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Technology,
Media & Telecom

Put Investment Behind the Growth that Matters

5-15 %
15 %
15-35 %

Make Decisions that Protect Liquidity and Drive Growth

Project & Resource Utilization

  • Expose over- and under-utilisation across projects
  • Reallocate scarce skills across competing priorities
  • Protect delivery without wasting specialist capacity

Stop overloading critical teams while specialist capacity sits underused elsewhere. Match active and planned projects to available skills, internal teams and contractors, then expose over-allocation, idle capacity and competing priorities before they affect delivery. Compare project sequencing and resource-allocation choices with utilisation, deadlines and margin visible upfront. Rebalance resources across the portfolio as demand changes, keeping scarce expertise on the work that creates the most value.

5+pp

Resource utilization

+6–8pp

Project fulfillment

Subscriber, Average Revenue per User & Churn Analytics

  • Detect Average Revenue Per User erosion before downgrade or churn
  • Explain Average Revenue Per User and churn drivers by segment
  • Prioritise treatments by customer value

See what is driving subscriber value up or down before revenue starts to erode. Combine usage, plan, billing, service experience, offers and engagement to explain ARPU movement, upgrade and downgrade behaviour, and churn risk by segment. AI identifies the patterns behind those changes, while customer value and intervention cost shape the next action. Decide where to retain, upsell, migrate plans or redesign an offer, then measure the incremental revenue and retention impact.

+5–15%

Average Revenue Per User

Up to

15%

Lower customer churn

Network Capacity & Capex Investment Planning

  • Connect traffic demand to network capacity
  • Identify congestion and investment needs early
  • Rank upgrades by value, service and risk
  • Test build, defer and optimise scenarios

Invest in network capacity before congestion becomes a customer problem. Connect traffic forecasts, service targets, asset condition and current capacity to future demand, then compare upgrade, densification, optimisation and defer scenarios across the network. AI spots emerging congestion and growth patterns early, while planning teams quantify the impact on customer experience, resilience, deployment cost and economic value. Capital can then be directed toward the locations and interventions that create the strongest service and financial return, with the trade-off behind each investment kept explicit.

15-35%

Lower network upgrade Capex

15-30%

Lower network Opex

Media Campaign & Content Performance

  • Connect content investment to audience outcomes
  • Separate engagement from subscription and revenue impact
  • Identify assets that create incremental value

Connect campaign and production investment to audience behaviour, conversion, subscription and commercial outcomes, then compare channels, formats and segments on incremental value. Your teams can see where engagement is translating into business performance and redirect production or media spend accordingly. This keeps creative decisions tied to revenue impact and reduces investment in content that looks successful but fails to move the customer.

+10–15%

Revenue from personalization

+10–30%

Marketing-spend efficiency

Recurring Revenue & Subscription Planning

  • Forecast new, retained and expanded recurring revenue
  • Model price, churn and upsell assumptions
  • Compare growth scenarios before setting targets

Your recurring revenue depends on your users. This system ties new sales, lost accounts, upgrades, and customer groups straight to your cash flow and margins. AI tracks these groups to flag patterns before they become problems. Both sales and finance teams run their growth tests from this single model. You will always know exactly how to close a revenue gap. It keeps your daily subscription strategy and your big-picture financial goals aligned month after month.

+5–15%

Average Revenue Per User

Up to

15%

Lower customer churn

Project Profitability & Margin Tracking

  • Connect delivery effort to project economics
  • Track utilisation, cost and revenue together
  • Detect margin erosion before project completion
  • Model staffing or scope recovery actions

Catch project margin erosion while there is still time to recover it. Combine contracted scope, revenue, labour effort, utilisation, external cost and forecast-to-complete in one live profitability view, then trace pressure back to staffing, scope, rate, delay or productivity. Delivery leaders can test recovery actions and see the impact on margin and schedule before committing. Profitability becomes an operational control point throughout delivery, visible while action can still protect the outcome.

+10–15%

Project productivity

4–6%

Project costs savings

Demand Forecasting and Planning

  • Forecast traffic, service or content demand
  • Model events, launches and customer behaviour
  • Align capacity and financial plans

Anticipate the demand your network, products and teams will have to support. Forecast traffic, digital-service usage, content demand or technology capacity using historical behaviour, launches, campaigns and external events. AI detects changing patterns early, while Natzka translates the forecast into infrastructure, workforce and financial implications. Commercial, Product and Operations can align on one scenario before demand becomes a service constraint or triggers unnecessary capacity investment.

+10–12%

Forecast accuracy

Up to

65%

Less lost sales / unavailability

Churn Prediction and Retention Analytics

  • Use AI to identify high-risk subscribers early
  • Explain service, usage and price drivers
  • Target retention by expected customer value

Act on churn before the customer relationship is already lost. Combine usage, service quality, billing, price and engagement to identify at-risk customers and expose the drivers behind the change. AI prioritises the customers and patterns that matter, while retention actions are evaluated against customer value, expected uplift and treatment cost. Test what actually changes behaviour, reducing blanket discounting and building a more disciplined retention engine.

Up to

15%

Lower customer churn

+10–15%

Personalization revenue

Customer Segmentation & Lifetime Value

  • Segment customers by behaviour and economics
  • Turn segments into offer, service and retention actions
  • Prioritise offers by lifetime value

Combine usage, product mix, engagement, service experience and Lifetime Value to identify meaningful customer groups, then connect each segment to offer, service, retention and cross-sell decisions. AI spots emerging behavioural groups as they develop. Measure whether differentiated treatment improves growth and retention, allowing the segmentation to evolve continuously with customer behaviour.

+10–15%

Revenue from personalization

+10–30%

Marketing-spend efficiency

Workforce Planning and Forecasting

  • Forecast skills needed by product and project
  • Model hiring lead time and attrition
  • Compare employees, contractors and partners
  • Connect workforce choices to delivery and budget

Plan scarce technical talent against the work the business has actually committed to deliver. Forecast workforce needs by role and skill using project demand, product roadmaps, service load, attrition and hiring lead times, then compare employees, contractors, partners and redeployment options. The effect on delivery capacity and budget is visible before commitment. Technical skills become a portfolio resource, helping leadership close capacity gaps across teams before they become delivery bottlenecks.

80%

Faster staffing & hiring time

+10–15%

Workforce productivity

Profitability Analysis

  • Connect revenue to service and delivery cost
  • Compare margin by product, customer and contract
  • Test pricing and portfolio actions

Find the products, customers and contracts that genuinely earn their complexity. Connect recurring and project revenue with infrastructure, service, delivery, support and acquisition costs to expose true profitability by segment. Trace margin back to the operational and commercial drivers behind it, then test pricing, service-level or portfolio changes before acting. This gives leadership a clear basis for deciding where to grow, where to redesign the offer and where complexity is quietly consuming value.

5%

Revenue growth

+4–8%

Margin

customer CASES

Intelligent Decisions,
Built to Deliver

Hyphen turns content production into smarter commercial decisions

Content production was already streamlined, but cost, performance and commercial impact still lived in separate views, making it difficult to know where each production investment created value.

What Natzka implemented

Natzka brings production costs, product priorities and sales performance into one decision context, helping teams prioritise content, reuse existing assets and direct investment where it can perform best.

Read Customer Case
$ 3 M

estimated production cost savings per 1M images produced

10-20 %

estimated increase in digital sales performance per client

Turn component lifing into a decision made before race day

Thousands of high-value components move across cars, sessions and races. Manual lifecycle tracking made preparation slower and made it harder to know exactly when each part should be replaced.

What Natzka implemented

Natzka combines component history, mileage and race data in a live decision model, anticipating replacement needs, preparing logistics earlier and automating post-race lifing analysis.Lifting Proactive Monitoring

Read Customer Case
80 %

faster race logistics preparation time

80 %

faster post-race reporting time

Keep customer commitments on track as constraints change

Sales, inventory and production decisions spanned multiple operating companies, making shortages and capacity constraints harder to see before they affected delivery.

What Natzka implemented

Natzka brings demand, stock, production and purchasing into one decision flow, surfacing constraints earlier and helping teams prioritise the actions that protect delivery and working capital.

Read Customer Case
60 %

less time required for operational analysis

16 %

savings in emergency purchases, expedites and production interventions

Integrations

Works Perfectly with Your Existing Stack

FAQs

Frequently
Asked Questions

Yes. Natzka allows for industry-specific model tuning, ensuring AI insights align with your business needs and deliver tangible results.

No. Unlike traditional platforms, it eliminates SQL, JOINs, and indexes, making it easy for teams to organize and access data without technical barriers.

Yes, as long as data can be exported, the platform seamlessly integrates with ERP systems as well as other tools, ensuring consistency and efficiency across all processes.

Implementation timelines depend on project complexity, but our focus is to simplify the implementation logic and speed up the average time required by other tools on the market. Timing is critical and Natzka is designed for smooth and efficient integration, minimizing disruption. For more precise information you can contact us.

It consolidates tools into one seamless system, simplifies workflows, and provides predictive insights, enabling businesses like yours to scale smarter and act with confidence in an ever-changing environment. Do more with less, by reducing redundancies and cutting costs.

By providing a clear and unified view of the business, Natzka enables faster, data-backed decisions. It translates complex data into actionable insights, aligning with your strategic priorities.

47 %
33 %