Analytics that grow your business, not just with it
Poor data quality costs the average organisation US$12.9 million a year (Gartner); MIT Sloan Management Review research puts the loss at 15–25% of revenue for many companies. Data scientists spend between 45% and 80% of their time preparing data rather than analysing it, depending on the survey. And despite widespread tool availability, Forrester finds only 20% of non-IT professionals can fulfil their own BI needs. The pattern is universal: too much data, too little trust, and insight that arrives too late.
Strategy
use cases
platform
dashboards
optimise
expand
What we modernize
Data strategy and governance
Ownership, quality standards, lineage and stewardship that make data trustworthy.
Data platform
Nucleus as the unified data core; data lake and lakehouse design and build. Technology SaaS.
Self-serve analytics
Click gives business users governed self-service; Forrester’s economic impact research on self-service BI found 125 hours saved per user per year and 42% less central analytics effort.
Advanced analytics and forecasting
BigBrain models for demand, risk, pricing and performance; forecast accuracy improved by up to 50% [PP claim].
Decision intelligence
Embedding models into workflows through CognitiveCore so that decisions happen where work happens.
Data and analytics operating model
Centre of excellence, roles and capability build.
US$12.9m
Average annual cost of poor data quality (Gartner)
80%
Less time on data preparation [PP claim]
5×
Faster decisions [PP claim]
125
Hours saved per user per year with governed self-service BI (Forrester)
