Multiple developers were on the morning meeting. Bryan had some questions about a new report that was needed. Once we were done, Wayne jumped in and had a number of ideas and questions. One of Wayne's suggestion for Bryan was using black box technology and then using an include on the black box pages. That is a way to get a one-to-many out of the black boxes. Each corp would have its own page by corp id number (normal black box) and then virtually include a centralized include file. Great idea.

Steve and Wayne were talking about server stuff and cluster stuff. We are needing some new servers and trying to get some cluster stuff going. Lots of needs and trying to see what happens and how things grow and spread. On our side, we are seeing more and more need to see where corps are at, where they are going (growth models), and even planning for the future. Trying to stay on the top side of things.

Talking with Eric about special accounts. We talked about our next round on this project. We are hoping to deal with some of the newly requested rules for the customer loyalty points. Below is a possible list of new rules for the loyalty points.

- More possible rules...
- Limit by customer type (list)
- Maybe exclude by single items (list)
- Maybe a date range - program start date and program end date (strings or dates)
- Showing a dollar value on the receipt (toggle) - we currently already have a toggle to show the points on a customer receipt, but we haven't been showing the dollar amount, just the point amount.
- Maybe look at parent attribute as a include/exclude (list) - not tons of requests on this one yet

Steve and Eric were talking about aggregated data. Steve was talking about scratch reports (perfect report per day) and then moving on to aggregation once the scratch reports are correct. Small little reports per day and then turning it into a reoccurring task that is done after hours and even populated back into the enterprise system. Extract, transform, load - and other data warehouse type levels. We were also talking the difference between true data warehousing vs simple roll-up and small aggregated data. We even were talking about future and down the road options. A true data warehouse is deep and plays on the analytical levels and even clear out to the deep business intelligence (BI) stuff.

Working with Steve on some of his API socket stuff. Small work session. He is making great progress. After the work session, we split up and worked on our own projects. Busy times.