Why is it challenging to make the most of your data?
Organisations focused on growth and efficiency are constantly seeking ways to maximise the potential of their data to enable smarter, more accurate business decisions. Data analytics and artificial intelligence (AI) are now crucial tools, enabling organisations to not only gain insights into their current position but also to strategise for future success. According to the Gartner survey on data analytics in organisations, 61% of companies are developing a data analytics operating model to leverage opportunities from AI.
To fully harness AI's potential, the first step is effective data preparation. This ensures that your data meets quality standards, enabling algorithms to perform precise analyses. In other words, you have to use 'good data', meaning accurate and reliable data, to inform business decisions with maximum impact.
What makes data 'good data'? Key qualities include:
- Accuracy. The data is correct and reflects real-world meaning.
- Integrity. The data is consistent and free of contradictions.
- Completeness. All necessary information is present for a comprehensive assessment.
- Reliability. Data is trustworthy and consistently dependable.
- Relevance. Data is pertinent to specific analyses and decision-making.
Organisations often encounter issues when the same data is stored across multiple sources. This makes it unclear which source is accurate, leading to errors and unreliable insights. While many data analytics solutions aim to improve data quality, they often address only part of the data management challenge. Microsoft Fabric, however, provides a comprehensive platform for managing and resolving data quality issues end-to-end.
What is Microsoft Fabric?
Microsoft Fabric is a powerful, unified platform designed to help organisations tackle complex data management and analytics challenges. It offers a single infrastructure for integrating, analysing, and leveraging data to support informed decision-making. Operating in the Azure cloud as a SaaS solution, Microsoft Fabric combines all essential analytics functions into a single platform, enabling users to manage and analyse data without complex setups or significant upfront investment.
Key components of Microsoft Fabric:
- OneLake. A centralised data storage solution that keeps all organisational data in one place.
- Data factory. A tool for seamlessly connecting external data sources and integrating them into a unified system.
- Data warehouse. An optimised data warehouse designed for efficient data analysis.
- Real-time Intelligence. It provides real-time insights, allowing organisations to make decisions based on up-to-the-minute information.
- Data science. Tools for advanced tasks like prediction and modelling.
- Data engineering. Tools to design and optimise data processing workflows.
- Power BI. Comprehensive visualisation tools for creating customised reports and interactive data visualisations.
This platform not only connects various data sources but also ensures accurate, reliable data analysis. Microsoft Fabric is ideal for companies aiming to improve their decision-making process, enabling them to efficiently manage and analyse large data streams. The Baltic Amadeus data analytics team sees Microsoft Fabric as a cost-effective solution that scales easily as business needs grow, and our certified specialists have hands-on experience implementing it across a wide range of organisations.
3 steps to using Microsoft Fabric effectively
How do you get started with Microsoft Fabric? To unlock the full potential of your data and benefit from advanced analytics, we recommend following these three essential steps. This approach helps organisations manage data efficiently and make well-informed decisions using modern analytics tools.
Step 1: Try Power BI
The first step is to use Power BI, a tool integrated into Microsoft Fabric. It lets you create clear and easy-to-understand reports for both data experts and business users. Microsoft Fabric also allows you to customise your data analytics workflows to meet your organisation's specific needs. This makes it simple for everyone to access accurate insights and make informed decisions.
Step 2: Create a single source of data
It is important to create a unified data source that includes all relevant data to unlock the full potential of modern data analytics. Microsoft Fabric's OneLake service lets you build a data lake to store all your organisation's data. It prevents data duplication and unnecessary data relocation, while automatic indexing makes sharing, searching, and managing data straightforward. This ensures that users can quickly access the information they need when they need it.
Step 3: Harness the power of AI
AI can deliver its full benefits only when you have reliable, high-quality data. Once you have good data in place, you can start using Microsoft Fabric's built-in Copilot solution and custom machine learning models. This will help drive innovation within your organisation, improve operational efficiency, and support sustainable business growth.
By following these three steps, organisations can optimise data management and lay a strong foundation for modern analytics, leading to better, faster decision-making. Microsoft Fabric provides unique opportunities to unlock the potential of your data — and you do not have to navigate it alone.
How Baltic Amadeus can help you get started with Microsoft Fabric
Baltic Amadeus helps organisations of all sizes modernise their data analytics with Microsoft Fabric. With more than three decades of experience delivering technology solutions across industries, our certified Microsoft specialists are ready to assess your current data environment, advise on the right implementation approach, and support you every step of the way, from initial setup to advanced AI integration.
Whether you are just beginning your data analytics journey or looking to consolidate fragmented data infrastructure into a single, reliable platform, the Baltic Amadeus team has the expertise to guide you. Book your consultation today and take full advantage of what modern analytics has to offer.
