Business Analytics

Business analytics is essential for organisations to gain insights from data, make informed decisions, and achieve a competitive advantage in the respective markets.

Business Analytics enables you to make more informed business decisions based on real data 

In today’s competitive business environment, making informed decisions is essential for the success and growth of any business. One of the most effective ways to achieve this is by using business analytics. By integrating and leveraging operational and financial data, we can help companies identify trends, understand customer behaviour, and develop strategies to minimise risk, increase efficiency, and optimise profitability.


Meaningful dashboards presenting relevant data from disparate systems are also essential tools that enable businesses to track key performance indicators (KPIs) and monitor progress towards goals. We can present your data in a clear and concise way to help you make informed decisions. With meaningful dashboards, we can easily identify patterns, spot potential problems, and adjust business strategies accordingly.

Business Intelligence (Data Integration & Visualisation

By using state-of-the-art software we have developed easy-to-understand visualisations that display how each area is contributing towards achieving your strategies. We will ensure that resources are being allocated effectively and efficiently, and help your business stay ahead of the curve in increasingly competitive markets. 

Data Analytics

With extensive experience in data analytics, our team have successfully solved a variety of business problems such as identifying customer behaviour patterns and reducing churn rates, optimising inventory management, predicting employee attrition and implementing effective pricing strategies.

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Understanding the importance of Business Analytics

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What makes MGI Dobbyn Carafa different?

Big firm capability...small firm relationships

Equipped with a team that has the experience and capabilities of a big firm, but maintaining our deep, personal connection is something we pride ourselves on. Our team are highly supported and we are conscious of wanting to keep our numbers small, but our value high.



Decades of expertise

We have a team of experienced professionals from a diverse range of backgrounds, highly qualified for every business need. Some of the qualifications our team possess include:


Client Net Promoter Score®

We take great pride in our customer service and the deep relationships we have with our clients and we are humbled to learn that our clients feel the same way.


Employee Net Promoter Score®

Much like client NPS®, we take great pride in our employee engagement and the deep relationships we have with our team as we support them on their professional journey.

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Frequently asked questions

Business analytics involves the use of methodologies such as data mining, predictive analytics, and statistical analysis to analyze and transform data into useful information. This information is used to identify trends, anticipate outcomes, and make data-driven decisions.

There are several types of business analytics, including:

Descriptive analytics: This type of analytics focuses on understanding historical data to gain insights into what has happened in the past.

Diagnostic analytics: Diagnostic analytics helps identify the reasons behind certain outcomes by analyzing historical data and uncovering patterns and relationships.

Predictive analytics: Predictive analytics uses historical data to make predictions and forecasts about future outcomes.

Prescriptive analytics: Prescriptive analytics provides recommendations on the actions to take based on predictive insights to optimize outcomes.

Better decision-making: By analyzing data, businesses can make more informed decisions based on facts and insights.

Financial analysis: Analytics helps in financial planning, budgeting, and forecasting. It enables organisations to analyse financial data, identify patterns, and make strategic financial decisions to optimise revenue, reduce costs, and maximise profitability.

Operational Efficiency: Analytics can optimize operational processes by identifying inefficiencies and bottlenecks. It helps in streamlining workflows, improving resource allocation, and enhancing overall efficiency in various business operations.

Improved customer experience: By analysing customer data, businesses can personalise their offerings and provide a better customer experience.

Competitive advantage: Business analytics can help identify market trends, customer behavior, and competitor strategies, allowing businesses to stay ahead of the competition.
Supply Chain Optimisation: Analytics helps in optimizing supply chain management by analysing data related to inventory levels, production schedules, and logistics. This optimization leads to cost savings, improved delivery times, and better overall supply chain performance.

Marketing Effectiveness: Analytics is crucial in measuring the effectiveness of marketing campaigns. Businesses can track key performance indicators (KPIs), analyse customer response to marketing efforts, and adjust strategies in real-time to maximise the impact of marketing initiatives.

Human Resources: The integration of analytics in HR functions empowers organisations to enhance overall workforce management, foster a healthy and engaged workplace, and contribute strategically to the achievement of business objectives.

The main purpose of business analytics is to leverage data and analytical techniques to gain insights, which can help businesses make better decisions, optimize processes, improve performance, and achieve strategic objectives. It enables businesses to turn data into actionable intelligence that drives growth and success.

Ultimately, business analytics serves as a powerful tool to seamlessly integrate financial and non-financial data to be used in board and management reports, shedding light on the various drivers that collectively shape overall business performance. This integration fosters a profound comprehension of the cause-and-effect relationship between operational activities and financial outcomes, empowering organisations to enhance forecasting accuracy, optimise resource allocation, and proactively manage risks. 

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