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Data science

INDUSTRIES

Data science 2021-02-26T13:02:07+01:00

IN BUSINESS THE DIGITAL TRANSFORMATION ENABLED BY DATA TRANSLATE INTO CHANGES IN DIFFERENT ASPECTS INCLUDING TECHNOLOGY, PROCESSES, ORGANISATION, AND CORPORATE CULTURE.

The surge in technology is generating an ever-growing volume of data. At the same time, companies have begun to store this data for future purposes. The analysis of the collected data can be of great importance in defining future scenarios. But how?

data science

Data is an asset, but the conversion is not as simple as it may seem. Without an understanding of what data represent and what you can get out of them, it’s nothing more than space taken up on a hard drive.

data science
data science

TAILORED SOLUTIONS

There is no one-fit-all solution to problems: each one must be tackled from scratch, by analyzing the context and defining the goal to achieve.

That’s the role of our Data Science Team, they evaluate the appropriate mathematical tool to use, choosing from their toolbox. Even Machine Learning and Artificial Intelligence algorithms are just tools – like the wrench for the mechanic – but useless without the awareness of what you want to achieve and without the contribution of a professional who knows how to extract value.

data science

— REDUCING UNCERTAINTY

DATA INFORMATIONAL VALUE

What to do with the data set you have available? Plenty. Define a goal and together we analyze your needs. Our approach is focused on results and maximizing Time to Market.

With a statistical model that mathematically depicts a problem, you can reduce uncertainty and be more informed about your decisions making process, which means being able to accurately quantify the costs/benefits of an action and having a range of options and related odds.

You may be interested in understanding whether a certain phenomenon or behavior represents a problem for your business. With data, we can test your hypothesis and quantify the effect of external factors that may be affecting your product or work, thus enabling you to make an informed decision.

The mathematical formulation of a situation not only allows you to better understand how it develops or what it is affected by but also enables you to leverage future predictions, making fast decisions to overstep the competition.

data science

DATA SOURCES

There are many data sources that can be used to gain an information advantage that can be leveraged. From social networks profiling how you scroll through your feed, to e-commerce’s advertising targeting, automated driving systems in cars, or home assistants like Amazon’s Alexa.

data science projects

INTERCONNECTED SMARTPHONE

data science projects

SOCIAL

data science projects

CLICK ON WEBSITE 

data science projects

SMART METER

data science

IOT SENSOR

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IOT DEVICE

data science projects

GOOGLE REASERCH

data science projects

VOICE REQUEST TO GOOGLE, SIRI OR ALEXA

BIG DATA OPPORTUNITIES

There are many practical examples of how to use data to obtain competitive advantages and forecast behaviors, or effects on a process/product, in a wide range of fields and applications.
Website: testing various elements of a site by recording users’ browsing behaviors.
Large-scale retail trade: aggregate analysis of receipts issued to uncover consumption patterns.
Consumer services companies: highlight patterns of behavior and establish the average behavior of reference users.
Computer Vision and Audio Recognition: train Neural Networks to recognize specific objects or situations
Manufacturing: predicting the breakdown rate of objects subjected to deterioration.

data science

New product development and offer optimization

data science

Data-driven decision

data science

Client’s profiling

data science

Competitor analysis

data science

Break-down Rate Forecasting 

data science

Neural Networks

data science

CRM

data science

Recurrent schemes and patterns

— DATA SCIENCE AND DIGITAL TRANSFORMATION

STRATEGIC OPPORTUNITIES

Datastream is fundamental to carry out detailed analysis to understand, help and support decisional processes and competitive advantages in all the production areas. The market evolution brings customers to demand even more smart services which can solve multiple issues at the same time and in a super-fast way.
The new challenges are therefore happening on the speed and intelligence of Fast & Smart solutions: Real-Time analysis and need of intelligent learning mechanisms (such as Deep Learning and Machine Learning).

data science projects

THE LINK BETWEEN DATA AND ARTIFICIAL INTELLIGENCE

data science projects

Real time identification of the problems and malfunctions reasons

data science projects

Automated estimate of entire risk portfolios

data science projects

Develop solutions and offers by monitoring customers’buying habits

data science projects

Detect fraudulent behavior before it can hit you by putting your business at risk

— INSIGHT

LESSON LEARNED: BIG DATA AND AI

In this insight, some significant examples of how we have helped some customers to extract value from their datasets, through processes, technologies, and skills in Artificial Intelligence and Analytics.

READ THE FULL ARTICLE
data science projects

— PRODUCTS

ESPLORES: KNOWLEDGE DISCOVERY PLATFORM

Esplores is a data visualization/interaction that creates virtual views and very effective analysis of any type of data – Big Data – whatever your operating field.

data science projects

Reduces the complexity of Big Data projects.

data science projects

Easily connects to multiple database types (Oracle, Microsoft, MongoDB, etc).

data science projects

Integrated with Python, it implements Data Mining activities.

data science projects

It helps companies in their digital transformation process, facilitating interactions between the ICT department and the Business Units.

DISCOVER ESPLORES
data science projects

WHITE PAPER
— BIG DATA: THE BUSINESS OF INFORMATION —

data science projects
DOWNLOAD THE WHITE PAPER

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