DataNovata will automatically build a feature-rich, web-enabled application for any database, providing flexible & secure data retrieval from any location.
Manchester
Joined March 2011
- Tweets3.3K
- Following511
- Followers192
- Likes1K
Stakeholder commitment needs to carry through every stage of IT transformation.
How do you keep people engaged and #innovation on track? Watch this video for four tips to help IT leaders sustain that commitment.
#ITTransformation #StakeholderEngagement
1/2
Looking for Data Fidelity in Data Archives? Don't just ask if you can retrieve data.
Ask: Is schema, relationship, and metadata integrity preserved? Your AI may depend on it
2/2
Most 3rd-party DB archives restructure the schema, breaking AI verification chains of custody.
Discover how DataNovata preserves authentic data fidelity.👇
mail.mydatanovata.com/genera…
#DataFidelity #DataArchiving #AgenticAI
RAG cannot always help AI find context if that context wasn’t preserved to begin with. If an archive has discarded the source schema, retrieval alone can't restore the missing information.
AI readiness starts with #DataFidelity—not more detailed prompts.
#RAG #EnterpriseAI
1/2
Low data fidelity can throw off AI deployments.
AI is only as reliable as the data behind it.
Changes to original data structure erase the historic context, retaining the “what” of your data, but losing the “how.”
AI can't reconstruct what’s been lost.
2/2
When your prompts yield unexpected responses, it may not be the prompt itself–it may be low fidelity in your data.
Learn more about Full Fidelity data retention.
blog.mydatanovata.com/how-lo…
#AI #DataFidelity #ML
Loss of data fidelity in your archive can leave AI analysis missing vital context. Records may remain accessible while relationships, metadata and historical context are lost, making outputs harder to validate and business decisions less reliable. More👇
#DataFidelity #AI
A component can outlive the system that holds its history.
See how DataNovata connects records across systems to help aerospace and manufacturing teams trace components and their maintenance history throughout their lifecycle.
#Aerospace #DigitalThread #DataFidelity
Retire the legacy platform, not access to your data history.
See how DataNovata helps organizations decommission old systems while keeping historical data accessible for reference and compliance.
#LegacyDecommissioning #DataModernization #TechnicalDebt
Historical data can remain valuable long after an application is ready to retire.
Modernization should preserve access to that data without carrying forward the cost and complexity of keeping the old system running.
Watch this video to learn more.
#DataAutonomy #DataFidelity
Cloud migration, decommissioning and AI depend on accessible data. Data silos and retention requirements add complexity.
See how DataNovata keeps application data history connected and under your control.
Watch the overview below 👇
#DataAutonomy
DataNovata retweeted
Can you trust your AI agent to make the same decision twice?
Many organizations are discovering that agent performance in production doesn't always match performance in testing.
Explore practical approaches to improving reliability, managing risk and earning agent autonomy through proven performance: gtnr.it/4iVBhfc
Manufacturing leaders talk about building a Digital Thread, connecting design, engineering, and factory floor data end-to-end.
The real-world barrier stopping them? Disconnected Bill of Materials (BOM) history.
Here’s why legacy BOM silos destroy product visibility 🧵👇
5/ Enable a seamless digital thread without getting bogged down by legacy system overhead.
Read the full breakdown on overcoming BOM challenges in modern manufacturing:
blog.mydatanovata.com/overco…
4/ The fix isn't a multi-million-dollar migration of legacy BOM records into a single new PLM.
Instead, manufacturers are archiving and unifying legacy BOM data into accessible retention platforms, maintaining full schema and audit trails while freeing new platforms to run lean.
3/ When historical BOM versions are trapped in disconnected legacy systems, engineers lose traceability.
This causes costly re-work, compliance risks, delayed maintenance, and inaccurate engineering change orders (ECOs).