Data analytics drives your customer acquisition, retention, sales, products and service development and innovation. Data is the lifeblood of your business.


Data analytics boosts your business performance and improves your bottom line. Without data you’re flying blind.

“The goal is to turn data into information and information into insight.”
– Carly Fiorina, former CEO, Hewlett Packard.

I find that most businesses fall into two categories:


1. Not capturing the data you need

2. Capturing random data and not applying it strategically


We can help you at either stage. Whether you need systems and processes set up to gather your data or help implementing your data strategically to innovate your business, we can help.

Data analytics best practices can help your business thrive in the following ways:


 Increase customer acquisition and retention
Reduce costs
Increase efficiency
Identify weaknesses and failures
Design new products and services
Conduct 360-degree customer reviews
Identify and prevent fraud
Increase operational efficiency
Optimize pricing strategies
Make smarter business decisions
Improve marketing campaigns

Data and insights grow your business exponentially.


We can help you set up data systems and procedures to track data to:

Understand your customers’ buying habits
Capitalise on trends
Get an advantage over your competitors
Innovate systems, services and products such as your customer experience journey

How can you use data analytics to uplevel your business?


1. Descriptive Analysis

If you have a question about something that has already happened, then descriptive analytics can help you answer it. Descriptive analytics is used as a way to explain something to stakeholders. It can track return on investment (ROI) and other metrics of past performance. Descriptive analytics discovers what happened and when.

2. Diagnostic Analytics

Like a diagnosis, diagnostic analytics provides insight as to why something happened. It works hand-in-hand with descriptive analytics to further explain critical findings. If you take a look at key performance indicators (KPIs) and want to understand why something improved or got worse, then diagnostic analytics help to:

Identify anomalies in data
Collect the data that helps to understand the changes
Uses statistical techniques to help explain such anomalies

For example, diagnostic analytics can help answer why your team may have missed its targeted goals in a given period.

3. Predictive Analytics

As the name implies, predictive analytics work to answer questions about what could happen in the future. This analytic method leverages past data to evaluate trends and estimate the likelihood of something recurring.


Need help with your customer data? Book in for a free consultation.

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