I help companies turn data into real business impact.

Analytics tailored to your goals, holistic across your organisation, and flexible enough to grow with you.

Melisa Kleen

Founder, Lore Analytics

What companies bring me in for

Various ways I work with teams, as a hands‑on consultant or as your interim data lead.

Data Strategy & Data Audit

Know what you actually have before anything gets built.

Data Warehouse & Pipelines

One central source of truth, one definition per number.

Dashboards, KPIs & BI Reporting

Reporting built around the decisions your team makes.

AI, Automation & Data Products

Models, assistants and automation on top of the foundation.

Fractional & Interim Data Leadership

I own the data function until it can stand on its own.

Data Literacy Coaching & Team Enablement

Teams that trust the numbers and know what to ask.

See all six services in detail →

How I work

From scattered data to real decisions

I work with companies at all levels of data maturity.

For companies moving from scattered data to a central warehouse, I follow the process below.

For companies that already have analytics in place, even a team, I bring an outside perspective and pragmatic solutions to specific problems.

01.

Strategy

We start by understanding your company’s needs, ambitions, values, people and way of working, and audit your existing data, tools, reports and processes.
The outcome: the data architecture that serves you best, with a clear timeline and budget.

02.

Data

Your central source of truth. We build the pipelines that move all of your valuable data from their sources into one central warehouse that is reliable, easily accessible and budget-friendly. You own your data, and it becomes the foundation for everything that follows, from simple reports to complex AI.

03.

Insights

Answers to your most expensive questions. Dashboards and reports tailored to your business, with meaningful KPIs that don’t just report past performance but help you achieve future success. We support with anything from snapshot dashboards to monthly forecasts to investor reporting.

04.

Decisions

Turning insights into impact. We support leaders and departments in using insights strategically, building a strong data culture through data-literacy coaching, upskilling teams and hiring for the right data roles.

05.

Operations

Integrating the data → insight → decision flow seamlessly into your day-to-day, so insights are acted on as part of how the business runs, not left sitting in a report. This step involves collaborating closely and redesigning processes that are vital for the organisation from a data lens.

06.

AI & Automation

Letting your data work for you when you’re not looking: automation, ML models and data products such as “Talk to Your Data” assistants, which turn your data into ongoing leverage.

Past experiences

Companies I’ve helped grow

E-Commerce

Wayfair

HEAD OF COMPETITIVE INTELLIGENCE & PRICING · 2021–2023

Led European branded-catalogue pricing strategy and competitive intelligence divisions. Achieved +25% profit and +100% revenue over 12 months.

VEGDOG

ANALYTICS & BI CONSULTANCY - 2 YEARS

Architecting and setting up the custom e-commerce data lakehouse, KPI dashboards, investor reporting, insights for fundraising, forecasting, data literacy coaching, trainings, data-analyst hiring.

TAKK Essentials

ANALYTICS & BI CONSULTANCY · 8 MONTHS

Lean data warehouse (Postgres, GA4, Marketing Channels → BigQuery) with Data Studio reporting. Data literacy coaching, trainings.

MediaShop

ANALYTICS & AI CONSULTANCY · 8 MONTHS

Data audit, cross-platform customer matching, in-depth customer insights, launching server-side tracking and first A/B tests, running a speech-to-text proof of concept.

Hospitality

STAYERY

ANALYTICS & BI CONSULTANCY · 9 MONTHS

Data audit, architecting and setting up the custom hospitality data lakehouse (apaleo, marketing channels, GA4) , KPI dashboards, cross-platform customer matching, in-depth customer insights, trainings.

Brera

ANALYTICS & BI CONSULTANCY · 8 MONTHS

Architecting and setting up the custom hospitality data lakehouse (apaleo, Sihot, DATEV), KPI dashboards, P&L reporting, ‘Talk to Your Data’ LLM assistant on top.

SaaS

Bilby AI

FRACTIONAL HEAD OF DATA · 10 MONTHS

Data strategy and roadmap, team recruitment, enhancing the data infrastructure behind Bilby’s AI engines.

resmio

BI MANAGER · 2015–2017

Establishing the BI & sales-controlling function, lean data warehouse from MongoDB, Salesforce, Segment, KPI dashboards, investor reporting.

Subscription

Blinkist

HEAD OF BI & DATA SCIENCE · 2017–2021

Establishing the analytics function and the team of data analysts and scientists; supporting the establishment of the data lakehouse (MongoDB, marketing channels, CRM, more), generating the KPI hierarchy and dashboards, Amplitude rollout for event tracking, launching personalised recommendations with ML.

JustPlay

DATA ARCHITECTURE CONSULTANCY · 1 MONTH

Marketing data-mart architecture and consultancy on structuring and hiring the data team.

Beelingua

ANALYTICS & BI CONSULTANCY · 3 MONTHS

Lean data warehouse (MySQL, Meta Ads, Firebase → BigQuery) with Data Studio reporting.

Example architectures

What this looks like in practice

Two examples from industries I know well. The sources differ; the principle doesn’t. Every strategic data source you already have, unified in one lakehouse you own, powering the outputs your team actually uses.

Online shop, marketplaces and paid channels.