For 20+ years, Velvetech has delivered data analytics end-to-end: from data strategy and engineering to BI, predictive models, and AI-driven analytics built into the software your teams use. We turn the data you already own into decisions you can act on.
of AI projects without AI-ready data are predicted to be abandoned through 2026 Gartner
HOW WE HELP
Our Data Analytics Consulting Services
Enterprises hold more data than they can easily put to work, and it is often unclear which solution fits which problem, or where the problem starts. Whether you need to define what analytics should achieve, understand what digital information you have, or build a strategy, our data analytics consulting services will help you move from scattered assets to a clear plan and measurable results.
Business goals and use case definitionData landscape assessmentRoot-cause analysis of data and reporting issuesData and analytics strategy and roadmapArchitecture and technology selectionAI readiness assessmentData governance and quality frameworkBusiness case and proof of concept
What types of data analytics solutions can be developed for businesses?
Businesses commonly build four types:
descriptive analytics (what happened)
diagnostic analytics (why it happened)
predictive analytics (what is likely to happen)
prescriptive analytics (what to do next).
Usually, these solutions are delivered as dashboards and reports, forecasting and machine learning models, embedded analytics inside existing software, real-time monitoring, and AI-driven analytics such as natural-language querying and copilots. The right mix depends on the decisions the business needs to support.
THE POWER OF DATA
What Challenges Data Analytics Solve?
No matter the industry, data lies at the heart of all modern enterprise operations and functions. The right approach to collecting, storing, managing, and interpreting data assets helps shape effective workflows and capitalize on untapped business intelligence.
Data analytics software helps companies uncover hidden insights, shed light on key business metrics, and capture new opportunities. In particular, adopting analytics provides reliable support to reduce costs, increase profitability, and enhance risk management.
We help businesses collect and evaluate unstructured or semi-structured data to better understand trends and patterns and uncover value-added opportunities.
Profiling of structured and unstructured sources with quality checks
Exploratory analysis to surface trends, patterns, and anomalies
Prioritized use cases ranked by expected business value
Data Analytics Development
From improving internal operations, services, and products to enhancing customer experience and engagement, we build data analytics solutions that become a superpower for our clients.
Custom analytics apps and models for operations and customers
Integration with existing systems, so insights reach users
Scalable architecture designed for growth and ongoing support
Dashboards and Data Visualization
We build interactive dashboards and reports for organizations to take full control of products and services and get a 360-degree view of their business performance.
Interactive dashboards and reports for every management level
Role-based KPI views with drill-down to source data
Delivery on Power BI, Tableau, or as a custom build
Data Warehousing
In order for data to be analyzed most efficiently, we assist clients with building a trove of historical data by using the best data warehousing practices and tools.
Cloud, on-premises, or hybrid warehouse and data mart design
ETL/ELT pipelines loading historical and current data
Performance and cost optimization of existing warehouses
Data Management
Data management services allow for effective gathering, storage, and processing of data while ensuring its security and forging a powerful ground for decision-making.
Secure storage, processing, and lifecycle management of data
Data quality controls, metadata management, and cataloging
Access controls and security measures for sensitive data
Data Engineering
We help deliver end-to-end data engineering solutions that allow for extended data analytics capabilities and provide a closed-loop approach for all business processes.
Reliable batch and streaming pipelines built for scale
Data lake and cloud data platform architecture
Automated testing and monitoring of every data pipeline
Data Migration and Modernization
As part of your data analytics process, you may require moving data to a new location, format, or application or modernizing the architecture — that’s when our experts come to the rescue.
Migration across systems and formats with minimal disruption
Legacy database and warehouse modernization to the cloud
Reconciliation and testing to verify accuracy before cutover
Data Integration
If you have disparate data located in different sources, our team offers extensive expertise in integration services to consolidate your data and foster its analysis.
Consolidation of ERP, CRM, IoT, and third-party data
API- and pipeline-based connectivity between systems
A unified, consistent data view ready for analysis
Big Data Analytics
We create solutions that process large, fast-moving, and varied data from multiple sources, revealing patterns, forecasting outcomes, and supporting decisions at enterprise scale.
Processing of high-volume, high-velocity data from diverse sources
Scalable cloud architecture for storage and computation
Advanced analytics and machine learning on large datasets
Semantic Layer and Metrics
We define business metrics and data models once and reuse them across dashboards, reports, and AI assistants, so every team works from the same trusted numbers.
Shared business definitions and a metrics catalog
Governed models reused across BI tools and AI assistants
Change control that applies metric updates consistently
AI and Agentic Analytics
Our AI team will help you unleash data potential by implementing NLP, AI assistants, and AI agents into your data analysis platform built on a trusted source.
Natural-language querying and copilots on governed data
AI agents that monitor metrics and recommend next steps
Access controls and audit trails for traceable answers
Governance and Democratization
Engage our data analytics experts and consultants to build the strategy of making your data-related resources available and accessible at all required levels.
Framework covering ownership, policies, standards, and quality
Data catalog and role-based access to the right data
Self-service enablement and data literacy support for teams
Industrial Data Processing
Pairing our expertise in IIoT development with our data analysis services allows us to help industrial companies address their specific needs and boost operations.
Collection and processing of sensor, machine, and field data
Predictive maintenance and analytics of asset performance
Operational dashboards linking shop-floor data to business KPIs
OUR EXPERTISE
Types of Data Analytics We Deliver
Descriptive
Descriptive analytics answers the question “What happened?” — it gives details on what issues occurred and reveals positive trends in various processes.
Diagnostics
This type of data analytics provides firms with insights into the reasons behind certain events and explains what factors could impact the outcomes.
Predictive
Predictive analytics leverages AI algorithms to go through historical data and help companies unveil future opportunities, forecast trends, and predict risks.
Prescriptive
Benefit from the recommendations based on prescriptive analytics and find out what should be done in the future to mitigate risks or gain maximum value.
What are the benefits of data analytics for business decision-making?
Analytics replaces assumptions with evidence. With the right data analytics solutions, leaders get a consistent, current view of performance, spot problems and opportunities earlier, and can forecast demand, risk, and costs. Teams spend less time assembling reports and more time acting on them. Among the Fortune 1000 and global leaders surveyed in 2026, 97.3% reported measurable business value from data and AI investments.
INTELLIGENCE AT YOUR SERVICE
AI-Powered Analytics to Turn Data into Trustworthy Decisions
Natural-Language Querying
NLP allows business users to ask questions in plain language and receive answers, charts, and explanations drawn from governed data.
Analytics Copilots
Copilots embedded in your apps reduce dependence on analyst queues and shorten the path from question to decision.
Predictive Models and Proactive Alerts
ML models forecast demand and risk, and flag anomalies as they emerge: your teams are alerted early and intervene when needed.
AI-Generated Dashboards and Insights
AI assembles dashboards from your data, summarizes trends, and surfaces the drivers behind changes in key metrics.
250+
Experts on Board
1,000+
Projects Delivered
20+
Years in the Market
WHY VELVETECH
Seasoned Data Analysts for Your Business Needs
Since data has become a central piece of business operations, Velvetech has started to help companies get the most out of their digital information. As a trusted data analytics consulting company and development partner, we build custom software that optimizes data flows, fetches valuable insights, forecasts key metrics, and recommends actions.
Data analytics as a service has gained a lot of traction and captured the attention of businesses. With regulatory compliance and various industry standards in mind, our team applies tools like Tableau and Power BI to cater to our clients’ unique needs and foster informed decisions.
As a trusted tech services provider, Velvetech helped Insureon with a range of solutions, including data analytics tools to help the Client’s sales reps. We implemented AI algorithms to allow our client to scrutinize calls and improve customer conversion rates as a result.
We helped our client build an intelligent trading platform that comprised data analytics functionality. Traders can use informative charts and dashboards as well as a forecasting tool that aims to streamline trading activities and take them to the next level.
10+
Years of continuous platform development and enhancement
Velvetech helps a Client leverage data analytics services to better handle their communications with customers. We have built a solution that helps call center agents analyze calls, infer customer intent, and enhance performance.
15 sec
Minimum call length threshold for focused, high-value transcription
Our team of data analysts and engineers helped the client revamp its web application, adding robust reporting functionality. With data-driven dashboards and charts, the company’s clients, real estate firms and sales professionals, have a 360-degree view of the market and can build effective strategies.
CargoData turned to Velvetech for assistance with their cold chain monitoring solutions. As a result of collaboration, we delivered an IoT product that incorporated intuitive charts and dashboards to analyze and control data like temperature and humidity while transporting perishable goods.
Velvetech was requested to build a solution that would process, cleanse, and enrich the Client’s customer data. We came up with a customer data technology stack that took care of manual inputs and processing activities, which helped the company reduce operational costs.
We had to have a software development partner, largely because we did not have all the capabilities internally. But as we picked that, we had to have somebody that could work at our pace and our speed. And that is where Velvetech came in. They have been amazing in enhancing our team every step of the way, adding capability. And they really do feel like a part of Insureon.
Our company was introduced through a mutual friend to Velvetech over a decade ago, initially to help us with a website. It soon became apparent after meeting the management team in Chicago that this company had much more to offer. Over the decade dealing with Velvetech, we have worked together to create a full line of products, including GPS, internet, Sim card communication M2M technology and in every instance, we have found the management and developers at Velvetech to be exemplary. The most impressive aspect is the full understanding of our end goal and the initiative approach to fulfilling our objectives. The questions asked are spot on, the knowledge displayed for almost any application is remarkable. We have probably developed at least 15 new projects using Velvetech and they have been on time and on budget in every case. I would recommend Velvetech to anyone looking for a NEW approach and innovative ideas for developing new products or expanding business exposure.
Velvetech streamlined, fixed bugs, and added functionality to the web-based application that my company and our clients rely on daily for accurate and insightful data. As the team learned about our needs and industry, they have been able to anticipate and recommend enhancements that we never knew were possible. They are easy to work with and intuitive.
I would recommend Velvetech services because through the entire process of our project we felt well informed, listened to, and had full confidence in the technical ability of the team. Additionally, we appreciate the responsiveness and value.
Velvetech has been a great partner who helped us build a world-class platform for retail investors. This partnership helps us attract retail investors and provides tools for investors to manage their money and make informed trading decisions.
We help organizations make healthcare data analytics their best partner to streamline patient experience, provide better treatment, and increase clinic management.
Patient flow and outcome analytics across care settings
Operational dashboards for clinic and hospital management
Treatment and clinical data analysis for pharma needs
Financial Analytics
With analytics tools, businesses can harness the full potential of data to manage financial risks, monitor revenue, control expenses, and estimate profitability.
Risk exposure monitoring and scenario analysis
Revenue, expense, and cash flow reporting
Profitability analysis by product, client, or business unit
Insurance Analytics
The insurance sector takes advantage of analyzing data to enhance policy and claims management, advance fraud detection, and optimize underwriting processes.
Claims analytics to speed up processing and control costs
Fraud detection models that flag suspicious claims
Risk scoring to support underwriting decisions
Customer Analytics
Leverage the development of data analytics platforms to drive interactions with customers, segment them into groups, and personalize offerings.
Segmentation based on customer behavior and value
Churn prediction and retention analytics
Personalized offers and next-best-action recommendations
Sales & Marketing Analytics
We support sales and marketing teams by integrating analytics capabilities into CRM platforms and contact center solutions to track calls, campaigns, trends, and strategies.
Call, campaign, and pipeline tracking in a single view
Conversion and funnel analytics inside your CRM
Contact center analytics on call quality and sentiment
Supply Chain Analytics
Supply chain and logistics businesses embrace analytics to enable data-fueled processes and elevate warehouse operations, fleet management, and goods transportation.
Demand forecasting and inventory optimization
Warehouse performance and fulfillment analytics
Fleet, route, and shipment tracking dashboards
What technologies and tools are used for data analytics?
The exact stack is chosen around your existing systems, data volumes, security requirements, and budget. A typical solution can combine:
data integration and pipeline tools
a data warehouse or data lake on a cloud platform
a BI layer such as Power BI or Tableau
machine learning frameworks for predictive models.
A semantic layer keeps metrics consistent across tools.
How can data analytics integrate data from multiple sources?
Data is pulled from ERP, CRM, IoT, third-party, and legacy systems through APIs and ETL/ELT pipelines, then cleaned, matched, and consolidated in a warehouse or data lake. This gives a single consistent view of the business and removes the manual reconciliation of spreadsheets and conflicting reports.
How can businesses use AI and machine learning for data analytics?
ML powers forecasting, anomaly detection, segmentation, and risk scoring. Generative AI adds natural-language querying, copilots that answer business questions, and automated summaries of key changes. AI agents can also monitor metrics and recommend next steps. These capabilities work reliably only on well-governed data with shared metric definitions, which is why the data foundation comes first.
What is the difference between business intelligence and data analytics?
Business intelligence is narrower and focuses on describing past and current performance through reports, dashboards, and KPIs. Data analytics is the broader discipline: it includes BI, but also explains causes, predicts outcomes, and recommends actions using statistical and machine learning methods. BI answers “what is happening”; analytics also answers “why”, “what next”, and “what should we do”.
How do you ensure data quality, security, and governance in analytics solutions?
We build quality in through validation rules, profiling, and reconciliation at every pipeline stage. We also design security around role-based access, encryption, and audit trails to meet the regulations that apply to your industry. Governance isn’t left out, as we define data ownership, standards, and a shared metric catalog, so your teams can trust and trace every number.
How long does it take to implement a custom data analytics solution?
It all depends on the complexity of the requirements and the solution accordingly. For example, a consulting assessment and roadmap take a few weeks, a dashboard or reporting solution takes one to three months, and a custom analytics platform can take up to several months. Our experience helps us give clients an accurate timeline based on data sources and requirements.
Can legacy analytics systems be modernized?
Yes. Legacy reporting software and on-premises warehouses can be migrated to modern cloud architecture in phases, so reporting continues without interruption. Modernization typically includes moving and reconciling data, rebuilding pipelines, and replacing static reports with interactive dashboards and self-service analytics.
We’ve accumulated solid experience across many industries and business cases and consolidated some of its examples in one place to help you make the right decision.
We offer a variety of engagement models for you to choose the one that can expedite your IT initiative and expand software development capabilities in the most efficient and suitable way for your business.
Being more than a team of IT professionals, we support a flexible and progressive environment to adapt to our clients' needs, earn their trust, and grow expertise.
