Data is the new oil. Clive Humby Who are we? Multidisciplinary - - PowerPoint PPT Presentation

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Oct 29, 2022 157 likes •440 views

Data is the new oil. Clive Humby Who are we? Multidisciplinary Team Data Scientists Data Engineers Database Engineers Machine Learning Engineers Multidisciplinary Backgrounds Data Science Business

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“Data is the new oil”.

Clive Humby

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Who are we?

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Multidisciplinary Team

Data Scientists
Data Engineers
Database Engineers
Machine Learning Engineers

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Multidisciplinary Backgrounds

Data Science
Business Intelligence
Engineering
Economics
Database Architecture
Software Development

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Our Mission

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Provide to our customers high quality solutions in Big Data, Data Engineering and Data Science in

rder to boost their business while giving support

to efficient strategic decision making.

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Our Vision

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To be an innovative company from whom people feel proud of being part of and to be a reference in quality in the IT market.

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Our Values

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Collaborative people
Innovation culture
Analytical mind
People success
Quality

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Our experience

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Data Science Projects

Text Mining/Text Analytics/Chat Bot
Data/Big Data Analytics and Predictive Models
Computer Vision and Image Detection
Anomaly/Fraud Detection
Clustering and Recommendation software
IoT Systems with Time Series Analysis

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Some projects we have done:

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IT Operations Industry

Prediction for ticket dispatch
Classification of ticket text closure
Worked hours anomaly detection
Server resources anomaly detection
Root cause detection with change/incident

correlation

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Health Industry

Classification of cancer images for skin cancer

type identification

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Software Industry

Log analytics with anomaly detection

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Finance Industry

Fraud detection on transactions

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Energy Industry

IoT system with prediction, simulation and

anomaly detection

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How can we help your business? (in six steps)

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Step 1: Spotting a pain

You identify a problem.

It could be something you would like to improve profit or reduce expenses.

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Step 2: Gathering data

You provide data about the issue.

It could be data about employees, sales, products or everything else.

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Step 3: Preparing data

We clean, standardize, normalize and remove

missing/wrong data in order to avoid misunderstandings.

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Step 4: Drilling data

We understand the data, apply analytic technics
n it and suggest a strategy to extract valuable

insights for your business.

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Step 5: Creating a solution

We develop a model or a bot that best suits your

problem.

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Step 6: Deploying the solution

We deploy the final solution that provides

predictions/insights for your business.

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