Services

Technologies

Industries

About Us

Our Work - Case Studies

Our Predictive Analytics Consulting Services

We help you to gain valuable insights when it comes to your data.

This includes:

Improved business performance and understanding

Confident decision-making from reliable data

Turning your company's data into insights and actions

Select Distinct Business Analytics Simplified

Why do you need Predictive Analytics Consulting?

  • To make informed decisions from customer behaviour
  • To forecast  properly and keep track of trends
  • To improve both performance and productivity

Why choose Select Distinct as your Data Expert?

We are service led, rather than product-led. Providing you with solutions without buying more software

Registered Management Accounting practice

We specialise in Database Management and Modeling for businesses wanting to get the most from their management accounting and analytics

We work directly with your employees to upskill your team

Frequently Asked Questions

  • What is the difference between standard BI and predictive analytics?

    Standard Business Intelligence (BI) focuses on descriptive analytics—explaining what has already happened in your business. Predictive analytics consulting takes this a step further by using historical data, statistical algorithms, and machine learning to identify the likelihood of future outcomes.

  • Do I need a specific type of data to start with predictive modelling?

    While more data generally leads to better accuracy, the most important factor is data quality and consistency. We can work with your existing Power BI or SQL datasets to identify patterns. Our team helps you clean and structure your data to ensure your forecasts are reliable.

  • How long does it take to see results from predictive analytics?

    The timeline varies depending on data maturity, but most clients see initial proof-of-concept models within 4–6 weeks. This allows you to validate the accuracy of the predictions against real-world outcomes before scaling the model across the business.

  • Can predictive analytics be integrated into my existing Power BI dashboards?

    Yes. One of our core strengths is embedding predictive models directly into your existing Power BI environment. This allows your team to view future forecasts alongside their current KPIs in a familiar interface without needing to switch tools.

  • What are the most common use cases for predictive analytics?

    Common applications include demand forecasting (inventory management), customer churn prediction, sales trend analysis, and financial risk assessment. We tailor our consulting to solve the specific "future-facing" questions relevant to your industry.