Innovation and automation often go hand in hand, giving organisations the ability to do more with less – and data is no exception.
With the vastly increasing volumes of data at our fingertips, any scalable data platform needs to look to accommodate automation where possible to help reduce the time spent doing more manually intensive tasks and enable your teams to focus their time and effort where it delivers the most value deriving insights.
The power of data automation
Data automation empowers organisations by streamlining repetitive tasks, reducing human error, and accelerating data processing workflows. By automating data collection, cleansing, integration, analysis, and reporting, organisations will unlock valuable insights faster and make data-driven decisions with confidence. Whether it’s extracting insights from massive datasets, automating routine reporting tasks, or enabling real-time analytics, data automation unleashes the full potential of your data resources.
AI-powered data automation
The growth of artificial intelligence in the workplace holds exciting possibilities and the potential it has for assisting with data and analytics is massive. By incorporating traditional analytics with AI, machine learning, and natural language processing, you’ll generate insights quicker and automate many time-consuming and mundane tasks.
Applying capabilities such as natural language querying will enable users to generate insights by simply asking questions to the software, rather than writing code. This enables more of your team to generate insights rather than relying on a specific team.
Your data automation partner
Phoenix is a Microsoft 2021 UK Partner of the Year and holds 11 specialisations, including Modern Work, Data and AI, Digital and App Innovation, and Business Applications.
We work with our customers to plan, design, build, and support with their data automation projects. Our team of Data Specialists have years of experience helping our customers to automate their data and speed up the rate in which they develop actionable insights.
Data automation FAQs
Data-driven automation involves using insights taken from data analysis to automate processes and decision-making. This approach ensures that automation initiatives are guided by true evidence, leading to more effective and impactful outcomes.
Data integrity automation involves implementing processes and tools to maintain the accuracy, consistency, and reliability of data throughout its lifecycle.
Data automation is an important component to help reduce manual effort, minimise errors, and accelerate processes. It’ll free up valuable time for your teams to focus on more complex tasks and objectives that require human input.