Big data & advanced analytics

Transform your data into actionable insights

Simplifying complex data sets

In this era of digital transformation, utilising Big Data is no longer optional – it is essential. At Varn, we help businesses like yours unlock the potential of advanced analytics tools, so that you can make data-driven decisions that fuel growth. Whether you need support with Google 360, Google BigQuery, predictive analytics, or integrating third-party data sources, our team of experts will ensure your analytics are accurate, scalable, and tailored to your business goals.

We take the complexity out of managing and interpreting Big Data, providing clear insights that empower you to stay ahead of the competition. From designing bespoke analytics solutions to troubleshooting existing setups, we’re here to help you every step of the way.

Google Partner

Get in touch to harness the power of Big Data today

Big Data solutions tailored to your business

Big Data can be overwhelming, but it doesn’t have to be. Whether you’re struggling to manage vast amounts of data, looking to implement predictive analytics, or need help integrating third-party APIs, Varn’s expert team has the knowledge and experience to create advanced analytics solutions tailored to your specific needs.

During our consultation process, we’ll work with you to understand your goals and challenges, providing expert advice and a roadmap for implementing solutions that align with your business strategy. We’ll keep you informed throughout the process, delivering robust analytics tools that make interpreting and utilising Big Data straightforward and effective.

Google 360

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Google 360

Google Analytics 360 allows us to carry out data analysis on a larger scale. Our team can help you unlock the full potential of Google 360 by setting up advanced features like custom funnels, data-driven attribution, and audience segmentation. Whether you're migrating to Google 360 or optimising your current setup, we'll ensure you can fully leverage the insights it provides.

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Google BigQuery

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Google BigQuery

When it comes to processing large datasets, Google BigQuery is a game changer. We can help you set up and optimise your BigQuery environment, enabling lightning-fast analysis of your data. From integrating BigQuery with other Google tools to building complex SQL queries, we'll ensure your Big Data setup is efficient and effective.

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Machine learning & predictive analytics

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Machine learning & predictive analytics

Looking to move beyond traditional analytics and into predictive modeling? Our experts can help you implement machine learning solutions that uncover trends, predict outcomes, and identify opportunities. From training machine learning models to integrating predictive analytics into your existing workflows, we'll guide you through the entire process.

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Third party data sources & APIs

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Third party data sources & APIs

Combining internal data with third-party sources can provide richer insights. We can help you integrate external data sources and APIs, ensuring seamless data flow into your analytics platform. Whether you’re connecting CRM data, social media metrics, or external market trends, our team is here to help.

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Some of our happy clients

Do you need help with Big Data?

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FAQs

01.

What is big data, and why is it important for businesses?

Big data refers to large, complex datasets that traditional data processing tools cannot handle efficiently. It’s important for businesses because it enables them to uncover patterns, trends, and insights that drive smarter decision-making, enhance customer experiences, and improve operational efficiency.

02.

How does advanced analytics differ from traditional analytics?

Traditional analytics focuses on analysing historical data to understand past performance, while advanced analytics uses techniques like machine learning, predictive modeling, and data mining to predict future outcomes and provide actionable insights for proactive decision making.

03.

What tools are used for big data analytics?

Common tools for big data analytics include Google BigQuery, Tableau, Microsoft Power BI, and Python libraries like Pandas and NumPy. The choice of tool depends on your business needs, data size, and complexity.

04.

How can Google BigQuery help with big data analytics?

Google BigQuery is a serverless, cloud-based data warehouse designed for processing and analysing massive datasets quickly. It allows businesses to run SQL queries on petabyte-scale data and integrates seamlessly with other Google Cloud tools for advanced analytics.

05.

What is machine learning in advanced analytics?

Machine learning is a subset of artificial intelligence that enables systems to learn and improve from data without being explicitly programmed. It’s used in advanced analytics for applications like fraud detection, customer segmentation, predictive maintenance, and personalised recommendations.

06.

What are predictive analytics?

Predictive analytics uses historical data, machine learning, and statistical techniques to forecast future events. Businesses benefit by anticipating customer needs, optimising inventory, improving marketing strategies, and reducing risks.

07.

How can third-party data sources improve my analytics?

Third-party data sources provide additional context and depth to your existing datasets. For example, demographic data, weather patterns, or market trends can enhance customer segmentation, improve demand forecasting, and support more accurate decision making.

08.

What are the challenges of implementing big data analytics?

Challenges include data integration from multiple sources whilst ensuring data quality and accuracy. It is also difficult to find skilled professionals who are able to analyse and interpret your data effectively, which is where the data experts at Varn can help.

09.

Can small businesses use big data and advanced analytics?

Small businesses can use big data and advanced analytics to identify customer trends, optimise marketing campaigns, improve supply chain efficiency, and enhance customer experiences. Cloud-based tools like Google BigQuery and Power BI make advanced analytics accessible even for smaller businesses.

10.

What is the role of data visualisation in big data analytics?

Data visualisation helps translate complex data into easy-to-understand charts, graphs, and dashboards. This makes it easier for stakeholders to identify patterns, trends, and outliers, enabling quicker and more informed decision making.

What does your data journey look like?

Your data journey with Varn begins with untangling complex metrics, transforming raw data into clarity. We empower you to translate this clarity into impactful strategic decisions and actionable insights that drive measurable outcomes. Our 5 step data journey will give clarity and understanding and we will help you to uncover the insights your business is looking for at each and every step.

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