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 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.
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.
— 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 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.
INTERCONNECTED SMARTPHONE
SOCIAL
CLICK ON WEBSITE
SMART METER
IOT SENSOR
IOT DEVICE
GOOGLE REASERCH
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.
New product development and offer optimization
Data-driven decision
Client’s profiling
Competitor analysis
Break-down Rate Forecasting
Neural Networks
CRM
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).
THE LINK BETWEEN DATA AND ARTIFICIAL INTELLIGENCE
Real time identification of the problems and malfunctions reasons
Automated estimate of entire risk portfolios
Develop solutions and offers by monitoring customers’buying habits
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.
— 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.
Reduces the complexity of Big Data projects.
Easily connects to multiple database types (Oracle, Microsoft, MongoDB, etc).
Integrated with Python, it implements Data Mining activities.
It helps companies in their digital transformation process, facilitating interactions between the ICT department and the Business Units.
WHITE PAPER
— BIG DATA: THE BUSINESS OF INFORMATION —
