Read-only · CFO-ready

NexCache Insights

See What's Costing You Before You Change Anything

Insights is read-only OTT bandwidth intelligence for enterprises that need defensible numbers. Map cacheable streaming, quantify savings scenarios, and align networking, security, and finance on one dataset—without touching packets in-line or re-architecting your edge.

What it does

Directional clarity on OTT bandwidth—not another noisy dashboard

Insights passively correlates what is being streamed with how much capacity it consumes. The output is executive-ready: where money leaks, what share is theoretically cacheable under your policy constraints, and how sensitive those findings are to different assumptions.

  • Observe enterprise OTT workloads as they present on the network today—no requirement to pre-label every app or destination.
  • Classify traffic into cacheable vs non-cacheable buckets using conservative rules your security team can review.
  • Quantify savings bands tied to confidence levels, so procurement sees a range—not a single magic number pulled from a vendor spreadsheet.

Read-only architecture

Designed so security can say yes on day one

Insights does not terminate TLS for content inspection, does not inject inline devices into subscriber paths, and does not build viewer-level profiles. It is engineered as an observability layer that sits beside production—not in the critical forwarding path.

Non-intrusive collection

Telemetry is gathered using patterns that preserve segregation of duties. Analysts see aggregates; sensitive payloads stay untouched.

No key custody changes

Insights never asks for DRM keys or content decryption. Measurements reference metadata and flow characteristics your team already logs.

Policy-aware math

Cacheability estimates respect studio rules, geo-fencing, and contractual carve-outs so projections mirror how you are allowed to optimize.

What it identifies

From raw congestion to actionable streaming economics

Insights translates packets into narratives: which OTT categories dominate peak hours, how much volume repeats across sites, and where edge caching would bend the cost curve without fighting your compliance posture.

Cacheable traffic fingerprints

Spot repeated segment fetches, long-lived sessions, and library-style consumption that maps cleanly to on-prem encrypted caching.

Savings opportunity curves

Model how bandwidth savings accrue as cache hit rates improve—grounded in your actual duty cycles, not generic industry benchmarks.

Executive-ready evidence

Export-friendly summaries that plug into board packs, CapEx requests, and sustainability reporting with transparent assumptions.

Operational playbooks

Prioritize pilot sites, quantify risk if traffic shifts, and give networking teams a checklist before any hardware lands.

Methodology

Savings model built for scrutiny, not slogans

Every projection ties back to observed throughput, time-of-day composition, and pricing inputs you validate. We expose levers—cache hit sensitivity, contract ramp, site clustering—so finance can stress-test outcomes the same way they would any other infrastructure program.

  1. 1Baseline metering aligned to your billing intervals and peering realities
  2. 2Conservative cacheability gates that exclude grey-area traffic by default
  3. 3Scenario layers for hybrid work patterns, seasonal spikes, and new content drops
  4. 4Confidence scoring that widens or narrows bands as sample depth increases
Baseline confidenceScenario stack
Cacheable share (lower bound)Scenario stack
Upper scenario (aggressive rollout)Scenario stack

What buyers receive

Artifacts that survive procurement, security, and the board

Assessments conclude with a concise evidence package—data cuts your teams can re-run, narrative slides for executives, and technical annexes for architects who need to validate every assumption.

Traffic & cost diagnostic

Time-series dashboards, peak overlays, and site-level heat maps with drill-downs for networking owners.

Savings projection workbook

Editable model tying bandwidth unit economics to cache hit sensitivities and deployment phasing options.

Stakeholder readout

Workshop-ready storyline connecting Insights findings to NexCache Edge when you choose to operationalize savings.

Why it's low risk

No inline manipulation. No packet surgery. No viewer surveillance.

We built Insights for enterprises that have already said no to invasive middleboxes. If your policy forbids TLS break-and-inspect for entertainment traffic, Insights still delivers—because it never needed those powers in the first place.

No inline deployment

Avoids bump-in-the-wire designs that add failover complexity and latent latency to every session.

No deep packet inspection of content

We do not decrypt streams to identify titles or scenes. Classification uses conservative signals you approve.

No user-level tracking

Insights reports on aggregates and flows—not individuals—so HR, legal, and employee councils see an ethical footprint.

Inside the assessment

A dashboard your teams will actually trust

Representative layout of how Insights surfaces cacheable mix, confidence-bounded savings, and trend lines. Every element maps to exportable tables so you are never stuck with a pretty picture and no underlying data.

NexCache Insights

OTT bandwidth intelligence

Read-only · No inline · No PII

Last 30 daysCacheable mix

Estimated avoidable OTT volume

Week 1Week 4Week 8Week 12

Savings confidence band

42–61%

High confidence segment

Top cacheable apps

  • Category A38%
  • Category B27%
  • Category C18%

Projected run-rate reduction

Illustrative visualization — actual charts reflect your traffic taxonomy and billing inputs.

Start with a read-only NexCache Insights assessment

We will scope data access, align on classification rules, and return a savings narrative your CFO, CISO, and network lead can co-sign. If you choose to deploy NexCache Edge afterward, you are executing on numbers you already validated.