Enterprise Analytics

Data Analytics & Business Intelligence Services

Turn disconnected reports into a consistent view of business performance. SDLC Corp helps enterprise teams plan analytics, implement BI, modernize reporting and connect operational data with clear ownership and shared KPI definitions.

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Business sourcesShared KPI modelReporting review

Enterprise delivery experience

3,400+Projects delivered company-wide

1,200+Engineers across SDLC Corp

30+Countries served

Analytics reporting challenges

Conflicting numbers

Agree calculation rules, reporting cutoffs and metric owners before building another dashboard.

Manual reporting cycles

Reduce repeated data preparation with scheduled pipelines and documented validation checks.

Reports people cannot use

Design around business roles, practical questions and the level of detail each audience needs.

Data analytics and BI capabilities

Analytics strategy and consulting

Prioritize reporting needs, agree metric definitions and build a delivery roadmap around the decisions your teams make.

Business intelligence implementation

Our business intelligence implementation services cover governed models, Power BI, Tableau and reporting rollout.

Reporting and dashboards

Bring finance, sales, service and operations KPIs into role-specific views with clear reporting periods and drill-down paths.

Data visualization

Make complex information readable through charts, interactive reports and accessible dashboards that explain what changed.

Analytics platform modernization

Modernize aging reporting tools in validated phases. Use data engineering services for pipelines and platforms when the underlying data foundation needs work.

Enterprise and operational analytics

Connect reporting across ERP, CRM and business applications to compare performance using consistent dimensions.

Customer analytics use cases

Customer segmentation and behavior

Group customers by agreed attributes and observed purchase or service behavior. Compare segments, journeys and channel activity using consistent reporting periods.

Retention and customer lifetime value

Track repeat activity, retention cohorts and customer lifetime value using documented revenue, margin and time-window definitions.

CRM performance reporting

Connect CRM activity with customer and account reporting to review engagement, service history and conversion by segment. Apply appropriate consent and access controls.

Enterprise analytics integrations

ERP and CRM systemsPower BI and TableauSQL data warehousesCloud data platformsBusiness APIs and filesIdentity and access controls

Platform choices depend on your existing environment, approved interfaces, licensing and security requirements. We assess these before recommending an implementation.

Enterprise analytics and BI architecture

01Business sources
02Validated data
03Shared KPI model
04Dashboards
05Reporting review

Access controls, validation and monitoring apply across the delivery path. We adapt this architecture to your source systems and reporting requirements.

Analytics for enterprise operations

Oil and Gas Analytics Services

Bring production, maintenance and operational reporting into a consistent business view.

Transportation and Logistics Analytics

Connect shipment, fleet, warehouse and delivery data in practical reporting views.

Retail Analytics Services

Bring sales, inventory and store reporting into a consistent view.

Energy and Utilities Analytics Services

Create a consistent view of generation, assets, service and operational performance.

Relevant enterprise delivery

Explore enterprise projects that connect business systems and reporting. Each case study explains the original implementation scope and results.

QuantusTechnik enterprise reporting

Odoo connects six departments, bringing sales, inventory, finance and service workflows into one enterprise system.

Read the QuantusTechnik case study →

Transworld Logistics integration

An integrated Odoo platform connects logistics workflows and document records for operational visibility and reporting.

Read the Transworld case study →

Our analytics implementation process

Discover

Review decisions, reporting pain points, data access and current tools.

Define

Agree scope, KPI calculations, owners and acceptance criteria.

Build

Implement data connections, reporting models and dashboard views.

Validate

Reconcile source figures and test access, refresh and usability.

Adopt

Train users, document support and review reporting quality.

A delivery plan your teams can maintain

Business definitions first

Agree reporting questions, measures and ownership before implementation.

Connected engineering

Plan reporting, integration, quality checks and access together.

Documented handover

Provide model definitions, operational notes and user guidance for the agreed scope.

Scope, cost and engagement options

Effort depends on source access, data condition, reporting complexity, security rules and the rollout footprint. Discovery establishes the delivery scope, acceptance criteria and a project estimate.

Start with a scoped assessment, deliver an agreed implementation in phases, or extend your team for ongoing engineering and reporting support. Licensing, hosting and support responsibilities are agreed before delivery.

Data Analytics & Business Intelligence Services FAQs

What do data analytics services include?

They include reporting strategy, BI implementation, dashboards, data visualization and modernization of the platforms that support enterprise reporting.

How is this different from AI development?

Analytics focuses on trusted metrics and reporting. Machine learning, AI agents and generative AI applications belong to our AI services; data engineering can support both.

Can you work with our existing BI platform?

Yes. We first assess your current tools, licensing, data access and reporting needs, then recommend reuse or a phased modernization plan.

What determines analytics implementation cost?

The number and condition of data sources, KPI complexity, security requirements, migration scope and support model determine effort. Discovery establishes a scoped estimate.

Industry reporting applications

Telecom and manufacturing analytics use cases

Apply governed business reporting to operational data without duplicating AI development or industry ERP services.

Telecom operations reporting

Bring together network performance, service incidents, call detail records and revenue assurance indicators into role-based dashboards. Review customer churn trends and segment performance using agreed business definitions.

Manufacturing performance reporting

Track production throughput, downtime, defects, maintenance activity, inventory and quality KPIs across plants and systems. Connect ERP and shop-floor reporting to help teams investigate operational exceptions.

Discuss your data and reporting priorities

Tell us about your current systems, reporting priorities and delivery constraints. Our team will review the requirements and discuss the next steps.

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