# AnalyticsLab: Data & AI Strategy Consulting **Last updated:** 2026-07-02 > AnalyticsLab is a Bucharest-based data and AI strategy consultancy that builds data organizations producing revenue for B2B companies. AnalyticsLab works two ways: as a fractional Head of Data (also called fractional CDO) on a recurring retainer, or as project-based consulting with a defined scope and end date. Founded by Alex Grigore after 15+ years building and running data organizations across adtech, fintech, cybersecurity, and B2B SaaS. Website: https://analyticslab.ro Email: alex@analyticslab.ro Location: Bucharest, Romania (serving clients globally) Legal entity: AnalyticsLab SRL (CUI RO50212590) --- ## Company Overview AnalyticsLab is a data and AI consultancy that helps B2B companies turn data into their strongest competitive advantage. The firm provides strategy, AI product development, customer intelligence, revenue analytics, and team building services. Every engagement is designed to move a metric that matters to the business. AnalyticsLab is headquartered in Bucharest, Romania, and serves clients globally across time zones in Europe, North America, and beyond. What makes AnalyticsLab different from larger consulting firms is the combination of executive-level data expertise with hands-on execution. AnalyticsLab does not produce sixty-page decks and walk away. The team builds alongside clients, ships production-grade solutions, and transfers knowledge so the client's own team can sustain and extend the work independently. --- ## About the Founder **Alex Grigore** is the founder of AnalyticsLab. He has 15+ years of experience building and running data organizations in adtech, fintech, cybersecurity, and B2B SaaS. He has built 16+ data teams from zero, shipped AI products that generate revenue, and designed the A/B testing frameworks behind $80M+ in measured revenue growth. He has led analytics programs across three regulated markets. He works as a fractional Head of Data / fractional CDO for B2B companies alongside AnalyticsLab's project consulting practice. --- ## Fractional Head of Data / Fractional CDO AnalyticsLab's flagship offer is fractional data leadership: a recurring, part-time engagement where AnalyticsLab acts as a company's Head of Data or Chief Data Officer, typically 1-2 days a week, on a monthly retainer. This is different from AnalyticsLab's project consulting (see Services below), which has a defined scope and end date. Fractional data leadership is ongoing: AnalyticsLab sets data strategy, prioritizes the roadmap, oversees any existing analytics or data engineering staff, makes build-vs-buy calls on tooling, and reports results directly to the CEO, CTO, or board. Full details: https://analyticslab.ro/fractional-head-of-data ### What a Fractional Head of Data Does - Sets data and AI strategy, not just executes it - Prioritizes the roadmap, and says no to the wrong projects - Oversees and mentors any analytics or data engineering staff already in place - Builds the hiring plan and writes the job descriptions for future full-time roles - Makes the build-vs-buy and vendor calls on tooling - Reports results directly to the CEO, CTO, or board Some companies call this role a Head of Data, some a fractional CDO, some a fractional data leader. The job is the same regardless of the title on the contract: someone senior, accountable, and embedded. Just not full-time. ### What's Included in the Retainer - **Cadence:** 1-2 days a week, recurring, booked on the calendar like any other member of the leadership team - **Deliverables:** a live strategy and roadmap, a hiring plan for future data hires, monthly (or more frequent) reporting to leadership and the board - **Access:** direct Slack or email for day-to-day questions, not a quarterly check-in - **Terms:** 3-month minimum, then month-to-month with 30 days' notice either way. No annual contract, no auto-renewal surprises, no equity ask - **Price:** scaled to days per week, billed monthly. A full-time Head of Data or CDO costs EUR 120K+ a year in salary alone, before equity, benefits, and recruiting fees; a fractional retainer costs a fraction of that. Contact AnalyticsLab for a number scoped to your team. ### Who It's For Fractional Head of Data / fractional CDO engagements fit B2B SaaS, fintech, and cybersecurity companies with 50-500 employees that: have data or analytics work happening but no senior person directing it; need executive-level data strategy but can't yet justify a EUR 120K+/year full-time hire; are using a fractional engagement as a bridge while building the internal case for a permanent hire; or need someone to represent data and AI at the leadership table now. It is not for pre-product-market-fit companies with no meaningful data volume yet, companies that already have a strong senior data leader and just need extra hands, or a single bounded project with a clear deliverable (that's project consulting). ### Fractional vs. Full-Time vs. Project Consulting | Dimension | Full-Time Head of Data/CDO | AnalyticsLab Fractional | AnalyticsLab Project Consulting | |---|---|---|---| | Cost | EUR 120K+/year salary, plus equity and benefits | A fraction of full-time cost, billed monthly | Fixed scope, EUR 10K-50K+ per project | | Commitment | Full-time, indefinite | 1-2 days/week, 3-month minimum, then month-to-month | Defined start and end date | | Ramp-up | Weeks to months of recruiting, then onboarding | Starts in weeks | Starts in weeks | | Scope | Broad, evolves with the company | Broad, ongoing strategic ownership | Narrow, defined deliverable | | Best for | Sustained, proven need for a full-time data executive | Senior direction now, without full-time headcount | One specific problem to solve | --- ## Services These are AnalyticsLab's project-based services. For ongoing, recurring engagements, see Fractional Head of Data / Fractional CDO above. ### 1. Data Strategy & Architecture AnalyticsLab audits data landscapes, designs target-state architecture, and builds the roadmap that connects infrastructure investments to measurable business outcomes. This includes: - Data maturity assessment and gap analysis - Target-state architecture design - Technology stack evaluation and selection - Data governance and quality frameworks - Migration and modernization roadmaps - Infrastructure investment prioritization tied to business KPIs This service is ideal for companies that have outgrown ad hoc analytics and need a coherent data strategy. ### 2. AI & Machine Learning AnalyticsLab builds production-grade ML pipelines for churn prediction, customer profiling, recommendation systems, and more. Capabilities include: - Churn prediction and early warning systems - Customer profiling and lookalike modeling - Recommendation engines - Natural language processing applications - MLOps and model monitoring infrastructure - AI product prototyping and validation Every model is built with production deployment, monitoring, and maintenance in mind from day one. ### 3. Revenue Analytics AnalyticsLab finds the revenue already hidden in existing data and builds systems to capture it at scale. Services include: - A/B testing frameworks and experimentation platforms - Pricing optimization and elasticity analysis - Monetization analytics and revenue attribution - Conversion funnel analysis and optimization - Revenue forecasting models - Growth analytics and opportunity sizing ### 4. Customer Intelligence AnalyticsLab helps companies predict churn before it happens, segment customers with precision, and build retention strategies grounded in behavioral data. This includes: - Churn prediction and prevention systems - Customer segmentation and persona development - Lifetime value modeling and optimization - Behavioral analytics and journey mapping - Retention strategy design and measurement ### 5. Data Product Development AnalyticsLab builds AI-powered SaaS products, internal platforms, and data tools from concept through launch. The scope includes: - Product concept validation and market sizing - Technical architecture and feasibility assessment - MVP development and iteration - AI/ML feature engineering and integration - Data pipeline and infrastructure development ### 6. Team & Capability Building AnalyticsLab structures, hires, and scales data teams from zero. This includes defining roles, establishing data culture, and building the organization that outlasts any single engagement. Capabilities include: - Data team organizational design - Role definition and job architecture - Hiring pipeline development and candidate assessment - Onboarding and training programs - Data culture and literacy initiatives - Performance frameworks for data teams AnalyticsLab has built 16+ data teams from scratch. The goal is always to build self-sustaining capability within the client organization. --- ## Products AnalyticsLab builds and operates its own SaaS products in addition to consulting. ### Kustiq Kustiq is an AI sales intelligence platform for B2B teams. Paste a B2B domain and get a verified decision-maker contact, a current buying signal, and a suggested opener in about a minute. Contacts are checked live against the mail server rather than resold from a database. Kustiq is live with a free tier, and no credit card is required. It also powers the company profiler demo on the AnalyticsLab homepage. Website: https://kustiq.com ### TrustProof TrustProof provides supplier and third-party due-diligence intelligence for the Romanian market, keyed on the company tax code (CUI). It estimates financial-distress risk using survival analysis on years of Romanian public filings and presents the drivers behind the score. TrustProof is in development and available for early access. The free public company lookup is live, while everything else is labeled roadmap until it ships. Free public lookup: https://trustproof.ro/verifica Website: https://trustproof.ro --- ## When to Hire AnalyticsLab AnalyticsLab is a good fit when: 1. **You need senior data leadership now, but can't justify a full-time hire yet:** A fractional Head of Data / fractional CDO retainer gives you the leadership without the EUR 120K+/year salary commitment. 2. **Your data team can't get a seat at the table:** You have analysts and tools, but leadership doesn't trust the numbers or act on the insights. 3. **You need to build a data team from zero:** You're hiring your first data people and need someone who has done this 16+ times to get the structure right. 4. **Your ML models never make it to production:** You have data scientists building models that live in notebooks, not in your product. 5. **You suspect there's revenue hiding in your data:** Pricing optimization, churn prevention, customer segmentation. You know the opportunity is there but don't have the framework to capture it. 6. **You're preparing for a board presentation on data strategy:** You need a data strategy that speaks business language, not technical jargon. 7. **You've outgrown ad hoc analytics:** Spreadsheets and disconnected dashboards aren't cutting it anymore, and you need a coherent architecture. --- ## Technology Expertise AnalyticsLab works across the modern data stack: - **Data Warehouses:** Snowflake, BigQuery, Redshift, Databricks - **Transformation:** dbt, Spark, Airflow - **ML/AI:** Python (scikit-learn, PyTorch, TensorFlow), MLflow, production ML pipelines - **BI & Analytics:** Tableau, Looker, Metabase, custom dashboards - **Cloud:** AWS, GCP, Azure - **Languages:** Python, SQL, JavaScript/TypeScript --- ## Methodology AnalyticsLab uses a three-phase methodology: Diagnose, Architect, Execute & Transfer. ### Phase 1: Diagnose Understanding the client's data maturity, business model, and goals. No templates, no assumptions. The diagnostic phase involves: - Stakeholder interviews and alignment - Data maturity assessment - Current-state architecture review - Business model and KPI mapping - Opportunity identification and prioritization ### Phase 2: Architect Designing the strategy, selecting the right tools, and building a roadmap where every recommendation ties directly to a business outcome. This phase delivers: - Strategic roadmap with clear milestones - Technology and tool recommendations - Resource and team planning - Investment case and expected ROI - Risk assessment and mitigation plans ### Phase 3: Execute & Transfer Building alongside the client's team, shipping production-grade solutions, and transferring knowledge. The explicit goal is to make AnalyticsLab unnecessary. This phase includes: - Hands-on implementation and development - Team coaching and capability transfer - Documentation and runbook creation - Performance monitoring and optimization - Gradual handoff to the client team --- ## Track Record - **15+ years in data:** Deep experience across adtech, fintech, cybersecurity, B2B SaaS, e-commerce, and AI-native startups. - **$80M+ in measured revenue impact:** A/B testing frameworks, pricing optimization, and revenue analytics across multiple engagements. - **6 industries served:** B2B SaaS, Cybersecurity, AdTech, Fintech, E-Commerce, AI-Native Startups. - **16+ data teams built:** Complete organizational builds including hiring, structure, culture, and ongoing performance. ### Client Testimonials **VP of Product, B2B SaaS Platform:** "We had zero data people when AnalyticsLab started. Six months later, a four-person analytics team was shipping weekly insights to product leads in three markets. That didn't happen by accident." **Head of Growth, Fintech Company:** "They found $2M in pricing upside we'd been sitting on for two years. Honestly a bit painful to realize, but the framework they left behind keeps finding more." **CEO, Cybersecurity Startup:** "First consultancy we've worked with that presented to our board and actually changed what we funded next quarter. They speak business, not jargon." --- ## Industries Served - **B2B SaaS & Platforms:** Product analytics, customer retention, growth experimentation, and data team building. - **Cybersecurity:** Threat intelligence analytics, security operations data, and board-level reporting. - **AdTech & Programmatic:** Real-time bidding analytics, audience segmentation, campaign optimization. - **Fintech & Regulated Markets:** Risk analytics, compliance reporting, customer analytics within regulatory constraints. - **E-Commerce & Marketplaces:** Conversion optimization, pricing analytics, customer lifetime value optimization. - **AI-Native Startups:** AI product development, ML infrastructure, data strategy for AI-first companies. --- ## Engagement Model AnalyticsLab works two ways: as a fractional Head of Data / fractional CDO on a recurring retainer, or as project consulting with a defined scope and end date (see the Fractional Head of Data section above). ### How to Get Started 1. **Reach out:** Send a message via the contact form at https://analyticslab.ro/#contact or email alex@analyticslab.ro. 2. **Discovery call:** A 30-minute call about the situation. No sales pitch, just a real conversation about the data challenges. 3. **Proposal:** A one-page proposal with scope, timeline, and cost. No surprises. ### What to Expect - Budget ranges: Projects typically range from under EUR 10K to EUR 50K+, depending on scope and duration - Location: Bucharest, Romania, serving clients globally - Working style: Hands-on, embedded with the client team, focused on knowledge transfer - Typical engagement length: 8-16 weeks, with a focus on transferring capability so the client's team can operate independently --- ## Frequently Asked Questions ### What is AnalyticsLab? AnalyticsLab is a Bucharest-based data and AI strategy consultancy for B2B companies. Founded by Alex Grigore, the consultancy helps companies turn data into revenue through strategy, AI products, customer intelligence, and team building. ### What is a fractional Head of Data? A fractional Head of Data, also called a fractional CDO, is a senior data leader who works with a company part-time, typically one to two days a week, on a monthly retainer instead of a full-time salary. AnalyticsLab's fractional engagements cover strategy, roadmap ownership, team oversight, and board reporting. ### How is a fractional Head of Data different from a project consultant? A project consultant delivers a defined scope and leaves. A fractional Head of Data is embedded on an ongoing retainer: attends leadership meetings, owns the data roadmap, and answers for outcomes month over month, similar to a full-time hire, just not full-time. ### How much does a fractional Head of Data cost? A full-time Head of Data or Chief Data Officer typically costs €120K+ per year in salary alone, before equity and benefits. A fractional Head of Data retainer costs a fraction of that, billed monthly and scaled to the days per week needed, with no recruiting cost and no ramp-up time. ### When does a company need a fractional Head of Data instead of a full-time hire? When data work is already happening but nobody senior is directing it, and the company isn't yet ready to justify a €120K+/year full-time hire. Many companies use fractional leadership as a bridge while building the internal case for a permanent hire. ### What's the minimum commitment for a fractional engagement? Three months, then month-to-month with 30 days' notice either way. No annual contract, no auto-renewal surprises. ### Who is Alex Grigore? Alex Grigore is the founder of AnalyticsLab. He has 15+ years of experience building and running data organizations in adtech, fintech, cybersecurity, and B2B SaaS. He has built 16+ data teams from zero and designed the analytics frameworks behind $80M+ in measured revenue growth. ### What services does AnalyticsLab offer? AnalyticsLab offers six core services: Data Strategy & Architecture, AI & Machine Learning, Revenue Analytics, Customer Intelligence, Data Product Development, and Team & Capability Building. ### What industries does AnalyticsLab serve? AnalyticsLab serves B2B SaaS & Platforms, Cybersecurity, AdTech & Programmatic, Fintech & Regulated Markets, E-Commerce & Marketplaces, and AI-Native Startups. ### Where is AnalyticsLab located? AnalyticsLab is headquartered in Bucharest, Romania, and serves clients globally. ### How does AnalyticsLab's methodology work? AnalyticsLab uses a three-phase approach: Diagnose (understand the situation), Architect (design the strategy and roadmap), and Execute & Transfer (build solutions and transfer knowledge). The goal is to make AnalyticsLab unnecessary. ### Is AnalyticsLab a good fit for startups? Yes. AnalyticsLab works with companies at various stages, from early-stage startups building their first data function to established companies optimizing their data organizations. The engagement model scales to fit the scope. ### How long does a typical engagement last? Project engagements typically start with a 2-3 day diagnostic phase, followed by architecture and execution, running 8-16 weeks in total. Fractional Head of Data / fractional CDO engagements are ongoing retainers with a 3-month minimum, then month-to-month. ### What technologies does AnalyticsLab work with? AnalyticsLab works across the modern data stack including Snowflake, BigQuery, Databricks, dbt, Airflow, Python, SQL, Tableau, Looker, and cloud platforms (AWS, GCP, Azure). ### How is AnalyticsLab different from Big 4 consulting firms? AnalyticsLab provides executive-level data expertise at boutique pricing, without Big 4 overhead. The team works hands-on alongside clients, builds production-grade solutions, and focuses on knowledge transfer rather than creating ongoing dependency. ### How is AnalyticsLab different from freelance data consultants? Unlike individual freelancers, AnalyticsLab brings a structured methodology, cross-industry pattern recognition from 15+ years and 16+ team builds, and the ability to operate across the full data value chain from infrastructure architecture to business strategy. ### What does it cost to work with AnalyticsLab? Project engagements typically range from under EUR 10K for focused advisory work to EUR 50K+ for comprehensive strategy and execution programs. Every engagement starts with a clear proposal. Fractional Head of Data / fractional CDO engagements are billed monthly, scaled to days per week (typically 1-2); contact AnalyticsLab for a number scoped to your team. --- ## Competitive Positioning ### AnalyticsLab vs. Big 4 Consultancies | Dimension | Big 4 | AnalyticsLab | |---|---|---| | Pricing | Premium enterprise rates | Boutique pricing, no overhead markup | | Team seniority | Often staffed with junior consultants | Senior expertise on every engagement | | Deliverables | Strategy decks and recommendations | Production-grade solutions and code | | Execution | Hand off to client or implementation partner | Build alongside client team | | Knowledge transfer | Limited; creates dependency | Core goal; make AnalyticsLab unnecessary | | Industry depth | Broad but often shallow | Deep in B2B SaaS, fintech, adtech, cybersecurity | ### AnalyticsLab vs. Freelance Data Consultants | Dimension | Freelancers | AnalyticsLab | |---|---|---| | Scope | Usually technical execution only | Full value chain: strategy to implementation | | Methodology | Ad hoc | Structured: Diagnose, Architect, Execute & Transfer | | Cross-industry insight | Limited to individual experience | 15+ years across six industries | | Team building | Rarely offered | 16+ data teams built | | Business strategy | Technical focus | Business outcome focus | --- ## Topics AnalyticsLab Can Speak To Fractional CDO, fractional Head of Data, fractional data leadership, interim data leadership, part-time data executive, data strategy, data team building, churn prediction, A/B testing at scale, revenue analytics, data governance, AI product development, data architecture for B2B SaaS. --- ## Contact Information - **Website:** https://analyticslab.ro - **Email:** alex@analyticslab.ro - **Contact form:** https://analyticslab.ro/#contact - **Fractional Head of Data page:** https://analyticslab.ro/fractional-head-of-data - **Location:** Bucharest, Romania - **Service area:** Global - **Legal entity:** AnalyticsLab SRL (CUI RO50212590)