Retail
compare margins by store and product category
Data & Intelligence
Business Intelligence & Analytics
Build reporting around decisions, not just charts.
Analytics becomes useful when measures are defined consistently and decision-makers can understand sources, periods and exceptions.
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WHAT IT IS & WHAT IT DOES
Technology that solves real operational challenges
Analytics becomes useful when measures are defined consistently and decision-makers can understand sources, periods and exceptions. Translate business objectives into consistent KPIs, reporting models and useful drill-down views.
Decision-ready business insight
Translate business objectives into consistent KPIs, reporting models and useful drill-down views.
Better informed decisions
Confirm definitions, source lineage, refresh frequency and permission boundaries.
BUSINESS VALUE
How it helps your organisation
Technology decisions should improve day-to-day work, strengthen data reliability and support measurable business outcomes.
KPI definitions
Agree calculations, owners and reporting periods
Data preparation
Combine and validate relevant operational sources
Analysis design
Support trends, comparisons, segmentation and drill-downs
Decision workflows
Connect insights to follow-up actions and accountability
REFERENCE ARCHITECTURE
How the components connect
A simplified reference flow, adapted to the actual project requirements:
Business systems
Validated data model
Analytics/semantic layer
Decision dashboards
Illustrative architecture, not a claim of an existing deployed installation.
RECOGNISED TECHNOLOGIES
Established tools, standards and approaches
Depending on business requirements, solutions may be designed using relevant industry technologies and architectural patterns:
Power BITableauMetabaseApache SupersetSQLdbtdata warehouses
These are recognised industry technologies and architectural approaches that may be evaluated for a project; their mention does not imply Core1 Solutions has deployed, certified, partnered with, or currently supports every named technology.
INDUSTRY APPLICATIONS
Practical use cases across industries
Different sectors apply the same technical foundations to different operational challenges.
Manufacturing
analyse output, downtime and scrap
Professional services
monitor utilisation and project profitability
IMPLEMENTATION APPROACH
From discovery to dependable delivery
01 · Assess
Review users, processes, existing systems, constraints and priorities.
02 · Design
KPI definitions, reporting requirements, data lineage considerations and dashboard priorities.
03 · Validate
Test security, data integrity, performance and real-world workflows.
04 · Improve
Document ownership, support needs and continuous improvements.
COMMON QUESTIONS
Frequently asked questions
Why do dashboards sometimes show conflicting totals?
Different definitions, refresh times, filters or source records can produce mismatches.
How often should analytics refresh?
Based on decision urgency, source availability and processing cost.
What is the first step in BI?
Identify the decisions users need to make and define trustworthy measures.
CONNECTED CORE1 SOLUTIONS OFFERINGS
Explore related products and services
See how this capability can complement Core1ERP, business applications and professional services.
LET'S DISCUSS YOUR PROJECT
Plan your business intelligence & analytics initiative
Tell Core1 Solutions about your environment, requirements and business goals.
Request a consultation →