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Data Analytics Services

As a data analytics company, GroupBWT builds the connections from your source systems to reports and production AI. The same team supports what it builds, handling changes to pipelines, metric definitions, cloud bills, and downstream models. There is no separate vendor to chase for each one.

Let's talk
100+
software engineers
15+
years industry experience
$1B-$100B
client annual revenue range
Fortune 500
clients served

We are trusted by global market leaders

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Core Pillars of Your Analytics System

A report needs a calculation people agree on and data they are allowed to use. GroupBWT builds those parts alongside the models behind your forecasts.

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People may still export reliable records by hand. GroupBWT connects the data and schedules refreshes for a dashboard or an in-product report. The report gives people the figures to explore, without spreadsheet assembly.
Finance and operations can use different reports. We give their shared figures the same calculation. GroupBWT builds that reporting model. Each key performance indicator has its owner, source, and refresh rule recorded with its definition. Those calculations remain available to the analyst for another report.
We name the dataset's owner with your team and agree who may use it. GroupBWT defines access, retention, and quality controls with your team. The record we keep of a dataset's source and changes lets an analyst trace a figure back through the system. An auditor can review that record too.
We prepare the trained forecasting model for your team's everyday work. GroupBWT connects the predictive model to approved company data. Training and deployment have versioned workflows. Monitoring continues once we release the model. Our AI data analytics services bring the forecast into your team's daily processes, using its own records.
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Flexible Ways to Work With Us

You can put a scoped project in our hands, retain us for support, or add specialists to your own team. Our data analytics outsourcing services cover the first two models; staff augmentation adds capacity under your existing delivery process. These are different ways to deliver data analytics services and solutions, with different responsibilities. If you need to outsource data analytics services, we agree working hours, access arrangements, and delivery responsibilities with you.

Engagement Model

What We Do:

Best For:

Project-Based Consulting

The scope is agreed with your team. GroupBWT delivers the project within it. Our data analytics consulting services & solutions cover the architecture and the build or migration. Before handover, GroupBWT and your team check acceptance together.

A specific goal needs skills or delivery time unavailable within your team.

Managed Analytics Services

After launch, incidents come to GroupBWT. We monitor the pipelines and reports as part of that support. We also make improvements, within the scope agreed with you.

Your analysts are occupied with system repairs when they need to answer business questions.

Staff Augmentation

Specialists from GroupBWT follow the delivery process already used by your team. The product remains yours. Your team continues to make the technology decisions.

An internal skills gap or deadline needs additional data engineering, BI, analytics engineering, or MLOps capacity.

Dedicated Analytics Expertise

GroupBWT helps you choose the analytics role your task needs, from a senior consultant to an analytics engineer, BI specialist, or dedicated team. We agree the role and expected deliverable with you before work starts.

A reporting, forecasting, or data-quality problem needs specialist expertise, but your team has not yet settled which role to bring in.

Project-Based Consulting

What We Do

Best For

Managed Analytics Services

What We Do

Best For

Staff Augmentation

What We Do

Best For

Dedicated Analytics Expertise

What We Do

Best For

Measurable Impact for Your Business

Trusted numbers give the data stack its value when they reach a team early enough to act.

01

Consistent Figures Across Teams

One reliable data foundation removes conflicting metrics between teams. The same figure reaches finance and operations. Finance and operations share the agreed totals. Before using the numbers, they need not reconcile separate figures.

02

Current Figures for Decisions

Source updates reach the dashboard. Monday’s discussion need not rely on a report assembled the previous Friday. Managers see today’s change in time to do something about it.

03

Less Unused Cloud Capacity

The bill falls when compute, storage, and query use fit the jobs actually running. Before the next bill, monitoring identifies the jobs consuming capacity unnecessarily.

04

Data Security & Compliance

We control access to sensitive business and customer data and keep its route through the system traceable. The system follows the industry and regulatory requirements confirmed for this project.

Choose a Data Ecosystem That Fits

Fit the stack to your running systems and their security rules. Keep the team’s skills in that choice too. Each of the four reference setups joins storage to data movement and reporting tools.

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All-in-One Enterprise

Do your teams use Microsoft 365 with Teams and Windows already? This setup fits that environment. The data platform can stay within that environment.

  • Storage and Warehouse: Microsoft Azure and Microsoft Fabric
  • BI and Dashboards: Power BI
  • Data Pipelines: Azure Data Factory
  • Why It Fits: Connecting the Microsoft systems can make identity management and rollout simpler. That can help corporate users adopt the platform.

Fast Innovator

Fast access to web and advertising records matters to digital-product and marketing teams. This configuration also supplies their AI-ready data.

  • Storage and Warehouse: Google Cloud and BigQuery
  • BI and Dashboards: Looker
  • Data Pipelines: Fivetran and Google Cloud Dataflow
  • Why It Fits: One cloud holds the analytical storage and high-volume digital data beside machine learning services.

Flexible Hybrid

This setup keeps the processing layer independent. A multi-cloud organization can choose its reporting tools separately.

  • Storage and Warehouse: Snowflake
  • BI and Dashboards: Tableau and ThoughtSpot
  • Build Tools: dbt and Apache Airflow
  • Why It Fits: Teams have more flexibility to change components when storage, transformation, orchestration, and reporting stay independent.

Custom Builder

Developer-led organizations can use this setup for large software products and custom analytical systems.

  • Storage and Warehouse: Amazon S3 and Amazon Redshift
  • BI and Dashboards: Tableau and Amazon QuickSight
  • Data Pipelines: AWS Glue and custom pipeline code
  • Why It Fits: Modular AWS services provide detailed control over architecture, access, processing, and application integration.
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How Our Data Analytics Tech Stack Works

Collect and Integrate

Controlled connections to the sources bring operational records in alongside product, customer, and external records.

Pipeline Services

Azure Data Factory · Fivetran · Google Cloud Dataflow · AWS Glue.

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Workflow Orchestration

Apache Airflow · Custom Pipeline Code.

Store and Query

Structured records and raw files have separate storage for analytical use.

Cloud Warehouses

Microsoft Fabric · BigQuery. Snowflake · Amazon Redshift.

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Object Storage

Microsoft Azure · Google Cloud · Amazon S3.

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Transform and Govern

Raw records become consistent metrics that reports and downstream models can use.

Transformation Layer

dbt · SQL · Custom Business Logic.

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Access and Governance

Permissions · Source History · Quality Checks.

Examine and Visualize Data

Reports read only the approved datasets. Analysts can filter and explore them without rewriting the source logic.

Business Intelligence

Power BI · Looker · Tableau · ThoughtSpot · Amazon QuickSight.

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Operational Reporting

Leadership Dashboards · In-Product Reports · Scheduled Reports.

Watch Jobs, Data, and Costs

After launch, we watch for failed jobs and late data, and monitor model inputs and cloud use.

Reliability Controls

Freshness Checks · Pipeline Alerts · Drift Monitoring.

Performance Controls

Query Monitoring · Workload Optimization · Cost Tracking.

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Start With a Data Infrastructure Review

Bring us the reporting delay, unreliable pipeline, cloud-cost spike, or stalled AI use case. GroupBWT traces the blockage to one system layer, then scopes the smallest useful intervention. That may be architecture work, a focused build, modernization, or specialist capacity.

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Your Industry’s Data Analytics Needs

Insurance data analytics

Insurance

GroupBWT builds analytics that align approved policy, claims, customer, and operational data. Insurance teams use consistent metrics to investigate losses, service delays, and portfolio changes instead of first reconciling separate reports.

Our Awards and Partnerships

AWS Partner
Databricks Brickbuilder Partner Network Bronze
Snowflake AI Data Cloud Services Partner Select
G2 Winter 2026 Leader
G2 Fall 2025 High Performer
Clutch 2026 Top Big Data Marketing Company
Clutch 2026 Top B2B Big Data Company
Clutch 2026 Top Power BI & Data Solutions Company
Award from Goodfirms
GroupBWT recognized as TechBehemoths awards 2024 winner in Web Design, UK
GroupBWT recognized as TechBehemoths awards 2024 winner in Branding, UK
GroupBWT received a high rating from TrustRadius in 2020
GroupBWT ranked highest in the software development companies category by SOFTWAREWORLD
ITfirms

Data Security, Privacy & Controlled Access

A report needs security that supports trust without obstructing its use. Under the project’s agreed rules, we protect the business records and preserve the source behind each metric.

Compliance Built Into Delivery

We apply privacy and security requirements to the access controls. We apply the requirements when configuring retention, processing, and audit controls too. GDPR, SOC 2, and other applicable obligations may need supporting controls; we can configure these where the operating requirements are confirmed.

Access Matched to Each Role

We restrict dataset and metric access by role. Your approved access model keeps sensitive financial, customer, and personal records restricted.

Mask Personal Fields in Reports

The dashboard used by sales does not need a card number from the customer. Masking takes it out before the screen loads, together with names and other personal fields.

Traceable Business Metrics

An analyst can follow the lineage record from a dashboard metric to its source. We keep the transformation steps, changes, and calculation behind the reported result in that record.

Check the Records Behind Each Report

Our checks cover missing fields and duplicate records, as well as source changes and values outside their accepted ranges. Records reach reports and AI tools after checking.

Private AI Data Boundaries

Company information stays within the approved processing environment. Access, retention, and provider settings are configured so private records are not submitted for public model training.

What Our Clients Say

Inga B.

What do you like best?

Their deep understanding of our needs and how to craft a solution that provides more opportunities for managing our data. Their data solution, enhanced with AI features, allows us to easily manage diverse data sources and quickly get actionable insights from data.

What do you dislike?

It took some time to align the a multi-source data scraping platform functionality with our specific workflows. But we quickly adapted and the final result fully met our requirements.

Catherine I.

What do you like best?

It was incredible how they could build precisely what we wanted. They were genuine experts in data scraping; project management was also great, and each phase of the project was on time, with quick feedback.

What do you dislike?

We have no comments on the work performed.

Susan C.

What do you like best?

GroupBWT is the preferred choice for competitive intelligence through complex data extraction. Their approach, technical skills, and customization options make them valuable partners. Nevertheless, be prepared to invest time in initial solution development.

What do you dislike?

GroupBWT provided us with a solution to collect real-time data on competitor micro-mobility services so we could monitor vehicle availability and locations. This data has given us a clear view of the market in specific areas, allowing us to refine our operational strategy and stay competitive.

Pavlo U

What do you like best?

The company's dedication to understanding our needs for collecting competitor data was exemplary. Their methodology for extracting complex data sets was methodical and precise. What impressed me most was their adaptability and collaboration with our team, ensuring the data was relevant and actionable for our market analysis.

What do you dislike?

Finding a downside is challenging, as they consistently met our expectations and provided timely updates. If anything, I would have appreciated an even more detailed roadmap at the project's outset. However, this didn't hamper our overall experience.

Verified User in Computer Software

What do you like best?

GroupBWT excels at providing tailored data scraping solutions perfectly suited to our specific needs for competitor analysis and market research.

What do you dislike?

Given the complexity and customization of our project, we later decided that we needed a few additional sources after the project had started.

Verified User in Computer Software

What do you like best?

What we liked most was how GroupBWT created a flexible system that efficiently handles large amounts of data. Their innovative technology and expertise helped us quickly understand market trends and make smarter decisions.

What do you dislike?

The entire process was easy and fast, so there were no downsides.

Inga B.

What do you like best?

Their deep understanding of our needs and how to craft a solution that provides more opportunities for managing our data. Their data solution, enhanced with AI features, allows us to easily manage diverse data sources and quickly get actionable insights from data.

What do you dislike?

It took some time to align the a multi-source data scraping platform functionality with our specific workflows. But we quickly adapted and the final result fully met our requirements.

Catherine I.

What do you like best?

It was incredible how they could build precisely what we wanted. They were genuine experts in data scraping; project management was also great, and each phase of the project was on time, with quick feedback.

What do you dislike?

We have no comments on the work performed.

Susan C.

What do you like best?

GroupBWT is the preferred choice for competitive intelligence through complex data extraction. Their approach, technical skills, and customization options make them valuable partners. Nevertheless, be prepared to invest time in initial solution development.

What do you dislike?

GroupBWT provided us with a solution to collect real-time data on competitor micro-mobility services so we could monitor vehicle availability and locations. This data has given us a clear view of the market in specific areas, allowing us to refine our operational strategy and stay competitive.

Pavlo U

What do you like best?

The company's dedication to understanding our needs for collecting competitor data was exemplary. Their methodology for extracting complex data sets was methodical and precise. What impressed me most was their adaptability and collaboration with our team, ensuring the data was relevant and actionable for our market analysis.

What do you dislike?

Finding a downside is challenging, as they consistently met our expectations and provided timely updates. If anything, I would have appreciated an even more detailed roadmap at the project's outset. However, this didn't hamper our overall experience.

Verified User in Computer Software

What do you like best?

GroupBWT excels at providing tailored data scraping solutions perfectly suited to our specific needs for competitor analysis and market research.

What do you dislike?

Given the complexity and customization of our project, we later decided that we needed a few additional sources after the project had started.

Verified User in Computer Software

What do you like best?

What we liked most was how GroupBWT created a flexible system that efficiently handles large amounts of data. Their innovative technology and expertise helped us quickly understand market trends and make smarter decisions.

What do you dislike?

The entire process was easy and fast, so there were no downsides.

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Show Us the Report You Cannot Rely On

Show us one late report or a total your teams disagree on, and we will use the call to discuss possible causes and the checks needed before estimating the work.

FAQ

Where does GroupBWT start if we already have a data stack?

We follow the problem you need resolved through your existing systems, whether it is a report delay, pipeline failure, cloud-cost issue, or stalled use case. That investigation comes before a recommendation in our data analytics advisory services. We keep components that work and scope the smallest useful change. We do not replace by default.

What access and input does GroupBWT need from our team?

To start, we usually need the business question and known failure points, alongside the architecture, source inventory, and metric definitions. Your approved security process governs technical access, which covers only what the assessment or delivery needs. Your named contacts confirm the business rules and data ownership. The acceptance criteria need their confirmation too.

What determines the work and delivery schedule?

Source count and condition, data quality, the selected platform, security requirements, and delivery model guide the scope we agree. GroupBWT and your team agree the responsibilities, delivery phases, and acceptance checks once the review is complete. You will see assessment and recommendations listed separately from agreed implementation in our data analytics consultancy services estimate, with optional improvements distinguished from required work. A priority change then has an explicit effect on timing.

How do we agree on whether the analytics project succeeded?

The project’s original problem determines what success looks like. What we accept depends on scope. It may mean fresh data reconciled to an agreed source, available reports, working access controls, visible incidents, or a completed handover. GroupBWT and your team define how each criterion will be checked before implementation begins.

Who takes over after launch, and who provides support?

The model agreed at the start determines ownership. With project-based delivery, the system GroupBWT implements is documented and handed to your team. Where needed, managed support provides monitoring, incident response, and improvements within the agreed remit. Your team keeps product direction and ownership when specialists join through staff augmentation.

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