Capture the observations
Gather information from worksheets, market feeds, and recurring snapshots.
Data analysis & visualization
Turning changing data into clear, usable tools.
See how separate customer records become a useful information source, how operating constraints shape a delivery plan, and how changing data becomes a repeatable report. Client work, fictional demonstrations, and SOLLUS research projects are identified below.
Start here · Client engagement
200+ locations. One useful information foundation.
Bring scattered customer histories together.
The engagement supported 200+ customer locations across multiple clients. SOLLUS compiled, cleansed, and structured legacy operational and financial information for centralized reporting within a larger modernization initiative.
The business result: an organized foundation for reviewing customer history and preparing reports. Mock screenshots explain the work without displaying client records.
See the migration story →The approach
Useful tools start with organized information.
The work behind these projects includes collecting information, checking its quality, organizing it for comparison, and presenting it in a form people can use again.
Keep the context
Preserve timestamps, source information, and a consistent structure.
Ask a specific question
Compare conditions, apply screening rules, and investigate changes.
Make the result usable
Bring findings into dashboards, charts, and repeatable reports.
Selected projects
Business experience and technical capabilities.
Explore an industrial client engagement, a fictional distribution demonstration, and SOLLUS financial-market research. Together, they show data consolidation, operational modeling, validation, analysis, and automated reporting.
Client engagement / Industrial business data
Data Migration & Business Reporting
Compiling, cleansing, and structuring legacy operational and financial information in an engagement supporting 200+ locations across multiple clients.
Explore the migration case study →
Supply chain & operational optimization
Halloween Candy Distribution
Compare three calculated supply, demand, and fleet scenarios. Inspect delivery routes, case quantities, DC inventory, and modeled cost across a five-day window.
Explore the supply chain case study →
SOLLUS research / Capture & validation
Market Data & Research
Collecting detailed observations and preserving history for comparison. Explore the IBKR foundation and an actual SNDK and MU database example.
Explore the data foundation →
SOLLUS research / Exploration & visualization
Options Analytics Dashboard
Explore volume and open interest by strike, compare two capture dates, and inspect the underlying contract values.
Explore the options dashboard →
Screening & reporting / SOLLUS projects
Research & Reporting
Compare butterfly candidates interactively and explore an automated Excel report built from saved market observations.
Explore research & reporting →Business connections
Put information to work in your business.
The industrial migration case study brings years of customer operational and financial history together in one source of truth. The market examples demonstrate additional ways to preserve history, explore changes, and produce reports. A business engagement starts with your data and your process.
Sales & pricing
Bring scattered records together to compare trends, understand changes, and investigate differences across products or locations.
Supply chain & operational optimization
Model inventory allocation, delivery routes, capacity, and operating scenarios around your business constraints. Compare feasible alternatives and understand resource and cost tradeoffs.
Inventory & operations
Track conditions over time and build views that help teams identify exceptions and decide what needs attention.
Recurring reporting
Replace repeated collection and preparation steps with a consistent workflow and clear, reviewable outputs.
Put your data to work
What would you like to understand better?
Talk with SOLLUS about a supply chain decision, an operational constraint, a dataset, or a recurring process that could benefit from modeling and clearer analysis.