The Tactile Internet is a prominent example for the need to re-evaluate the trade-off between compression and real-time needs for smaller messages from/to sensors and actuators. Considering the ultra-low latency requirements in the millisecond range, we developed a use-case agnostic low-level approach to compress the amount of data that need to be sent. Our approach combines threshold-based delta-coding for individual values (BIN) and bit-plane level flexible compression through precision reduction (BLISS). We demonstrate how realistic data savings can be obtained with low compression losses and overheads using common Tactile Internet data sets through application of our approach. We find that our agnostic and case-independent approach yields data savings over the 50% range for low compression losses for Tactile Internet scenarios.