AI Engineering for Industrial Quality Intelligence

AI Engineering for Industrial Quality Intelligence

Connect computer vision, manufacturing data, and operational workflows to detect defects earlier, identify root causes faster, and improve quality performance at scale.

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The Problem We Solve

Manufacturing teams face constant pressure to improve product quality, reduce scrap, increase throughput, and detect production issues earlier.

Traditional quality inspection often depends on manual reviews, disconnected systems, and after-the-fact reporting. This makes it difficult to detect defects consistently, identify root causes quickly, and prevent recurring quality issues across production lines.

Although many organizations have experimented with AI and computer vision, few successfully transition from isolated pilots into scalable, production-ready quality intelligence solutions that deliver measurable business value that generate lasting operational impact.

More Than a Model.
A Complete AI Engineering Solution.

TEK Analytics helps manufacturers engineer computer vision solutions that connect AI models, data pipelines, manufacturing systems, dashboards, alerts, and operational workflows.

We build AI engineering solutions that seamlessly integrate with your manufacturing systems and enterprise data

From discovery and architecture through deployment we help manufacturers move beyond AI pilots and deliver measurable improvements in quality and productivity

Our Solution

TEK delivers AI engineering services for computer vision-based manufacturing quality assurance. We design, build, deploy, and optimize AI systems that analyze images, video streams, and production data to detect defects, anomalies, assembly issues, missing components, packaging errors, label problems, and other quality deviations.

Key Capabilities

Computer Vision Model Development Build and train models to detect defects, anomalies, and production inconsistencies.
Data Engineering Connect image, video, machine, batch, quality, and production data.
MLOps and Deployment Deploy AI models with monitoring, versioning, retraining, and performance tracking.
Real-Time Quality Alerts Trigger alerts when defects, anomalies, or quality thresholds are detected.
Quality Analytics Dashboards Track defect trends, inspection accuracy, scrap rates, yield performance, and quality KPIs.
Enterprise Integration Connect AI outputs with manufacturing systems, quality workflows, and business applications.

From Computer Vision to Industrial Quality Intelligence

Computer vision alone can detect defects. But manufacturers need more than detection. They need to understand why defects happen, where they occur, and how to prevent them across production lines.

What This Enables

Defect detection connected to machine context
Faster root cause analysis across production data
Quality alerts tied to workflows and escalation paths
AI-ready foundation for predictive quality initiatives
Dashboards that show defect counts, drivers, and business impact

Enhanced Architecture

Cameras / Vision Systems
Machine Data / PLC / SCADA
MES / Batch / Production Data
SAP / ERP / Quality / Maintenance Data
↓
Industrial Data Foundation Data Engineering + Contextualization + Quality Data Model
↓
Computer Vision AI Models Defect Detection / Assembly Verification / Label Validation
↓
Quality Intelligence Layer Alerts / Dashboards / Root Cause / Workflow Actions
↓
Manufacturing Teams Quality / Operations / Maintenance / Engineering

Manufacturing Use Cases

Surface defect detection
Missing part identification
Assembly verification
Packaging quality inspection
Label and barcode validation
Dimensional deviation detection
Scratch, crack, or weld detection
Product counting and classification
And more...

Business Benefits

Detect defects earlier
Reduce scrap and rework
Improve first-pass yield
Increase inspection consistency
Improve production visibility
Reduce manual inspection burden
Accelerate root cause analysis
Move AI pilots into production

Our Approach

01

Assess

Identify inspection opportunities, production challenges, data inputs, and success metrics.

02

Engineer

Develop computer vision models, data pipelines, dashboards, and integration layers.

03

Deploy

Move the solution into production with monitoring, alerts, workflows, and support.

04

Optimize

Continuously improve accuracy, reliability, and business impact using production feedback.

Ready to Bring AI Engineering into Manufacturing Quality Assurance?

TEK Analytics can help you turn computer vision into a production-ready quality intelligence system.

Schedule a Discussion

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SAP + Databricks Data Foundation

SAP + Databricks Data Foundation

SAP + Databricks Data Foundation

SAP + Databricks Data Foundation

Make SAP Data Work Like a Modern Data Product with Databricks

TEK helps organizations design practical SAP–Databricks integration patterns that activate trusted SAP data for analytics, AI, and business decision-making.

Schedule a Chat Contact TEK Analytics

Business Benefits

Reduced Data Access Delays

Access SAP and non-SAP data in one governed environment.

Lower Integration Overhead

Modern sharing and ingestion approaches reduce complexity.

Preserved SAP Context

Retain business meaning outside the SAP domain.

Accelerated AI & Analytics

Enable AI-ready SAP data products.

Strong Governance

Unity Catalog access patterns and secure sharing.

Industry Use Cases

Manufacturing

Predictive Maintenance
Supply Chain Optimization
Production Quality

Supply Chain

Demand Forecasting
Profitability Analysis
Service Performance

Financial Services

Risk Analytics
Fraud Detection
Document Intelligence

Automotive

Customer Incentives
Anomaly Detection
Inventory Optimization

SAP + Databricks Data Foundation

TEK helps SAP leaders design practical SAP–Databricks integration strategies that fit their landscape, governance model, and priority use cases. We combine SAP Business Data Cloud, Delta Sharing, and fit-for-purpose ingestion frameworks for SAP BW, S/4HANA, HANA, Datasphere, and other SAP sources while aligning architecture, semantics, performance, governance, and operations.

What You Get

SAP-to-Databricks Strategy

Practical integration roadmap.

Business-ready Modeling

Models aligned to SAP business context.

Governance Guidance

Secure access and Unity Catalog best practices.

Reference Architecture

Reusable integration patterns.

Use Case Prioritization

Focus on highest-value opportunities.

Internal Team Enablement

Knowledge transfer and operational readiness.

Why TEK

  • Deep expertise across both SAP and modern data platforms.
  • Pragmatic, business-first integration approach.
  • Governed SAP-native sharing combined with modern engineering patterns.
  • Solutions designed around your landscape—not generic templates.

Bring Us Your Toughest SAP Data Challenge

Schedule a 30-minute conversation to unlock trusted SAP data in Databricks.

Schedule a Chat

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Governance & Data Quality Service

Governance & Data Quality Service

Governance & Data Quality Service | TEK Analytics

Governance & Data Quality Service

Make Databricks Trusted, Governed, and AI-Ready Without Slowing Your Teams Down

TEK helps enterprise data leaders turn fragmented Databricks environments into a high-trust platform for analytics and AI, with clear ownership, reliable data, and built-in governance that reduces risk while accelerating delivery.

Book a Consultation Contact TEK Analytics

Benefits

Faster time to insight and AI delivery with trusted, ready-to-use data.

Fewer reporting conflicts through consistent, certified datasets.

Reduced risk and audit exposure with clear data ownership and governed access.

Higher team productivity by eliminating data hunting and duplication.

Why Governance Matters

Without clear governance and reliable data, projects slow down and trust erodes. Analysts and data scientists lose time hunting for the right tables, security and compliance teams become gatekeepers, and disagreements over numbers create confusion across reporting, AI outputs, and leadership decisions.

Enable your teams to move faster with less risk.

Common Governance Challenges We Help Solve

Productivity Suffers

Teams waste time finding the right data, second-guessing metrics, or rebuilding their own copies.

Extra Processes Needed

Security and compliance teams become bottlenecks when clear access patterns are missing.

Confusion Increases

Disagreements over numbers in reports and AI outputs reduce confidence in the platform.

Our Governance and Data Quality Service

TEK’s Governance & Data Quality for Databricks offering is built to sit at the intersection of safety and usability. Rather than dropping in a generic framework, we design and implement a Unity Catalog and data quality approach that reflects your actual business domains, risk profile, and ways of working.

That means clear ownership, consistent publishing and certification patterns, and embedded quality and access controls across your Databricks environment. The result: governed, discoverable, reliable data that helps teams move faster with less risk.

What We Provide

  • A practical assessment of your current Databricks governance: catalogs, schemas, permissions, and data flows.
  • A domain-oriented Unity Catalog design that aligns data organization with real business areas.
  • Clear patterns for roles, groups, and access policies so it is obvious who can see and change what.
  • Lightweight certification and publishing standards so consumers know what data they can trust.
  • Data quality checks and monitoring on critical datasets, with clear escalation paths when issues arise.
  • Documentation and simple guardrails to help projects plug into governance instead of working around it.

Engagement Model

A practical engagement model designed to build lasting internal capability.

1

Discovery

Understand platform, security, data teams, requirements, and pain points.

2

Data Assessment

Map domains, critical datasets, access patterns, gaps, and high-risk areas.

3

Design Catalog

Design the Unity Catalog structure, access model, and quality approach.

4

Implement

Implement domains, permissions, standards, and initial quality checks.

5

Validate

Validate with real teams, refine patterns, and prepare repeatable rollout.

Why TEK

  • Deep Databricks and data management experience.
  • A practical understanding of data management realities.
  • A focus on making governance usable for all.
  • Experience turning platform features into simple, repeatable patterns that organizations can reuse.
Turn messy workspaces and inconsistent data into a governed, high-trust foundation you can safely build on.

Want Databricks to Be the Place Where Data Is Trusted and Easy to Use?

Book a complimentary 30-minute consultation with TEK Analytics.

Book a Consultation

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Experts-on-Demand

Experts-on-Demand

Databricks Experts-on-Demand | TEK Analytics

Databricks Experts-on-Demand

Up Your Databricks Expertise Without the Hiring Wait

Get access when you need it to seasoned Databricks architects and engineers who improve delivery speed, reliability, and cost efficiency while helping your organization build stronger internal capability.

Schedule a Review Contact TEK Analytics

Benefits

Faster delivery on critical initiatives
More reliable pipelines and data products
Lower platform waste and better performance
Stronger internal team capabilities

The Costs of a Gap in Capabilities

Most teams adopt Databricks before they have deep Databricks and Spark experience. They learn under pressure, copy patterns from wherever they can find them, and end up with solutions that “work” but are hard to maintain, expensive to run, and inconsistent across teams.

Raising team capability is one of the highest-leverage ways to protect your Databricks investment.

Common Capability Gaps We Help Close

Delivery Slows

Critical projects miss deadlines as teams wrestle with unclear standards and performance bottlenecks.

Incidents Rise

Production issues multiply without strong governance, reliability patterns, and platform discipline.

Confidence Collapses

Leaders lose confidence in safely scaling new use cases when quality and reliability are uncertain.

Costs Climb

Inefficient workloads and unchecked compute drive costs higher without proportional value returned.

TEK’s Experts-on-Demand

Our Databricks Experts-on-Demand offering closes the capability gap by giving your teams direct access to people who have solved these problems before on real platforms, at real scale. Instead of sending engineers to another class and hoping behavior changes, you bring experienced Databricks practitioners into the flow of work.

What We Provide

  • Senior Databricks architects and pipeline developers available as a flexible service.
  • Design and code reviews for critical jobs, models, and data products.
  • Hands-on coaching on Spark performance, Delta Lake patterns, and workspace structure.
  • Practical guidance on CI/CD, environment separation, and production readiness.
  • Identification of repeated anti-patterns and conversion into clear standards and templates.
  • Lightweight playbooks your teams can reuse long after the engagement ends.

Engagement Model

A practical engagement model designed to build lasting internal capability.

1

Diagnose

Run a short diagnostic to map current practices, pain points, and priority teams.

2

Connect

Establish regular touchpoints, office hours, review sessions, and paired working time.

3

Focus

Direct TEK experts toward highest-value workloads and the biggest capability gaps first.

4

Document

Capture best practices, examples, decisions, and reusable documentation your teams own.

5

Scale

Dial expert involvement up or down as internal capability grows and teams gain confidence.

Why TEK

  • Deep Databricks and Spark experience across architecture, engineering, and operations.
  • A track record of making platforms more reliable, cost-effective, and governable.
  • A practical, no-nonsense approach that meets teams where they are.
  • Ability to support multiple teams and domains.
  • Flexibility without locking you into a large, rigid consulting program.
Get a quick lift in reliability, speed, and team confidence.

Ready to Strengthen Your Databricks Capability?

Schedule a 30-minute Databricks capability review with TEK Analytics today.

Schedule a Review

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Migration & Integration Accelerator

Migration & Integration Accelerator

Migration & Integration Accelerator

Move to Databricks without breaking everything that depends on you.

TEK’s Migration & Integration Accelerator helps you move from legacy platforms to Databricks through a planned, validated path that protects downstream systems, preserves data trust, and accelerates value on the new platform.

Set Up a Session Contact TEK Analytics

Benefits

Protection of Critical Business Processes

Protect critical processes by planning for data and system dependencies.

Reduced Operational Risk

Reduce disruption with fewer reporting issues, outages, and incidents.

Faster Time-to-Value

Accelerate value through structured, repeatable processes with safeguards.

Sustained Confidence

Maintain stakeholder confidence with reliable and accurate data products.

Resilient Foundation

Create a Databricks-native foundation built for long-term performance.

When Migrations Break Down

Most migration efforts focus on lifting and shifting code and data, not on everything that surrounds them. Legacy ETL jobs hide business rules, reports and APIs quietly depend on old schemas, and few teams have a complete view.


Stakeholders lose trust as numbers change unexpectedly. Teams are forced into expensive rework. Instead of accelerating value on Databricks, the migration becomes a source of instability and political friction.

When dependencies aren’t well understood, bad things happen.

Outages
Data Issues
Broken Reports
Firefighting

The Migration & Integration Accelerator

TEK’s Migration & Integration Accelerator is designed for leaders who want Databricks adoption without collateral damage. Instead of treating migration as a one-time technical cutover, we frame it as a disciplined, integration-aware change to how data flows through your organization.


The result is a migration that protects critical dependencies while moving you decisively onto Databricks.

What We Provide

Structured Assessment

Review current pipelines, dependencies, and downstream consumers before anything moves.

Integration Hardening

Harden key reports, APIs, and consuming systems, including contract and schema validation.

Prioritized Migration Waves

Sequence workloads based on risk, business impact, and technical complexity.

Data Validation

Validate and reconcile migrated outputs so they are correct, complete, and trustworthy.

Pattern Based

Convert legacy logic into Databricks-native jobs and Delta Lake patterns.

Cutover Plan

Create clear cutover and rollback strategies so people know exactly what will change and when.

Engagement Model

1. Discovery and Dependency Mapping

We dive in and understand sources, transforms, and consumers.

2. Migration Planning

Define migration waves with agreed success criteria, validation steps, and checkpoints.

3. Execution Phase

Execute iterative waves of build, validate, parallel-run, then cut over and monitor.

4. UAT

Business and downstream owners are involved in UAT. “Working” includes their definition of done.

5. Transition Phase

Transition steady-state ownership to your teams with documentation, patterns, and lessons learned codified.

Why TEK

Integration-Aware Migration

We design migrations around integrations and consumers, not just pipelines and storage.

Databricks Expertise

Our expertise spans data engineering, orchestration, and operational readiness so the migration runs well in production.

Validation and Risk Management

We emphasize validation, phased cutover, and risk management to minimize surprises.

Outcome-Oriented Delivery

The accelerator is time-boxed and outcome-oriented, giving you predictable progress instead of open-ended projects.

Planning a Databricks migration?
Worried about what might break?

Set up a Migration & Integration Readiness Session with TEK. Learn about de-risking your path onto Databricks.

Schedule a Session

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AI ML Value Launchpad

AI ML Value Launchpad

AI/ML Value Launchpad

Deliver Real AI Value on Databricks, Not Just More Pilots

TEK’s AI/ML Value Launchpad takes one high-potential idea all the way to a governed, production-ready AI/ML use case on Databricks. It creates measurable business impact and a repeatable blueprint for the next wave of solutions.

Book a Consultation Contact TEK Analytics

Turn AI Ambition into a Production Win

Many organizations invest in Databricks and AI tools, but their AI/ML work stalls at the pilot or notebook stage. TEK helps teams select the right use case, connect trustworthy data, integrate AI into real workflows, and meet governance and risk requirements.

Benefits

A production AI/ML use case stakeholders can see and use
Clear success metrics that demonstrate business value
An end-to-end pattern your teams can reuse
Stronger alignment around what good AI looks like
Increased confidence that AI can be delivered safely
A practical path from pilot to governed production
Improved adoption through real user feedback
A repeatable blueprint for future AI/ML solutions

Where AI/ML Projects Breakdown

AI/ML projects often lose momentum when teams cannot access trusted data, prioritize the right use cases, or move models into governed business workflows. Stakeholders see activity, but not outcomes.

Common breakdown points include:

People pulled into maintenance work, unclear business opportunity, rising costs, limited sponsorship confidence, and missed chances to improve decisions and automate work.

What We Provide

Prioritization of Use Cases

Help identifying and prioritizing AI/ML use cases with feasibility and measurable value.

Solution Design

Collaborative design that aligns data sources, models, governance, and user experience.

Databricks Native Implementation

Native implementation of pipelines, feature engineering, model training, and serving.

Integration

Integration with downstream systems, processes, and real business workflows.

MLOps Practices

Basic ML/Ops practices for monitoring, alerting, performance, drift, and quality.

Reusable Artifacts

Documentation, playbooks, reusable patterns, and handoff materials your teams can use again.

Our Launchpad Engagement Model

1. Discover

Understand business priorities, available data, and current AI efforts.

2. Prioritize

Narrow to one or two high-value use cases and define success metrics.

3. Build

Design and build the solution on Databricks across data, model, and orchestration.

4. Pilot

Run a controlled pilot, gather feedback, and refine with real users.

5. Production

Move to production with governance, monitoring, and operational handoff.

Why TEK

  • Deep Databricks and data engineering expertise.
  • Practical experience operationalizing AI/ML.
  • A bias toward measurable outcomes, so sponsors can see clear value.
  • A pragmatic approach to models and techniques.
  • Proven patterns for making AI solutions maintainable from day one.

Ready to Turn AI Ambition into a Production Win?

Book a complimentary 30-minute consultation with TEK Analytics today.

Book a Consultation

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Production Reliability

Production Reliability

Production Reliability Fast Track

Make Your Critical Databricks Pipelines Boringly Reliable in 6 Weeks or Less

TEK’s Production Reliability Fast Track helps stabilize your most critical Databricks pipelines by reducing failures, improving performance, and building proven production patterns.

Schedule a Discussion Contact TEK Analytics

Move from Reactive Troubleshooting to Reliable Production Operations

We help your team identify root causes, fix and validate critical workloads, improve visibility, and create a safer runway for production Databricks operations.

Unstable Pipelines → Root Cause Analysis → Fix and Validate → Reliable Production Operations

Benefits

Faster, more stable jobs and streams
Fewer incidents and missed SLAs
Clear operational visibility
Reusable golden patterns
Safer runway for workloads

The Cost of Broken Stuff

When Databricks workloads are unreliable, the impact extends beyond the data team. Business users lose trust in analytics, AI initiatives slow down, operational teams spend more time firefighting, and leadership has less confidence in data-driven decisions.

Delayed Reporting

Pipelines fail, dashboards lag, and stakeholders lose trust in time-sensitive insights.

Lower Data Confidence

Frequent failures create uncertainty around which data products can be trusted.

Slower AI & ML Delivery

Unreliable pipelines reduce prediction quality and delay model adoption.

Greater Scale Risk

Poor design decisions create fragile environments as data volumes grow.

Ops Burden Grows

Engineering teams spend more time monitoring, debugging, and fixing issues.

Rising Cloud Costs

Inefficient pipelines increase compute usage without improving business value.

What You Get

Reliability Assessment Findings

Clear findings on pipeline health, risk, and improvement areas.

Stabilized Critical Pipelines

Focused remediation for the workloads that matter most.

Improved Monitoring

Better visibility into pipeline performance, failures, and reliability metrics.

Runbooks & Playbooks

Practical operating guides for troubleshooting and ongoing support.

Reliability-First Design Patterns

Reusable patterns to reduce repeat issues and support scalable delivery.

Performance & Cost Hygiene

Recommendations to improve performance and reduce unnecessary platform spend.

Reliability Metrics

Useful metrics to track stability, incidents, recovery time, and operational health.

Prioritized Reliability Roadmap

A clear path for improving reliability, cost, risk, and business impact.

Engagement Model

1. Discover

Align on critical workloads, SLAs, and production goals.

2. Assess

Review workloads, configurations, and operational processes.

3. Recommend

Identify gaps and prioritize remediation opportunities.

4. Stabilize & Support

Implement improvements and sustain reliability.

Why TEK

Production-First Focus

Built for teams already running critical Databricks workloads.

Practical Recommendations

Prioritized actions instead of generic platform advice.

Business-Aligned Roadmap

Improvements tied to reliability, cost, risk, and impact.

Hands-On Remediation Support

Support to help implement fixes, not just document findings.

Databricks Expertise

Guidance designed for modern lakehouse, analytics, and AI workloads.

Reliability That Scales

Patterns that help teams move from one-time fixes to sustainable operations.

Ready for Some Boring Reliability?

Schedule a 30-minute reliability discussion with TEK Analytics today.

Schedule a Discussion

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SAP Datasphere (DSP) Enablement Service

SAP Datasphere (DSP) Enablement Service

SAP Data & Analytics Services

SAP Datasphere Enablement Services

Modernize your data foundation with a practical, low-risk path to SAP Datasphere.

TEK Analytics helps organizations evaluate, design, and activate SAP Datasphere as part of a modern analytics architecture. Whether extending SAP BW, adopting a hybrid strategy, or preparing for future migration, we help you move forward with clarity and confidence.

Talk to an Expert View Pilot Program

Accelerating SAP Datasphere Adoption

Many organizations want to take advantage of SAP Datasphere, but the path forward is not always straightforward. Questions around architecture, readiness, migration approach, integration, security, and business value often slow progress.

TEK’s SAP Datasphere Enablement Services help organizations move from interest to execution by assessing their landscape, identifying the right use cases, configuring the environment, and building a practical roadmap.

Common Challenges Organizations Face

Unclear Modernization Path

Many teams are unsure how SAP Datasphere should fit alongside BW, SAC, and existing reporting investments.

Use Case Prioritization

Organizations often struggle to determine which business scenarios should be enabled first.

Integration Complexity

Connecting SAP and non-SAP sources while maintaining trusted data pipelines can be challenging.

Security and Governance

Data access controls and governance frameworks must be addressed before adoption scales.

What Our Datasphere Enablement Service Delivers

Readiness Assessment

Evaluate your landscape and identify where SAP Datasphere can deliver value.

Architecture Guidance

Define hybrid architectures across SAP BW, Datasphere, SAC, and external systems.

Environment Enablement

Configure the Datasphere environment and establish secure connectivity.

Use Case Development

Build pilot use cases that demonstrate business value and accelerate adoption.

 

 

Our Approach

Discovery

Introduction workshop and identification of business use cases aligned with organizational priorities.

Realization

Develop and model prioritized use cases within SAP Datasphere and SAP Analytics Cloud.

Review

Demonstrate the solution and review results with business leadership and key stakeholders.

Visualize Data

Create dashboards and visualizations while validating insights with business users.

Delivery & Next Steps

Review pilot outcomes and define the roadmap for broader implementation and scaling.

Why TEK Analytics

TEK Analytics brings deep expertise across SAP BW, SAP Datasphere, SAP Analytics Cloud, and hybrid data architectures. We help organizations modernize their analytics landscape while protecting existing investments and reducing implementation risk.

Ready to Explore SAP Datasphere?

Schedule a conversation with our team to evaluate how SAP Datasphere fits into your data and analytics architecture.

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SAP Analytics Cloud (SAC) Enablement Service

SAP Analytics Cloud (SAC) Enablement Service

SAP Analytics Cloud

SAP Analytics Cloud Enablement Service

A structured enablement approach to help your organization evaluate, adopt, and scale SAP Analytics Cloud with clarity and confidence.

SAP Analytics Cloud can transform how organizations approach reporting, planning, and predictive analytics. But getting started the right way requires more than product access. It requires a clear business case, technical readiness, stakeholder alignment, and a roadmap built for long-term adoption.

TEK’s SAC Enablement Service helps organizations build that foundation so teams can move forward with a practical, outcome-focused strategy.

Talk to an Expert View Service Scope

What This Service Helps You Achieve

  • Build a strong business case for SAP Analytics Cloud adoption
  • Assess infrastructure readiness, security considerations, and budgeting needs
  • Enable self-service analytics capabilities across the enterprise
  • Train technical teams to build, interpret, and deploy high-value dashboards and reports
  • Deliver trusted insights to the right users when they need them

Why Organizations Need SAC Enablement

Many organizations see the potential of SAP Analytics Cloud, but struggle to define where to begin, how to prioritize use cases, and how to ensure adoption beyond the initial rollout.

Our enablement service brings structure to that journey by aligning business priorities, user needs, and technical readiness into a practical plan.

Business Use Case Alignment

Identify and prioritize the reporting, planning, and predictive analytics use cases that matter most to your organization and map them to measurable business value.

Readiness for Adoption

Evaluate the foundational requirements for success, including setup, budgeting, data security, training, and stakeholder readiness for SAC adoption.

Roadmap for Long-Term Success

Create a transformation plan that bridges current-state analytics approaches with a future-ready SAC strategy built for scalability and user adoption.

SAC Enablement Packaged Service

TEK’s packaged enablement service is designed to help organizations confidently evaluate SAP Analytics Cloud and define a path that supports both immediate value and sustainable growth.

Outline key SAP Analytics Cloud capabilities across visualization, planning, and predictive analytics.
Map critical reporting, planning, and predictive use cases within your organization.
Prioritize opportunities around self-service reporting, embedded planning, and executive dashboarding.
Demonstrate business value to end users and leadership through focused enablement discussions.
Define how existing analytics approaches can transition into a more modern SAC-led model.
Formulate a detailed roadmap and transformation plan based on feedback, goals, and readiness.

What Makes TEK’s Approach Different

We do not treat enablement as a generic product walkthrough. We focus on the real decisions organizations need to make before scaling SAP Analytics Cloud across teams and functions.

Practical, Not Theoretical

We focus on actual business priorities, user adoption, and implementation realities rather than high-level platform overviews alone.

Business and Technical Alignment

From leadership value demonstration to technical team readiness, we help align the people, process, and platform considerations needed for success.

Built for Scalable Adoption

The goal is not only to introduce SAC, but to establish a repeatable framework for reporting, planning, and insight delivery across the enterprise.

Ready to Evaluate SAP Analytics Cloud the Right Way?

Whether you are exploring SAC for reporting, collaborative planning, predictive capabilities, or a broader analytics modernization strategy, TEK can help you define the right starting point and a roadmap for success.

Contact TEK

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Business Intelligence UX/UI

Business Intelligence UX/UI Compelling actionable BI dashboards with intuitive UX/UI to accelerate decision making and planning for execution. TEK understands needs of users, stakeholders and

Read More »

Planning and Analytics

Planning and Analytics High-impact planning solutions that transform how mid-market enterprises operate. Our deep expertise in SAP planning tools helps you strategize, design, and implement

Read More »

SAP Business Data Cloud

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Read More »

SAP BW to PCE Assessment

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Read More »

Production Reliability

Production Reliability Production Reliability Fast Track Make Your Critical Databricks Pipelines Boringly Reliable in 6 Weeks or Less TEK’s Production Reliability Fast Track helps stabilize

Read More »
Contact Us

SAP BW to PCE Assessment

SAP BW to PCE Assessment

Modernize BW with confidence.
Migrate with clarity.

MODERNIZE WITH CONFIDENCE. MIGRATE WITH CLARITY.

Organizations running SAP BW on-premises face increasing pressure to modernize while protecting existing investments. A structured BW to PCE assessment helps evaluate current landscapes, identify complexity, and define a clear modernization path aligned with SAP’s Business Data Cloud strategy.

Using Tek Analytics' accelerators, reusable templates, proven architectural patterns, and repeatable playbooks, we help organizations reduce risk, control costs, and move forward with a confident migration strategy.

Schedule a Strategy Session What this delivers Assessment scope
Decision support Choose between BW PCE, Datasphere, or a hybrid architecture with a structured assessment and target blueprint.
Typically 2–3 weeks A focused engagement to surface complexity, reduce migration risk, and define a phased modernization roadmap.
AI/ML-ready foundation Align your modernization strategy with SAP Business Data Cloud, Databricks integration, and future AI-driven analytics.

Why customers start here

BW modernization is not only a migration. It is a decision about what stays, what changes, and how to avoid moving inefficiencies into the cloud.

Common pain points

  • Hidden complexity and technical debt across BW objects and data flows
  • Unclear path between BW PCE, Datasphere, and coexistence approaches
  • Performance and cost concerns when large volumes move to the cloud

What the assessment delivers

  • Clear disposition of BW objects: migrate, retire, or redesign
  • Target architecture blueprint aligned to BDC and your constraints
  • Roadmap with effort, risks, and dependencies made visible early

Assessment Scope

A focused set of activities designed to surface complexity, evaluate options, and define a migration approach that fits both business priorities and technical reality.

  • Landscape and architecture review
  • Migration strategy and options
  • BW object inventory and complexity analysis
  • Data volume and performance assessment
  • BDC and Datasphere readiness
  • Security and governance review

How the assessment works

We combine stakeholder inputs with technical discovery to validate assumptions, identify risks, and produce a plan you can execute with confidence.

1) Discover

  • Review BW landscape, data flows, and integration touchpoints
  • Inventory and classify BW objects and dependencies

2) Evaluate

  • Compare paths: BW PCE, Datasphere, or phased coexistence
  • Assess performance, volumes, and cost drivers

3) Plan

  • Define target architecture aligned to BDC direction
  • Build a roadmap with effort, risk, and dependency visibility

Deliverables

Practical outputs you can use for alignment, budgeting, and execution planning.

Executive Assessment Report
BW Object Disposition Matrix
Target Architecture Blueprint
Migration Roadmap
Risk and Dependency Register
High-Level Effort Estimate

Ready to evaluate your BW modernization path?

Start with an assessment and get a clear recommendation for BW PCE, Datasphere, or coexistence.

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