Hiring the Right Skills is Vital to Digital Transformation Success

Almost every company, in every industry, is aiming to digitally transform. The business impacts of doing so are dominating boardroom conversations, with organisations looking to take the initiative ahead of their competitors.

According to an SAP report, 96% of business leaders say digital transformation is a core business goal. Therefore, it shouldn’t be surprising that company spend on digital transformation is expected to reach $1.7 trillion by the end of 2019 (International Data Corporation), a 42% increase from 2017.

As Ross Mason, Founder and Vice President of Product Strategy at Mulesoft comments – “When it comes to digital transformation, it is no longer a case of ‘if’ but ‘when’ for organisations”.

So, why is digital transformation such a necessity? Simply put, organisations need to evolve to address the changing business landscapes. This is being facilitated by innovations in mobile, social platforms, data science and cloud computing. Digital is changing the way we do everything from communicating and working to traveling and cooking. Those businesses who don’t keep up will surely be left behind.

For those businesses jumping on board the digital transformation wagon, the effects seem to be evident. According to the same SAP report mentioned above, around 70% of business leaders said they’ve seen significant improvement in customer satisfaction due to their efforts in digital transformation. Saying this, it’s not all good news – only 3% of business leaders in the same SAP report had actually completed their transformation projects.

A recent study by Mulesoft, which looked at how 650 internet technology decision makers are handling digital transformation effects, and their impact on IT operations and management, revealed that four out of five businesses are expected to see a negative impact on revenue in the next 12 months if they fail to complete their digital transformation initiatives. The reasons for these negative impacts included challenges in business and IT misalignment (45%), time constraints (43%) and legacy infrastructure and systems (39%).

Most worrying was the fact that two-thirds of ITDMs admitted that they were unable to deliver all digital projects asked of them last year as a result of an IT delivery gap. This is unsurprising considering that, whilst 71% of ITDMs said their IT budget will either increase by less than 10%, or will stay the same in the coming year. They also reported a 27% rise in transformation projects since last year. Clearly, businesses are being asked to do more with less – but this isn’t how digital transformation succeeds?

With IT departments being stretched increasingly thin, and the drive for digital technologies increasing, there is an evident mismatch between what businesses need to deliver, and what they have the capabilities to deliver. 

The Mulesoft study reported that, on average, organisations are using 1,020 individual applications across their business, whilst around only 29% of these are currently integrated or connected, and without the technical talent to orchestrate these integrations, this percentage will never increase. As long as this is the case, businesses will continue to struggle to adapt.

As Ross Mason put it – “It’s clear they [CIOs and IT decision makers] are struggling to keep up. Integration challenges are creating an IT delivery gap, and organisations can no longer afford to let it drain time, resources and budget”.

In order to drive digital transformation processes forward, businesses need to focus on hiring the skills that will bridge IT and integration delivery gaps. Firms who fail to do so, will likely be unsuccessful in their digital transformation quest, potentially resulting in a negative impact on revenue.

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Software Developers
Senior Engineers
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Director of Engineering
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Software Developers
Senior Engineers
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Software Tech Leads
Senior Software Tech Leads
Software Tech Lead Managers
Senior Software Tech Lead Managers
Director of Engineering
VP of Engineering

 

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No1 software engineers

Full-stack Developers
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Front-end Developers
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No1 software engineers

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React.js
Node.js
AWS
JavaScript
React
Native
PostgreSQL
Ruby on Rails
Java
Angular
Golang
PHP

React.js
Node.js
AWS
JavaScript
React
Native
PostgreSQL
Ruby on Rails
Java
Angular
Golang
PHP

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Data Scientists
Data Engineers
Data Architects
Data Modelers
BI Developers
Data Analysts
Data Quality Engineers
Data Governance Experts MLOps Engineers
DataOps Engineers
Data Product Managers
Executive Data Leadership

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Cloud DW: Snowflake, BigQuery, Redshift ETL/ELT Tools: Airflow, dbt, Fivetran, Talend Big Data Frameworks: Spark, Hadoop, Kafka BI & Visualization: Tableau, Power BI, Looker ML Libraries: TensorFlow, PyTorch, Scikit MLOps Platforms: MLflow, Kubeflow, W&B Data Governance: Collibra, Alation Data Observability: Monte Carlo, Databand Data Lakes: Lake Formation, Delta Lake SQL/NoSQL DBs: PostgreSQL, MongoDB Real-time Analytics DBs: Apache Pinot, Druid Gen

Cloud DW: Snowflake, BigQuery, Redshift ETL/ELT Tools: Airflow, dbt, Fivetran, Talend Big Data Frameworks: Spark, Hadoop, Kafka BI & Visualization: Tableau, Power BI, Looker ML Libraries: TensorFlow, PyTorch, Scikit MLOps Platforms: MLflow, Kubeflow, W&B Data Governance: Collibra, Alation Data Observability: Monte Carlo, Databand Data Lakes: Lake Formation, Delta Lake SQL/NoSQL DBs: PostgreSQL, MongoDB Real-time Analytics DBs: Apache Pinot, Druid Gen

Sample of Skills Delivered

Programming in Python, R, and SQL
Python
Data Modeling Statistical
Analysis ETL/ELT
Pipeline Development
Database Design & Administration
Machine Learning Fundamentals
Cloud Data Warehousing
Data Ethics & Compliance
Data Security
Data Visualization & Storytelling
Real-Time Data Streaming

Programming in Python, R, and SQL
Python
Data Modeling Statistical
Analysis ETL/ELT
Pipeline Development
Database Design & Administration
Machine Learning Fundamentals
Cloud Data Warehousing
Data Ethics & Compliance
Data Security
Data Visualization & Storytelling
Real-Time Data Streaming

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AI Software Engineers
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Prompt Engineers
AI Research Scientists
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AI Software Engineers
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Computer Vision Engineers
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AI Ethics Office
AI Architects Executive

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LLMs: Open AI, Anthropic, Llama, Gemini ML Platforms: SageMaker, Vertex AI, Azure ML ML Libraries: scikit-learn, XGBoost, LightGBM DL Frameworks: TensorFlow, PyTorch, Keras LLM Frameworks: LangChain, LlamaIndex Vector Databases: Pinecone, Weaviate, Milvus Data Science Notebooks: Jupyter, Colab, Kaggle Data Visualization Libraries: Matplotlib, Seaborn NLP Libraries: Hugging Face Transformers CV Libraries: OpenCV, Pillow, Albumentations MLOps Tools: MLflow, Kubeflow, W&B

LLMs: Open AI, Anthropic, Llama, Gemini ML Platforms: SageMaker, Vertex AI, Azure ML ML Libraries: scikit-learn, XGBoost, LightGBM DL Frameworks: TensorFlow, PyTorch, Keras LLM Frameworks: LangChain, LlamaIndex Vector Databases: Pinecone, Weaviate, Milvus Data Science Notebooks: Jupyter, Colab, Kaggle Data Visualization Libraries: Matplotlib, Seaborn NLP Libraries: Hugging Face Transformers CV Libraries: OpenCV, Pillow, Albumentations MLOps Tools: MLflow, Kubeflow, W&B

Sample of Skills Delivered

Generative AI Development
Machine Learning Algorithms
Deep Learning Architectures
NLP and NLG
Computer Vision
Data & Feature Engineering
MLOps & Model Deployment
Statistical Analysis & Hypothesis Testing
Python and R Programming Expertise
Model Evaluation & Performance Tuning
AI Governance & Compliance
Autonomous AI Agent Engineering
Building Agentic AI Applications

Generative AI Development
Machine Learning Algorithms
Deep Learning Architectures
NLP and NLG
Computer Vision
Data & Feature Engineering
MLOps & Model Deployment
Statistical Analysis & Hypothesis Testing
Python and R Programming Expertise
Model Evaluation & Performance Tuning
AI Governance & Compliance
Autonomous AI Agent Engineering
Building Agentic AI Applications