BLEU LEAF ANALYTICS
DATA as a Service
We bring together data strategy, engineering, and advanced data analytics to help organisations leverage their data into meaningful, actionable insights.
DATA ANALYSIS
Gather important data insights that will take your business performance and customer experience to the next level.
DATA SCIENCE
Utilise data modelling, ML and AI expertise to help your organisation maximise the potential of your data.
DAta engineering
Build your entire data infrastructure into the GCP feeding your data into valuable data visualisations
Bleu Leaf Analytics is a big data analytics consultancy.
We bring together data strategy, engineering, and advanced data analytics to help organisations leverage their data into meaningful, actionable insights.
We simplify big data with fully managed services that include professional consultations, highly experienced advisors, and transparent, focused collaboration. With our expertise, you can fully visualise your data and focus on the decisions that matter.
We are a customer-oriented business, focusing on providing excellent customer care in addition to supreme quality and passion for data. We also place a strong emphasis on confidentiality and treat your data with the utmost respect.
Experienced advisory team
Professional Consulting Services
Focused and collaborative
Fully managed services
• OUR SERVICES •
Services We Provide
Data Strategy
Develop or refine your data strategy by building successful data performance frameworks. We will help you align your mission with customer goals, identify your data sources, and define your mission KPIs and service metrics. Get clarity on how to leverage the power of your data from the start.
- Understand your mission goals
- Define data sources
- Define metrics and service KPI’s
- Get your data strategy right the first time
Advanced Data Analytics
Bleu Leaf Analytics understands the power of historical data and analytics models to predict future outcomes. Our methodologies uncover risks and opportunities for your business. By capitalising on your data assets, we gather important data insights that will take your business performance and customer experience to the next level.
- Data assessment
- Data collection
- Data analysis
- Data visualisation & reporting
Data Science
Utilise data modelling, ML and AI expertise to help your organisation maximise the potential of your data.Utilise data modelling, ML and AI expertise to help your organisation maximise the potential of your data.Utilise data modelling, ML and AI expertise to help your organisation maximise the potential of your data.Utilise data modelling, ML and AI expertise to help your organisation maximise the potential of your data.
- AI and ML
- NLP
- Predictive analytics solutions
Data Engineering
Build your entire data infrastructure into the GCP feeding your data into valuable data visualisationsUtilise data modelling, ML and AI expertise to help your organisation maximise the potential of your data.Utilise data modelling, ML and AI expertise to help your organisation maximise the potential of your data.Utilise data modelling, ML and AI expertise to help your organisation maximise the potential of your data.
- Data source assessment
- Extract, Transform & Load
- Data analytics
- Visualisation & reporting
Data Training
Your employees must embrace modern data techniques in order to realize your most important strategic initiatives. The data science and analytic courses by Bleu Leaf Corporate Training are designed and delivered by experienced Senior Data Scientists to do just that. With proven instructional excellence and outcomes, our courses will enable your teams to immediately implement what they learn, so they can do what matters most – tackle your most challenging business problems.
- Data Analysis Excel
- Introduction to Statistics
- Python for Data Analysts
- R for Data Analysts…
Data Governance
Analytics data governance is an ongoing initiative with executive buy-in to establish strategic vision and oversight over the goals, communication, policies, processes, measurement, and management of data with the objective to empower decision makers with competitive analytics insights (i.e. operationalize analytics), build competitive advantage and reduce risks.
- Develop Data Strategies
- Manage Data Quality and Resolve Issues
- Share Insights and Results
- Manage data mining models and tools
• OUR CASE STUDY
Let’s Explore Our Case Studies
A Government Department
When the company in the focus of this case study first contacted us, their main concerns were about devising a plan to make their data ingestion service more scalable, more stable and more powerful.
The company had 3 primary event-based sources of data and all of them emitted at least thousands of new rows of data each hour which was becoming really hard to manage with our client’s in-house database server.
AN e-Commerce Company
Sentiment Analysis holds a vital role in performing marketing analysis. Our client wanted to automate the process of reading the feedback left from the customers to determine the user sentiment at consumer level. The existing process included manual labour to comb through all the customer feedback reviews and present the findings to the Product teams. It was practically impossible to go through tens of thousands of reviews left by the customers. As a result, a handful of the comments were chosen randomly to assess the sentiments behind them…
• Technologies •
Technologies we use
