Solutions
Let's make it a bit more real. Pragmatically, how can we help you with your data-intensive project?
Solving urgent, current problems
Delivery costs are too high and unpredictable. Delays seem inevitable to the point that you build in a large contingency for cost and time.
Data projects like migrations and data lakes have notoriously bad reputations in the enterprise - for good reason. Expensive, slow, and bad quality, are the three most common complaints.
Many organisations find that the more of these data-intensive projects they do, the more the team's reputation suffers - linked as it is to these unpredictable costs and delays. Sound familiar?
We can help.
Cut delivery costs by 33%
Extended test and fix cycles are a killer. They crush morale and the internal reputation of data teams. Cost escalation is rarely, if ever, the data team's fault. Rather, imperfect information is the critical driver. Up-front discovery often documents the wrong place to find the right data.
Your SMEs all agreed this was the place. Your test data worked perfectly. Ah, but pre-prod has real data that doesn't match test and dev. How could you know? Enter Relait.
Organisations struggle because...
Data projects complete faster with Relait
Relait will show you, automatically, where the data matches anywhere in the enterprise. Don't ask to compare point-to point links. Ask Relait to show you all matches - wherever they are. Use intuitive filters to drill into the information you need.
We don't claim that Relait will eliminate all bugs, but it will catch those that are based on good implementation of the wrong business rules.
What are data-intensive projects?
A project is data-intensive when it needs to bring data together from multiple applications or platforms, at volume. They include the usual suspects like data lakes, data warehouses, and data migrations. Increasingly they are AI projects - both analytical and operational.
Relait gives you...
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Iterative Scans
Crawl target databases to retrieve metadata with our patent-pending algorithms
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Risk Controls
Early clash detection enhances business rule prediction, prevents defects, & improves security
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Lower Effort
Automate analysis to drive quality up and rework down. Fewer iterations needed to deliver
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Import and Export
Augment results with metadata imports from existing data catalogues. Enrich existing data catalogues with knowledge graph exports
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One-Click Lineage
Generate maps showing how data is connected across applications – no human intervention required
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Confidence-Scored Joins
Rank relationship strength to support human validation. Top-down analysis meets bottom-up details. Scan everything, miss nothing.
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Accelerate Data Delivery
Faster insights, lower costs, better outcomes. Improved AI results through rich metadata and RAG
Want to find out more?
Talk to one of our team to find out how Relait and DataJPS services can support, accelerate, and help assure your data intensive project. Contact us now and we'll be in touch.