Weekly News Digest - 25th-29th Jan 2021

Joshua Poore our consultant managing the role
Posting date: 1/29/2021 10:10 AM
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.

Entrepreneur – How to Identity Proof in an Increasingly Virtualised World


The past year has shifted our life online at a rapid pace. This migration has meant that not only do our technologies need to be more effective and efficient than ever before, but our identity proofing needs to be more sophisticated and secure too. 

Even before the pandemic, identity proofing has never been an easy task. Customers expect security but without any hassle. Being bombarded by multiple authentication factors, for example, is not ideal and will quickly turn a customer off from using your service. 

In this article by Entrepreneur, four key factors are explored in detail which aim to assist companies in creating a secure but accessible identity proofing system. This includes evaluating the potential for fraud, learning from Government trends, focusing on being proactive and the need for constant innovation. 

Read the full article here

KD Nuggets - The top 5 reasons why machine learning projects fail


There is a clear increase in the number of machine learning projects being developed and perfected globally. Yet, at the same time, an equal number of projects are failing to take off the ground. 

This article from KD Nuggets highlights the five main reasons why start-ups implementing machine learning projects are failing, as well as offering solutions. The article hopes new businesses will take these points on board and plan their future projects better, hopefully avoiding too many, potentially lethal, pitfalls. 

The most common mistakes made are:• Insufficient data or not enough access to ‘clean’ data.

  • Machine Learning Models not being synchronized with legacy systems.
  • A lack of qualified Data Scientists
  • Difficulty with innovation and updating
  • Lack of leaders’ support

Read the full article here

The FinTech Times: 10 FinTech Predictions for 2021


In this article from The FinTech Times, we hear from 10 key experts in the field who give insight into what they think 2021 will hold in store for FinTech. Following a year like no other, the overall consensus is that this year will be unlike any other for the industry. 

For example:

Commercial banking will continue to digitise and experience a subscription revolution to change the way companies of all sizes approach their banking relationships - Matt Cox, EY Americas Corporate, Commercial and SME Banking Consulting Leader.

Online payments still have significant room to grow - Sudeepto Mukherjee, Managing Partner, Financial Services at Publicis Sapient.

More people will trust in Bitcoin - Eleesa Dadiani, Founder and CEO of the Dadiani Syndicate, a firm that brokers the sale of cryptocurrencies and commodities to high net-worth individuals.

Read the full article here

Silicon Republic – Branching out into tech? Here are 30 top skills to consider. 


As a direct result of the pandemic, the tech sector has boomed. This in turn has created a wealth of roles. This article from Silicon Republic suggests 30 key skills for anyone looking to enter the world of tech as their next career move. Roles covered include Digital Marketing, Social Media and Development. 

Top three required skills for Social Media Executives:

  • Facebook
  • Instagram
  • Twitter

Top three required skills for Digital Marketers:

  • Analytics
  • SEO
  • Google Analytics

Top three required skills for Developers:

  • Agile
  • Java
  • JavaScript

Read the full article here

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.

Using Data Visualisation To Bring Data & Analytics To Life

The majority of the human population are visual learners. Our brains are wired in such a way where we can register 36,000 visual messages per hour, and visuals are processed 60,000 times faster than text. In short, one of the best ways to truly assimilate and understand new-found knowledge is through clear and digestible imagery.  Because of this valuable insight, we are now witnessing the fast-growing trend of Data Visualisation. Over the next six years, the value of Data Visualisation tools is expected to reach $19.2 billion, over double what it was in 2019.  Data & Analytics is one key area where data visualisation is used continuously. The raw data collected on a daily basis by Data Analysts can be incredibly time-consuming to sift through, not forgetting near-impossible to form palatable findings from. However, through the use of data visualisation tools such as graphs, heat maps, charts and infographics, confusing, text-based data can be transformed and brought to life. So, how can Data Visualisation help your business? Greater understanding of your data As Lydia, our Senior Recruitment Consultant, stated in her most recent article – data insights have the capability of not only improving decision-making, but also allow you to spot key trends, errors and predict future challenges. Nevertheless, all of these brilliant capabilities of data insights can only occur when teams can garner an in-depth understanding of the data being presented to them.  Without a background in statistics, which very few members of any team would possess, the raw data simply wouldn’t mean anything, and key insights could be missed. Utilising data visualisations not only makes data more tangible, but it also allows every team member to understand the data, make decisions and implement changes more efficiently. Standing out from the competition The effectiveness of Data Visualisation is no secret, and time and time again it’s been proved that this way of presenting data is far more likely to produce results than simply reviewing text.  Research within Analytics Insight reported that businesses using data discovery tools are 28 per cent more likely to find timely information compared to their dashboard-using counterparts, and 48 per cent of business intelligence users at companies with visualisation tools are able to find the information they need without the help of a specialist team.  Nevertheless, despite the incredible benefits, only 26 per cent of businesses globally are using data visualisation tools.  While the reasons for this slow uptake are varied, it’s clear that those companies who are willing to invest in Data Visualisation are far more likely to stand a head above their competitors. It can improve customer experience 98 per cent of companies will use data to help drive a better customer experience, but it doesn’t always mean that this data is collected, managed or presented well.  Data is, and should be, used as a way to back up what brands are saying, especially if they’re shouting from the rooftops about how fantastic they are.  When a business or brand uses accurate Data Visualisation to tell this story – for example, the percentage of consumers who report high levels of customer satisfaction, or the amount of money donated to CSR projects – audiences will respond much better than if the claim appears to be empty words without any evidence.  Data Visualisation is undoubtedly one of the most effective ways to communicate data, both internally and externally. The comprehensible formats available enables information to be processed with ease, and for learnings and understandings to be absorbed and implemented with much more efficiency than text-based raw data. It’s clear that this trend is only going to grow in popularity as businesses begin to put more investment behind it in order to reap the benefits and watch the positive impact on their bottom lines prosper.  For examples of how Harnham uses Data Visualisation, head over to our recent research reports.  If you're looking to take the next step in your career or build out your Data & Analytics team, we can 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 - 11th-15th Jan 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 and analytics. KDNuggets: 20 core Data Science concepts for beginners The field of Data Science is one that continuously evolves. For Data Scientists, this means constantly learning and perfecting new skills, keeping up to date with crucial trends and filling knowledge gaps.  However, there are a core set of concepts that all Data Scientists will need to understand throughout their career, especially at the start. From Data Wrangling to Data Imputation, Reinforcement Learning to Evaluation Metrics, KDNuggets outlines 20 of the key basics needed.  A great article if you’re just starting out and want to grasp the essentials or, if you’re a bit further up the ladder and would appreciate a quick refresh.  Read more here.  FinExtra: 15 DevOps trends to watch in 2021 As a direct response to the COVID-19 pandemic, there is no doubt that DevOps has come on leaps and bounds in the past year alone. FinExtra hears from a wide range of specialists within the sector, all of whom give their opinion on what 2021 holds for DevOps.  A few examples include: Nirav Chotai, Senior DevOps Engineer at Rakuten: “DataOps will definitely boom in 2021, and COVID might play a role in it. Due to COVID and WFH situation, consumption of digital content is skyrocket high which demands a new level of automation for self-scaling and self-healing systems to meet the growth and demand.” DevOps Architect at JFrog: “The "Sec'' part of DevSecOps will become more and more an integral part of the Software Development Lifecycle. A real security "shift left" approach will be the new norm.” CTO at International Technology Ventures: “Chaos Engineering will become an increasingly more important (and common) consideration in the DevOps planning discussions in more organizations.” Read the full article here.  Towards Data Science: 3 Simple Questions to Hone Python Skills for Beginners in 2021 Python is one of the most frequently used data languages within Data Science but for a new starter in the industry, it can be incredibly daunting. Leihua Yea, a PHD researcher at the University of California in Machine Learning and Data Science knows all too well how stressful can be to learn. He says: “Once, I struggled to figure out an easy level question on Leetcode and made no progress for hours!” In this piece for Towards Data Science, Yea gives junior Data Scientists three top pieces of advice to help master the basics of Python and level-up their skills. Find out what that advice is here.  ITWire: Enhancing customer experiences through better data management From the start of last year, businesses around the globe were pushed into a remote and digital way of working. This shift undoubtedly accelerated the use of the use of digital and data to keep their services as efficient and effective as possible.  Derak Cowan of Cohesity, the Information Technology company, talks with ITWire about the importance of the continued use of digital transformation and data post-pandemic, even after restrictions are relaxed and we move away from this overtly virtual world.  He says: “Business transformation is more than just a short-term tactic of buying software. If you want your business to thrive in the post-COVID age, it will need to place digital transformation at the heart of its business strategy and identify and overcome the roadblocks.” Read more about long-term digital transformation for your business here.  We've loved seeing all the news from Data and 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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