A focused course, tailored for you
The Portfolio Manager's Course on Building an OLAP-Driven Investment Dashboard When Market Volatility Rises
Turn fragmented data and manual reporting into a single, audit-ready OLAP view that drives faster investment decisions.
Stop rebuilding the same performance spreadsheet every month while senior leadership questions the accuracy of your data.
Includes a hand-built implementation playbook delivered alongside course access, generated for your specific situation.
Why this course
Your team spends countless hours stitching together Excel sheets, SQL extracts, and ad-hoc PowerBI visuals to answer the same senior-leadership questions each month. The data pipeline is fragile, the definitions drift between analysts, and any change in market conditions forces a scramble to re-run calculations. When the quarterly performance review arrives, you risk missing deadlines or presenting inconsistent numbers, which erodes confidence from the CIO and the investment committee.
Compounding the friction, the compliance function demands a traceable audit trail for every model input, yet the current reporting artefacts live in scattered SharePoint folders and personal drives. The lack of a unified OLAP cube means you cannot quickly slice performance by asset class, geography, or risk factor, forcing you to rely on manual pivot tables that are error-prone and time-intensive. The stakes are high: a delayed or inaccurate report can trigger portfolio re-balancing errors and jeopardize fund performance metrics that drive your compensation.
With the market increasingly volatile, senior stakeholders expect real-time insight and a defensible methodology. Without a solid data foundation, you risk being sidelined in strategic discussions, and the effort spent on data wrangling could be better spent on alpha generation.
What you walk away with
- Create a production-grade OLAP cube that consolidates all investment data sources.
- Generate a single performance dashboard that updates automatically each market close.
- Document a repeatable data-governance process that satisfies compliance audits.
- Accelerate quarterly reporting from days to hours with a reusable template.
- Demonstrate portfolio risk attribution to senior leadership in a single visual.
The 12 modules
How this addresses your situation
Specific modules that map to what you said you are dealing with.
What you get with this course
- A populated data source register with 25 pre-identified feeds.
- A complete OLAP schema diagram.
- ETL script library with scheduled jobs.
- Validated metric definition sheet.
- PowerBI performance dashboard file.
- Data governance RACI matrix.
- Automation scripts for refresh scheduling.
- Audit evidence pack documenting lineage.
- Scenario analysis workbook.
- Stakeholder briefing deck.
- Quarterly performance review playbook.
- Extension roadmap document.
What you will have in hand by Day 1, Week 1, Month 1
Day 1: tailored playbook in hand, source register template pre-populated for your environment, ETL script starter.
Week 1: first version of the OLAP cube live, performance dashboard shared with the investment committee.
Month 1: recurring quarterly reporting cycle running from the new cube with zero manual reconciliation.
Before and after
Your current reporting stack lives in scattered Excel files, ad-hoc PowerBI reports, and personal SharePoint folders. Data lineage is undocumented, compliance requests trigger frantic email chains, and quarterly decks take days to assemble, often with mismatched numbers that erode senior confidence.
After the course you have a single, production-grade OLAP cube, an automated dashboard that updates at market close, a ready-to-submit audit evidence pack, and a repeatable playbook that lets junior analysts generate quarterly reports in hours, giving you credibility with the CIO and compliance teams.
What happens if you do not address this
If you ignore this gap, the next quarterly review will arrive with inconsistent numbers, forcing you to explain delays to the CIO. The compliance audit scheduled in Q3 will likely request a full data lineage, and without an evidence pack you will face remediation work that could cost weeks of effort and damage your credibility.
Who it is for
A mid-career alternative investments portfolio manager who runs daily performance analytics, builds quarterly investment decks, and coordinates with risk, compliance, and the CIO office. They juggle data extraction, model validation, and stakeholder reporting while navigating tight deadlines and regulatory scrutiny.
How it arrives
Within 24 hours of purchase your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it. The playbook is hand-built around your specific situation, not LLM-generated boilerplate.
Time investment. 6 hours of focused work spread over a week, saving an estimated 30-40 hours of internal data-wrangling time.
Why $199 is the right number
A half-day consultant would charge $3,000 for a similar OLAP setup, a generic compliance certification costs $1,200, and building this yourself could consume 60+ hours of analyst time. At $199 you get a complete, reusable solution with immediate ROI.
FAQ
30-day money-back guarantee. If after a week of working through the materials this is not what you needed, reply to the receipt email and a full refund is processed. No questions, no forms.
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.