Data Analytics Services

  • Get More from the BI Tools You’ve Already Invested in
  • Receive Decision-grade Analytics Faster
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Data Analytics Services with a Co-Pilot Approach

With a Development Partner that Already Does It at Scale

For Enterprises that Don’t Need another Vendor Delivering Dashboards in Isolation

Get enterprise-grade data analytics services built upon strong data governance and integration principles, encompassing data collection, cleaning, processing, and analysis to ensure high-quality insights. With a sharp focus on predictive analytics and data visualization, we help organizations identify trends, patterns, and correlations that drive business clarity.

Our team works within your existing BI stack (Power BI, Tableau, QuickSight, etc.) and customizes all dashboards, visualizations, and models to align with your workflows, KPIs, and decision-making needs. Where needed, we deliver explainable, transparent predictive models that your team can manage and trust. Our proprietary human-in-the-loop approach ensures every model is validated for accuracy, fairness, and business relevance—something off-the-shelf tools can’t guarantee.

Most importantly, we work as a co-pilot, augmenting your team, not replacing it. You retain full control over your data, tools, and analytics roadmap. With our team, analytics becomes faster, safer, and more impactful—while the control stays firmly in your hands.

Solving the Analytics Problems that Hold You Back

  • Inconsistent or siloed data across departments
  • Slow, manual, or error-prone reporting
  • Limited real-time analytics and delayed critical insights
  • Underutilized tools and platforms
  • Poor data quality and governance
  • Inability to forecast or simulate business scenarios

With Advanced Enterprise Data Analytics Services

  • Break down data silos using standardized, secure pipelines
  • Deliver dashboards and insights in weeks, not months
  • Empower both business users and data scientists with proper data visualization approaches
  • Improve analytics tool utilization (like PowerBI, Tableau)
  • Scale analytics capacity on demand for major business events

Certified Expertise Backed by Strong Partnerships

Trusted by Leading Enterprises Worldwide

Enterprise Data Analytics Services We Offer

Eliminate analytics complexity with purpose-built dashboards, data visualizations, and predictive insights that highlight critical metrics and emerging risks before they impact performance. Our services also help improve analytics delivery by reducing dashboard request backlogs and integrating predictive capabilities into your existing technology platforms without disrupting any processes. Whether you're enhancing current BI processes or building new analytics capabilities, our data analytics approach aligns with your governance frameworks, technology constraints, and strategic objectives and supports continuous improvement throughout the data analytics life cycle.

Predictive Analytics Services

  • Custom enterprise-ready predictive analytics solution development
  • Forecasting, risk scoring, demand prediction, fraud detection
  • Explainability, compliance alignment (HIPAA, GDPR)
  • Seamless deployment into ERP, CRM, or BI tools
  • MLOps and ongoing monitoring for sustained accuracy
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Data Visualization Services

  • Dashboard design in Power BI, Tableau, QuickSight, Looker, etc.
  • Integration of siloed data into unified reporting layers
  • Real-time and streaming visual analytics
  • Storytelling, UX design, and user enablement
  • BI optimization and dashboard migration support
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Additional Data Analytics Services You Can Get at SunTec.AI

Our services support the full analytics lifecycle—ensuring your data is reliable, secure, and ready to deliver real business value at every stage.

Data Collection & Integration

Gathering data from various sources, including databases, CRM systems, and other applications, and integrating it into a unified platform for analysis.

Data Cleaning & Preprocessing

Ensuring data quality by identifying and correcting errors, inconsistencies, and missing values before analysis begins.

Multiple Data Analysis Techniques

Applying statistical methods, machine learning algorithms, and other techniques to uncover trends, patterns, and relationships in the data.

Advanced Data Analytics Services

Utilizing machine learning, AI, and custom modeling to forecast outcomes, detect anomalies, and optimize business processes.

Data Governance & Security

Implementing access controls, compliance checks, and data quality standards to ensure secure, reliable analytics.

Metadata Management

Creating a structured inventory of your data assets with definitions, ownership, and usage context to support discovery and compliance.

Our Teams are Proficient across Leading Business Intelligence Tools

Power BI

Tableau

Looker

Apache Superset

Amazon QuickSight

Qlik Sense

Data Analytics Services – Our Process

The goal isn’t just more data. It’s more clarity, confidence, and control over your decisions. So, our data analytics approach is designed to cut through complexity—taking fragmented business data and converting it into insight-ready intelligence that fuels strategy, execution, and measurable outcomes.

01

Data Ingestion

We gather raw data from all your key systems — CRMs, ERPs, apps, websites, spreadsheets, and more.

Why it matters:

  • It centralizes scattered information so we can analyze the full picture, not isolated fragments.

02

Data Transformation

We perform data cleaning, enrichment, and standardization to make the raw data trustworthy and usable.

Why it matters:

  • You avoid “garbage in, garbage out.” This ensures your reports reflect reality, not errors or inconsistencies.

03

Data Modeling

The data is structured to match how your users want to see the insights (e.g., revenue by region, customer churn by segment).

Why it matters:

  • This makes the data relevant and usable for analysis, forecasting, and decision-making.

04

Reporting & Visualization

We build dashboards and reports to show KPIs, trends, and performance in an interactive, easy-to-digest way.

Why it matters:

  • Leaders and teams get the insights they need, without digging through spreadsheets or waiting for IT.

05

Insight Generation

With real-time, reliable data now available to analyze, we identify trends, patterns, and correlations, revealing next-best actions, anticipating market changes, and identifying potential risks, such as fraud or operational issues.

Why it matters:

  • This is where value is created for you as the insights we deliver inspire better decisions, faster reactions, and smarter strategies.

Data Analytics Tech Stack and Tool Expertise

Foundation & Frontier Models

OpenAI GPT‑4o, Anthropic Claude 3, Google Gemini 1.5, Meta Llama 3, BERT, Vision Transformer, Stable Diffusion, DALL‑E

ML / DL Frameworks & Libraries

TensorFlow, PyTorch, Keras, JAX, Hugging Face Transformers, OpenCV, SpaCy, NLTK, FastText

Data Engineering & Storage

Apache Spark, Kafka, Airflow, PostgreSQL, MongoDB, DynamoDB, Pinecone, FAISS, Chroma

DevOps / MLOps & Governance

Docker, Kubernetes, Helm, Terraform, MLflow, Kubeflow, SageMaker, Vertex AI, Prometheus, Grafana, Evidently AI

Programming Languages & Runtime

Python, Java, .NET, Node.js, Go, Rust, C/C++

Cloud & Edge Infrastructure

AWS EC2, S3, EKS; Azure AI Studio, AKS; Google Vertex AI, GKE; NVIDIA CUDA, Triton; Intel OpenVINO

Security & Compliance Tooling

AWS IAM, Azure AD, HashiCorp Vault, CloudHSM, KMS

Data Visualization

Power BI, Tableau, Looker Native embeds into ERP/CRM/BI (e.g., Salesforce, SAP, ServiceNow)

Airflow Amazon S3 Amazon Sagemaker Apache Kafka Aws Dynamodb Aws Iam Aww Simple Azure Active Chroma Seeklogo Claude Ai Commons C Plus Docker Svgrepo Go Blue Google Gke Google Jax Grafana Hashi Corp Helm java Keras Kms Kubeflow Kubernetes Meta Platforms Microsoft Azure Mlflow Mongodb Net Core Nvidai Open Ai Opencv Pinecone Postgresql Elephant Prometheus Software Python Notext Pytorch Rust Programming Stable Diffusion Tensorflow Terraform Vertex Ai

Choose the Right Delivery Model for your Operational Realities

Enterprises approach our data analytics company with different operational needs, in-house capabilities, and timelines. Some need full-service delivery, others want a co-pilot to extend their team, and some need targeted support. Our delivery models are designed to meet each of these needs without disrupting your existing tools or workflows.

Data Analytics Consulting

We help define analytics use cases, assess data readiness, and build BI or model governance strategies aligned with your goals.

Co-Pilot Partnership

We work alongside internal teams (lacking bandwidth, expertise, or structure) to co-develop dashboards and predictive models, enhancing analytics capacity while transferring expertise.

Project-Based Delivery

We design and deliver scoped analytics solutions like executive dashboards or forecasting models with clearly defined milestones and business outcomes.

Fully Managed Service

We handle the entire lifecycle—from data preparation and modeling to dashboard delivery, model retraining, and continuous optimization.

MLOps-as-a-Service

We manage your predictive models in production, including monitoring, retraining, drift detection, and governance compliance.

Proof-of-Concept Sprint

A focused 2–4 week engagement to rapidly prototype or deliver a high-impact dashboard or predictive model, ideal for pilots or quick wins.

Addressing Top Enterprise Concerns about Enterprise Data Analytics Services

We’re ISO 27001 and ISO 9001 certified, and follow strict access controls, encryption, and audit practices. We support compliance with GDPR, HIPAA, and industry-specific policies through secure workflows and built-in governance.

We build dashboards, models, and visual layers directly in your BI tools—no need to migrate. Our team works within your existing platforms and enhances performance, usability, and adoption.

Yes. We support hybrid and on-premise environments. Our team can access, process, and model data securely within your infrastructure, without requiring cloud migration.

Nothing additional! Pricing depends on the scope, duration, and team structure. We offer flexible models—sprints, co-pilot support, or full service—with transparent billing and no hidden fees. You pay only for what you need, when you need it.

Absolutely. You retain full ownership of your data, infrastructure, and any analytics assets we help build. Our role is to support and accelerate your team—not create vendor lock-in or dependency.

We use rigorous testing, human-in-the-loop validation, and built-in explainability frameworks. Each model is designed to meet your compliance needs and business logic—with transparent performance metrics, not just black-box outputs.

Absolutely. Many clients start with a 2–4 week sprint to validate impact before scaling. It’s a low-risk way to test predictive models or dashboards against your real business needs.

We build dashboards with layered views—executives see the big picture, while analysts get depth. We also use storytelling, annotations, and visual cues so insights are clear to any decision-maker.

Start with a 2–4 Week Proof-of-Concept

Test a real dashboard or predictive model tailored to your KPIs—no long-term commitment.

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