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After another fantastic EARL Conference held online this September, we are delighted to share that we were able to donate £8,000 to DataKind UK.

The aim of the Enterprise Applications of the R Langauge Conference is to inform, educate and inspire, and we certainly feel inspired by the great work DataKind UK have done this year and plan for the next.

Suzy from the DataKind UK team kindly sent us the statement below to share with the community:

At DataKind UK, we are looking ahead to ensure that we continue to provide what the sector needs to make full use of responsible data science. This year, we have heard the ideas, requests, and feedback of charities, our volunteer community, our staff team, our partners, and others in the sector, and distilled these insights into a new five year strategy. This generous donation from The EARL Conference will support us in our work to engage nonprofit leaders with data, to help our social sector data communities to flourish and grow, and to provide that crucial data support to social sector organisations through our DataDive, DataCorps projects as well as our soon-to-be launched mentoring programme.

Thank you Suzy! We look forward to reading about DataKind’s work over the next year.

We’re excited to tell you that the EARL Conference will be back in-person from the 6-8th September 2022 at the Tower Hotel, London. The call for abstracts will open in January – stay up-to-date and sign up to the mailing list here.

 

 

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Data science has made huge gains for early adopters and progressive businesses in the last ten years. For organisations in this digital era, spotting new opportunities, improving processes and working with greater insight into the variables that affect business success is vital.

Mango Solutions’ research report Delivering Value Through Data Science, which was conducted by DataIQ, shows the potential revenue gains from data science and some driving factors to build organisational data maturity. The study surveyed data practitioners, ranging from heads of department to chief data officers and global directors.

Companies surveyed with ‘advanced’ data science capabilities reported incremental value equivalent to 18% of business revenues may be generated as a direct result of an advanced data science approach. Those with less mature data science capabilities were more abstemious in their projections but even organisations at the early stages of data maturity claimed a respectable 4.1 percent revenue increase.

So, whether you are still in the planning phase or practicing advanced data science, with data-driven processes embedded in decision-making, data science will boost revenue.

It’s encouraging that data science is picking up in momentum. While the more radical 5.2% of companies kicked off with data science over 10 years ago, the majority, under 40% of businesses surveyed, began developing their data science capabilities in the last 3-5 years, and almost 30% of businesses surveyed started in the last 6 months. Being somewhere on the data-science journey is a must to support wider digital transformation success.

Getting the C-suite to back the data science strategy and incorporate it into the company strategy can unlock serious potential. Among organisations surveyed at an ‘advanced’ level of data maturity, 17 out of 20 (83.3%) data science functions were created on the initiative of the board. Embedding data science in the company vision is key, as those ‘advanced’ level organisations are more than 50% more likely to recognise data science within the company vision (33.3% v 20.7% on average).

It’s key to establish clear metrics to measure success, in order to be able to prove a return on investment and potentially bid for additional funds to grow the function later on. The report shows that 66% of organisations surveyed with ‘advanced’ data maturity can define the relevant impact metrics for each data science initiative.

Continual championing of data science by company chief executives can help build data maturity. ‘Advanced’ level organisations are more than twice as likely than the average to communicate the impact of data science directly through the chief executive (50% v 24.1%).

Investing in data science should be a long-term strategy, aligned to company objectives.

Our research results show an increasing investment in data science, for a variety of motives linked to the bottom line, including building efficiencies, creating competitive advantage and improving decision-making processes. Through keeping data projects as part of a strategic, leadership-backed and data-driven infrastructure, organisations will leverage data science to boost their business revenue.

This research is being discussed by data leaders at DataIQ Transform https://www.dataiq.co.uk/dataiq-transform-2021 on 4th November.  A copy of the research can be obtained here  

 

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You may remember that we launched a competition last month to celebrate the EARL Conference taking place. The competition was to win a free online training course for a team on either ‘Introduction to R for Analytics’ or ‘Introduction to Python for Analytics’.

We were thrilled to receive lots of brilliant entries and it was difficult to pick a winner. But after much deliberation the chosen winner of the competition is…..

Kirsten McMillan from Dogs Trust! 

Congratulations to Kirsten and her team. The Dogs Trust mission is to bring about the day when all dogs can enjoy a happy life, free from the threat of unnecessary destruction. They are a British animal welfare charity and humane society which specialises in the well-being of dogs. They are the largest dog welfare charity in the United Kingdom, caring for over 15,000 animals each year.

When asked why Kirsten would like to win this training for her team she said:

‘They are all extremely hard working and have proved hugely focused and flexible during the pandemic. They are all dedicated to improving canine welfare, which has become a significant issue during lockdown, due to the increased purchasing of dogs.’

We also asked Kirsten as part of her competition entry what her teams analytical objects are:

‘Our projects are very varied – so our analytical objectives are constantly changing. However, one of our aims is to become the go-to place for all UK dog statistics. Consequently, we are currently focusing on automating the collection, cleaning, and analysis of big data, along with the production of powerful datviz to be made available both internally and externally.’ 

On the team win Kirsten said;

‘We are so pleased and excited to have won this amazing prize! We are very much looking forward to the ‘Introduction to R for Analytics’ training with Mango Solutions, which will undoubtedly help us to help our much-loved dog population!

We are excited to support Dogs Trust move forward with their analytical journey, and perhaps see them present at a future EARL Conference!

EARL is back in 2022 in-person – the conference will be hosted from the 6th to the 8th of September in London. Abstracts will open for talks in January 2022 – sign up here to receive all the latest news.