Data analytics solutions
Our data analytics solutions enable your organisation to unlock value from a wealth of data and find clarity when you need it most.
Data analytics solutions are enabling organisations to transform at an accelerated pace by providing them with data-driven insights into how they’re performing, where they need to allocate extra resource, and what they need to action to improve.
Phoenix works with organisations to support them with taking their raw data and turning it into actionable insights. We can support you with the development of your data analytics platform’s foundations and design, as well as the build and support of the platform’s development, while ensuring that the solution is both licenced and built as efficiently as possible.
The role of data analytics
Data analytics is the process of examining large datasets to uncover hidden patterns, correlations, and other valuable insights. The primary objective of data analytics is to aid decision-making, optimise processes, and drive organisational growth. By leveraging various techniques and tools, organisations can extract actionable insights from their data, enabling them to make informed decisions and gain a competitive edge in the market.
The four types of data analytics
Data analytics can be broadly categorised into four main types, each serving a specific purpose in extracting insights from data:
Descriptive analytics:
answers the question of ‘What happened?’ and focuses on summarising historical data to provide insights into past performances and trends.
Diagnostic analytics:
digs deeper into your data to understand why certain events occurred and answers the question, ‘Why did this happen?’.
Predictive analytics:
looks to predict future outcomes based on historical data and answers the question, ‘What might happen in the future?’.
Prescriptive analytics:
takes predictive analysis to the next step and recommends courses of action to achieve desired outcomes. This’ll answer the question of ‘What should we do next?’.
Discover our data analytics solutions and partners
Microsoft Power BI empowers organisations to harness the full potential of their data by providing intuitive tools for data analysis, visualisation, and collaboration.
Assist your organisation in creating compelling and insightful dashboards and reporting through Power BI. Gain deeper insights into both internal operations and the broader communities you serve, facilitating quicker, more informed decision-making processes to drive success.
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Microsoft Azure facilitates both data storage and data analytics, giving you a complete solution for storing, processing, and analysing your data.
Azure’s data storage solutions provide reliable repositories for diverse data types for consolidating and managing vast datasets efficiently. Its data analytics solutions equip you with advanced querying and visualisation capabilities to effectively extract insights.
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Phoenix and Simpson Associates are partnered together with the combined goal of providing organisations with innovative, tailor-made data analytic solutions that support you with making informed decisions.
Their data and performance management solutions and deep understanding of the challenges typically faced with data analytics puts them in a special position to deliver the best solutions for your organisation.
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Benefits of data analytics in the workplace
Data analytics solutions enable organisations to deeply analyse the success and efficiency of how they operate and provide them with data-driven insights into how to optimise.
Here’s just some of the benefits data analytics provides:
Personalised user experiences:
gain a deeper understanding of your user’s behaviour, preferences, and needs to provide them with a tailored experience
Informed decision-making:
by analysing historical trends and current patterns, you will anticipate future outcomes more accurately, helping improve decision-making
Streamline your operations:
analyse the efficiency of each of your processes and identify areas for improvement and optimisation
Risk management and fraud detection:
help mitigate risks by identifying potential threats and anomalies within your organisation, both externally and internally
How is your industry using data analytics?
Each industry is discovering new ways to integrate data analytics into its operations to increase their productivity, discover new insights and observations, make well-informed predictions, and enhance user experiences.
The data that’s collected and compiled from patient records is giving healthcare professionals insights and predictions into their patient’s treatment plans and future health. This is enabling them to improve their patient care, in addition to saving valuable time.
Detailed insights are enabling retailers to personalise their customer experiences, improve supply chain management, optimise their inventory, and manage their prices.
Through utilising data analytics solutions, financial organisations are tracking and predicting outcomes within the financial market, as well as monitoring patterns and trends to identify money laundering and fraud mitigation.
Data analytics is being used across the board in the education sector, from finding out how to make courses and learning more interactive to optimising travel routes.
Data analytics solutions are being leveraged by manufacturing organisations to optimise production processes, improve product quality, and minimise downtime.
Combining data analytics and artificial intelligence
Artificial intelligence is implementing itself in various aspects of organisations, including within data analytics. Using data analytics and artificial intelligence together will speed up the generation of actionable insights by automating processes, from analysing the raw data initially, right through to providing actionable next steps.
AI-driven analytics can find data patterns and trends amongst large subsets of data at an accelerated rate, enabling you to implement data-driven decisions quicker. Adding AI into your data analytics solutions will also improve your team’s productivity by giving time back to them to focus on tasks that require human creativity.
Data analytics solutions FAQs
To gain a deeper insight into your audience’s behaviour, you should analyse diverse datasets such as demographic, transactional, and behavioural data. By utilising segmentation, predictive modelling, and sentiment analysis, you’ll unearth trends and feedback to enhance the understanding of your audience’s behaviour and improve your decision-making.
Due to the platform being hosted in the cloud, you’ll get all the usual benefits of the cloud i.e. simplified scalability, flexibility, and accessibility. It’ll also enable real-time collaboration and centralised your data management, analytics tools, and infrastructure.
Adopting an enterprise-wide data and analytics strategy aligns data initiatives with organisational goals, fostering data-driven decision-making at all levels.
Talk to our Data Specialists today
Arrange a free chat with one of our Data Specialists today to discuss how your organisation is currently utilising data analytics and how Phoenix is able to assist you in generating more detailed and accurate data insights.
You can also email us at [email protected] or call 01904 562200 – whatever works best for you.