What this service is
Business Intelligence turns fragmented operational data into governed definitions, decision-ready measures, and clear reporting so leaders can see performance, risk, ownership, and the next action from one trusted view.
B
B — Single Point of Truth
Business Intelligence
Answer first
Business Intelligence turns fragmented operational data into governed definitions, decision-ready measures, and clear reporting so leaders can see performance, risk, ownership, and the next action from one trusted view.
Executive decision guide
What leaders need to know.
One decision-grade view of performance, risk, and action.
Who it is for
Executives, boards, finance and operational leaders, data and analytics leaders, program offices, and teams that depend on consistent performance and risk information.
The business problem it solves
Leaders receive competing reports, inconsistent definitions, delayed measures, or dashboards that describe activity without enabling a decision. Data ownership, quality, lineage, access, and action thresholds may be unclear.
What SFG delivers
- Decision and information requirements map
- Governed KPI and measure definitions
- Data-quality and ownership assessment
- Executive dashboards and operational views
- Reporting cadence, exception rules, and action pathways
Evidence and outputs you receive
- Source-to-measure lineage
- Approved metric definitions and owners
- Data-quality findings and remediation priorities
- User-validated reporting prototypes
- Decision and action log showing how reporting will be used
Recommended next step
Select one high-value decision or reporting pack that leaders do not currently trust. SFG will trace the sources, definitions, owners, and actions needed to establish a credible Single Point of Truth.
Discuss this service ↗What the work can include
Decisions and actions the information must enable
We define the decision, owners, evidence, controls, and adoption conditions before committing to a solution.
Source ownership, definitions, quality, lineage, access, and retention
We define the decision, owners, evidence, controls, and adoption conditions before committing to a solution.
KPI, KPR, OKR, and guardrail measures where appropriate
We define the decision, owners, evidence, controls, and adoption conditions before committing to a solution.
Dashboards, alerts, exception handling, and review cadence
We define the decision, owners, evidence, controls, and adoption conditions before committing to a solution.
Remediation for unreliable or ungoverned information
We define the decision, owners, evidence, controls, and adoption conditions before committing to a solution.
One governed picture. One accountable next move.
B / Business IntelligenceThe SFG CBA Framework
Improve. Inform. Then accelerate.
AI is introduced after the process, decisions, information, controls, and people affected are understood. This sequence protects value and prevents technology from scaling avoidable waste.
CBA
Continuous Improvement
Clarify the outcome, map the real work, remove friction, and establish ownership.
Business Intelligence
Govern the information, definitions, measures, access, and decisions the work requires.
AI and Automation
Apply the least-complex responsible technology after the foundations are ready.
How engagement begins
01
Frame
Clarify the consequential outcome and decision.
02
Diagnose
Expose friction, information gaps, and readiness.
03
Prove
Design a bounded intervention with evidence.
04
Scale
Expand only when value, controls, and adoption are visible.
Executive buying questions
Frequently asked questions.
Concise answers to the questions leaders commonly need resolved before commissioning this work.
Is Business Intelligence just a dashboard project?
No. The dashboard is the visible layer. The core work is agreeing the decisions, measures, definitions, ownership, quality, access, and action rules that make the information trustworthy.
Can SFG work with Power BI and Microsoft Fabric?
Yes. SFG can design decision and governance requirements for Power BI, Microsoft Fabric, and the wider Microsoft data estate while keeping the business outcome ahead of the platform.
What if our data quality is poor?
Poor quality should be made visible rather than concealed. SFG identifies material gaps, assigns ownership, and designs proportionate remediation or decision guardrails before advanced analytics or AI depends on the information.
A practical next step
Discuss Business Intelligence in the context of one important business outcome.
A focused executive conversation will clarify the outcome, operating constraints, evidence available, and whether this capability is the right place to begin.