Extreme Analytics (EA) is a start-up consulting firm focused on serving the comprehensive needs of businesses in the full range of the business cycle. With a core staff of experienced professionals and a team approach to most consulting projects, EA will be able to offer a more balanced quality service than many of its competitors.
What We Do?
Extreme Analytics is Consulting firm with Data Science & Analytics experts to successfully conclude your Data-related challenges. EA offers a list of services for business to choose from, depending on their Data and analytics needs. This includes; Data Governance, Data Quality Assessment and fulfilment, Business Intelligence, Data Science and Data Engineering.
The Core focus of EA is to enable business for their digital transformation journey and data maturity. We can be end-to-end technology partner from Assessment to Implementation to Ongoing Support.
Business face challenges of Data Chaos and Analytics Obscurity
Per year on Repetitive manual spreadsheet work
Up to 85%
of data Warehouse projects fails to achieve the required Business value
Models have five or more different data Sources
Data Science Models are are only Partially Deployed
Extreme Analytics is a consulting firm exclusively working on Automation, Analytics and AI:
- 1We support our customers to become more AI-Driven and drastically increase the value of their data.
- 2We identify the best technologies required to disrupt our customer’s value chain by generating new use cases.
- 3We support the implementation from prototyping to version release with a key focus on change management.
To predict customer purchases in order to optimise inventory management and production process
To predict and detect faults in electrical equipment such as motor, generator, turbines, transformer etc. in order to timely schedule a factory plant's maintenance routine
To identify target customers for a product in order to devise marketing strategies
To ingest sentiment data from social media platforms such as Facebook and Twitter in order to improve customer service and improve offering of products and services
To predict how productive the soil is for a particular crop before sowing
Credit Scoring / Eligibility Model
To predict if a customer is eligible for a loan
To predict which product a customer will buy in order to improve clients recommendations, so that they can make sure their customers don't miss out on their next favourite thing
Real-time automated attendance system which will mark attendance of students and employees alike using face biometrics based on high - definition monitor video and other information technology
Comprehensively modelled the complex landscape of Crude Oil price prediction in real-time
To predict which customers will leave in the next n months so that early intervention processes can be put in place to reduce customer churn
- 1Data Quality and assessment projects
- 2Data Transformation
- 3Business Intelligence (Convert legacy reporting)
- 4Data Science
- 5Data Governance
- 6Managed Services
Proof of Value
Deployment (Model Building)