Frequently Asked Questions
Real questions from prospects like you, with honest answers
Real questions from prospects like you, with honest answers
Pricing and Investment
Our project-based engagements typically range from $10,000-18,000 for comprehensive analytics implementations over 3-6 months. Investment depends on:
• Number of data sources to integrate
• Complexity of your current systems
• Scope of analysis and reporting needs
• Level of historical data cleanup required
We provide transparent, fixed-project pricing after understanding your specific needs - no hourly billing or scope creep.
A qualified data analyst costs $80-120K annually plus benefits. Our comprehensive project delivers a complete analytics system for a fraction of that cost, typically providing 2-3 years of value from the initial investment.
We work in phases with clear milestones. You see progress throughout the engagement and can provide feedback at each stage. If we're not meeting expectations, we'll adjust the approach or discuss alternatives.
Technical Integration
We work with the most common business systems, including:
Accounting: QuickBooks, Xero, Sage, NetSuite
CRM: Salesforce, HubSpot, Pipedrive, Zoho
E-commerce: Shopify, WooCommerce, Magento
Databases: SQL Server, MySQL, PostgreSQL
Files: Excel, CSV, Google Sheets
Integration complexity and timeline vary depending on available options: native Power BI connectors (fastest), API integration (most common), or custom solutions (for specialized systems). For complex integrations, we may recommend additional automation tools like Zapier, Make, or n8n to bridge systems effectively.
We'll assess your specific systems and recommend the optimal approach.
That's exactly what we specialize in fixing, but we're upfront about the time it takes. Data cleanup can range from simple standardization to complex multi-system integration.
After our initial assessment, we'll tell you:
Exactly what data issues we found
Realistic timeline for cleanup (typically 2-8 weeks depending on complexity)
Which problems we can solve vs. which require business process changes
Phased approach so you see progress along the way
Common scenarios:
Light cleanup (formatting, duplicates): 1-2 weeks additional time
Moderate cleanup (multiple systems, some manual processes): 3-4 weeks additional time
Heavy cleanup (legacy systems, significant manual intervention needed): 5-8 weeks additional time
No technical skills required. We design everything so non-technical people can easily:
View and understand dashboards
Drill down into details with simple clicks
Export data when needed
Get alerts when something needs attention
We include training for your team and ongoing support. If someone can use Excel, they can use what we build.
Process and Timeline
Immediate wins (Week 1-3): We assess your data landscape and define requirements
First dashboards (4-8 weeks): Timeline varies based on complexity:
Simple setups (1-2 clean systems): 4-6 weeks
Typical businesses (multiple systems, some data issues): 6-10 weeks
Complex environments (many systems, significant data cleanup needed): 10-16
Testing & Training (Final 2 weeks): System testing, team training, and documentation
We'll provide a realistic timeline after understanding your specific situation.
During the project: Your availability is important across initial interviews in order to make sure we build the right thing, and periodic feedback sessions during implementation.
After completion: Minimal ongoing involvement - the systems work automatically.
You receive everything needed to operate independently:
Complete system documentation and process guides
All login credentials and access rights
Comprehensive training for your internal teams
Detailed documentation of all tools and processes we've created
We equip your team to maintain and operate the systems we build. Many clients operate independently after project completion, though we're available for ongoing support and maintenance if needed.
Data Security
We follow enterprise-grade security practices to protect your business data:
Legal & Process Protection:
Non-Disclosure Agreements (NDAs) signed before any data access
Access is limited to project team members only
Data deletion protocols after project completion
Compliance:
Industry-specific requirements handled case-by-case basis
Additional security measures are available for regulated industries
Getting Started
For the initial consultation:
• Brief description of your business and main challenges
• What systems you currently use for data
• Biggest questions you wish you could answer about your business using data
For the project:
• Access to your data systems (we'll specify exactly what's needed)
• Time with key stakeholders to understand priorities
• Examples of current reports you create manually
This is perfect if you:
• Spend significant time on manual reporting or data analysis
• Make important decisions with incomplete information
• Have data in multiple systems that don't talk to each other
• Want to grow but need better visibility into what's working
This might not be right if you:
• Need only one-time analysis (not ongoing reporting)
• Have a full internal analytics team already
• Are very satisfied with your current reporting
• Don't have at least 6 months of business data
Book a free diagnostic call where we'll:
Assess your current situation - what's working, what's not
Identify opportunities - areas where analytics could help most
Outline potential approach - high-level project scope and timeline
Discuss investment - transparent pricing based on your specific needs
Schedule Your Free Diagnostic Call
No sales pitch, no pressure - just an honest assessment of whether we can help your specific situation.ituation.