Weekly News Digest - 1st-5th Feb 2021

Joe Gibbs our consultant managing the role
Author: Joe Gibbs
Posting date: 2/5/2021 3:20 PM
This is Harnham’s weekly news digest, the place to come for a quick breakdown of the week’s top news stories from the world of data and analytics. 

TechRepublic: Analysts predict Bezos' move to the board won't slow the pace of cloud innovation at Amazon


On Tuesday, we learnt that Amazon CEO, Jeff Bezos, is stepping down from his position to take on the role of Executive Chairman on the board. Taking his place in the top spot will be Andy Jassy, who is currently the head of Amazon Web Services. This migration of leadership brings about anticipated antitrust issues, according to Analysts.

However, this change in leadership isn’t thought to mark the start of a decline in innovation and growth of their cloud platforms as Bezos will be on hand to guide Amazon’s overall strategy. Jassy’s experience in the cloud arm of the business shouldn’t go unnoticed too.

Interestingly, Glenn O'Donnell, Vice President and Research Director at Forrester, said Jassy's time at AWS proved he has the executive chops to take the reins of the bigger Amazon machine. This is definitely something to keep an eye on!

Read the full article here.

Forbes: The Race To Outsmart The Competition: Adobe Unveils New AI Tools For Retailers


More people are shopping online than ever before, and consumers are demanding much more from their online experiences. As a direct result of the pandemic, the e-commerce sector has skyrocketed and Adobe Analytics data showed that on Christmas Day 2020, the mobile share of revenue exceeded desktop for the first time, at 52 per cent.

With such high demand and interest from customers, the tech giant has announced new tools designed to use artificial intelligence and data to alert retailers when something goes wrong in the digital experience, and to offer personalised experiences and promotions to the right customers.

Personalisation is becoming increasingly important to consumers as they shop across different channels. Adobe bringing new and emerging technology to the retail industry positions them well for continued growth.

Read more on this here.

KDnuggets: Build Your First Data Science Application


We think this is a great article from KDnuggets that provides a clear and concise overview as to how you can make your first data science application a success. There are seven Python libraries that you should learn to make your first application:

  • Pandas
  • Numpy
  • SciKitLearn
  • Keras or PyTorch
  • Requests
  • Plotly
  • Ipywidgets
  • Jupyter Notebook and Voila


Even if you have a good understanding of these, it’s important to keep your skills and knowledge up to date, to ensure that you stay valuable in an increasingly competitive market. Keep learning, and you will be sure to stand out.

Read more on this here

Campaign: The winning formula for analytics in 2021


Do you know the winning formula for analytics in 2021? Well, look no further, as Campaign spoke to Alexander Igelsböck, CEO & co-Founder of Adverity and Forbes Technology Council member, on how augmented analytics has changed the media and entertainment industry.

Igelsböck defines how media businesses that have successfully adapted to future-proof themselves through data analytics and innovation are embracing three key marketing analytics trends including:

  • The new focus for data-driven marketing
  • Maximum results with minimal resources
  • Transforming challenges into opportunities

Businesses across a range of industry verticals will need to improve performance and decision-making to make it faster and easier. Making use of complex datasets and simplifying them into actionable insights and tasks is the key to success in the year ahead.

Click here to read more on the challenges and opportunities for analytics in 2021.

We've loved seeing all the news from Data & Analytics in the past week, it’s a market full of exciting and dynamic opportunities. To learn more about our work in this space, get in touch with us at info@harnham.com.


Related blog & news

With over 10 years experience working solely in the Data & Analytics sector our consultants are able to offer detailed insights into the industry.

Visit our Blogs & News portal or check out the related posts below.

How Are Data & Analytics Professionals Mapping COVID Trends With Data?

The coronavirus pandemic has impacted industries across the globe. There’s no ignoring that simple fact. This disruption (most notably) caused devastating effects in two strands: to our health and to business operations. As the virus spread, the health and wellbeing of people in society worsened, and businesses felt the strain of projects being placed on hold, and work slowing or completely grinding to a halt. As of the 24th February 2021, the disease has infected more than 112,237,188 people, with 2,487,349 reported deaths. For Data & Analytics professionals, it soon became evident that they could use their skills to help. Using the mass of data available, professionals and researchers turned to big data analytics tools to track and monitor the virus’s spread, along with a variety of trends. Here’s how: Genomics and sequencing Life science is a significant application within Data & Analytics and explores the study of all living things on earth. One particular section of this study looks at the concept of genomic sequencing.  Genomic sequencing is significant as it allows us looks at the entire genetic code of a virus – in this case, COVID-19. Most importantly, the technique means that researchers and analysts can identify dangerous mutations and track movements of specific variants. We know that the UK has the most advanced system for tracing covid variants too. Last year, Britain launched one of the world’s largest coronavirus sequencing projects, by investing £20 million in the Covid-19 Genomics UK consortium. In a group that included NHS researchers, public health agencies, academic partners and the Wellcome Sanger Institute, they set out to map the genetic code of as many strains of the coronavirus as possible. And the buy-in paid off. It took the US approximately 72 days to process and share each genetic sequence, compared with 23 days for UK researchers, according to figures compiled by the Broad Institute with data from Gisaid. Tech giants stepping in Ultimately, your organisation is more agile than you think it is. Regardless of the size of the business, or the industry in which it operates, the sector’s response in applying analysis and data to track the coronavirus was nothing short of miraculous. Google introduced a series of features such as popular times and live busyness, COVID-19 alerts in transit, and COVID checkpoints in driving navigation in order to keep their one billion (and growing) app users safe. They also introduced the COVID layer in Maps, a tool that shows critical information about COVID-19 cases in a given area, allowing their customers  to make informed decisions about where to go and what to do. Apple also released a mobility data trends tool from Apple Maps. This data was shared in order to provide insights to local governments and health authorities so that they could support mapping specific covid trends. These first-hand examples indicate the influence and power of using data to better our understanding of the virus. Before the coronavirus pandemic, professionals, businesses and industries alike worked in siloes. What we have witnessed since has been very much the opposite, as experts quickly came together to begin mapping out data requirements and supporting the world’s focus to improve the public’s health and get businesses back on their feet. Without Data & Analytics, none of this would be possible. If you're looking to take the next step in your career or build out a diverse Data & Analytics team, we may be able to help. Take a look at our latest opportunities or get in touch with one of our expert consultants to find out more. 

Weekly News Digest: 15th - 19th Feb 2021

This is Harnham’s weekly news digest, the place to come for a quick breakdown of the week’s top news stories from the world of Data & Analytics.  KDnuggets: 10 resources for data science self-study If you are interested in getting into data science, there are two basic pathways that you can opt for. There’s the traditional college degree route or the self-study option, the latter of which is growing in popularity among aspiring data scientists. This informative article from KDnuggets provides some insightful tips for data science self-study, grouped into three main categories: Resources for building fundamental knowledge; resources for data science practice; and resources for networking and continuous studies. Resources for building fundamental knowledge:Massive Open Online Courses (MOOCs)Learning from a TextbookYouTubeKhan AcademyResources for Data Science practice:KaggleInternshipsResources for networking and continuous studies:MediumLinkedInKDnuggetsGitHub Find out more here. Analytics India Magazine: How machine learning streamlines risk management Abhaya K Srivastava, SVP at Northern Trust Corporation, recently spoke at the Machine Learning Developers Summit 2021. Srivastava delved into how different sectors including financial, healthcare and retail are making use of emerging technologies like AI and Machine Learning. One of the main takeaways from the speaker session was discussions around how Machine Learning can support how organisations streamline their Risk Management. Srivastava stated, “It is essential for us to establish the rigorous governance processes and policies that can quickly identify when the model begins to fail.” He continued, “The terms of AI are not new, but businesses and organisations have started using these technologies in a different way. We have noticed the influence of machine learning in business applications, ML is playing an important role in Risk Management and there has been a constant focus on how risks are being detected, reported, managed.” There are a range of different machine learning techniques that can be applied to support risk management. It is the role of organisations, and their partners to discover how these processes can be applied. Read more on this here. Information Week: 3 Ways to Empower Female Software Engineers on Your Team We think this is a great article from Information Week that acknowledges the importance of establishing greater diversity and inclusion within software engineering, in particular to empower women in the industry. The article focuses on three areas: Create an inclusive team:Building an inclusive team is a strategic process and should include making sure everyone has a voice and that the workplace is a safe place to take risks.Provide a support system:Support establishes trust and shows a commitment to the well-being of your people. When leaders support their employees, it can significantly affect job satisfaction and performance.Enable women to inspire othersThe first thing to do is make sure the women in your organisation have a seat at the table; they should have a say in the decision-making process. Even if you have a good understanding of these, it’s important to keep educating yourself and the wider team in order to implements processes and strategies that make for a truly inclusive team. Read more on this here.  TechRepublic: 8 must-read leadership books recommended by tech titans and innovators Are you looking for your next read to help you elevate your visibility and skill as a leader in the tech industry? Look no further, as TechRepublic have put together a list of leadership books recommended by notable leaders from within the industry. Here are a few: The Ride of a Lifetime (Robert Iger) - Recommended by Bill GatesDrop the Ball (Tiffany Dufu) - Recommended by Sheryl SandbergMindset (Dr Carol S. Dweck) - Recommended by Satya NadellsTrailblazer (Marc Benioff) - Recommended by Susan Wojcicki It’s valuable to have insight from leaders that are already leading the way for tech innovation in their field, inspiring and supporting future leaders to achieve great things too. Click here to read the full list of recommended leadership books from Bill Gates, Satya Nadella, Sheryl Sandberg, Tim Cook, and other notable industry leaders. We've loved seeing all the news from Data & Analytics in the past week, it’s a market full of exciting and dynamic opportunities. To learn more about our work in this space, get in touch with us at info@harnham.com.

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