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Data Engineering consulting

Cutting-edge data integration tools and advanced data engineering techniques simplify and speed up data preparation for analytics. These tools efficiently clean, transform, and integrate data from various sources, ensuring seamless combination for analytics.

Let’s discuss your data engineering needs to determine strategies and tools for streamlined data processes, as well as optimising your data readiness for insights and analytics.

Supercharge your data engineering prowess with Metric Labs. Discover how our expertise can transform your business.

Technologies and tools

Navigating the ever-expanding landscape of data engineering software and integration tools can be daunting.

Let our expert consultants guide you in selecting the optimal tools for your specific data architecture. Streamline your data workflows, enable your data teams, and deliver reliable data to your business faster and more efficiently.

Data Engineering services

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Data Integration

Our expertise lies in guiding you towards optimal data integration solutions tailored to your diverse data sources. We assess the most suitable integration tools and techniques for your specific requirements, advising on the ideal integration points such as data lakes, persistent staging layers in data warehouses, or dimensional warehouses. Additionally, we assist in prioritising data integration to effectively manage costs associated with transformation and storage, ensuring a streamlined and cost-efficient process.

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Data Cleansing and Data Quality

At Metric Labs, we can assist you in establishing realistic standards and thresholds for data quality. We can help you determine the most suitable approach to data cleansing, optimise your existing cleansing tools, and gain organisational buy-in for initiatives that prioritise data quality. Our guidance ensures effective strategies are in place to support data quality throughout your organisation.

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Data Transformation

To establish a reliable business-ready layer in your data warehouse, it's essential to cleanse your data, merge it with various data sources, and enrich it with derived business logic. We assist you in transforming raw data into valuable insights by leveraging established principles, cutting-edge technologies, and proven techniques. The result is a robust analytics solution that's easily accessible to end-users, empowering them with actionable insights.

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Data Pipelining

We specialise in creating and implementing data pipelines that utilise advanced frameworks such as ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform). These pipelines automate workflows, streamline testing, standardise data transformation, and eliminate bottlenecks in data engineering. By harnessing the power of ETL and ELT, we optimise the value of your data, enabling well-informed decision making.

Client testimonials

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“I have worked with Vincent from Metric Labs for over 5 years now.

Over the years we have seen our organic visibility and revenue grow by over 170% with our paid search growing over 600% making us the leading police check vendor in Australia.

The team at Metric Labs is also diligent, responsive and really pleasant to work with"

Martin Lazarevic

National Crime Check

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“It comes down to integrity and the ability to deliver that would define the Metric Labs team.

In this forever evolving digital landscape, Metric Labs is always coming up with clever ways to stay ahead of the curve and get cut-through in this saturated space.

If you are in need of an amazing digital agency, you really don’t need to look any further than Metric Labs.”

Lauren Earl

Manning Cartell

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“We have worked with Metric Labs on building our digital marketing presence. We’ve found the team extremely knowledgeable and easy to work with.

They have helped us to grow our leads by a significant amount and were always in contact about campaign activities.

The team also provided us with invaluable reporting and insight into our campaigns, which allowed us to regularly iterate and improve to consistently meet our objectives.”

Stephanie Lay

Good Capital Group

Happy Clients

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Case Studies

Frequently asked questions

Why do I need data analytics?

Data analytics has grown to become a core part of many modern businesses. It helps to identify trends and metrics that can be used to make actionable insights. Whether it is a better understanding of your customers or measuring your website and product performance, every business can benefit from unlocking the deeper insights in their data.

What is data integration?

Data integration is the process of connecting diverse data from various sources to enable unified analysis. As organisations accumulate more data, they often face challenges related to isolated data sources, such as data quality issues, fragmented information, duplicated efforts, and resource wastage. By breaking down data silos, businesses can enhance the value of their data by adding context and perspective. Effective data integration allows organisations to meet business demands, save time and money, reduce errors, improve data quality, and deliver valuable insights to users, enabling them to focus on valuable analysis.

What is data cleansing?

Data cleaning, also referred to as data cleansing, is a crucial aspect of data quality management. It involves tasks such as filling in missing data, rectifying inaccuracies, and eliminating duplicate entries. It is imperative for organisations to proactively oversee and maintain data quality. Poor-quality data, including duplicates, outdated information, incomplete records, insecure data, inaccuracies, or inconsistencies, can have detrimental effects downstream. These effects encompass making bad decisions, missing out on opportunities, slowing down workflows, and eroding trust in the data throughout the entire business.

What is data piplining?

Data pipelining, also known as a data pipeline, refers to the process of moving and transforming data from various sources to a destination system or storage location. It involves a series of steps and operations that extract, transform, and load (ETL) the data, enabling its efficient and structured flow. Data pipelining ensures that data is processed, integrated, and made available for analysis, reporting, or other purposes. It plays a critical role in data management and enables organizations to streamline data workflows, maintain data quality, and facilitate data-driven decision making.

What are ETL and ELT?

ETL and ELT are two common data integration and processing approaches.

ETL, or Extract, Transform, Load, involves extracting data from various sources, transforming it to meet the target system’s requirements, and then loading it into the destination system (e.g., data warehouse or database). ETL is typically a batch-oriented process where data is staged and transformed before being loaded.

ELT, or Extract, Load, Transform, takes a different approach. It involves extracting data from source systems and loading it directly into the target system without extensive transformation. The transformation step occurs within the target system, utilizing the processing capabilities of the data warehouse or database. ELT leverages modern data storage and processing technologies, allowing for more flexible and agile data transformations.

How do I get started with data engineering for my business?

Getting started is simple. Just email us hello@metriclabs.com.au or call us on 02 9160 0711 .

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