CWall’s Blog

FileMaker, overlooked by some, has serious potential in sports analytics, offering rapid development, dynamic visualizations, and user-friendly reporting for solo operators or small teams. In the past two years I’ve created over a dozen innovative real-world examples, thus advance this bold claim with receipts in hand.

For premium user experience, a dab of motion bumps everything up a notch. Micro-interactions may be small in scale, but their impact on user experience is profound. When implemented thoughtfully, they transform interfaces into intuitive, engaging, and efficient systems.

Spring ushers in big AI news for the Claris platform, especially for FileMaker and FileMaker server. Claris Engage featured an array of rich explorations into AI with the mothership unveiling some of what is coming later this year in the next FileMaker release. Hint: AI is at the core of coming enhancements.

Averages like points per game or yards per carry dominate football stats, but they’re skewed by outliers. The mid-mean, averaging a middle sample of data, offers a more reliable metric. See how various statistical metrics benefit from this alternative, and learn to calculate it in FileMaker.

My summary here. Hope I can edit.

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