How long does a typical data strategy project take?

The core: audit, strategy and roadmap: typically takes 3–5 weeks. This depends on the size of the company, the complexity of the data landscape and stakeholder availability. Quick wins can often be identified and tackled in parallel.

What size of company is this suitable for?

Our projects are most effective for companies with 30–500 employees: large enough to have complex data requirements, but without a dedicated data team yet. Size is less critical than the pain: if reporting is manual or departments work with different numbers, action is needed.

What does a data strategy project cost?

It depends on the scope. For an audit including strategy and roadmap, expect a project volume of €5,000–15,000. In a short initial consultation we can quickly assess what makes sense and is realistic for your situation: without sales pressure.

What if we have little data experience?

That's the normal case. Most projects start exactly there: no central data infrastructure, Excel as the primary analysis tool, reporting processes that cost too much time. Our ADET framework is designed for this: we start with your current state and develop a strategy that fits where you are today, not a hypothetical ideal.

Can we implement the strategy ourselves afterwards?

That is explicitly the goal. At the end of the project you receive complete documentation, practical training and all working materials. If you'd prefer to tackle the implementation together, we offer that in the ENGINEER step: but there's no obligation. Your independence afterwards is our quality benchmark.

How do you handle our data and GDPR compliance?

We work exclusively with anonymised or pseudonymised data during the analysis phase. All systems are operated on servers within the EU: no cloud provider outside the EEA without explicit agreement. On request we sign a Data Processing Agreement (DPA) pursuant to Art. 28 GDPR before the project begins. Data sovereignty is not a marketing promise for us: it is part of the technical architecture.

Data Strategy

Datawithoutstrategyisexpensivenoise.

Most companies sit on an untapped treasure of data. We develop the strategy to unlock it: concrete, actionable, without vendor lock-in.

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Data silos detected

alpLytics · Live

Data silos

55 %

Data quality

14 D

Decision time

Manual reports

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Why this matters

Numbers that show where the problem really lies

Three indicators that make urgency and upside immediately visible.

< 0 %

of company data is used

Companies worldwide produce exponentially growing volumes of data: yet less than a third is ever used to inform decisions.

0–0 %

of data projects fail

Not because of poor technology: but because strategy, stakeholder alignment and clear goals are missing before the first tool is chosen.

0×

faster decisions

Companies with a clear data strategy and centralised data infrastructure make operational decisions up to five times faster than their competitors.

The reality: and what is possible

Status quo in most companies → With a clear data strategy

Without strategy → current reality. With strategy → target state.

Status quo in most companies

Data in five different silos: Excel, CRM, ERP, BI tool and email. Nobody has the full picture.

Every department calculates the same KPI differently. Meetings start with 20 minutes of debating numbers.

Decisions are based on the last report: manually compiled three weeks ago.

With a clear data strategy

A single unified data foundation. Everyone sees the same numbers: in real time, from the same source.

Clearly defined metrics with documented calculation logic. No more interpretation debates.

Decisions in hours instead of weeks. Based on current data, not on memory.

Measurable project results

What a clear data strategy changes in daily operations

Not more data for its own sake: but measurably faster decisions, less friction and clear controllability.

What changes operationally

Weekly reporting time

Data sources consolidated

Time to operational decision

Results vary by starting point. All figures from completed, anonymised projects.

Weekly reporting time

−88 %

3 hrs22 min

Data sources consolidated

−83 %

6 silos1 platform

Time to operational decision

−86 %

14 days2 days

Faster decisionsLess coordination overheadReliable KPI logic

Our approach: ADET methodology

From problem to lasting solution

4Phases8–12WeeksWeek 2first results

ASSESS1–2 weeksPhase 1 of 4

Inventory

Complete analysis of your data sources, processes and business goals. Stakeholder interviews and an honest picture without whitewashing: including the uncomfortable truths.

Scroll for DESIGN

Phase 1 of 4

Our approach: ADET methodology

From problem to lasting solution

4Phases8–12WeeksWeek 2first results

ASSESS1–2 weeks1 / 4

Inventory

Complete analysis of your data sources, processes and business goals. Stakeholder interviews and an honest picture without whitewashing: including the uncomfortable truths.

Swipe for DESIGN

DESIGN1–2 weeks2 / 4

Strategy & Roadmap

We develop a prioritised data strategy with quick wins for month one and a realistic 12-month roadmap. Not a concept paper: a working document.

Swipe for ENGINEER

ENGINEER2–6 weeks (optional)3 / 4

First Implementation

On request we implement the most important measures directly: first data pipelines, a proof-of-concept dashboard or the central data infrastructure. Scope and duration are defined together after the DESIGN phase.

Swipe for TRANSFER

TRANSFER1 week4 / 4

Handover & Enablement

Full documentation, internal training, handover to your team. Our explicit goal: you don't need us afterwards: that is quality.

Framework complete

„In one of my first projects we were in a strategy meeting. The CFO had one number, the CMO had another: both supposedly from the same system. The meeting lasted 90 minutes, 60 of which were debate about which number was 'correct'. That's not an exception. Exactly there: with the question 'which decision is this number actually supposed to support': is where we begin."

Dominik Wörz

Founder, alpLytics · Vienna

What you concretely receive

Concrete deliverables

Complete analysis of all existing data sources, systems and interfaces: including assessment of data quality, currency and completeness. Result: a clear picture of the current state with documented weak points, untapped potential and a prioritisation by immediate business impact. No whitewashing, no diplomatic answers.

Typical project results

<– wks

to first measurable improvements

–

quick wins in the first project month

– %

self-sufficiency after project end

Tools & Technologies

Proven technologies

Hover for details · We work tool-agnostically.

100 % Open Source

Keine Lizenzkosten, kein Vendor Lock-in

DSGVO-konform

Alle Tools laufen auf EU-Servern

Toolagnostisch

Das beste Tool für Ihr Problem — nicht mit Provision getrieben

bewährte Tools

in 6 Kategorien

Technologie-Rail

Airbyte

Ingestion

Data integration from 300+ source systems: open source, no vendor lock-in

Typischer Einsatz

Data integration from 300+ source systems: open source, no vendor lock-in

Warum gewählt

Ausgewählt für Stabilität, Wartbarkeit und Team-Fit.

Stack-Fit

Quellsysteme verlässlich anbinden

Why alpLytics

What sets us apart from typical consultancies

No claim to size: but to quality, honesty and knowledge transfer.

Senior-only

No juniors in the project

At alpLytics, Dominik speaks with you personally: and works in the project. You pay for experience, not overhead. No account manager who phones in the briefing.

Tool-agnostic

No vendor, no commission

We recommend the tool that fits your problem: not the one we get a partner commission for. If the best solution is open source, we'll tell you.

Transfer focus

Our goal: your independence

We don't build dependency. Every project ends with complete documentation, internal training and the explicit goal that you can manage without us afterwards.

Who is this for?

Typical profiles

We prioritise the roles where data strategy creates the fastest operational leverage.

CEO

CEO / Managing Director

Decisions are made on gut feeling or contradictory numbers: because nobody knows which source to trust.

Typical profile

Mid-size company, 50–500 employees

Strategy fit is clarified in a 30-minute initial consultation.

CFO

CFO / Head of Finance

Monthly closes take too long, figures from different systems do not reconcile, and forecast quality is too low for reliable decisions.

Typical profile

Mid-size company with grown reporting

Strategy fit is clarified in a 30-minute initial consultation.

Head of Sales

Head of Sales / Marketing

CRM data incomplete, forecasts unreliable, campaign attribution a mystery. Every quarter ends with questions nobody can answer.

Typical profile

B2B, growing company

Strategy fit is clarified in a 30-minute initial consultation.

CEO / Managing Director

Mid-size company, 50–500 employees

Decisions are made on gut feeling or contradictory numbers: because nobody knows which source to trust.

CFO / Head of Finance

Mid-size company with grown reporting

Monthly closes take too long, figures from different systems do not reconcile, and forecast quality is too low for reliable decisions.

Head of Sales / Marketing

B2B, growing company

CRM data incomplete, forecasts unreliable, campaign attribution a mystery. Every quarter ends with questions nobody can answer.

Frequently asked questions

What clients usually ask

Next step

In 30 minutes you will know where you stand.

Free initial consultation: we analyse your data situation and show concrete next steps. No sales pitch.

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