Data Analytics & BI
Dashboards, reports, analytical portals and self-service BI on governed data, and the data platform that feeds them.
Learn moreWe help government entities and enterprises put data governance to work: clear ownership, policies people follow, measured data quality and a living catalogue, aligned with Saudi Arabia’s NDMO standards and Egypt’s Personal Data Protection Law 151/2020.

Data governance is the set of roles, decisions and rules that determine who owns each kind of data in an organisation, who may use it and how its quality and protection are assured. DAMA, the international data management association, defines it as the exercise of authority and control over the management of data assets. In practice it turns data that each department keeps for itself into an asset the whole organisation can trust.
Sustainable Software Solutions provides data governance consulting and implementation from Cairo, for government entities and enterprises in Egypt, Saudi Arabia and the other Gulf states. The work builds on the data practice of our parent group, Jadara Solutions in Riyadh, and on our founder’s own record: he established and led the data management office of a Saudi government agency, with a three-year data strategy and a governance framework built to NDMO regulations.
Governance comes before analytics and AI, not after them. A dashboard or a model is only as reliable as the data beneath it, which is why we treat governance as the first step of any data programme: trusted AI starts from trusted data.
What it covers
Eight parts of a governance programme. We can run the whole programme or strengthen the parts you already have.
We assess where your data management stands today against the framework that applies to you, and turn the gaps into a roadmap ordered by priority.
The data management office, the governance committee and the roles of data owners and stewards, with their decision rights written down.
Policies for classification, sharing, retention, privacy and quality, written for the people who have to follow them.
Quality rules for your critical data, measured for accuracy, consistency and reliability, with each issue routed to the owner who can fix it.
A business glossary and a living catalogue, so people can find data, understand what it means and see where it came from.
Each data set is given a sensitivity level that decides how it is stored, shared and protected.
A register of the personal data you hold, where it flows and how long it is kept: the groundwork that consent, breach notification and transfer rules all depend on.
Governance indicators reported to management, and the evidence kept ready for an audit or an assessment.
Rules and frameworks
Four frameworks shape most of our governance work in the two markets. This is a summary of public rules, not legal advice.
The National Data Management Office (NDMO), part of the Saudi Data and AI Authority (SDAIA), issued the Data Management and Personal Data Protection Standards. They set out 15 domains, with 77 controls and 191 specifications across 14 of them; data security is left to the National Cybersecurity Authority. They apply to public entities and extend to business partners that handle government data.
SDAIA measures government entities through the National Data Index (NDI). It scores three things: the maturity of data management on six levels from 0 to 5, compliance with the 191 specifications, and operational excellence.
The Saudi Personal Data Protection Law (Royal Decree M/19) came into force on 14 September 2023 and has been fully enforceable since 14 September 2024, with SDAIA as its regulator.
Egypt’s law covers personal data that is processed electronically. Its Executive Regulations were issued in November 2025 (Decree 816 of 2025), with one year for organisations to comply. It requires explicit consent, a licence or permit from the Personal Data Protection Center (PDPC), a registered data protection officer, notice of a breach within 72 hours and a licence for transfers abroad.
How we deliver
Five steps, each ending in something you can see, test and sign off.
STEP 01
We meet the people who hold the data, review existing policies and systems, and assess maturity against the framework that applies to you.
STEP 02
We agree the operating model, the roles, the policies and the roadmap, starting with the data that matters most.
STEP 03
We write the policies, define the quality rules and build the glossary and catalogue, one data domain at a time, with its owners.
STEP 04
We bring governance into daily work: owners and stewards in place, issues tracked and evidence collected.
STEP 05
We measure quality and compliance indicators, report them to management and extend to further domains.
Questions & answers
Data management is the daily work of collecting, storing, integrating and securing data. Data governance decides how that work should be done: who owns the data, which rules apply and how compliance is checked. Governance oversees; management carries out.
Data quality describes the data itself: whether it is accurate, complete, consistent and up to date. Data governance is the system of ownership and rules that keeps it that way. Quality problems return when nobody owns the data, so quality work lasts only inside a governance framework.
The standards are written for public entities in Saudi Arabia, a term that includes companies that run public utilities or national infrastructure, and their scope extends to business partners that handle government data. Entities report on their compliance every year.
The National Data Index is the index SDAIA uses to track the progress of Saudi government entities in data management. It combines a maturity score on six levels (0 to 5), compliance with the 191 specifications of the NDMO standards, and operational excellence.
It applies to organisations that process the personal data of individuals electronically, and it reaches those abroad when the data belongs to Egyptians or to residents of Egypt. Some data is outside the law, including data held by the Central Bank of Egypt and the entities it supervises. This is general information, not legal advice: confirm your position with legal counsel.
No. One framework of ownership, classification, quality rules and a catalogue serves both countries. What differs is the set of controls mapped onto it: the NDMO specifications and the Saudi law for Saudi operations, and Law 151 for Egyptian ones. We design the framework once and map it twice.
With an assessment and one or two data domains that the organisation depends on, such as customers or finance. Naming owners and fixing quality for those shows results early and gives the wider programme a pattern to follow. It should not start with buying a tool.
No. We design the framework first, then implement it on the catalogue and data quality platform you already run, or help you choose one against your requirements.
Keep exploring
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Learn moreAssessment, strategy, architecture and a roadmap grounded in what your teams can actually run.
Learn moreTell us which data you depend on and which rules apply to you. We will show you where you stand and what to fix first.