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&Element

AI Dashboards

Unlock the power of Artificial Intelligence with &Element's AI Dashboard development service. Enhance your operational efficiency and strategic foresight by using our analytics platform, which integrates seamlessly with your business systems.

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We’ve helped hundreds of businesses digitally optimise their company and increase profits.

Our core services

UX DesignWeb DevelopmentApp DevelopmentDigital MarketingArtificial Intelligence

230% average increase in ROI across our suite of services.


235+ projects completed since we were founded in 2015.


45m people reached across the world through work.

What are AI dashboards?

AI dashboards are tools used to visually display and analyse data generated from artificial intelligence models to facilitate decision-making and generate insight. These dashboards are designed to present complex statistical information and data analytics in an intuitive and easy-to-understand format.

AI dashboards typically integrate real-time data from various sources, enabling users to see updated information without delays. They utilise machine learning models to predict outcomes based on historical data. Beyond displaying data, AI dashboards allow users to interact with the information presented in an easy way.

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How can an AI dashboard benefit business?

An AI dashboard provides executives and managers with real-time insights into business operations. The AI can analyse customer data and behaviour to offer deep insights into customer preferences and trends. By automating the data collection and analysis processes, AI dashboards free up employees' time and give them time to focus on more strategic tasks rather than routine data analysis.

With easy-to-interpret data visualisation, quick sorting through online articles, and large data sources, an AI dashboard can let you and your employees make better and quicker decisions.

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What industries can benefit from AI dashboard integration?

Healthcare can use AI dashboards to monitor real-time patient data, predict health trends, and improve personalised treatment plans. In the financial sector, these dashboards are used for risk assessment, customer segmentation, and fraud detection.

Retail businesses benefit by optimising supply chains, managing inventory, and personalising customer engagement through predictive analytics. Almost all industries can benefit from incorporating AI dashboards into their operation processes. 

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There is so much opportunity to increase your business sales, start your journey today.

Contact us

5x

Organisations that use analytics and AI dashboards are 5 times more likely to make faster decisions than non-data driven companies

Enhanced Decision Making

45%

Up to 45% higher productivity rates compared to those that do not use AI technologies

Productivity Gains

80%

AI applications can reduce data processing time by up to 80%

Operation Efficiency

37%

Implementing AI dashboards can decrease human errors in data analysis by up to 37%

Reduced Errors

15%

With the use of AI dashboards, companies report a 10-15% increase in customer retention rates

Customer Retention

72%

of business leaders consider AI to be a “business advantage” and view AI dashboards as critical tools for maintaining competitiveness

Competitive Advantage

How do we start?


01

Planning

The process begins with thorough consultations to understand the client's specific needs, objectives, and the data ecosystems involved. This stage is crucial for gathering essential information that will guide the entire project.


02

Data Integration

&Element's team collects and aggregates data from various sources that the dashboard will visualise. This may involve pulling data from internal databases, cloud storage, or even real-time data streams.


03

Development

Based on the requirements and cleaned data, a prototype of the AI dashboard is developed. This prototype includes initial layouts, design schemes, and basic functionalities.


04

Custom AI

If the dashboard requires predictive analytics or decision support capabilities, &Element develops custom AI models using machine learning algorithms. These models are trained on the processed data to generate insights and predictions.


05

Deployment

After successful testing, the dashboard is deployed to the client's environment. &Element ensures that the deployment is smooth and that the dashboard integrates seamlessly with other business systems.


Want to get a tailored process to your specific needs? Contact us now

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AI Development FAQs


An AI dashboard is an interactive tool that visually displays data analytics, metrics, and key performance indicators (KPIs). It uses artificial intelligence technologies to help users make informed decisions based on real-time data.

01


AI dashboards help make complex data understandable at a glance, offering insights through data visualisation. This assists in decision-making, predicting market trends, monitoring performance in real-time, and enhancing operational efficiency.

02


AI dashboards can integrate various types of data, including financial statistics, customer behaviour data, operational metrics, and more, from multiple data sources like databases, live feeds, and historical records.

03


Unlike traditional dashboards, AI dashboards can predict trends and offer actionable insights using machine learning algorithms. They process large volumes of data to identify patterns and predict future outcomes, helping businesses anticipate changes rather than react to them.

04


AI dashboards are versatile and can be particularly beneficial for industries like finance, healthcare, retail, manufacturing, and logistics, where large amounts of data are generated and quick decision-making is crucial.

05


Security in AI dashboards is paramount; hence, data is encrypted in transit and at rest. Additionally, we implement role-based access control (RBAC), regularly update our systems to deal with vulnerabilities, and comply with international standards such as GDPR.

06


Typical technologies include AI frameworks like TensorFlow or PyTorch for building machine learning models and visualisation libraries such as D3.js or Plotly for creating interactive charts and graphics. Backend technologies may include Python, Scala, or Node.js.

07


Absolutely, AI dashboards are highly customisable. You can choose what KPIs to track, set up personalised alerts, and decide on the visualisation styles that best fit your needs.

08


The development process includes defining objectives, data integration, AI modelling, dashboard design and implementation, followed by testing and deployment. Post-launch, we provide ongoing support and maintenance to ensure the dashboard remains functional and up-to-date.

09


The development time can vary depending on the complexity of the dashboard and the volume and variety of data sources. Typically, a basic AI dashboard can be developed in 4-6 weeks, but more complex projects might take several months.

10


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