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With our Data Analytics & Business Intelligence services.

Drive informed business decisions through data

In today’s fast-paced business environment, making informed decisions is crucial for success. Our team of experienced analysts and data experts is here to help you harness the potential of your data. Whether you need to optimise operations, gain valuable insights into customer behaviour, or enhance your strategic planning, we’ve got you covered. 

With cutting-edge tools and techniques, we transform raw data into actionable intelligence, enabling you to make data-driven decisions with confidence. 

Our Data Analytics & Business Intelligence services empower your organization to stay ahead of the competition, identify trends, and seize opportunities for growth. Trust us to navigate the complex world of data, turning it into a valuable asset that drives your business forward.

Clients Who Have Partnered With Us

Overview: A coupon based marketplace with a large dataset of rich data. Hyperli wanted to have one source of truth with their data in order to make data driven decisions.
BI and Analytics
Overview: For the cause! My Smart City brings municipalities closer to communities in South Africa whereby you can report faults relating to their cities with a tap of a button.
SEO & Analytics
Overview: Most likely the most complex website we have search engine optimised to date. The latest being an SEO migration.
Website Development
Overview: A hip company focussing on online reputation management and also one of our partners required a website which could be more product focussed and become a self service portal for its customers.
Website development
Overview: Ozprop a commercial property investment company in Sydney Australia has been our client since 2015, required a website which is easy to navigate to their acquisitions for clients to enquire.
SEO & Analytics
Overview: A startup with a great product! Product range was growing fast and so were the issues in organic search.
Overview: A startup directory focussed on bringing together all education in South Africa available to the world. They quickly realised the importance of search engine optimisation when Google started reporting issues in Google search console.
Website Development
Overview: Heineken Beverages brand, The Sip Collection was born out of a B2C market place, advertising all its best brands as a comparison site to shop through its B2B network.
Analytics & BI
Overview: The B2B marketplace of Heineken Beverages has a wealth of data and was in required our expertise to assist them in providing data to track revenue and sales in order to make data driven marketing decisions.
Website Development
Overview: Closed to our heart. Ithatha Ilali is focussed on helping orphans transition into the workplace after they leave an orphanage.

Still have questions...

Data analytics is the process of collecting, cleaning, analysing, and interpreting data to extract meaningful insights. It is used in a wide range of industries, including business, healthcare, finance, and science.

Business intelligence (BI) is a set of processes, technologies, and tools that help businesses to make better decisions by providing them with insights into their data. BI tools can be used to create reports, dashboards, and visualisations that make it easy for businesses to understand their data and identify trends.

The benefits of using data analytics and BI include:

  • Improved decision-making: Data analytics and BI can help businesses to make better decisions by providing them with insights into their data. This can lead to increased sales, improved efficiency, and reduced costs.
  • Increased competitiveness: Data analytics and BI can help businesses to stay ahead of their competition by identifying new opportunities and threats.
  • Better customer service: Data analytics and BI can help businesses to understand their customers better and provide them with better service.
  • Reduced risk: Data analytics and BI can help businesses to identify and mitigate risks.

There are two main types of data analytics: descriptive analytics and predictive analytics.

  • Descriptive analytics: Descriptive analytics is used to describe what has happened in the past. It can be used to create reports, dashboards, and visualisations that show trends and patterns in data.
  • Predictive analytics: Predictive analytics is used to predict what will happen in the future. It can be used to create models that can be used to forecast sales, identify customer churn, and predict fraud.

There are two main types of BI tools: self-service BI tools and enterprise BI tools.

  • Self-service BI tools: Self-service BI tools are designed to be used by business users without the need for BI Analysts. They are typically easy to use and require minimal training.
  • Enterprise BI tools: Enterprise BI tools are designed for large organizations with complex data needs. They are typically more powerful and flexible than self-service BI tools, but they can also be more complex and expensive.