Advanced Analytics & FP&A
We turn data into decisions — with modern analytics, BI, and AI for greater transparency and efficiency.
Your journey
Our Analytics & FP&A journey leads companies to data-driven decisions — for greater transparency and agility.
Step by step, we develop a data-driven operating model — from reporting to AI-powered planning.
Stage 4: Planning-oriented:
Analytics is fully integrated into financial and business processes, enabling proactive control and real-time agility.
SUSTAINABLE MATURITY PATH
Stage 3: Predictive:
Data models and machine learning algorithms enable forecasts of sales, demand, or cost trends. Decisions become increasingly data-driven and dynamic.
Stage 2: Diagnostic:
Central BI systems take shape, data is standardized, and initial automated reports are established. Root-cause analyses and dashboards provide greater transparency.
Stage 1: Descriptive:
Reports are created mostly manually, data sources are siloed, and analyses are retrospective. Decisions rely on experience rather than reliable data.
Objective: Build a central data and reporting structure
-
BI architectures & semantic models – Power BI, Snowflake, dbt
-
Acterys: Fast, scalable planning, forecasting, and reporting through seamless integration of ERP, BI, and analytics data
-
KPI frameworks & data governance – ownership, standards, stewardship
-
Data integration & ETL processes – Azure Data Factory, Fivetran, Matillion
-
Automated Reporting & Distribution – Power Automate, Alteryx
-
DataOps & lifecycle management – CI/CD, testing, versioning
-
Ziel: Daten in verständliche, handlungsorientierte Erkenntnisse übersetzen, um Entscheider schnell zu befähigen.
-
Visual Design Frameworks – IBCS, Hichert, Data Storytelling
-
Self-Service Dashboards – Power BI, Tableau, Looker Studio
-
Narrative BI – KPI communication with context & visual impact
-
User experience & cognitive design – clear visual hierarchies
-
Data literacy training – building understanding and acceptance
-
Objective: Modernize financial planning, budgeting, and forecasting through automated, AI-powered models.
-
Connected Planning – Anaplan, Workday Adaptive, Jedox
-
Rolling Forecasts & Szenario-Analysen – dynamische Planung statt Stichtagsdenken
-
Driver-based Modelling – Finanzmodelle auf operative KPIs verknüpfen
-
Integration ERP–BI–FP&A – SAP Analytics Cloud, Snowflake, Power BI
-
Performance Management Frameworks – OKR, KPI, Value Metrics
-
Objective: Integrate analytics into daily decision-making and promote data-driven responsibility across all business areas.
-
Decision intelligence frameworks – from analytics to business action
-
Embedded Analytics – BI direkt in Business-Apps (CRM, ERP)
-
Augmented Analytics – Natural Language Querying, Explainable Insights
-
Predictive alerts & recommendations – real-time insights for business functions
-
Data democratization – access & empowerment for non-analysts
-
We combine technology, methodology, and industry expertise — for scalable, reliable solutions.
Step by step, you develop a data-driven operating model — from reporting to AI-powered planning.
Our capabilities and tech stacks
How we create impact
Understand & focus
We analyze your current reporting, analytics, and planning processes, identify pain points, and jointly define the key value drivers.
Transform & modernize
We modernize data structures, integrate relevant sources, and build the foundation for automated, AI-powered analytics and forecasts.
Activate & empower
We make data usable at every level — through intuitive dashboards, self-service tools, and training that fosters data literacy and ownership.
Govern & scale
We measure the achieved impact together, establish data governance structures, and scale successful analytics use cases across the entire organization.
We’re excited to hear your ideas!
Whether you’re looking for an expert exchange, a project inquiry, a potential collaboration, or anything else — we look forward to getting in touch with you.