Expert Answers
Clear, actionable answers to your data strategy and AI questions.
14 articles
Data & AI insights every two weeks.
No spam, just evidence.
14 results
Where to Start with AI Automation in a Mid-Market Company?
Start with a process audit scored by automation potential (volume × repetitiveness × error rate). Choose three quick wins, deploy AI pilots with governance guardrails, and measure ROI before scaling across the organization.
The CEO Dashboard: What It Needs and What's Noise?
A CEO dashboard should answer five questions in under 60 seconds: Are we making money? Are we growing? Are we efficient? Are we at risk? What changed this week? Everything else is noise.
Why Your CRM Is Useless (and How to Fix It)?
Most mid‑market CRMs are filled at ~40% because reps see them as admin overhead. Fix it by reducing input to five essential fields, adding opportunity scoring, and connecting CRM data to automated forecasting so reps and leadership see immediate value.
How to Cut DSO in a Mid-Market Company in 90 Days?
Segment receivables by payer risk, automate dunning with escalation rules, and monitor real‑time cash flow and disputes. Most mid‑market teams see a 10–15 day DSO reduction within 90 days when finance owns the cadence and sales is aligned on terms.
How to Find Hidden Margin Leaks in Your Business?
Most margin erosion comes from three sources: uncontrolled discounts, misallocated costs, and unprofitable clients or projects. Build a margin view by client/product, add drift alerts, and you can typically recover 2–5% gross margin within the first quarter.
How Much Is Manual Reporting Costing Your Business?
Manual reporting typically eats 20–40% of team time, costs €200K–500K per year in hidden labor, and leads to decisions based on data that is 2–4 weeks old. Automating three core connectors can reclaim ~30% of reporting time within 90 days.
How to Predict Churn Before It Happens?
Predict churn by combining behavioral signals (usage drops, support tickets, engagement decline) with financial data (payment delays, contract value). A simple scoring model can alert teams 30–60 days before a client leaves and prioritize retention by value × risk.
What controls do we need to govern LLMs safely?
To govern LLMs safely, deploy four core controls: a secure LLM gateway with redaction/DLP, an AI acceptable-use policy with an approved tools list, role-based access with human oversight for high-risk prompts, and a risk register with quarterly board reporting.
What risks does Shadow AI create and what controls should a board require?
Shadow AI creates data leakage, regulatory exposure, and operational risk. Boards should require a secure LLM gateway, an AI acceptable‑use policy, role‑based access with human oversight for high‑risk prompts, and a risk register with quarterly reporting.
What ROI can we expect in 90 days?
In 90 days, most mid‑market teams can deliver 1–3 quick wins tied to P&L, typically targeting 2–5% margin uplift or equivalent cost avoidance. The key is a clear baseline, decision packs with owners, and a measurable capture plan.
How much does a fractional CDO cost and what do you get in 90 days?
Fractional CDO engagements typically range from €10,000–€28,000 per month for 1–2 days per week, delivering a 90‑day plan, decision packs, and governance/risk controls.
How do you measure data quality effectively?
Measure data quality by defining critical datasets, setting SLAs for accuracy, completeness, timeliness, and consistency, monitoring with clear thresholds, and tying every metric to a business outcome or risk.
How can we cut Modern Data Stack costs without slowing teams?
Reduce Modern Data Stack costs with a 4‑step FinOps playbook: inventory spend and usage, rank tools by value vs. complexity, retire overlaps, and add guardrails (quotas, auto‑suspend). Typical savings are 20–40% in 90 days.
What is a data strategy and why does my organization need one?
A data strategy is a plan that aligns data capabilities with business outcomes: governance, architecture, quality, analytics, and ownership. Organizations need one to make decisions faster, reduce risk, and deliver measurable ROI.
Coming soon
- • How to structure a data business case for the board
- • Template: AI risk register (AI Act-ready)
- • Guide: FinOps for the modern data stack in 4 steps