A subtitle, or the occasion · {{DECK_DATE}}
Presented by Name Surname
Gemma Analytics GmbH · internal
A statement box for the one sentence you want remembered. Keep it to a sentence.
Variants: default lavender, --teal for context, --coral for risk, --yellow for a next step.
Anything that changes between today and the presentation should be computed at build time, never typed in.
Yellow for what happens next.
Coral for what could go wrong. Say it before someone asks.
One sentence naming the decision, so nobody has to infer it.
What this option commits to, in two lines.
Name the real cost of waiting, not a straw man.
State this fairly too, or the panel will not trust the other two.
Audience warning, if this slide is not for the main room
01
With 70+ successful projects in 5 years, our senior team brings cross-industry expertise and deep technical know-how. Fast, flexible, and always tailored.
We don't just consult, we deliver.
Our work reduces costs, boosts revenue, and improves decision-making across your company, directly impacting profits.
Founder-led. Execution-focused.
With Gemma Analytics on your side, your data function becomes a growth driver, not a cost center.
Three documents are signed:
Technical infrastructure
The start of turning data into value.
We look forward to
hearing from you!
{{CONTACT_EMAIL}}
01
Deep collaboration with key stakeholders, especially in phases 2 and 3
Better decision-making enabled by data transparency and visualization, in particular for financials, sales and marketing data.
Efficiency gains from automated reporting and transparency, leading to EBITDA improvements.
Setting organizations up for scale through holistic data strategy and professional data pipeline setup.
Consistent approach and quality across all portfolio companies, in accordance with the investor's strategy.
Enablement of the organization through change management, training of employees and hiring support.
We enable teams to make data-driven decisions.
Improving scalability and flexibility by migrating from y42 to the modern data stack.
Maniko is conquering the manicure and pedicure market with innovative nail products.
As Maniko's data and analytics needs grew, y42 increasingly struggled to keep up with the company's requirements. To ensure continued scalability and reliability, Maniko opted for a migration.
Gemma solutions:
Gemma migrated the complete analytics infrastructure from y42 to the modern data stack, in this case Fivetran, dbt Cloud, BigQuery and Tableau, so Maniko can use the best tool for each job while depending less on any one vendor.
Gemma built on the existing analytics logic to create custom reports for each department, including management, marketing, finance, CRM, retail and operations.
Gemma supported hiring Maniko's first internal data analyst, trained them, and established long-term best-practice CI/CD processes.
Sources
Custom databases and ERP
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Storage
Transformation
Reporting
Data consumers
Data science and AI applications
Reverse ETL, for example CRM
Gemma additionally offers data strategy, upskilling and hiring support
What the minimum build carries, and who needs which figure.
Your target picture, our proposal, and the two decisions in it.
What only you can define and settle.
Three routes, our advice, effort and start.
All four measures can be formed from one system. The data is there.
Per service line, from invoices, external costs and booked hours.
The common currency across every billing model, total and per line.
Per line, from time bookings, absences and working-time models.
Actual hours against the historical reference for the same order type.
Three definitions still need sharpening: “service line”, real cost rates instead of industry rates, and the denominator of the productive hours ratio. That is detail work on terms, not a missing data source.
All four measures look backwards. What is needed is free capacity per line, two to three months ahead — in days and euros, not as a ratio. No system holds it today, and it needs a decision from management, not technology.
No warehouse, no orchestration, no version control. The metric logic lives inside the reporting tool.
Transformations and metric definitions live versioned in Git: traceable, testable and independent of the reporting tool.
Three workable routes. We recommend one and say what the other two save.
The problem is not the dashboard, it is the processes in front of it. Only you can settle these.
We implement, your developer builds alongside and takes it over. It is the route that leaves capability behind rather than dependency.