There exists a meaningful distinction between quarterly and monthly datasets. Quarterly reports provide greater detail, revealing strategy performance, investor composition, and portfolio management approaches. However, experts recommend leveraging data warehouse capabilities and automation for monthly data distribution as well. Every investor wants to know your most current performance on a timely, monthly basis.
Why Quarterly Datasets Matter
Investors and analysts depend on quarterly reports to evaluate company health. These reports demonstrate investment strategy performance over specific periods, with statistics on holdings and investor details indicating firm success.
Common quarterly report features include quantitative information: Firm/Product AUM, Personnel, Vehicle Portfolio Characteristics, Holdings, and Performance. Additional datasets requiring frequent updates include Fees, Bios, and Narratives—often called static fields, but these require regular attention in today's evolving landscape.
Quarterly Reporting Process
Quantitative datasets need updating for transparency in customer assessments. Asset managers submit data through APX Stream templates, custom-coded templates, or API connectivity. The data warehouse verifies information for outliers and errors, then distributes data to applicable destinations using investment data management tools. Data reconciliation ensures correct transfer to specified destinations, with automation handling standard or custom coding.
Marketing strategy determines distribution timeliness and frequency. Narrative updates should be reviewed regularly for strategy changes, including ESG initiatives, diversity efforts, biographies, and fee structures.
Data Publication Strategy
Publication decisions depend on consultant database marketing and branding. Public database access means competitors scrutinize your data closely. Strategic publication protects competitive advantages while attracting new investors through selective transparency.
Simplifying Investment Data Management
"Easier" means having one centralized location managing all data, allowing teams to focus on assembly while automation handles distribution and verification. Automation reduces distribution and reconciliation from weeks to minutes.
Critical guideline: Complete quarterly data updates in Month 1 of the quarter. Extending into Month 2 creates excessive burden.
Recommended Submission Schedule
- Performance: Business Day 5
- Holdings: Business Day 10
- AUM & Portfolio characteristics: Business Day 12
- Personnel: Business Day 15
Investors prefer reliable, timely asset managers. When investors must search for data, they begin seeking alternatives. Due diligence remains crucial to continued investment relationships.
Senior Data Analysts' Recommendations
Making Quarter Loads Easier
- Assemble data early for timely database distribution
- Maintain consistency in data assembly methods and timing
- Use rollover features for unchanged data (personnel, narratives, fees, bios)
- Employ pre-coded templates for automatic data migration
- Automate assembly by connecting to accounting software outputs
Best Practices
- Utilize self-launch distribution features (reducing days to minutes)
- Implement independent reconciliation software for data integrity control
- Automate internal data activities to reduce hours and errors
- Ensure accurate data upfront to avoid restatements
- Establish efficient file naming conventions
- Eliminate manual copying and coding; standardize accounting outputs
- Follow these practices to gain time for thoughtful data strategy, reduce deadline stress, and prevent inaccurate distribution
Conclusion
Investors and analysts rely solely on reporting to gauge company health. Timely data submission—monthly or quarterly—creates a cascade effect: faster distribution leads to quicker firm searches, increased client inquiries, and growing AUM.