Data Management
Does your company deal with big data and needs to manage it in a secure, structured way using up to date practices? Ardent can help you create and maintain your database ensuring that you are at ease knowing your data is managed efficiently and safely.
Data Management Services
Data can be incredibly beneficial for organisations, however, large amounts of data can be overwhelming and unhelpful if not managed appropriately. Ardent can help you avoid typical big data set issues such as poor application performance, slow speeds, and security issues due to the volume and velocity of data coming in through the servers.
The best in data technologies
Our database management services are ideal for businesses that have recurring application and performance issues, have high management service costs, are struggling to employ skilled engineers to manage databases, and would benefit from around-the-clock support. Our engineers can provide database management services using world-leading data technologies such as AWS, Azure, MS SQL, Elastic search and many more.
Solving your data management challenges
We have worked with large multinational firms to small independent companies who all have a requirement to manage and access their data to operate efficiently. Ardent can solve your database management issues by providing tailored services with skilled engineers to create, maintain and support any company database. We’ve provided exceptional services for more than a decade, so get in touch today.
If you are facing recurring database issues, then get in touch to find out how Ardent can help.
Key Benefits
End-to-end data solutions
Save time and resources with our experienced engineers
Avoid typical big data set issues
Explore our success stories
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Automating data collection with OCR technology
Accelerating market research by automating data collection with OCR technology. […]Read More… from Automating data collection with OCR technology
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Monetizing broadcasting data
A market leader, internationally renowned media and broadcasting company Founded in 2002, our client has been around for over two decades and is an internationally known company dealing with broadcasting data for commercial use. With a mission of making high-quality technology and content affordable for everyone, they have established themselves as a market leader. […]Read…
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Making logistics simple
Leader logistics software provider Our client is a leading logistics software provider in the UK. With over 3 decades of experience in the industry, they continuously look to innovate with technology. Their range of software products includes a warehouse management system and removal management software. They aim to remove the complexity of software and bring…
Technical Expertise
Ensure your data is structured, secure and accessible with Ardent’s data warehousing service provided using world-leading technologies.
More on our technology partners.
Technical Expertise
Ardent Insights
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Overcoming Data Administration Challenges, and Strategies for Effective Data Management
Businesses face significant challenges to continuously manage and optimise their databases, extract valuable information from them, and then to share and report the insights gained from ongoing analysis of the data. As data continues to grow exponentially, they must address key issues to unlock the full potential of their data asset across the whole business.…
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Are you considering AI adoption? We summarise our learnings, do’s and don’ts from our engagements with leading clients.
How Ardent can help you prepare your data for AI success Data is at the core of any business striving to adopt AI. It has become the lifeblood of enterprises, powering insights and innovations that drive better decision making and competitive advantages. As the amount of data generated proliferates across many sectors, the allure of…
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Why the Market Research sector is taking note of Databricks Data Lakehouse.
Overcoming Market Research Challenges For Market Research agencies, Organisations and Brands exploring insights across markets and customers, the traditional research model of bidding for a blend of large-scale qualitative and quantitative data collection processes is losing appeal to a more value-driven, granular, real-time targeted approach to understanding consumer behaviour, more regular insights engagement and more…
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