Data Management & Insights

From raw data to useful business insights

We bring your business data together and turn it into clear, useful insights.

A practical approach

Make your business data more useful

We help small and medium-sized businesses clean and connect their data, structure it in a spreadsheet or SQL or NoSQL database, and make it useful through reports, dashboards, and analysis.

Your information may be spread across spreadsheets, business tools, or existing databases. We can help organize it, create a practical workflow to move and prepare it, and use it to answer real business questions.

Data from spreadsheets, business tools, and databases brought together in an analytics dashboard

Collect

Everyday activity creates useful data

Sales, enquiries, purchases, payments, and completed jobs all create data. We can help you decide which information is useful to track and set up a consistent way to collect it. With clean, reliable records, you can see what is working and where to focus.

Prepare

Bring your information together

The right information depends on your business and the decisions you want to make. We can help organize data from spreadsheets, business tools, and databases into reports and dashboards that make those answers easier to find.

Data from spreadsheets, business tools, and databases brought together in an analytics dashboard
Data from spreadsheets, business tools, and databases brought together in an analytics dashboard

Analyze

Explore patterns and what may come next

We can analyze trends over time, compare products or customer groups, and investigate what may be driving results. When useful, statistical methods or machine learning can help identify patterns and create forecasts.

Trends Comparisons Patterns Forecasts

Visualize and hand over

Build automated dashboards

We can connect your prepared data to dashboards that refresh on a regular schedule. Your team can check key metrics in one place, without manually rebuilding reports each time.

A person at a desk with two monitors: data flows from a spreadsheet on one screen into a dashboard on the other, which updates its figures and charts.

Data & Insights

Explore data and dashboard examples

See what information a business can collect, which questions it can answer, and how the results can appear in a dashboard.

  • Sales and orders

    Data collected

    Key information a business can collect about sales and orders.

    Date, product or service, quantity, price, discount, and sales channel.

    Questions this data can answer

    Here are some of the questions a business can explore.

    • Which products or services bring in the most revenue?
    • When does demand rise or fall?
    • Which sales channels perform best?

    Sales dashboard

    See how this data can appear in a dashboard to answer those questions.

  • Customer enquiries

    Data collected

    Key information a business can collect about customer enquiries.

    Enquiry date, service requested, referral or marketing source, response time, and outcome.

    Questions this data can answer

    Here are some of the questions a business can explore.

    • Where do your enquiries come from?
    • How many become customers?
    • Are slow responses linked to missed opportunities?

    Enquiries dashboard

    See how this data can appear in a dashboard to answer those questions.

  • Inventory and purchasing

    Data collected

    Key information a business can collect about inventory and purchasing.

    Items purchased and sold, stock levels, supplier, purchase date, and delivery time.

    Questions this data can answer

    Here are some of the questions a business can explore.

    • Which items sell fastest?
    • When should you reorder?
    • Are supplier delays or excess stock affecting your business?

    Inventory dashboard

    See how this data can appear in a dashboard to answer those questions.

  • Costs and payments

    Data collected

    Key information a business can collect about costs and payments.

    Expenses, invoices, payment dates, amounts due, and amounts received.

    Questions this data can answer

    Here are some of the questions a business can explore.

    • Which costs are increasing?
    • How long do customers take to pay?
    • What does your cash flow look like over time?

    Finance dashboard

    See how this data can appear in a dashboard to answer those questions.

  • Jobs and service delivery

    Data collected

    Key information a business can collect about jobs and service delivery.

    Job type, dates, status, hours, completion time, and customer feedback.

    Questions this data can answer

    Here are some of the questions a business can explore.

    • Where do delays occur?
    • Which services take the most time?
    • Are customers satisfied with the work?

    Jobs dashboard

    See how this data can appear in a dashboard to answer those questions.

  • Team workload and performance

    Data collected

    Key information a business can collect about team workload and performance.

    Tasks assigned and completed, time spent, turnaround time, quality checks, rework, and relevant customer feedback.

    Questions this data can answer

    Here are some of the questions a business can explore.

    • Is work distributed evenly?
    • Where are delays or repeat errors occurring?
    • Which tasks take the most time?
    • Where might the team need more training or support?

    Team dashboard

    See how this data can appear in a dashboard to answer those questions.

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Our approach

How PraTech turns business data into useful answers

PraTech begins by understanding your business question, then helps collect, prepare, and analyze the right data. We turn the findings into clear reports, dashboards, or practical workflows your team can use.

01

Understand the goal

Define what you want to know, where the data lives, and how you use it today.

02

Clean and prepare

Check for duplicates, missing values, inconsistent formats, and files to combine.

03

Choose the right structure

Choose a spreadsheet, SQL database, or NoSQL database to suit the project.

04

Connect and move data

Create an ETL workflow to extract, transform, and load data where systems allow.

05

Build useful outputs

Turn business questions into analysis, reports, and dashboards.

06

Document and hand over

Explain how the data structure and reports work, and discuss ongoing support.

Built around your project: The right tools and level of automation depend on your data, systems, and access.

Put your data to work