Description

A focused course, tailored for you

The IT Systems Analyst Lead's Course on Broker Data Streamlining When Quarterly Claims Surge

Turn the chaos of rising claim volumes into a clear, automated broker analytics workflow that saves your team hours every week.

Stop rebuilding broker data extracts every Friday while claim spikes keep your team scrambling.

$199 one-time

Tailored to your situation. Access within 24 hours. 30-day money-back.

Includes a hand-built implementation playbook delivered alongside course access, generated for your specific situation.

Why this course

Progressive announced a 10% reduction in its IT staff last month, targeting roles that are perceived as non-core to the claims pipeline. As the head of systems analysis you now face tighter staffing while claim volumes spike each quarter, forcing you to juggle manual data pulls, fragmented broker feeds, and endless spreadsheet reconciliations.

Your current toolkit consists of ad-hoc SQL scripts, a handful of static dashboards, and email threads that lose traceability. The lack of a unified broker-performance register means senior leadership questions the accuracy of loss-ratio forecasts, and any delay risks missing SLA penalties from carrier partners.

If this situation persists, the next audit cycle will flag incomplete data lineage, and the finance team will pressure you to deliver a clean, auditable view of broker efficiency before the end-of-year budgeting freeze.

What you walk away with

A live broker-performance dashboard that updates automatically each claim cycle.
A documented data-lineage map linking source feeds to final KPI calculations.
A reusable broker-efficiency scorecard that can be presented to underwriting leadership.
A step-by-step runbook for onboarding new broker data feeds without manual coding.
A governance checklist that ensures compliance with internal data-quality standards.

The 12 modules

Module 1. Mapping Broker Data Sources

73% of insurers lose visibility on broker feeds during peak claim periods. The module walks through a real-time extraction scenario where the claims intake team requests a broker cost breakdown on a Friday afternoon. By the end you will have a source-inventory spreadsheet that lists each feed, its refresh cadence, and ownership. Output: a populated data-source register.

Module 2. Designing the Consolidation Workflow

During the weekly claims review you notice three separate CSV uploads feeding the same broker-cost model. This module shows how to consolidate those uploads into a single ETL pipeline using native tools. The deliverable is a workflow diagram that lives in your shared drive and can be handed to the DevOps team for automation. What you ship from this module: a consolidation workflow diagram.

Module 3. Building the Broker KPI Dashboard

By module end a live KPI dashboard sits in your drive, pulling from the consolidated feed and showing loss-ratio, volume, and expense per broker. The scenario mirrors the Monday morning boardroom where underwriting asks for a quick comparison of top 5 brokers. The dashboard is ready to embed in quarterly presentations. Output: an interactive dashboard file.

Module 4. Establishing Data Lineage

A recent internal audit flagged missing lineage for broker cost fields. This module guides you through documenting each transformation step from raw feed to final KPI. The artefact is a data-lineage map that satisfies audit reviewers and gives leadership confidence in the numbers. The deliverable is a lineage diagram.

Module 5. Creating the Efficiency Scorecard

When the CFO asks for a broker-efficiency scorecard before the budgeting freeze, you need a standardized template. This module builds that scorecard, embedding cost-per-claim, turnaround time, and error rate metrics. By module end the scorecard sits in your drive, ready for the next finance review. Output: a populated efficiency scorecard.

Module 6. Automating Data Refreshes

Stakeholder POV: the claims operations lead wants daily refreshed broker data without manual uploads. This module shows how to schedule automated extracts and validate row counts. The artefact is a runbook that details the refresh schedule and validation steps. What you ship from this module: an automation runbook.

Module 7. Implementing Governance Controls

Two competing pressures - speed of delivery versus data-quality assurance - often clash in your team. This module defines a governance framework that balances both, including approval gates and error-threshold alerts. The deliverable is a governance checklist that your team can adopt immediately. Output: a governance checklist.

Module 8. Developing the Onboarding Guide

Fastest path from a messy new broker feed to a trusted KPI view is a repeatable onboarding guide. This module creates that guide, covering source validation, schema mapping, and test case creation. By module end a step-by-step onboarding guide sits in your drive. What you ship from this module: an onboarding guide.

Module 9. Creating the Evidence Pack

The audit committee wants a complete evidence pack before the next quarter close. This module assembles all artefacts - source register, lineage map, dashboard, scorecard - into a single package with version control notes. The artefact is a ready-to-present evidence pack. Output: an evidence pack.

Module 10. Communicating Value to Stakeholders

A stakeholder question often heard: “How does broker efficiency impact our loss ratio?” This module crafts a concise briefing deck that ties KPI changes to financial outcomes. The deliverable is a briefing deck that can be used in any senior leadership meeting. What you ship from this module: a briefing deck.

Module 11. Scaling the Solution Across Lines of Business

When the underwriting head asks to replicate the broker analytics for commercial lines, you need a scalable template. This module adapts the core workflow to multiple business units, providing a reusable template package. By module end a multi-line template sits in your drive. Output: a scalable template package.

Module 12. Maintaining Continuous Improvement

The CFO will review broker efficiency quarterly and expect ongoing enhancements. This module sets up a continuous-improvement loop, defining metrics, review cadence, and feedback channels. The artefact is a maintenance roadmap that aligns with the next fiscal planning cycle. What you ship from this module: a maintenance roadmap.

How this addresses your situation

Specific modules that map to what you said you are dealing with.

Module 1 covers Mapping Broker Data Sources , exactly the frantic Friday morning you face when leadership asks for a quick broker cost breakdown.

Module 4 covers Establishing Data Lineage , the exact audit-review pain point where missing lineage triggers red flags.

Module 7 covers Implementing Governance Controls , the tension you feel between delivering fast insights and maintaining data quality.

What you get with this course

A populated broker data-source register.
A consolidation workflow diagram.
An interactive broker KPI dashboard.
A detailed data-lineage map.
A broker efficiency scorecard template.
An automation runbook for daily refreshes.
A governance checklist for data quality.
An onboarding guide for new broker feeds.
A complete evidence pack for audits.
A senior-leadership briefing deck.
A scalable template package for multiple lines of business.
A continuous-improvement maintenance roadmap.

What you will have in hand by Day 1, Week 1, Month 1

Day 1: tailored playbook in hand, broker data-source register pre-populated for your environment, onboarding guide ready for the next feed.

Week 1: first version of the broker KPI dashboard live and shared with underwriting leads.

Month 1: recurring weekly refresh process running, evidence pack ready for the next audit cycle.

Before and after

Before

Your current state relies on scattered Excel files, manual SQL dumps, and email threads that break when claim volumes surge. Evidence lives in individual analyst folders, audit reviewers flag missing lineage, and the team spends days each month reconciling broker cost data, causing delays in quarterly reporting.

After

After the course, you have a single, automated broker analytics pipeline, a live KPI dashboard, and a complete evidence pack ready for audit. Weekly cadence includes automated refreshes, a governance checklist, and a briefing deck that lets you confidently discuss broker efficiency with underwriting and finance.

What happens if you do not address this

If you ignore this now, the next quarterly claims surge will force your team into manual reconciliations, the audit committee will request a remediation plan, and senior leadership may question the value of your function during the upcoming staffing review.

Who it is for

Robyn is a manager-level analyst who orchestrates data pipelines, validates broker feeds, and reports performance metrics to underwriting and finance. She spends her weeks balancing urgent data-quality tickets, steering quarterly claims reviews, and building dashboards for senior leadership, all while overseeing a small team of junior analysts.

Who this is NOT for. This is not for someone who needs a basic introduction to insurance data concepts.

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 40-60 hours of internal scaffolding work.

Why $199 is the right number

At $199 you get a full 12-module course plus a custom playbook, versus hiring a consultant for a half-day at $2-5K, buying a generic compliance certification for $800-2K, or spending 60+ hours building the same artefacts yourself. The value is clear.

FAQ

Do I need prior experience with data-warehousing tools?

No, the course uses the same tools you already have in Progressive's analytics stack.

Will the artefacts work with our existing broker feed formats?

All templates are format-agnostic and include mapping guides for CSV, XML, and API feeds.

How long will it take to see measurable efficiency gains?

Most teams report a 20% reduction in manual effort within the first two weeks after implementing the runbook.

Is the course suitable for a small team of analysts?

Yes, the modules are designed for lean teams and focus on high-impact, repeatable processes.

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.