Data Visualization Services That Turn Your Data Into Decisions

Data visualization services take the data your business already collects, clean and connect it, and present it as interactive dashboards and reports that answer specific questions: what happened, why, and what to do next. You get the working dashboards, the data model underneath them, and a team trained to use both.

Lightray Solutions builds them in Power BI, Tableau, Looker Studio (formerly Google Data Studio), Looker or a custom web view, whichever fits the tools you already pay for. The work is done by Edward Pinela, MBA, a principal consultant with 20+ years in data and analytics, and not handed off to junior staff.

Dashboard builds are priced per project and quoted in writing after a free 30-minute strategy call, which is the first step: use the form on this page or call, and Edward sets the time with you. Teams that only need senior Power BI hours can use Power BI Flex Support, from $2,500 for 20 hours.

What does confusing reporting actually cost you?

Data that is hard to read does not just waste time. It costs money in ways that rarely show up on a report, because the report is the thing that is broken: staff hours spent assembling numbers, decisions made after the moment has passed, and meetings spent arguing over which figure is correct.

Most businesses already have the data. What they lack is one version of it that everyone trusts, laid out so the answer is visible without an analyst walking people through it.

• Hours lost to report building. Skilled people copy, paste and reconcile spreadsheets every week instead of doing the work they were hired for.
• Decisions made too late. By the time the month-end numbers are assembled, the opportunity or the problem has already moved on.
• Decisions made on the wrong number. Two departments quote two different revenue figures, and the meeting becomes an argument about whose spreadsheet is right.
• Silos. Sales, finance and operations each see their own slice, so nobody sees how a change in one area hits the others.

What do our data visualization services include?

A good-looking chart on top of bad data is still bad data, so every engagement covers the full path from raw source to decision: agreeing the metrics, cleaning and connecting the data, designing the dashboards, setting up refresh, and training the people who will use them. You are not buying only the final screen.

• Strategy and KPI definition. Not sure what to track? We help you decide which numbers actually drive your business and define each one precisely, so everyone calculates it the same way. For KPI-first projects, see KPI dashboard creation.
• Data cleanup and organization. Duplicates, inconsistent names, missing values and mismatched date formats are fixed at the source or in a repeatable transformation step, so insights are accurate every refresh.
• Integration across systems. CRM, accounting software, marketing platforms, Excel files and databases combined into one model, so a single dashboard can show the whole picture.
• Custom dashboards and reports. Built around your goals and your audience, not a generic template: executive summaries, operational views and detail pages that drill down to the transaction.
• Data storytelling. Layouts, titles and annotations that lead the reader to the conclusion, because numbers alone do not get people moving.
• Tool setup and connection. Already using Power BI, Tableau or Looker Studio? We connect your sources, set up scheduled refresh and make it all work together.
• Training and guides. Your team learns to read, filter and extend the dashboards, with written guides they can come back to.
• Ongoing support. Your business changes and your dashboards should too. We keep them accurate and useful as new questions come up.

Which chart answers which question?

Choosing the visual is not decoration; it decides whether the reader sees the answer or misses it. We start from the question a dashboard has to answer and pick the form that makes that answer obvious: trends as lines, comparisons as bars, progress against a goal as a KPI card.

The table below is the short version of the rules we design by, drawn from the chart guidance in Microsoft's Power BI documentation and applied the same way in Tableau or Looker Studio.

How does a data visualization project work?

It runs in six steps, from discovery through data work, build, validation and launch to ongoing support. Most projects take 4 to 8 weeks from start to finish, depending on how many data sources are involved and how clean they are. You get a clear timeline after the first working session, before any build begins.

• 1. Discovery. A working session on the decisions you need to make, who makes them, and which systems hold the data. We leave with a short list of questions the dashboards must answer.
• 2. Data audit and model. We inspect each source, fix what is broken and build a data model with the metric definitions written down, so the numbers reconcile with your finance team.
• 3. Design and build. A first working version early, reviewed with real users, then refined. You see progress in your own data rather than in mockups.
• 4. Validation. We test figures against the reports you trust today and explain every difference before anything goes live.
• 5. Launch and training. Publishing, access and refresh schedules set up, plus hands-on training and guides for the people who will use it.
• 6. Support as you grow. New questions, new data sources and new users handled as they come. Teams on Power BI can buy prepaid Power BI Flex Support hours, from $2,500 for 20 hours.

Which data visualization service do you need?

This page covers the full service, from metrics to finished dashboards. If you already know the shape of the problem, a narrower service may fit better: advice before a build, engineering inside Power BI, a single leadership view, or moving spreadsheet reporting. Each has its own page that goes deeper:

• Data visualization consulting when you need advice on strategy, tools and design standards before or alongside a build.
• Power BI dashboard development for custom data modeling, DAX and report design inside Power BI.
• Executive dashboard design for leadership-level views of financial and strategic KPIs on one screen.
• Excel to Power BI migration when the reporting you rely on still lives in spreadsheets.

Who is this service for, and when is it not a fit?

Our data visualization services suit small and mid-sized businesses whose data is spread across several systems, leaders who want one trusted view of performance, and teams that have bought Power BI or Tableau but never got beyond a few static reports.

It is not a fit if you need a one-off infographic or marketing graphic, or if nobody on your side can give us access to the source systems. If a spreadsheet and a simple chart would genuinely do the job, we will tell you on the first call rather than sell you a dashboard project.

Why work with Lightray Solutions?

You work directly with Edward Pinela, MBA, from the first call to the finished dashboard. With 20+ years in data and analytics and 200+ projects delivered, the person designing your dashboards is the same person who understands the business questions behind them.

If you are comparing data visualization companies, ask each one three questions: who actually builds the dashboards, who owns the data model when the project ends, and what happens when a number looks wrong. Here the answers are Edward, you, and a documented metric definition you can check yourself.

We also look after the layer underneath the visuals. Security is set up so people only see the data they are meant to, metric definitions are documented, and when your sources need more than a dashboard can fix, data warehouse consulting and Microsoft Fabric work are in the same practice rather than a hand-off to another firm.

Clients rate us 4.9★ on Google. Send the form or phone us to request your free strategy call; every inquiry gets a reply within 4 business hours.

Further reading: Overview of visualizations in Power BI (Microsoft Learn).