IN THE EVER EVOLVING WORLD OF DATA ANALYTICS, BUSINESSES ARE ACCELERATING GROWTH BY INVESTING IN A COMPREHENSIVE DATA STRATEGY THAT ALLOWS THEM TO EFFECTIVELY CAPTURE AND CENTRALISE DATA. IN ADDITION, THEY CAN CLEANSE, EXTRACT AND ANALYSE THE DATA TO GIVE BETTER INSIGHT AND ULTIMATELY ENABLE BETTER DECISION MAKING.
Whilst technology has to underpin the ability for companies to do this, it cannot accelerate a business alone. The need for statistical and quantitative expertise coupled with information technology and market knowledge will give those businesses who invest in the right resources the competitive edge in understanding their customers and their behavioural patterns better through data.
Advanced analytics is the use of sophisticated techniques and tools, typically beyond those of traditional Business Intelligence to discover deeper insights and make predictions. The use of data mining, machine learning, artificial intelligence and robotics are at varying levels of maturity across the market. Typically customer and digital focused businesses are paving the way.
An immature market creates challenges for both analytics professionals and companies hiring talent. The definition of roles can become blurred. For example, in the case of Data Science, what someone is exposed to and has the opportunity to create in one organisation can be very different to another who is more advanced in their data journey.
There is an increased frustration from the Data Science community about clients over-complicating their business problem where companies should actually focus on data cleanse and governance before they even consider Data Science as a solution.
I have witnessed varying degrees of client expectation in mathematical/algorithm/predictive modelling capability of a Data Scientist which often does not reflect in level of salary. This also applies to other areas such as Data Engineering, Big Data and Artificial Intelligence showing a lot of inconsistency across the market.
The opportunity is also significant for skilled professionals as we see businesses invest more heavily in their data strategy, building robust analytics teams and using contractors to flex up and down as project requirements fluctuate. This is also evident of a maturing market as businesses begin to worry less about losing IP and see more benefit in hiring specific expertise to ensure successful delivery and outcomes.
Project Resource Partners is in the unique position of engaging with clients across sectors in relation to resource planning around their data strategy as well as networking with skilled professionals who are seeking their next engagement.
As transformation resourcing specialists, our market coverage includes:
Data Analytics & BI – Data Analysis, Data Science, Data Engineering, Data Modelling, Analytics & Insights, Commercial/Performance Analytics, Web/Digital Analytics, Market Research, Big Data, Business Intelligence, RPA, Artificial Intelligence, Analytics Consulting & Strategy.
Change Management – Change, Communications, Organisational Design & Development, Training, Learning & Development and Instructional Design
Project Services – Business Analysis, Project and Program Management & Delivery, Portfolio Management, PMO strategy, start-up & management and Transformation, including Continuous Improvement (Green & Black Belts).
If you would like further insight or a confidential discussion, please feel free to contact me and I would be more than happy to assist in any way I can.
Project Resource Partners
Level 29, 360 Collins Street, Melbourne VIC 3000 Australia
T +61 3 9949 8100 D +61 3 9949 8102