Making data science efficient

Trust your data availability with expert operational monitoring and support

31 August 2022 | Noor Khan

Keeping data consistent with operational monitoring and support

Key Challenges

Our client required high data availability with no delays therefore, they needed to ensure that their data pipeline consisting of various sources were continuously and consistently running without errors.

Key Details

Service

Data Engineering

Technology

Slack, Pager Duty, Cloud Watch

Industry

Market Research

Sector

Entertainment, Broadcasting

Key results

  • Around-the-clock support
  • Clear, defined communication channels
  • Organised error alerting system
  • Avoid data lags and data dropouts
  • Complete peace of mind

Longstanding market research client

We have worked with our client in market research for a number of years on a wide variety of software and data engineering projects. The company is a well-established, global market research brand, well known for its big data science and research analytics, driving powerful, game-changing insights for their businesses. They have world-leading brands as clients, including the likes of Instagram, Hulu and Universal.

From building a data pipeline to mitigating chances of data dropout

We built our client a robust, secure and scalable data pipeline collating, processing, cleansing and enriching data from three disparate sources. These pipelines, dealing with a large volume of data on a daily basis required consistent monitoring as our client wanted to ensure that the data was consistent and there were no data dropouts or delays. As we have worked together on several projects, Ardent was the operational monitoring and support service provider of choice. Read the full story on robust, scalable data pipelines with AWS infrastructure.

data availability with expert operational monitoring and support

Consistent, around-the-clock data monitoring

Our teams monitor the data pipeline to ensure that there is always consistency in data without any issues that could affect the data delivery. With a clear, organised error alerting system, any errors are dealt with quickly and efficiently. Should an error arise, there are set communication channels where the different levels or errors are communicated with various parties. If a failure does occur, the data is re-processed to ensure that there is no loss.

data availability with expert operational monitoring and support

Peace of mind with reliable service

We ensure that our clients can rely on us to fulfil their business needs and help them face their business challenges. For this client, they can rest assured with peace of mind knowing that their data is being monitored 24/7 to ensure that their data is delivered as it should. This enables them to confidently offer data to their end clients and an ability to expand their services.

data availability with expert operational monitoring and support

Learn more about Ardent being ISO 27001 certified.

Ardent 24/7, 365 day expert operational monitoring and support services

Have peace of mind knowing that we proactively monitor and improve the performance of your data infrastructure. Get in touch to find out more or to get started on improving your data performance.


More Success Stories

Ensuring timely data availability for real time mission critical data

Success Story

Monetizing broadcasting data

Media | Media

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 More... from Making data science efficient

Fine art storage & preservation software

Success Story

Making logistics simple

Logistics | Logistics, Software

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 [...]

Read More... from Making data science efficient

warehouse management automation user-friendly app

Success Story

Three decades of experience in delivering software excellence

Technology | Logistics, Software

Well-established logistics software provider Our client is a software products company providing software to the logistics industry and their main product was administration solution software for removal companies. With almost three decades of experience, our clients are leaders in the removals sector. Since the start, they have gone from strength to strength in becoming a [...]

Read More... from Making data science efficient

Ardent Insights

Are you ready to take the lead in driving digital transformation?

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 [...]

Read More... from Making data science efficient

Stateful vs Stateless

Stateful VS Stateless – What’s right for your application?

Protocols and guidelines are at the heart of data engineering and application development, and the data which is sent using network protocols is broadly divided into stateful vs stateless structures – these rules govern how the data has been formatted, how it sent, and how it is received by other devices (such as endpoints, routers, [...]

Read More... from Making data science efficient

Getting data observability done right - Is Monte Carlo the tool for you (1)

Getting data observability done right – Is Monte Carlo the tool for you?

Data observability is all about the ability to understand, diagnose, and manage the health of your data across multiple tools and throughout the entire lifecycle of the data. Ensuring that you have the right operational monitoring and support to provide 24/7 peace of mind is critical to building and growing your company. [...]

Read More... from Making data science efficient