Network Investment challenges
Dependency on network planning teams to determine Next Best Investments.
Misaligned network deployment plans, marketing priorities, customer experience, and ROI
Lack of visibility to network and customer experience capacity metrics and impact of network investments to these metrics.
Inconsistencies between live networks and inventory systems impact an operator’s ability to effectively plan network growth and project revenues
Constant network changes, revisions, and updates
B-Yond’s Smart Capex Planning Solutions
Data-driven ability to determine key investment areas and nodes based on Quality of Investment. Impact of investment on ROI (site profitability) and quality/customer experience metrics such as; Application or Video Throughput, VoLTE Call Quality etc. Ability to model “What If…” scenarios such as; impact on capacity due to spectrum carve, migration, technology shutdown, and new feature introduction. Our specific solutions include:
CapEx Prioritization: Prioritization of RAN and other CapEx spends
5G Conversion Analyzer: Cost-benefit analysis on converting existing cell sites to 5G
RAN What If Analysis: What If analysis and scenario planning for converting existing cell sites to 5G
Dynamic Bandwidth Allocation: Recommendation engine based on site traffic parameters
Unique machine learning (ML) model per node based on traffic profile, long-term seasonal, and short-term traffic variations
Advanced analytics and summary dashboards indicating capacity adds and optimal solutions
Geo-spatial representation of capacity adds, key investment areas, and optimal solutions
Graph theory + Meta data + Capacity and Customer Experience data
Focus CapEx saved capital to where the maximum return on investment can be realized (ROI) and improvement in customer experience can be achieved (reduce churn).
Case Study Results: B-Yond identified over 35% of CapEx spend in a major market for a Tier 1 operator targeted at non-essential capacity expansion that was reallocated towards high return on investment assets.
Reduce lost revenue by deploying capacity where absolutely required in a timely manner.
Case Study Results: B-Yond identified 15% of market sites that had no build plans associated with them but required capacity adds due to growing traffic 12 months ahead of the need.
Maximize savings from interest, asset depreciation, operational costs, customer acquisition, and lost revenue recovery.
Case Study Results: B-Yond demonstrated potential savings opportunity of 75% in a major Tier 1 market.