort analysis, and historical data to reveal what affects retention, customer lifetime value, and sales cycle length. Advanced analytics allow companies to pivot rapidly based on real time consumer and market behavior rather than relying on intuition. When speed matters, we add real time analytics, stream processing, and event driven architecture.
- Predictive models
- Experiment analysis
- Cohort tracking
- Operational analytics
Predictive analytics forecasts future trends or outcomes based on historical data, allowing businesses to manage risks and make informed decisions. Organizations use predictive analytics to anticipate trends or challenges and take preemptive actions, such as detecting and preventing fraud in financial institutions. By analyzing large volumes of real time data, predictive analytics can help utility companies predict energy consumption patterns, improving operational efficiency.
PRODUCTS BUILT ACROSS INDUSTRIES
Finance
Finance teams use data analytics for risk, performance, and operations. SoftDoes links transaction systems, reporting tools, and feedback into governed business intelligence with audit trails and access control.
Healthcare
Operational teams rely on data quality for planning, resource use, and experience tracking. SoftDoes connects clinical, operational, and satisfaction systems so leaders can compare wait times and service trends clearly.
Education
Education groups use analytics to understand learner journeys, resource use, and program results. SoftDoes connects learning platforms, enrollment tools, and feedback channels into trusted dashboards.
Construction
Project teams use business intelligence to track cost, schedule, safety indicators, and field activity. SoftDoes connects planning tools, financial systems, and field apps into one analytics layer.
Technology
Technology teams often have high data volume but scattered tools. SoftDoes improves data quality, rationalizes BI tools, and creates governed metric logic for product and operations teams.
Startups
Startups need lean analytics that still holds up under scrutiny. SoftDoes helps early teams define core metrics, automate key dashboards, and prevent reporting chaos from data integration gaps.
Compliance
Compliance focused organizations need data governance, lineage, auditability, and controlled access. SoftDoes separates sensitive analytics data from general reporting while keeping logic traceable.
Energy
Energy teams use data integration to monitor assets, usage, reliability, and anomalies. SoftDoes connects sensor data, planning systems, and dashboards with near real time analytics where needed.
Transparency at each stage
Discovery & Alignment
We audit your infrastructure and goals to find technical debt and create a clear, scalable transformation roadmap.
Technical Strategy
Senior engineers select optimal stacks and patterns, ensuring architectural reasoning for long-term scalability.
Iterative Development
Step-by-step solution detailing with regular demos of diagrams and docs to track every milestone as it happens.
Careful Validation
We conduct risk assessments and compliance audits to ensure the stability and viability of the future system.
Implementation Support
Full architectural oversight and team support during rollout to ensure precise execution of the designed vision.
Numbers Don’t Lie
Recent projects showcasing how we design, engineer, and deliver production-ready software solutions.

WHAT IT WAS LIKE TO BUILD TOGETHER
Direct feedback from founders and product owners – including our partners right here in San Francisco, CA – after shipping, scaling, and maintaining real production systems.
WHAT CHANGED IN PRACTICE
Clients didn’t stay because of promises. They stayed because delivery became predictable, ownership was clear, and the product kept moving forward after launch.
- 01Direct Access to Senior Engineers
Clients work directly with senior engineers who own architecture and analytics decisions. That shortens communication and reduces translation errors between strategy and implementation. Our engineers understand data analysis, database tradeoffs, and business intelligence expectations. We use joint schema reviews, shared backlog tools, and direct technical notes. You get answers from the people doing the work. The result is cleaner metric logic and fewer surprises.
- 02Predictable Delivery
SoftDoes uses clear milestones and small, testable increments. We raise access, dependency, data integration, or data quality issues early. Assumptions and decisions are written down so stakeholders can follow the path. Weekly check ins, preview dashboard environments, and metric change notes keep work visible. Predictability supports consistent metrics because changes are reviewed before they reach reporting. It also helps teams plan around real constraints.
- 03Built to Last Past Launch
Analytics work should not collapse after the first release. SoftDoes creates documentation, naming standards, automated tests, and monitoring for data pipelines. We avoid fragile one time scripts where modular components are safer. Alerts track data quality and pipeline health before business intelligence tools show bad numbers. Data governance is part of the architecture, not a late cleanup task. That protects data driven decision making over time.
- 04No Babysitting Required
Internal teams should not have to micromanage our engineers. SoftDoes tracks dependencies, reviews change impact, and validates analytics outputs. We surface options with tradeoffs instead of waiting for direction on every detail. Communication stays proactive and specific. This reduces overhead for leaders who already manage complex data analytics work. It also keeps business intelligence tools aligned with real operating needs.
Frequently Asked Questions
How is communication handled in data analytics projects?
We use video calls, shared documents, project tools, and decision logs. Regular updates cover progress, blockers, data integration status, and data quality risks. Meetings are focused and technical when needed. We align with San Francisco time zones and keep escalation paths clear. Business intelligence updates can include dashboard previews so non technical stakeholders see progress.
What types of projects are a good fit for SoftDoes when data fragmentation is the issue?
Good fits include analytics platform launches, warehouse modernization, metric standardization, code audits, and dashboard rebuilds. We work on short targeted efforts and larger digital transformation programs. Common triggers include outgrowing spreadsheets, repeated reporting conflicts, or new products needing consistent metrics. We can join a partly complete project and correct direction. The main requirement is a real technical problem worth solving.
Do you handle independent audits or only end to end consulting for data governance?
SoftDoes handles both. We can audit schemas, transformations, data pipelines, dashboard logic, and business intelligence tools. The audit looks for data quality issues, weak governance, missing tests, and unclear metric ownership. Findings are written in plain language with priorities. If requested, our engineers can also handle follow up implementation.
How do you handle scope and changes in data driven decision making work?
We manage change through documented impact on scope, timeline, dependencies, and risk. Early data analytics findings often reveal better questions, so some flexibility is useful. New ideas are compared with the original business objectives. Metric definitions and data integration plans are updated carefully so reporting remains coherent. Stakeholders see tradeoffs before work changes direction.
Do you offer implementation oversight after the strategy is ready for data quality work?
Yes. SoftDoes can stay involved when internal teams or other partners execute parts of the plan. Oversight can include code reviews, dashboard validation, data quality checks, and governance review. This reduces the gap between strategy and live analytics systems. We can meet periodically or act as an ongoing technical advisor. The format depends on risk and team capacity.
Will we own the code and IP for business intelligence work?
Yes. Clients own the custom code, configurations, and documentation created for the engagement. SoftDoes uses open standards where practical so teams can continue work later. We document analytical models, metric logic, and data integration flows. Third party tools remain subject to their own licenses. We help clients understand those limits before decisions are made.
What makes SoftDoes different from a typical agency using business intelligence tools?
SoftDoes keeps decisions close to senior engineers. We avoid oversized teams and unnecessary process layers. The work is oriented around trusted dashboards, reduced data fragmentation, and fewer reporting disputes. Pair reviews on metric logic and automated tests for important data flows are normal practices. Consistent metrics matter more than attractive screens.
How do you price projects involving data analytics?
We do not use one generic model for every engagement. Effort depends on complexity, data integration scope, governance needs, tool choices, and ongoing support expectations. Clearly bounded analytics work can use a fixed outcome structure. Larger modernization programs usually need a phased arrangement. Estimates include assumptions so changes can be discussed transparently.
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How I Built SoftDoes. From Solo Developer to Custom Software Development Company
In 2019, I was a freelance software engineer working from a small apartment in Ukraine. Today, I lead SoftDoes, a 70+ person AI focused custom software development company headquartered in Kansas City, Missouri. This is the story of how I built it, project by project, client by client, through a war and across continents.
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