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.

Challenges

Business face challenges of Data Chaos and Analytics Obscurity

$60 Billion

Modelling Inefficiencies

Per year on Repetitive manual spreadsheet work

Failure rate

Up to 85%

of data Warehouse projects fails to achieve the required Business value

37%

Hidden Data

of Analyst Time spent Searching for Data

60%+

Multiple Inputs

Models have five or more different data Sources

87%

Wasted Efforts

Data Science Models are are only Partially Deployed

Value Proposition

Extreme Analytics is a consulting firm exclusively working on Automation, Analytics and AI: 

  1. 1
    We support our customers to become more AI-Driven and drastically increase the value of their data.
  2. 2
    We identify the best technologies required to disrupt our customer’s value chain by generating new use cases. 
  3. 3
    We support the implementation from prototyping to version release with a key focus on change management.

Products

1

Sales Forecasting

To predict customer purchases in order to optimise inventory management and production process

2

Predictive Maintenance

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

3

Customer Segmentation

To identify target customers for a product in order to devise marketing strategies

4

Sentiment Analysis

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

5

Agricultural Productivity

To predict how productive the soil is for a particular crop before sowing

6

Credit Scoring / Eligibility Model

To predict if a customer is eligible for a loan

7

Recommender Systems

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

8

Facial Recognition

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

9

Price Prediction

Comprehensively modelled the complex landscape of Crude Oil price prediction in real-time

10

Churn Analysis

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

Services 

  1. 1
    Data Quality and assessment projects
  2. 2
    Data Transformation 
  3. 3
    Business Intelligence (Convert legacy reporting)
  4. 4
    Data Science 
  5. 5
    Data Governance
  6. 6
    Managed Services

Our Methodology 

01

Discovery Team

Assess, explore

02

Proof of Value

Communicate, confirm

03

Deployment (Model Building)

Develop, refine

04

Support

Validate, translate

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