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. […]
Category: Services
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 […]
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 […]
4 Pillars of data observability, and why are they important?
Data observability is the term given to a system of practices and processes, designed to fully understand the health and functionality of a company’s data as it is created, collected, processed, and generally flows through the business. […]
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Healthcare data analytics: 6 things you need to know, and how it can change lives
The ability to look back at what has been done, analyse the results, and improve going forward is a staple function for any business, but when it comes to the healthcare industry – it can literally save lives. […]
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Effective monitoring: Prometheus or Datadog – what is your go-to?
To effectively monitor your data, and ensure that your database, network, and systems are working as they should, you need to have the right tools for the job regardless of whether you are handling matters internally or utilising managed services from a trusted third-party. […]
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Databricks vs Snowflake: Whats right for you?
With more than 36,211 companies utilising data warehousing in 64 technologies, and covering industries across the globe, it is unsurprising that data-driven and tech-savvy companies are looking to find the best technology partners for their business needs and are making more and more use of the space and options made available. […]
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Comparing Grafana and Datadog: What’s the top choice for 2023?
Technology continues to evolve at a rapid pace, and companies are finding that if they do not get ahead of the need to update and upgrade, they are losing valuable data and opportunities, which their competitors are picking up instead. […]
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Are you ready to take the lead in driving digital transformation?
Digital transformation is the process of modernizing and digitating business processes with technology that can offer a plethora of benefits including reducing long-term costs, improving productivity and streamlining processes. Despite the benefits, research by McKinsey & Company has found that around 70% of digital transformation projects fail, largely down to employee resistance. If you are […]
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