Melisa Kleen
Founder, Lore Analytics
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
TWe 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 — 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 — like “Talk to Your Data” assistants — that turn your data into ongoing leverage.
Example architectures
What this looks like in practice
An example architecture for an e-commerce business: Every strategic data source you have, unified in one lakehouse you own, powering the outputs your team actually uses.
Sales Channels
· incl. marketplaces
+ more
Marketing Performance
+ more
Data Lakehouse
Your central source of truth
Investor & fundraising materials
Board decks, data rooms, metrics
Dashboards
Live KPIs across the business
Custom reports, forecasts & more
Ad-hoc analysis, projections
E-commerce example — every setup is tailored.
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 · 6 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.
Tools
The tools & platforms I work with
AWS
MS SQL Server
Power BI
Salesforce
Google Cloud
BigQuery
Looker Studio
GA4
Shopify
PostgreSQL
Sisense
Amplitude
apaleo
AWS
MS SQL Server
Power BI
Salesforce
Google Cloud
BigQuery
Looker Studio
GA4
Shopify
PostgreSQL
Sisense
Amplitude
apaleo
About
A partner who speaks both data and business
I’m Melisa — a strategic yet hands-on data leader with 12+ years working at the intersection of technology and business. I help companies build the analytics capabilities they need to grow: from a single source of truth to the dashboards, automation and AI products built on top of it.
I work with companies at every stage of data maturity — standing up a central data warehouse from scattered sources, or bringing an outside perspective and pragmatic solutions to teams that already have analytics in place. Along the way I coach teams on data literacy and help hire for data roles.