As the process through which data is sourced, transformed and made uniform, data quality engineering enables an organisation to unite data from various sources in one central, secure space. Data engineering makes data usable for wider business processes, ensuring that business data is accurate, reliable and accessible to all stakeholders.
Building on the processes of quality data engineering services, business intelligence (BI) makes this data readily available for all stakeholders to take action on the next steps and insights identified. Business intelligence tells the stories behind the data and highlights business opportunities and risks, enabling organisations to make more data-driven decisions.
How do data quality engineering and business intelligence interact?
Often, organisations seek BI services to help them solve a business problem. Therefore, the primary focus of business intelligence is to understand the business’s process and the current industry landscape. To achieve this, data engineering is required to identify what data the organisation is capturing and any gaps in their data knowledge.
Business intelligence needs to be backed by reliable data engineering services for several reasons. Primarily, because having reliable data to hand gives organisations a “self-service” capability to answer any questions they might have about their business. It also provides reassurance that their activities and results will be reflected in this data.
BI solutions then feed back into data quality engineering by constructing properly-defined semantic layers that accommodate effective data management. Data teams can optimise their performance using the feedback that the business intelligence elements of a project provide. BI insights allow them to understand how their tools are consuming data, what the optimum way to model data is and how these two factors can be used to optimise performance.
What are the applications and benefits of data engineering and business intelligence?
Without BI solutions, you may experience grey areas in your understanding of your business. From a day-to-day perspective, a solution as simple as real-time BI dashboards allow an organisation to view their data without delay. For example, a call centre may use a real-time dashboard to see how many calls are logged in a queue, or which team member is answering the most calls to better understand team performance.
From a strategic perspective, BI insights provide organisations with an understanding of the aspects of their data which can often lose visibility in high-level numbers. This means they can better understand the rise or fall of their sales, for example, by comparing how many types of products are sold month-on-month. This, in turn, can inform sales forecasts and business plans for the future.
For any organisation that processes data and uses it to understand business performance, BI and data engineering services make their data more usable. By connecting departments, BI provides a wider view of the effect of their combined outputs on the business. Seizing the opportunities that business intelligence offers means that your organisation no longer needs to rely on analytic teams to provide you with insights. Instead, you can use BI tools to answer your questions and stay agile, adapting to any business developments and identifying correlations between variables.
What is the future of business intelligence?
Increasingly, organisations across a variety of industries and sectors are realising the value of combining data engineering services with business intelligence solutions. Combined data engineering and BI capabilities strengthen an organisation’s data governance and security. They provide an overview of all stakeholders who will see the data and reports, how they are being stored and how to disseminate them securely.
There is also a growing artificial intelligence (AI) and machine learning (ML) functionality within BI tools. This functionality means that organisations can interrogate their entire data estate and find answers to questions they might not even have thought of.
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