Product film
See the accelerator in action.
A short look at how DataInsight Accelerator turns raw records into prioritised, evidence-backed findings.
Synthetic demonstration data shown.
DataInsight Accelerator
Don't guess about your data. Understand it.
A practical accelerator from VYLQORA that profiles your enterprise data, measures its quality and relationships, and turns what it finds into a prioritised remediation plan before you commit budget to MDM, analytics or AI.
- Profiles every column and checks every record against quality rules
- Finds duplicates, gaps, inconsistent values and broken relationships
- Scores analytics readiness and indicates AI readiness
- Prioritised P1–P4 recommendations and a tracked remediation backlog
Why assess first
Most data programmes are scoped on assumptions.
MDM, analytics and AI investments depend on data nobody has measured. The accelerator replaces assumptions with evidence before the budget is committed.
01
Budgets are committed before the data is understood
Programmes are scoped on assumptions about data quality that nobody has measured.
02
Duplicates hide in plain sight
The same customer or product appears several times across systems, quietly distorting every report built on it.
03
Gaps and inconsistencies compound
Missing values, mixed formats and spelling variants each look minor until they meet a match rule or a model.
04
Relationships break silently
Orders reference customers that no longer exist, and nobody notices until totals stop reconciling.
05
Remediation has no order
Without a prioritised list, teams fix what is visible rather than what blocks the outcome.
06
The business case lacks evidence
Leaders are asked to fund data work without a quantified baseline of the problem.
What it does
From raw records to a remediation plan.
Connect a source, and the accelerator profiles, checks and scores the data, then tells you what to fix first and why.
Connect & profile
- CSV, Excel and JSON uploads
- PostgreSQL, SQL Server, MySQL, Snowflake, Databricks and REST APIs
- Column profiling and data classification
Quality & relationships
- Rules evaluated record by record across seven quality dimensions
- Duplicate records and duplicate identifiers
- Relationship discovery with orphaned-record detection
Readiness & action
- Analytics readiness score and AI readiness indicator
- Prioritised P1–P4 recommendations with effort
- Remediation backlog, AI assistant and executive reports
What enterprises achieve
Evidence before investment.
A quantified baseline
Know how complete, consistent and unique your data is, dataset by dataset.
Problems you can see
Duplicates, gaps, inconsistencies and orphaned records, surfaced with the records behind them.
A remediation plan in priority order
Fix what blocks analytics and MDM first, with effort and impact attached.
Evidence for the business case
Executive-ready findings to justify, scope and sequence MDM, analytics or AI investment.
A clear starting point for MDM
Understand matching, survivorship and governance needs before configuration begins.
Findings experts can act on
Our MDM and data consultants start from measured facts rather than open-ended discovery.
Ready to keep your data trusted after the assessment? Vylqora IntelliData connects, governs and explains it every day.
Explore Vylqora IntelliDataUnderstand your data before you invest.
Tell us which data you want to understand and what decision it supports. We will show you what the accelerator finds.