Enterprise IT Solutions

Data & Analytics for Business Insight

From operational data capture to analytics platforms for business and IT teams.

From operational data to insight

Many companies collect ERP, POS, and sensor logs but lack infrastructure for fast, reliable reporting.

Meaningful analytics needs performant storage, ETL pipelines, and data access governance — not BI licenses alone.

Supporting infrastructure

Dedicated servers or VMs for warehouse databases, mid-scale data lake storage on NAS/SAN, and backup separate from production.

Intilogy focuses on infrastructure foundations; dashboards can be built with your internal team or partners.

Security and compliance

Analytics often aggregates sensitive data — access segmentation, encryption, and audit logging belong in the initial design.

Phased roadmap

Start with a narrow use case (e.g. sales reporting) before expanding to predictive maintenance or IoT analytics in manufacturing.

Industries we serve

Retail · Manufacturing · Corporate

From operational data to insight

Many companies collect ERP, POS, and sensor logs but lack infrastructure for fast, reliable reporting.

Supporting infrastructure

Dedicated servers or VMs for warehouse databases, mid-scale data lake storage on NAS/SAN, and backup separate from production.

How we work

Structured delivery from assessment to handover

Each phase has clear deliverables, owners, and acceptance criteria aligned to enterprise IT practice.

Approach

Security and compliance

Analytics often aggregates sensitive data — access segmentation, encryption, and audit logging belong in the initial design.

Capabilities

Phased roadmap

Start with a narrow use case (e.g. sales reporting) before expanding to predictive maintenance or IoT analytics in manufacturing.

Use cases

Reporting

Light data warehouse

Metrics

Dashboards

Data & Analytics for Business Insight

Our engineers help design, deploy, and support enterprise IT solutions across Indonesia.

Request a quote Contact our team

Case studies

Studi Kasus Terkait

Proyek nyata di lapangan — tantangan spesifik, solusi terukur, dan hasil yang terdokumentasi.

OCR AI Product Ordering for Enterprise

Industry Retail / Distribution

Challenge <p>The manual order processing resulted in an average of 12% data entry errors, causing shipment delays and inventory discrepancies. Each order took 15 minutes to process manually, leading to a backlog of 2,000 orders pe

Result <p>Post-implementation, order processing time dropped from 15 minutes to 30 seconds per order, a 97% reduction. Data entry errors decreased from 12% to 0.5%, virtually eliminating shipment errors. Inventory accuracy impr

Transforming Industrial Safety & Efficiency with Edge AI Computer Vision

Industry Industrial / Mining / Manufacturing / Logistics

Challenge Managing expansive heavy industry environments inherently creates operational blind spots. Workplace accidents and asset breakdowns occur because human supervisors cannot constantly monitor thousands of critical points i

Result The implementation of this Computer Vision ecosystem delivered a measurable Return on Investment (ROI) in under six months:

Related pages

Ready to discuss architecture & BoQ?

Our team supports assessment, recommendations, procurement, and documented implementation.

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