Most organisations agree that data is now more than just fuel for historical or operational reporting but rather a strategic asset to be leveraged to differentiate in market, automate business processes, and engage their employees in more meaningful and innovative ways.
As a result, the focus on data governance has increased – having secure data which is traceable, accessible and understandable by a broad range of personas is no longer a nice to have, but a priority! Furthermore, the focus on high quality, unbiased, trusted data powering AI use cases, has put an even greater emphasis on data governance. In short, having data that is trusted by leaders and by users of data – is an essential ingredient to the success of a data driven organisation.
But what if I told you that high quality, accurate and secured data are not the only things that influence trust in a data driven organisation! Before we can secure, catalogue and leverage trusted data, many customers need a modern data platform, that’s been selected, designed and installed to be trustworthy!
You might be thinking to yourself: “Surely in the era of SaaS data platforms like MS Fabric, SAP Business Data Cloud at others, trust is just built in?”. Well, whilst SaaS platforms eliminate some of the trust barriers of the past, there are several things that can go wrong when selecting, designing and deploying a new, cloud-based, enterprise data platform. These mistakes can very quickly erode your business’s trust in their data platform and by extension, their data. The dream of a vibrant, data driven organisation is destroyed!
So, Here’s how to get it right—and what to avoid.
Start Broad, Stay Agile
The Pitfall: Many platforms are built to solve a single use case fast. But narrow and/or aggregated data models quickly become a liability—limiting flexibility, requiring IT intervention for every new report, and frustrating power users.
NTT DATA’s Edge: We design with future use cases in mind. Our models are broad and detailed from day one, enabling analysts to explore and extend data without breaking anything. Our “Explore Zone” empowers users to safely augment models with new logic and external data—no IT bottlenecks.
Keep TCO Under Control
The Pitfall: Without clear design standards and naming conventions, your MDP can become a Frankenstein’s monster—confusing, inconsistent, and expensive to maintain. Developers often duplicate data rather than extend existing models, leading to multiple versions of the truth.
NTT DATA’s Edge: We bring our proven MS Fabric Foundations framework to every engagement, and we tailor it to your environment. This ensures consistent, supportable solutions that scale cleanly over time – preserving your single source of truth and reducing long-term costs – no matter how many different people work on your MDP.
Accelerate Time to Insight
The Pitfall: Data ingestion and transformation are often the slowest parts of analytics. Without agile design, adding new data can take weeks, delaying insights and decision-making.
NTT DATA’s Edge: Our ELT Framework allows new datasets to be added via configuration—no coding required. This slashes ingestion time from weeks to days, keeping your analytics pipeline fast and responsive
The Bottom Line:
A trustworthy MDP isn’t just about data governance (security, traceability, cataloguing) — it’s about thoughtful design, future-proofing, and empowering users.
At NTT DATA, we use our accelerators and highly skilled team, to design and build data platforms that scale with your needs, reduce complexity, deliver insights faster – and are ultimately trusted by leaders, IT and users to deliver!
