What is a Data Strategy & Governance?

Data strategy translates your business ambitions into actionable data and analytics initiatives. Once your goals are clear, these initiatives are mapped into a tangible roadmap with defined objectives, resource needs, and daily execution procedures.

The outcome? A working roadmap and processes that deliver business success, one strategic use case at a time.

Data strategy turns complexity into clarity and delivers measurable outcomes.

Why does it matter to you?

A robust data strategy combined with effective governance lets your organization focus on initiatives that truly drive impact. Your data becomes reliable, secure, and usable by the right people, supporting informed decisions and long-term growth.

Governance covers:

Data governance: Authority and control over data assets to maintain quality, security, compliance, and optimal usage.

Tool governance: Processes, policies and standards that manage how data and AI tools are used effectively.

Strong governance maximizes the value of your data by keeping it safe and in line with business goals.

With a robust framework in place, you can:

Focus your data efforts in the places where they matter most

Make data-driven business decisions

Understand customers and trends

Deliver smarter products and services

Monetize data in a sustainable way

Get to know the Cubis approach

Let our expert team guide you through every step. Together, we will:

  • Define roles and responsibilities for efficient collaboration and clear ownership.
  • Provide best practices for reporting and data visualization.
  • Design a delivery model that gives the right people seamless access to data and insights.
  • Create a roadmap from current state to desired outcomes with measurable indicators.

Looking to structure your data for real impact?

We’ll help you define a clear data strategy and implement strong governance so your data drives informed decisions, operational efficiency, and measurable business growth.

Trusted by

"It wasn't until Cubis structured our data that we knew what a huge potential we had."

Manuel Correia

Director Business Intelligence, Cargolux

“Lytix helped us setting up a robust Power BI environment in terms of user adoption, governance, training & support.”

Steven Dauw

Infrabel Teamlead End User Products & Reporting

“Lytix ensures that we stay within our SLA and that we have a great customer experience! They are driven to increase our maturity & to support the related change management.”

Maurijn Van Malderghem

Infrabel BI ICT Lead

“Businesses and industry groups traditionally relied on reporting systems that were complex to manage. Increasingly, business wants the ability to quickly answer complex analytical questions without the involvement of IT”.

Stijn De Knop

CDP/CFO at Torfs

"Carglass has chosen Lytix & Microsoft Power BI to modernize their front-end reporting strategy. Bringing great additional value with modern looking dashboards and easy-to-use user interface."

Johan Van Hentenrijk & Inge Vossen

Business Controller EDC & Business Finance Manager

Insights

Explore the latest insights on Data Strategy & Governance

Databricks Budgets – Budget First. Prompt Later.

The missing piece to your Databricks AI Governance. As AI workloads grow from small experiments to production-scale applications, keeping cloud costs under control becomes just as important as achieving model accuracy and performance. Databricks Budgets help organisations proactively manage spending...

Read more

Live Databricks data in Excel: connect existing reports, auto-refresh, and enforce role-based access

Most companies have a data access gap that nobody put on a roadmap. IBM Think (November 2025), citing Gartner data, reports that analytics and business intelligence tools are used by only 29% of employees on average.[1] That means most people...

Read more

Migrating historical transactional data from SAP S/4HANA to SAP Public Cloud: real-world lessons from a complex FI-CO migration

Organizations running mature SAP S/4HANA environments on-premise or in private cloud are increasingly eyeing the move to SAP S/4HANA Public Cloud. The promise of lower TCO, continuous innovation, simplified operations, and embedded AI capabilities makes the Public Cloud highly attractive....

Read more

Materialized Lake Views in Microsoft Fabric: your medallion pipeline in a few lines of SQL

Data engineering on a lakehouse used to mean a lot of moving parts. A notebook for each transformation layer. A Data Factory pipeline to run them in the right order. Custom validation logic across scripts. Schedules to maintain and a...

Read more

Top insights from the Databricks Data + AI Summit 2026

Every year in June, the focus of the Data & AI world switches to San Francisco, where Databricks holds its yearly Data & AI Summit. A packed three days full of new product announcements, customer success stories and interesting talks....

Read more

Whitepaper: SAP Analytics Cloud – Predictive Analytics Strategy

Many companies still use traditional BI reporting to describe what has happened in the past. SAP Analytics Cloud (SAC) is an all-in-one BI/Predictive/Planning tool. SAC especially is “Self Service”, to allow every user to combine Business Intelligence with Predictive capabilities....

Download whitepaper