NeoTek Solutions delivers data analytics and business intelligence (BI) services that turn data from your business systems into trusted dashboards, reports and metrics your leaders can run the business on. We build data warehouses, semantic models and Power BI or Tableau dashboards for finance, operations and executive teams who spend too much time building spreadsheets by hand. Our headquarters is in Nashville, and we work with organizations across Middle Tennessee and the US.
Most organizations do not lack data. They lack one version of the truth. Sales, finance and operations each keep their own numbers, and meetings start with an argument about which report is right. Good analytics fixes that first, then makes answers faster to find.
Who Needs Data Analytics and BI Services?
Our analytics work fits CFOs, operations leaders and IT directors. It is a good match if you:
- Build weekly or monthly reports by copying data into spreadsheets
- See different numbers for the same metric in different reports
- Have data spread across ERP, CRM, finance and operational systems
- Bought Power BI or Tableau licenses that few people use
- Have dashboards that are slow, broken or no longer trusted
- Want a data foundation that is ready for AI and machine learning
What Do Our Data Analytics Services Include?
Analytics Strategy and KPI Definition
We start with the decisions your leaders make and the questions they ask every week. Together we define each key performance indicator (KPI) in writing: what it measures, where the data comes from and who owns it. Clear definitions end most arguments about numbers before a dashboard is built.
Data Integration and Pipelines
We connect the systems that hold your data, such as ERP, CRM, finance, e-commerce, spreadsheets and operational databases. Pipelines extract, clean and load that data on a schedule, with checks that catch missing or duplicate records. We use tools that fit your platform, such as Azure Data Factory, Microsoft Fabric, AWS Glue, dbt or Fivetran.
Data Warehouses and Lakehouses
We build warehouses that store cleaned, structured data in a form designed for reporting and analysis. We design and deliver warehouses and lakehouses on platforms such as Microsoft Fabric, Azure Synapse, Snowflake, Google BigQuery, Amazon Redshift or Databricks. Our data lakehouse architecture shows how the layers fit together.
Semantic Models and a Single Source of Truth
We build one semantic model that holds your shared business definitions, such as revenue, margin or on-time delivery. Every dashboard and report then uses the same calculations. That is what turns a collection of reports into numbers your people trust.
Dashboards and Reports
We design dashboards in Microsoft Power BI, Tableau or Looker around the questions each audience asks. Executives get a short view of the measures that matter, and managers get detail they can drill into. We follow clear visual design, so dashboards are fast to read on a laptop or phone.
Self-Service Analytics and Training
We set up certified datasets, workspaces and permissions so business users can build their own reports safely. We then train report builders and everyday users on your data and your tools. The goal is fewer report requests waiting on IT.
Dashboard Rescue and Performance Tuning
Many organizations already have dashboards that are slow, wrong or abandoned. We review data models, refresh schedules and calculations, fix errors and remove duplicate reports. We also tune performance and licensing so you pay only for what people use.
How Does AI Fit Into Analytics?
AI is changing how people get answers from data, but it only works on a clean, well-defined foundation.
Natural Language Questions
Tools such as Copilot in Power BI and Tableau’s AI features let users ask questions in plain language and get a chart back. We prepare your semantic model, naming and permissions so those answers are accurate and only show data each person is allowed to see.
AI-Assisted Insights
AI can flag unusual changes, summarize what moved in a report and draft commentary for monthly reviews. People still check the explanation before it goes to leadership.
From Reporting to Prediction
The dashboards we build explain what happened and why. When you want to predict what happens next, such as demand, churn or risk, our machine learning and data engineering team builds on the same data platform.
Power BI, Tableau or Looker?
All three are capable tools. We are vendor-neutral and recommend the one that fits your existing software, licensing and users.
| Consideration | Microsoft Power BI | Tableau | Looker |
|---|---|---|---|
| Often a good fit for | Microsoft 365 and Azure users | Visual exploration and analysts | Google Cloud and BigQuery users |
| Shared business logic | Semantic models | Published data sources | LookML models |
| AI features | Copilot in Power BI | Tableau AI features | Gemini in Looker |
How Does a Data Analytics Engagement Work?
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Discover
We interview leaders and report users, review current reports and systems, and agree on the questions and KPIs that matter most.
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Assess the Data
We profile your source data, find quality gaps and design the target warehouse, semantic model and security approach.
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Build the Foundation
We build pipelines, the warehouse and the semantic model, with data quality checks and access controls from the start.
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Deliver Dashboards in Stages
We release dashboards one business area at a time, reviewing each with users and checking numbers against trusted sources.
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Adopt and Improve
We train users, monitor refreshes and usage, and add new data and reports as your needs change. Ongoing support is available if you want it.
Why NeoTek Solutions
- Business-firstWe start with the decisions and KPIs your leaders care about, not with a tool.
- Trusted numbersWritten definitions, data quality checks and one semantic model keep reports consistent.
- Vendor-neutralWe work with Power BI, Tableau, Looker and the major cloud data platforms.
- AI-readyThe same foundation supports AI search, forecasting and AI agents later.
- Local teamWe are headquartered in Nashville, with a second office in Hyderabad, India, and serve organizations across the US.
Related Services
How Can NeoTek Solutions Help You Get Trusted Numbers?
Most teams already know which reports they argue about. We build the foundation that settles it, in stages you can fund one at a time.
- Work we deliverWritten KPI definitions, data pipelines, a warehouse or lakehouse, a shared semantic model and Power BI, Tableau or Looker dashboards.
- Built on the systems you haveWe connect ERP, CRM, finance, e-commerce and operational databases, and build on Microsoft Fabric, Snowflake, BigQuery, Databricks or your current platform.
- Rescue as well as new buildsWe review slow, broken or abandoned dashboards, repair what is worth keeping, retire duplicates and tune performance and licensing.
- How we workShort cycles with AI-assisted delivery and human review, agreed acceptance criteria and dashboards released one business area at a time, so scope and cost stay visible.
- Skills on the teamData engineers, BI developers, AI and machine learning engineers, cloud and security specialists and QA, so pipelines, models, dashboards and access controls come from one team.
- What makes us differentWe are vendor-neutral across Power BI, Tableau, Looker and the major cloud data platforms, you own what we build and your data never trains public models.
Tell us which report takes too long to produce. Book a free AI consultation and we will suggest a practical first step toward one source of truth.
Frequently Asked Questions
Do you build dashboards, or deeper analysis too?
Both. We build the dashboards and reports that show what happened and how the business is performing. We also dig into why results changed and, with our machine learning team, what is likely to happen next.
Do we need a data warehouse before you build in Power BI or Tableau?
Not always. For small teams we connect dashboards straight to a few sources. As your systems, users and reports grow, we add a warehouse and a shared semantic model to keep numbers consistent and dashboards fast.
Can you fix our existing dashboards instead of starting over?
Yes. We often start by reviewing existing reports, data models and refresh schedules. We fix what is worth keeping, retire duplicates and rebuild only where the design cannot be saved.
How long does it take to get our first dashboard?
It depends on how many systems are involved and how clean the data is. We deliver in stages, so the first business area usually comes before the full data platform is finished. We agree on the timeline after the data assessment.
How do you keep our data secure in a cloud warehouse?
Cloud data platforms have strong controls, and we configure them properly. We set up encryption, role-based access, row-level security and logging. For regulated data such as health or financial information, we work within your compliance program.