Insights at Ardent

Ardent Insights

Through the Ardent lens

We share our opinions, learnings and give you an insider's view of the Ardent culture. Gain valuable insights and learn about the new trends in data, software and technology that can empower your organisation to grow.

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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Why do Data Scientists rely on Ardent’s Data Engineering expertise for Data Preparation?

The different roles of a Data Scientist and Data Engineer Of all data users, Data Scientists are considerable consumers and play a crucial role in extracting valuable insights from complex datasets. They possess advanced analytical skills and are adept at developing sophisticated models and AI/ML algorithms. So why do they rely on Ardent to manage […]

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