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      Analytics & Insights Banner

      Analytics & Insights

      Turn Your Data into Decisions

      Enterprise analytics built on trusted and consistent business insights

      Analytics That Drive Business Action

      Data analytics and insights are about transforming enterprise data into decision-ready intelligence for business leaders.

      We help organizations:

      Gain a unified view of business performance
      Move from static reports to actionable insights
      Enable self-service analytics with governance
      Embed insights directly into business workflows
      One Foundation Testimonial Background
      One Foundation Logo White
      “The Microsoft Fabric Data Platform has transformed our reporting and analytics. We no longer face ERP refresh limitations and now have real-time insights across systems. This foundation positions us to leverage AI and advanced analytics for future community impact.”
      Kerry Bird, One FoundationRead Full Case Study

      Analytics and Insights Challenges

      Here are some of the common challenges organizations face today:

      Inconsistent metrics across teams

      Different functions track the same KPIs differently, leading to confusion and debate instead of alignment.

      Dashboards that inform but don’t guide

      Reports show what happened but rarely explain why or what action to take next.

      Delayed insights

      By the time reports are ready, the moment to act has already passed.

      Limited adoption outside analytics teams

      Insights live in tools few people open, rather than in the systems where decisions are made.

      Self-service without governance

      Business users build their own views, creating conflicting numbers and eroding trust.

      Our Analytics and Insights Services

      Enterprise Analytics Strategy and Design

      We help organizations define enterprise analytics frameworks aligned to business objectives, KPIs, and decision-making needs.

      Microsoft Fabric analytics workloads
      Enterprise semantic models
      Business Impact

      Clear alignment between data and business goals

      Consistent metrics across the organization

      Reduced ambiguity in performance reporting

      Executive Dashboards and KPI Frameworks

      We design and implement executive-level dashboards and KPI frameworks that provide a clear view of performance across functions.

      Power BI
      Fabric semantic models
      Business Impact

      Faster, more confident decision-making

      Real-time visibility into key metrics

      Reduced reliance on manual reporting

      Self-Service Analytics with Governance

      We enable business-led analytics while maintaining centralized governance and security along with consistency.

      Power BI self-service capabilities
      Fabric data models
      Microsoft Purview integration
      Business Impact

      Reduced dependency on IT for reporting

      Faster insight generation by business teams

      Trusted, governed analytics at scale

      Embedded Analytics and Operational Insights

      We embed analytics directly into business applications and workflows. This helps insights be available where work happens.

      Power BI Embedded
      Fabric analytics services
      Business Impact

      Higher analytics adoption

      Insights available at the point of action

      Improved operational efficiency

      Advanced Analytics and Insight Acceleration

      We build advanced analytics solutions that go beyond descriptive reporting. This helps uncover trends and drivers of performance.

      Fabric analytics & data science workloads
      Integration with Azure AI services
      Business Impact

      Deeper understanding of business drivers through data and analysis

      Early identification of risks and opportunities

      Better planning and forecasting

      Industries We Support

      Manufacturing & Supply Chain

      Leaders need visibility into production performance and outcomes to make effective decisions. Analytics brings production, inventory, and quality dashboards, along with supply chain performance analytics, into a shared operational view. While cost and efficiency insights help leaders understand how operational performance affects margins and service levels.

      Retail & Distribution

      Organizations in the retail and distribution industry operate in fast-moving markets. Decisions around pricing, inventory, and channels directly affect profitability and customer experience. Analytics provides visibility into sales and inventory analytics,supported by channel and customer performance insights. This in turn gives teams clearer demand and pricing visibility.

      Financial Services

      Financial institutions require analytics that support performance management. Analytics delivers financial performance and risk analytics, strengthens regulatory and management reporting, and provides portfolio and profitability insights. This helps leaders assess exposure and strategic options.

      Professional Services

      To protect margins firms, rely on effective management of time and delivery. Analytics enables transparency through project utilization and billing analytics, surfaces client profitability insights. It also supports decision-making with operational performance dashboards.

      Analytics Built on a Strong Data Foundation

      Analytics only works when people trust it. And trust comes from knowing that the numbers are current and consistent wherever they appear.

      Analytics & Insights at Alletec are tightly integrated with:

      Modern Data Platforms
      Data Engineering pipelines
      Data Governance & Quality frameworks

      This ensures insights are:

      Accurate
      Timely
      Consistent
      Trusted

      Why Alletec

      Analytics That Enterprises Can Depend On

      • Strong understanding of business processes and KPIs
      • Deep alignment with ERP, CRM, and operational systems
      • Proven ability to support insight-led decision-making at scale

      Built on Real Business Context

      • Experience designing analytics around how organizations operate
      • Industry exposure across manufacturing, retail, financial services, and professional services
      • Metrics defined with decision ownership and accountability in mind

      Fabric-First Analytics Delivery

      • Data analytics services delivered on Microsoft Fabric as a unified platform
      • Simplified architecture that supports scale without fragmentation
      • Consistent insight delivery across teams and functions

      Designed for Adoption

      • Focus on clarity and usability
      • Analytics embedded into everyday workflows and tools
      • Emphasis on driving usage, not just meeting delivery milestones

      Proven Across Enterprise Environments

      • Experience supporting complex, multi-system enterprises
      • Ability to scale analytics as data volumes and users grow
      • Long-term support through managed services and ongoing optimization

      From Reporting to Execution

      • Analytics aligned to real decisions, not static reports
      • Faster movement from insight to action across teams
      • Measurable impact on performance and outcomes

      Get Started

      Option 1: Analytics & Insights Readiness Assessment

      Made for: Organizations with analytics in place, but facing low adoption, inconsistent metrics, or slow decision-making.
      Duration: 1-2 weeks
      Investment: Fixed fee, credited toward full implementation
      What You Get
      • Review of existing dashboards, reports, and KPI definitions
      • Assessment of analytics adoption, trust, and usage across teams
      • Identification of gaps between reporting and decision-making needs
      • Clear prioritization of quick improvements and longer-term opportunities
      • High-level analytics roadmap aligned to business objectives

      No obligation to proceed

      Option 2: Analytics Proof of Value

      Ideal for: Organizations that want to see analytics influence real decisions before committing to an enterprise-wide program.
      Duration: 4-6 weeks
      Investment: Fixed fee, credited toward full implementation
      What You Get
      • A working analytics solution built on a focused business use case
      • Executive-ready dashboards or embedded insights using real data
      • Validation of KPI definitions, semantic models, and governance approach
      • Demonstration of Microsoft Fabric and Power BI in a real business context
      • Clear recommendation on scale-up approach and expected business impact

      Risk-contained validation before wider rollout

      Option 3: Enterprise Analytics Implementation

      Built for: Organizations ready to move from fragmented reporting to insight-driven execution at scale.
      Duration: 12-16 weeks (typical)
      Investment: Based on scope and complexity
      What You Get
      • Enterprise-grade analytics solution aligned to defined KPIs and decisions
      • Executive dashboards, self-service analytics, and embedded insights
      • Governed semantic models ensuring consistency across the organization
      • Integration with ERP, CRM, and operational systems
      • Enablement and training for business and analytics teams
      • Post-launch support to stabilize adoption

      Let's Talk About Your Analytics

      Alletec helps organizations design analytics that leaders can rely on for decision-making. We work with enterprises to bring consistency and clarity to analytics.

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      Contact Us

      Got questions about Analytics and Insights? Check out our FAQs for best answers

      Data analytics is used across enterprises to support data-driven decision making in areas such as performance management, operations, customer experience, and financial planning.

      Common use cases include:

      • Executive performance dashboards and KPI tracking
      • Operational analytics for manufacturing, supply chain, and service delivery
      • Sales, revenue, and profitability analysis
      • Risk, compliance, and financial performance reporting
      • Embedded analytics within business applications

      These use cases rely on enterprise analytics solutions built on consistent metrics and trusted data foundations.

      Data analytics consulting services help organizations move from fragmented reporting to decision-ready insights.

      They support businesses by:

      • Translating business goals into an actionable analytics strategy and roadmap
      • Designing semantic models that align metrics across teams
      • Implementing dashboards, self-service analytics, and embedded insights
      • Improving adoption by integrating analytics into daily workflows

      The result is analytics that leaders can rely on—not just reports that describe the past.

      For enterprises, analytics services deliver value beyond reporting.

      Key benefits include:

      • Consistent metrics across functions and geographies
      • Faster decisions through near real-time visibility
      • Reduced manual reporting effort and reconciliation
      • Improved adoption through governed self-service analytics
      • Stronger alignment between insights and business actions

      These outcomes are enabled by a trusted analytics platform built on cloud-native, scalable architecture.

      Advanced analytics and insights services go beyond descriptive reporting to explain why performance changes and what may happen next.

      These services include:

      • Trend and driver analysis
      • Predictive analytics for forecasting and planning
      • Advanced statistical and behavioral analysis
      • Integration of data analytics and AI for deeper insight

      They help organizations identify risks and opportunities earlier and improve planning accuracy.

      Real-time analytics and reporting services provide timely visibility into business and operational data as events occur.

      They enable:

      • Faster response to operational issues
      • Live monitoring of key performance indicators
      • Insight delivery aligned to business moments, not reporting cycles

      Delivered through cloud data analytics platforms, real-time analytics reduce the gap between insight and action.

      Data analytics services for digital transformation ensure that modernization efforts translate into measurable business outcomes.

      Analytics supports transformation by:

      • Turning modernized data platforms into usable insights
      • Aligning analytics with new digital workflows and systems
      • Supporting data modernization services, including Data Integration and Data Platform Migration
      • Enabling insight-led execution across teams

      Without analytics, digital transformation remains technology-led rather than decision-led.

      Analytics services are designed to improve business decision making, not just information access.

      They help by:

      • Defining KPIs with clear ownership and accountability
      • Embedding insights into operational systems
      • Delivering clear visualizations that guide action
      • Reducing ambiguity and debate over numbers

      This ensures analytics directly supports how leaders plan, prioritize, and execute.

      Data analytics services for AI and machine learning focus on preparing high-quality, governed data for advanced use cases.

      They support AI by:

      • Creating consistent, feature-ready datasets
      • Ensuring governance, lineage, and explainability
      • Aligning analytics and AI teams on shared data foundations

      This reduces duplication and risk while enabling scalable AI adoption.

      AI-powered analytics solutions combine analytics, automation, and machine learning to enhance insight generation.

      They include:

      • Automated pattern detection and anomaly identification
      • Predictive and prescriptive analytics
      • Natural language querying and insight augmentation

      These solutions are most effective when built on strong business intelligence and analytics foundations rather than operating in isolation.

      Data visualization services transform complex data into clear, usable insights.

      They help by:

      • Making trends and performance easier to understand
      • Improving executive and business user engagement
      • Supporting business intelligence analytics through intuitive dashboards

      Well-designed visualization improves adoption and accelerates insight-to-action cycles.

      Yes. Analytics plays a key role in data monetization by helping organizations understand, package, and operationalize data assets.

      Analytics enables:

      • Measurement of data value and usage
      • Insight products for internal or external stakeholders
      • Better decision-making around data-driven offerings

      This turns data from a cost center into a strategic asset.

      Alletec blends deep Microsoft solutions expertise with industry knowledge and 25+ years of experience to catalyse digital transformation and amplify business outcomes for enterprises.

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